FedP²EFT: Federated Learning to Personalize PEFT for Multilingual LLMs.

Timothy M. Hospedales Queen Mary University of London, UK University of Edinburgh, UK http://homepages.inf.ed.ac.uk/thospeda/ https://scholar.google.com/citations?user=nHhtvqkAAAAJ https://zbmath.org/authors/?q=ai:hospedales.timothy-m https://orcid.org/0000-0003-4867-7486 https://www.wikidata.org/entity/Q59648161 https://www.scopus.com/authid/detail.uri?authorId=23990799300 Royson Lee Minyoung Kim 0001 Fady Rezk Rui Li 0052 Stylianos I. Venieris Timothy M. Hospedales FedP²EFT: Federated Learning to Personalize PEFT for Multilingual LLMs. 22805-22813 2026 AAAI https://doi.org/10.1609/aaai.v40i27.39443 conf/aaai/2026 db/conf/aaai/aaai2026.html#LeeKRLVH26

Hao Mark Chen Zhiwen Mo Royson Lee Qianzhou Wang Da Li 0001 Shell Xu Hu Wayne Luk Timothy M. Hospedales Hongxiang Fan Dynamic Expert Sharing: Decoupling Memory from Parallelism in Mixture-of-Experts Diffusion LLMs. 2026 February abs/2602.00879 CoRR https://doi.org/10.48550/arXiv.2602.00879 db/journals/corr/corr2602.html#abs-2602-00879 streams/journals/corr

Yang Li Youyang Sha Yinzhi Wang Timothy M. Hospedales Xi Shen Shell Xu Hu Xuanlong Yu From Misclassifications to Outliers: Joint Reliability Assessment in Classification. 2026 March abs/2603.03903 CoRR https://doi.org/10.48550/arXiv.2603.03903 db/journals/corr/corr2603.html#abs-2603-03903 streams/journals/corr

Minyoung Kim 0001 Timothy M. Hospedales FedHB: Hierarchical Bayesian Federated Learning. 272:1-272:50 2025 26 J. Mach. Learn. Res. https://jmlr.org/papers/v26/23-1350.html db/journals/jmlr/jmlr26.html#0001H25

Yongshuo Zong Oisin Mac Aodha Timothy M. Hospedales Self-Supervised Multimodal Learning: A Survey. 5299-5318 2025 July 47 IEEE Trans. Pattern Anal. Mach. Intell. 7 https://doi.org/10.1109/TPAMI.2024.3429301 db/journals/pami/pami47.html#ZongAH25 streams/journals/pami

Minyoung Kim 0001 Timothy M. Hospedales A Stochastic Approach to Bi-Level Optimization for Hyperparameter Optimization and Meta Learning. 17913-17920 2025 AAAI https://doi.org/10.1609/aaai.v39i17.33970 conf/aaai/2025 db/conf/aaai/aaai2025.html#KimH25 Ruchika Chavhan Da Li 0001 Timothy M. Hospedales ConceptPrune: Concept Editing in Diffusion Models via Skilled Neuron Pruning. 2025 ICLR https://openreview.net/forum?id=kSdWcw5mkp conf/iclr/2025 db/conf/iclr/iclr2025.html#Chavhan0H25 Minyoung Kim 0001 Timothy M. Hospedales LiFT: Learning to Fine-Tune via Bayesian Parameter Efficient Meta Fine-Tuning. 2025 ICLR https://openreview.net/forum?id=7nyJBVCTGQ conf/iclr/2025 db/conf/iclr/iclr2025.html#KimH25 Yongshuo Zong Ondrej Bohdal Timothy M. Hospedales VL-ICL Bench: The Devil in the Details of Multimodal In-Context Learning. 2025 ICLR https://openreview.net/forum?id=cpGPPLLYYx conf/iclr/2025 db/conf/iclr/iclr2025.html#ZongBH25 Yongxin Yang Wenqi Chen Chao Shu Timothy M. Hospedales HyperIV: Real-time Implied Volatility Smoothing. 2025 ICML https://proceedings.mlr.press/v267/yang25d.html https://openreview.net/forum?id=o9jtS7HupI conf/icml/2025 db/conf/icml/icml2025.html#YangCSH25 Felix Ingham Richard Culwick Duncan Williams Timothy M. Hospedales Benchmarking Transfer Learning in Passive Sonar: An Evaluation Study. 1-6 2025 MLSP https://doi.org/10.1109/MLSP62443.2025.11204218 conf/mlsp/2025 db/conf/mlsp/mlsp2025.html#InghamCWH25 streams/conf/mlsp Raman Dutt Ondrej Bohdal Pedro Sanchez Sotirios A. Tsaftaris Timothy M. Hospedales MemControl: Mitigating Memorization in Diffusion Models via Automated Parameter Selection. 4491-4501 2025 WACV https://doi.org/10.1109/WACV61041.2025.00441 conf/wacv/2025 db/conf/wacv/wacv2025.html#DuttBSTH25

Boyan Gao Bo Zhao Shreyank N. Gowda Xingrun Xing Yibo Yang Timothy M. Hospedales David A. Clifton Enhancing Generalization via Sharpness-Aware Trajectory Matching for Dataset Condensation. 2025 February abs/2502.01865 CoRR https://doi.org/10.48550/arXiv.2502.01865 db/journals/corr/corr2502.html#abs-2502-01865 streams/journals/corr

Royson Lee Minyoung Kim 0001 Fady Rezk Rui Li 0052 Stylianos I. Venieris Timothy M. Hospedales FedP<sup>2</sup>EFT: Federated Learning to Personalize Parameter Efficient Fine-Tuning for Multilingual LLMs. 2025 February abs/2502.04387 CoRR https://doi.org/10.48550/arXiv.2502.04387 db/journals/corr/corr2502.html#abs-2502-04387 streams/journals/corr

Fady Rezk Royson Lee Henry Gouk Timothy M. Hospedales Minyoung Kim 0001 Model Diffusion for Certifiable Few-shot Transfer Learning. 2025 February abs/2502.06970 CoRR https://doi.org/10.48550/arXiv.2502.06970 db/journals/corr/corr2502.html#abs-2502-06970 streams/journals/corr

Hao Mark Chen Shell Xu Hu Wayne Luk Timothy M. Hospedales Hongxiang Fan FW-Merging: Scaling Model Merging with Frank-Wolfe Optimization. 2025 March abs/2503.12649 CoRR https://doi.org/10.48550/arXiv.2503.12649 db/journals/corr/corr2503.html#abs-2503-12649 streams/journals/corr

Raman Dutt Pedro Sanchez Yongchen Yao Steven McDonagh 0001 Sotirios A. Tsaftaris Timothy M. Hospedales CheXGenBench: A Unified Benchmark For Fidelity, Privacy and Utility of Synthetic Chest Radiographs. 2025 May abs/2505.10496 CoRR https://doi.org/10.48550/arXiv.2505.10496 db/journals/corr/corr2505.html#abs-2505-10496 streams/journals/corr

Taehoon Kim Henry Gouk Minyoung Kim 0001 Timothy M. Hospedales Model Merging is Secretly Certifiable: Non-Vacuous Generalisation Bounds for Low-Shot Learning. 2025 May abs/2505.15798 CoRR https://doi.org/10.48550/arXiv.2505.15798 db/journals/corr/corr2505.html#abs-2505-15798 streams/journals/corr

Anisha Saha Varsha Suresh Timothy M. Hospedales Vera Demberg MUStReason: A Benchmark for Diagnosing Pragmatic Reasoning in Video-LMs for Multimodal Sarcasm Detection. 2025 October abs/2510.23727 CoRR https://doi.org/10.48550/arXiv.2510.23727 db/journals/corr/corr2510.html#abs-2510-23727 streams/journals/corr

Yongchen Yao Yongshuo Zong Raman Dutt Yongxin Yang Sotirios A. Tsaftaris Timothy M. Hospedales MedVision: Dataset and Benchmark for Quantitative Medical Image Analysis. 2025 November abs/2511.18676 CoRR https://doi.org/10.48550/arXiv.2511.18676 db/journals/corr/corr2511.html#abs-2511-18676 streams/journals/corr

Taehoon Kim Henry Gouk Timothy M. Hospedales Test-Time Alignment of Text-to-Image Diffusion Models via Null-Text Embedding Optimisation. 2025 November abs/2511.20889 CoRR https://doi.org/10.48550/arXiv.2511.20889 db/journals/corr/corr2511.html#abs-2511-20889 streams/journals/corr

Fady Rezk Yuangang Pan Chuan-Sheng Foo Xun Xu 0002 Nancy Chen Henry Gouk Timothy M. Hospedales The Reward Model Selection Crisis in Personalized Alignment. 2025 December abs/2512.23067 CoRR https://doi.org/10.48550/arXiv.2512.23067 db/journals/corr/corr2512.html#abs-2512-23067 streams/journals/corr

Leonardo Iurada Silvia Bucci Timothy M. Hospedales Tatiana Tommasi Fairness Meets Cross-Domain Learning: A Benchmark of Models and Metrics. 47854-47867 2024 12 IEEE Access https://doi.org/10.1109/ACCESS.2024.3383841 db/journals/access/access12.html#IuradaBHT24

Li Liu 0002 Timothy M. Hospedales Yann LeCun Mingsheng Long Jiebo Luo 0001 Wanli Ouyang Matti Pietikäinen Tinne Tuytelaars Editorial: Learning With Fewer Labels in Computer Vision. 1319-1326 2024 March 46 IEEE Trans. Pattern Anal. Mach. Intell. 3 https://doi.org/10.1109/TPAMI.2023.3341723 db/journals/pami/pami46.html#LiuHLLLOPT24

Martin Ferianc Ondrej Bohdal Timothy M. Hospedales Miguel R. D. Rodrigues Navigating Noise: A Study of How Noise Influences Generalisation and Calibration of Neural Networks. 2024 2024 Trans. Mach. Learn. Res. https://openreview.net/forum?id=zn3fB4VVF0 db/journals/tmlr/tmlr2024.html#FeriancBHR24

Luísa Shimabucoro Ruchika Chavhan Timothy M. Hospedales Henry Gouk Evaluating the Evaluators: Are Validation Methods for Few-Shot Learning Fit for Purpose? 2024 2024 Trans. Mach. Learn. Res. https://openreview.net/forum?id=dKKY2mDEnD db/journals/tmlr/tmlr2024.html#ShimabucoroCHG24

Ruoyi Du Dongliang Chang Timothy M. Hospedales Yi-Zhe Song Zhanyu Ma DemoFusion: Democratising High-Resolution Image Generation With No $$$. 6159-6168 2024 CVPR https://doi.org/10.1109/CVPR52733.2024.00589 conf/cvpr/2024 db/conf/cvpr/cvpr2024.html#DuCHSM24 Hmrishav Bandyopadhyay Ayan Kumar Bhunia Pinaki Nath Chowdhury Aneeshan Sain Tao Xiang 0002 Timothy M. Hospedales Yi-Zhe Song SketchINR: A First Look into Sketches as Implicit Neural Representations. 12565-12574 2024 CVPR https://doi.org/10.1109/CVPR52733.2024.01194 conf/cvpr/2024 db/conf/cvpr/cvpr2024.html#BandyopadhyayBC24 Fuwen Tan Royson Lee Lukasz Dudziak Shell Xu Hu Sourav Bhattacharya Timothy M. Hospedales Georgios Tzimiropoulos Brais Martínez MobileQuant: Mobile-friendly Quantization for On-device Language Models. 9761-9771 2024 EMNLP (Findings) https://doi.org/10.18653/v1/2024.findings-emnlp.570 https://aclanthology.org/2024.findings-emnlp.570 conf/emnlp/2024f db/conf/emnlp/emnlp2024f.html#TanLDHBHTM24 Calum Heggan Sam Budgett Timothy M. Hospedales Mehrdad Yaghoobi On the Transferability of Large-Scale Self-Supervision to Few-Shot Audio Classification. 515-519 2024 ICASSP Workshops https://doi.org/10.1109/ICASSPW62465.2024.10626094 conf/icassp/2024w db/conf/icassp/icassp2024w.html#HegganBHY24 streams/conf/icassp Raman Dutt Ondrej Bohdal Sotirios A. Tsaftaris Timothy M. Hospedales FairTune: Optimizing Parameter Efficient Fine Tuning for Fairness in Medical Image Analysis. 2024 ICLR https://openreview.net/forum?id=ArpwmicoYW conf/iclr/2024 db/conf/iclr/iclr2024.html#DuttBTH24 Panagiotis Eustratiadis Lukasz Dudziak Da Li 0001 Timothy M. Hospedales Neural Fine-Tuning Search for Few-Shot Learning. 2024 ICLR https://openreview.net/forum?id=T7YV5UZKBc conf/iclr/2024 db/conf/iclr/iclr2024.html#EustratiadisD0H24 Minyoung Kim 0001 Timothy M. Hospedales A Hierarchical Bayesian Model for Few-Shot Meta Learning. 2024 ICLR https://openreview.net/forum?id=mQ72XRfYRZ conf/iclr/2024 db/conf/iclr/iclr2024.html#KimH24 Royson Lee Javier Fernández-Marqués Shell Xu Hu Da Li 0001 Stefanos Laskaridis Lukasz Dudziak Timothy M. Hospedales Ferenc Huszár Nicholas Donald Lane Recurrent Early Exits for Federated Learning with Heterogeneous Clients. 2024 ICML https://proceedings.mlr.press/v235/lee24h.html https://openreview.net/forum?id=w4B42sxNq3 conf/icml/2024 db/conf/icml/icml2024.html#LeeFH0LDHHL24 26568-26588 Yongshuo Zong Ondrej Bohdal Tingyang Yu Yongxin Yang Timothy M. Hospedales Safety Fine-Tuning at (Almost) No Cost: A Baseline for Vision Large Language Models. 2024 ICML https://proceedings.mlr.press/v235/zong24a.html https://openreview.net/forum?id=bWZKvF0g7G conf/icml/2024 db/conf/icml/icml2024.html#ZongBYYH24 62867-62891 Yongshuo Zong Tingyang Yu Ruchika Chavhan Bingchen Zhao Timothy M. Hospedales Fool Your (Vision and) Language Model with Embarrassingly Simple Permutations. 2024 ICML https://proceedings.mlr.press/v235/zong24b.html https://openreview.net/forum?id=IUijgjJgWO conf/icml/2024 db/conf/icml/icml2024.html#ZongYCZH24 62892-62913 Calum Heggan Timothy M. Hospedales Sam Budgett Mehrdad Yaghoobi From Pixels to Waveforms: Evaluating Pre-trained Image Models for Few-Shot Audio Classification. 1-8 2024 IJCNN https://doi.org/10.1109/IJCNN60899.2024.10650537 conf/ijcnn/2024 db/conf/ijcnn/ijcnn2024.html#HegganHBY24 streams/conf/ijcnn Raman Dutt Linus Ericsson Pedro Sanchez Sotirios A. Tsaftaris Timothy M. Hospedales Parameter-Efficient Fine-Tuning for Medical Image Analysis: The Missed Opportunity. 406-425 2024 MIDL https://proceedings.mlr.press/v250/dutt24a.html conf/midl/2024 db/conf/midl/midl2024.html#DuttESTH24 Xinnuo Xu Minyoung Kim 0001 Royson Lee Brais Martínez Timothy M. Hospedales A Bayesian Approach to Data Point Selection. 2024 NeurIPS http://papers.nips.cc/paper_files/paper/2024/hash/437587c32b781fbb94026ac5905b439b-Abstract-Conference.html conf/nips/2024 db/conf/nips/neurips2024.html#Xu0LMH24 Royson Lee Rui Li 0052 Stylianos I. Venieris Timothy M. Hospedales Ferenc Huszár Nicholas D. Lane Meta-Learned Kernel For Blind Super-Resolution Kernel Estimation. 1485-1494 2024 WACV https://doi.org/10.1109/WACV57701.2024.00152 conf/wacv/2024 db/conf/wacv/wacv2024.html#Lee0VHHL24 Ondrej Bohdal Da Li 0001 Shell Xu Hu Timothy M. Hospedales Feed-Forward Latent Domain Adaptation. 8475-8484 2024 WACV https://doi.org/10.1109/WACV57701.2024.00830 conf/wacv/2024 db/conf/wacv/wacv2024.html#Bohdal0HH24

Calum Heggan Sam Budgett Timothy M. Hospedales Mehrdad Yaghoobi On the Transferability of Large-Scale Self-Supervision to Few-Shot Audio Classification. 2024 abs/2402.01274 CoRR https://doi.org/10.48550/arXiv.2402.01274 db/journals/corr/corr2402.html#abs-2402-01274

Yongshuo Zong Ondrej Bohdal Tingyang Yu Yongxin Yang Timothy M. Hospedales Safety Fine-Tuning at (Almost) No Cost: A Baseline for Vision Large Language Models. 2024 abs/2402.02207 CoRR https://doi.org/10.48550/arXiv.2402.02207 db/journals/corr/corr2402.html#abs-2402-02207

Hmrishav Bandyopadhyay Ayan Kumar Bhunia Pinaki Nath Chowdhury Aneeshan Sain Tao Xiang 0002 Timothy M. Hospedales Yi-Zhe Song SketchINR: A First Look into Sketches as Implicit Neural Representations. 2024 abs/2403.09344 CoRR https://doi.org/10.48550/arXiv.2403.09344 db/journals/corr/corr2403.html#abs-2403-09344

Yongshuo Zong Ondrej Bohdal Timothy M. Hospedales VL-ICL Bench: The Devil in the Details of Benchmarking Multimodal In-Context Learning. 2024 abs/2403.13164 CoRR https://doi.org/10.48550/arXiv.2403.13164 db/journals/corr/corr2403.html#abs-2403-13164

Royson Lee Javier Fernández-Marqués Shell Xu Hu Da Li 0001 Stefanos Laskaridis Lukasz Dudziak Timothy M. Hospedales Ferenc Huszár Nicholas D. Lane Recurrent Early Exits for Federated Learning with Heterogeneous Clients. 2024 abs/2405.14791 CoRR https://doi.org/10.48550/arXiv.2405.14791 db/journals/corr/corr2405.html#abs-2405-14791

Ruchika Chavhan Da Li 0001 Timothy M. Hospedales ConceptPrune: Concept Editing in Diffusion Models via Skilled Neuron Pruning. 2024 abs/2405.19237 CoRR https://doi.org/10.48550/arXiv.2405.19237 db/journals/corr/corr2405.html#abs-2405-19237

Raman Dutt Pedro Sanchez Ondrej Bohdal Sotirios A. Tsaftaris Timothy M. Hospedales MemControl: Mitigating Memorization in Medical Diffusion Models via Automated Parameter Selection. 2024 abs/2405.19458 CoRR https://doi.org/10.48550/arXiv.2405.19458 db/journals/corr/corr2405.html#abs-2405-19458

Bingchen Zhao Yongshuo Zong Letian Zhang Timothy M. Hospedales Benchmarking Multi-Image Understanding in Vision and Language Models: Perception, Knowledge, Reasoning, and Multi-Hop Reasoning. 2024 abs/2406.12742 CoRR https://doi.org/10.48550/arXiv.2406.12742 db/journals/corr/corr2406.html#abs-2406-12742

Ruchika Chavhan Ondrej Bohdal Yongshuo Zong Da Li 0001 Timothy M. Hospedales Memorized Images in Diffusion Models share a Subspace that can be Located and Deleted. 2024 abs/2406.18566 CoRR https://doi.org/10.48550/arXiv.2406.18566 db/journals/corr/corr2406.html#abs-2406-18566 streams/journals/corr

Fuwen Tan Royson Lee Lukasz Dudziak Shell Xu Hu Sourav Bhattacharya Timothy M. Hospedales Georgios Tzimiropoulos Brais Martínez MobileQuant: Mobile-friendly Quantization for On-device Language Models. 2024 abs/2408.13933 CoRR https://doi.org/10.48550/arXiv.2408.13933 db/journals/corr/corr2408.html#abs-2408-13933 streams/journals/corr

Minyoung Kim 0001 Timothy M. Hospedales A Stochastic Approach to Bi-Level Optimization for Hyperparameter Optimization and Meta Learning. 2024 abs/2410.10417 CoRR https://doi.org/10.48550/arXiv.2410.10417 db/journals/corr/corr2410.html#abs-2410-10417 streams/journals/corr

Raman Dutt Pedro Sanchez Ondrej Bohdal Sotirios A. Tsaftaris Timothy M. Hospedales Capacity Control is an Effective Memorization Mitigation Mechanism in Text-Conditional Diffusion Models. 2024 abs/2410.22149 CoRR https://doi.org/10.48550/arXiv.2410.22149 db/journals/corr/corr2410.html#abs-2410-22149 streams/journals/corr

Xinnuo Xu Minyoung Kim 0001 Royson Lee Brais Martínez Timothy M. Hospedales A Bayesian Approach to Data Point Selection. 2024 abs/2411.03768 CoRR https://doi.org/10.48550/arXiv.2411.03768 db/journals/corr/corr2411.html#abs-2411-03768 streams/journals/corr

Peng Xu 0005 Timothy M. Hospedales Qiyue Yin Yi-Zhe Song Tao Xiang 0002 Liang Wang 0001 Deep Learning for Free-Hand Sketch: A Survey. 285-312 2023 45 IEEE Trans. Pattern Anal. Mach. Intell. 1 https://doi.org/10.1109/TPAMI.2022.3148853 db/journals/pami/pami45.html#0005HYSX023

Zhihe Lu Da Li 0001 Yi-Zhe Song Tao Xiang 0002 Timothy M. Hospedales Uncertainty-Aware Source-Free Domain Adaptive Semantic Segmentation. 4664-4676 2023 32 IEEE Trans. Image Process. https://doi.org/10.1109/TIP.2023.3295929 db/journals/tip/tip32.html#LuLSXH23

Ondrej Bohdal Yongxin Yang Timothy M. Hospedales Meta-Calibration: Learning of Model Calibration Using Differentiable Expected Calibration Error. 2023 2023 Trans. Mach. Learn. Res. https://openreview.net/forum?id=R2hUure38l db/journals/tmlr/tmlr2023.html#BohdalYH23

Jingshi Lei Da Li 0001 Chengming Xu 0001 Liming Fang Timothy M. Hospedales Yanwei Fu 0001 Worst-case Feature Risk Minimization for Data-Efficient Learning. 2023 2023 Trans. Mach. Learn. Res. https://openreview.net/forum?id=czev0exHXT db/journals/tmlr/tmlr2023.html#LeiL0FH023

Linus Ericsson Da Li 0001 Timothy M. Hospedales Better Practices for Domain Adaptation. 4/1-25 2023 AutoML https://proceedings.mlr.press/v224/ericsson23a.html conf/automl/2023 db/conf/automl/automl2023.html#Ericsson0H23 Ruolin Yang 0001 Da Li 0001 Conghui Hu Timothy M. Hospedales Honggang Zhang 0001 Yi-Zhe Song Sketch-based Video Object Segmentation: Benchmark and Analysis. 540-541 2023 BMVC http://proceedings.bmvc2023.org/540/ conf/bmvc/2023 db/conf/bmvc/bmvc2023.html#00010HH0S23 Yongxin Yang Timothy M. Hospedales Partial Index Tracking: A Meta-Learning Approach. 415-436 2023 CoLLAs https://proceedings.mlr.press/v232/yang23a.html conf/collas/2023 db/conf/collas/collas2023.html#YangH23 Dongliang Chang Yujun Tong Ruoyi Du Timothy M. Hospedales Yi-Zhe Song Zhanyu Ma An Erudite Fine-Grained Visual Classification Model. 7268-7277 2023 CVPR https://doi.org/10.1109/CVPR52729.2023.00702 conf/cvpr/2023 db/conf/cvpr/cvpr2023.html#ChangTDHSM23 Ondrej Bohdal Yinbing Tian Yongshuo Zong Ruchika Chavhan Da Li 0001 Henry Gouk Li Guo Timothy M. Hospedales Meta Omnium: A Benchmark for General-Purpose Learning-to-Learn. 7693-7703 2023 CVPR https://doi.org/10.1109/CVPR52729.2023.00743 conf/cvpr/2023 db/conf/cvpr/cvpr2023.html#BohdalTZC0GGH23 Ruoyi Du Dongliang Chang Kongming Liang Timothy M. Hospedales Yi-Zhe Song Zhanyu Ma On-the-Fly Category Discovery. 11691-11700 2023 CVPR https://doi.org/10.1109/CVPR52729.2023.01125 conf/cvpr/2023 db/conf/cvpr/cvpr2023.html#DuCLHSM23 Fengyin Lin Mingkang Li 0003 Da Li 0001 Timothy M. Hospedales Yi-Zhe Song Yonggang Qi Zero-Shot Everything Sketch-Based Image Retrieval, and in Explainable Style. 23349-23358 2023 CVPR https://doi.org/10.1109/CVPR52729.2023.02236 conf/cvpr/2023 db/conf/cvpr/cvpr2023.html#LinL0HSQ23 Yongxin Yang Timothy M. Hospedales An Evaluation of Self-supervised Learning for Portfolio Diversification. 283-294 2023 ICANN (3) https://doi.org/10.1007/978-3-031-44213-1_24 conf/icann/2023-3 db/conf/icann/icann2023-3.html#YangH23 streams/conf/icann Fady Rezk Antreas Antoniou Henry Gouk Timothy M. Hospedales Is Scaling Learned Optimizers Worth It? Evaluating The Value of VeLO's 4000 TPU Months. 65-83 2023 ICBINB https://proceedings.mlr.press/v239/rezk23a.html conf/icbinb/2023 db/conf/icbinb/icbinb2023.html#RezkAGH23 Yurong Guo Ruoyi Du Yuan Dong Timothy M. Hospedales Yi-Zhe Song Zhanyu Ma Task-aware Adaptive Learning for Cross-domain Few-shot Learning. 1590-1599 2023 ICCV https://doi.org/10.1109/ICCV51070.2023.00153 conf/iccv/2023 db/conf/iccv/iccv2023.html#GuoDDHSM23 Ruchika Chavhan Henry Gouk Da Li 0001 Timothy M. Hospedales Quality Diversity for Visual Pre-Training. 5361-5371 2023 ICCV https://doi.org/10.1109/ICCV51070.2023.00496 conf/iccv/2023 db/conf/iccv/iccv2023.html#ChavhanG0H23 Ayan Das 0003 Yongxin Yang Timothy M. Hospedales Tao Xiang 0002 Yi-Zhe Song ChiroDiff: Modelling chirographic data with Diffusion Models. 2023 ICLR https://openreview.net/forum?id=1ROAstc9jv conf/iclr/2023 db/conf/iclr/iclr2023.html#0003YHXS23 Ruchika Chavhan Jan Stuehmer Calum Heggan Mehrdad Yaghoobi Timothy M. Hospedales Amortised Invariance Learning for Contrastive Self-Supervision. 2023 ICLR https://openreview.net/forum?id=nXOhmfFu5n conf/iclr/2023 db/conf/iclr/iclr2023.html#ChavhanSHYH23 Cristina Cornelio Jan Stuehmer Shell Xu Hu Timothy M. Hospedales Learning where and when to reason in neuro-symbolic inference. 2023 ICLR https://openreview.net/forum?id=en9V5F8PR- conf/iclr/2023 db/conf/iclr/iclr2023.html#CornelioSHH23 Minyoung Kim 0001 Da Li 0001 Timothy M. Hospedales Domain Generalisation via Domain Adaptation: An Adversarial Fourier Amplitude Approach. 2023 ICLR https://openreview.net/forum?id=7IG0wsTND7w conf/iclr/2023 db/conf/iclr/iclr2023.html#Kim0H23 Yongshuo Zong Yongxin Yang Timothy M. Hospedales MEDFAIR: Benchmarking Fairness for Medical Imaging. 2023 ICLR https://openreview.net/forum?id=6ve2CkeQe5S conf/iclr/2023 db/conf/iclr/iclr2023.html#ZongYH23 Calum Heggan Timothy M. Hospedales Sam Budgett Mehrdad Yaghoobi MT-SLVR: Multi-Task Self-Supervised Learning for Transformation In(Variant) Representations. 4399-4403 2023 INTERSPEECH https://doi.org/10.21437/Interspeech.2023-1064 conf/interspeech/2023 db/conf/interspeech/interspeech2023.html#HegganHBY23 Cristina Cornelio Jan Stühmer Shell Xu Hu Timothy M. Hospedales Learning Where and When to Reason in Neuro-Symbolic Inference. 411-412 2023 NeSy https://ceur-ws.org/Vol-3432/paper35.pdf conf/nesy/2023 db/conf/nesy/nesy2023.html#CornelioSHH23 Minyoung Kim 0001 Timothy M. Hospedales BayesTune: Bayesian Sparse Deep Model Fine-tuning. 2023 NeurIPS http://papers.nips.cc/paper_files/paper/2023/hash/cde2dc73e0ad650176cdfa9b779eefc7-Abstract-Conference.html conf/nips/2023 db/conf/nips/neurips2023.html#KimH23 Royson Lee Minyoung Kim 0001 Da Li 0001 Xinchi Qiu Timothy M. Hospedales Ferenc Huszar Nicholas D. Lane FedL2P: Federated Learning to Personalize. 2023 NeurIPS http://papers.nips.cc/paper_files/paper/2023/hash/2fb57276bfbaf1b832d7bfcba36bb41c-Abstract-Conference.html conf/nips/2023 db/conf/nips/neurips2023.html#LeeK0QHHL23 Yongxin Yang Timothy M. Hospedales On Calibration of Mathematical Finance Models by Hypernetworks. 227-242 2023 ECML/PKDD (6) https://doi.org/10.1007/978-3-031-43427-3_14 conf/pkdd/2023-6 db/conf/pkdd/pkdd2023-6.html#YangH23 Yongxin Yang Timothy M. Hospedales Mixture of Normalizing Flows for European Option Pricing. 2390-2399 2023 UAI https://proceedings.mlr.press/v216/yang23b.html conf/uai/2023 db/conf/uai/uai2023.html#YangH23 Mustafa Taha Koçyigit Timothy M. Hospedales Hakan Bilen Accelerating Self-Supervised Learning via Efficient Training Strategies. 5643-5653 2023 WACV https://doi.org/10.1109/WACV56688.2023.00561 conf/wacv/2023 db/conf/wacv/wacv2023.html#KocyigitHB23

Minyoung Kim 0001 Da Li 0001 Timothy M. Hospedales Domain Generalisation via Domain Adaptation: An Adversarial Fourier Amplitude Approach. 2023 abs/2302.12047 CoRR https://doi.org/10.48550/arXiv.2302.12047 db/journals/corr/corr2302.html#abs-2302-12047

Ruchika Chavhan Henry Gouk Jan Stuehmer Calum Heggan Mehrdad Yaghoobi Timothy M. Hospedales Amortised Invariance Learning for Contrastive Self-Supervision. 2023 abs/2302.12712 CoRR https://doi.org/10.48550/arXiv.2302.12712 db/journals/corr/corr2302.html#abs-2302-12712

Fengyin Lin Mingkang Li 0003 Da Li 0001 Timothy M. Hospedales Yi-Zhe Song Yonggang Qi Zero-Shot Everything Sketch-Based Image Retrieval, and in Explainable Style. 2023 abs/2303.14348 CoRR https://doi.org/10.48550/arXiv.2303.14348 db/journals/corr/corr2303.html#abs-2303-14348

Leonardo Iurada Silvia Bucci Timothy M. Hospedales Tatiana Tommasi Fairness meets Cross-Domain Learning: a new perspective on Models and Metrics. 2023 abs/2303.14411 CoRR https://doi.org/10.48550/arXiv.2303.14411 db/journals/corr/corr2303.html#abs-2303-14411

Yongshuo Zong Oisin Mac Aodha Timothy M. Hospedales Self-Supervised Multimodal Learning: A Survey. 2023 abs/2304.01008 CoRR https://doi.org/10.48550/arXiv.2304.01008 db/journals/corr/corr2304.html#abs-2304-01008

Ayan Das 0003 Yongxin Yang Timothy M. Hospedales Tao Xiang 0002 Yi-Zhe Song ChiroDiff: Modelling chirographic data with Diffusion Models. 2023 abs/2304.03785 CoRR https://doi.org/10.48550/arXiv.2304.03785 db/journals/corr/corr2304.html#abs-2304-03785

Ondrej Bohdal Timothy M. Hospedales Philip H. S. Torr Fazl Barez Fairness in AI and Its Long-Term Implications on Society. 2023 abs/2304.09826 CoRR https://doi.org/10.48550/arXiv.2304.09826 db/journals/corr/corr2304.html#abs-2304-09826

Minyoung Kim 0001 Timothy M. Hospedales FedHB: Hierarchical Bayesian Federated Learning. 2023 abs/2305.04979 CoRR https://doi.org/10.48550/arXiv.2305.04979 db/journals/corr/corr2305.html#abs-2305-04979

Ondrej Bohdal Yinbing Tian Yongshuo Zong Ruchika Chavhan Da Li 0001 Henry Gouk Li Guo Timothy M. Hospedales Meta Omnium: A Benchmark for General-Purpose Learning-to-Learn. 2023 abs/2305.07625 CoRR https://doi.org/10.48550/arXiv.2305.07625 db/journals/corr/corr2305.html#abs-2305-07625

Raman Dutt Linus Ericsson Pedro Sanchez Sotirios A. Tsaftaris Timothy M. Hospedales Parameter-Efficient Fine-Tuning for Medical Image Analysis: The Missed Opportunity. 2023 abs/2305.08252 CoRR https://doi.org/10.48550/arXiv.2305.08252 db/journals/corr/corr2305.html#abs-2305-08252

Calum Heggan Timothy M. Hospedales Sam Budgett Mehrdad Yaghoobi MT-SLVR: Multi-Task Self-Supervised Learning for Transformation In(Variant) Representations. 2023 abs/2305.17191 CoRR https://doi.org/10.48550/arXiv.2305.17191 db/journals/corr/corr2305.html#abs-2305-17191

Panagiotis Eustratiadis Lukasz Dudziak Da Li 0001 Timothy M. Hospedales Neural Fine-Tuning Search for Few-Shot Learning. 2023 abs/2306.09295 CoRR https://doi.org/10.48550/arXiv.2306.09295 db/journals/corr/corr2306.html#abs-2306-09295

Minyoung Kim 0001 Timothy M. Hospedales A Hierarchical Bayesian Model for Deep Few-Shot Meta Learning. 2023 abs/2306.09702 CoRR https://doi.org/10.48550/arXiv.2306.09702 db/journals/corr/corr2306.html#abs-2306-09702

Martin Ferianc Ondrej Bohdal Timothy M. Hospedales Miguel R. D. Rodrigues Impact of Noise on Calibration and Generalisation of Neural Networks. 2023 abs/2306.17630 CoRR https://doi.org/10.48550/arXiv.2306.17630 db/journals/corr/corr2306.html#abs-2306-17630

Luísa Shimabucoro Timothy M. Hospedales Henry Gouk Evaluating the Evaluators: Are Current Few-Shot Learning Benchmarks Fit for Purpose? 2023 abs/2307.02732 CoRR https://doi.org/10.48550/arXiv.2307.02732 db/journals/corr/corr2307.html#abs-2307-02732

Ondrej Bohdal Da Li 0001 Timothy M. Hospedales Feed-Forward Source-Free Domain Adaptation via Class Prototypes. 2023 abs/2307.10787 CoRR https://doi.org/10.48550/arXiv.2307.10787 db/journals/corr/corr2307.html#abs-2307-10787

Ondrej Bohdal Da Li 0001 Timothy M. Hospedales Label Calibration for Semantic Segmentation Under Domain Shift. 2023 abs/2307.10842 CoRR https://doi.org/10.48550/arXiv.2307.10842 db/journals/corr/corr2307.html#abs-2307-10842

Linus Ericsson Da Li 0001 Timothy M. Hospedales Better Practices for Domain Adaptation. 2023 abs/2309.03879 CoRR https://doi.org/10.48550/arXiv.2309.03879 db/journals/corr/corr2309.html#abs-2309-03879

Minyoung Kim 0001 Timothy M. Hospedales BayesDLL: Bayesian Deep Learning Library. 2023 abs/2309.12928 CoRR https://doi.org/10.48550/arXiv.2309.12928 db/journals/corr/corr2309.html#abs-2309-12928

Yongshuo Zong Tingyang Yu Bingchen Zhao Ruchika Chavhan Timothy M. Hospedales Fool Your (Vision and) Language Model With Embarrassingly Simple Permutations. 2023 abs/2310.01651 CoRR https://doi.org/10.48550/arXiv.2310.01651 db/journals/corr/corr2310.html#abs-2310-01651

Royson Lee Minyoung Kim 0001 Da Li 0001 Xinchi Qiu Timothy M. Hospedales Ferenc Huszár Nicholas D. Lane FedL2P: Federated Learning to Personalize. 2023 abs/2310.02420 CoRR https://doi.org/10.48550/arXiv.2310.02420 db/journals/corr/corr2310.html#abs-2310-02420

Raman Dutt Ondrej Bohdal Sotirios A. Tsaftaris Timothy M. Hospedales FairTune: Optimizing Parameter Efficient Fine Tuning for Fairness in Medical Image Analysis. 2023 abs/2310.05055 CoRR https://doi.org/10.48550/arXiv.2310.05055 db/journals/corr/corr2310.html#abs-2310-05055

Fady Rezk Antreas Antoniou Henry Gouk Timothy M. Hospedales Is Scaling Learned Optimizers Worth It? Evaluating The Value of VeLO's 4000 TPU Months. 2023 abs/2310.18191 CoRR https://doi.org/10.48550/arXiv.2310.18191 db/journals/corr/corr2310.html#abs-2310-18191

Ruolin Yang 0001 Da Li 0001 Conghui Hu Timothy M. Hospedales Honggang Zhang 0001 Yi-Zhe Song Sketch-based Video Object Segmentation: Benchmark and Analysis. 2023 abs/2311.07261 CoRR https://doi.org/10.48550/arXiv.2311.07261 db/journals/corr/corr2311.html#abs-2311-07261

Ruoyi Du Dongliang Chang Timothy M. Hospedales Yi-Zhe Song Zhanyu Ma DemoFusion: Democratising High-Resolution Image Generation With No $$$. 2023 abs/2311.16973 CoRR https://doi.org/10.48550/arXiv.2311.16973 db/journals/corr/corr2311.html#abs-2311-16973

Timothy M. Hospedales Antreas Antoniou Paul Micaelli Amos Storkey 0001 Meta-Learning in Neural Networks: A Survey. 5149-5169 2022 44 IEEE Trans. Pattern Anal. Mach. Intell. 9 https://doi.org/10.1109/TPAMI.2021.3079209 db/journals/pami/pami44.html#HospedalesAMS22

Linus Ericsson Henry Gouk Chen Change Loy Timothy M. Hospedales Self-Supervised Representation Learning: Introduction, advances, and challenges. 42-62 2022 39 IEEE Signal Process. Mag. 3 https://doi.org/10.1109/MSP.2021.3134634 db/journals/spm/spm39.html#EricssonGLH22

Marija Jegorova Stéphane Doncieux Timothy M. Hospedales Behavioral Repertoire via Generative Adversarial Policy Networks. 1344-1355 2022 14 IEEE Trans. Cogn. Dev. Syst. 4 https://doi.org/10.1109/TCDS.2020.3008574 db/journals/tamd/tamd14.html#JegorovaDH22

Conghui Hu Yongxin Yang Yunpeng Li 0004 Timothy M. Hospedales Yi-Zhe Song Towards Unsupervised Sketch-based Image Retrieval. 224 2022 BMVC https://bmvc2022.mpi-inf.mpg.de/224/ conf/bmvc/2022 db/conf/bmvc/bmvc2022.html#HuYLHS22 Linus Ericsson Henry Gouk Timothy M. Hospedales Why Do Self-Supervised Models Transfer? On the Impact of Invariance on Downstream Tasks. 509 2022 BMVC https://bmvc2022.mpi-inf.mpg.de/509/ conf/bmvc/2022 db/conf/bmvc/bmvc2022.html#EricssonGH22 Shell Xu Hu Da Li 0001 Jan Stühmer Minyoung Kim 0001 Timothy M. Hospedales Pushing the Limits of Simple Pipelines for Few-Shot Learning: External Data and Fine-Tuning Make a Difference. 9058-9067 2022 CVPR https://doi.org/10.1109/CVPR52688.2022.00886 conf/cvpr/2022 db/conf/cvpr/cvpr2022.html#Hu0SKH22 Calum Heggan Sam Budgett Timothy M. Hospedales Mehrdad Yaghoobi MetaAudio: A Few-Shot Audio Classification Benchmark. 219-230 2022 ICANN (1) https://doi.org/10.1007/978-3-031-15919-0_19 conf/icann/2022-1 db/conf/icann/icann2022-1.html#HegganBHY22 Ayan Das 0003 Yongxin Yang Timothy M. Hospedales Tao Xiang 0002 Yi-Zhe Song SketchODE: Learning neural sketch representation in continuous time. 2022 ICLR https://openreview.net/forum?id=c-4HSDAWua5 conf/iclr/2022 db/conf/iclr/iclr2022.html#0003YHXS22 Lucas Deecke Timothy M. Hospedales Hakan Bilen Visual Representation Learning over Latent Domains. 2022 ICLR https://openreview.net/forum?id=kG0AtPi6JI1 conf/iclr/2022 db/conf/iclr/iclr2022.html#DeeckeHB22 Haebeom Lee Hayeon Lee Jaewoong Shin Eunho Yang Timothy M. Hospedales Sung Ju Hwang Online Hyperparameter Meta-Learning with Hypergradient Distillation. 2022 ICLR https://openreview.net/forum?id=01AMRlen9wJ conf/iclr/2022 db/conf/iclr/iclr2022.html#LeeLSYHH22 Boyan Gao Henry Gouk Yongxin Yang Timothy M. Hospedales Loss Function Learning for Domain Generalization by Implicit Gradient. 7002-7016 2022 ICML https://proceedings.mlr.press/v162/gao22b.html conf/icml/2022 db/conf/icml/icml2022.html#GaoGYH22 Minyoung Kim 0001 Da Li 0001 Shell Xu Hu Timothy M. Hospedales Fisher SAM: Information Geometry and Sharpness Aware Minimisation. 11148-11161 2022 ICML https://proceedings.mlr.press/v162/kim22f.html conf/icml/2022 db/conf/icml/icml2022.html#Kim0HH22 Miguel Jaques Martin Asenov Michael Burke Timothy M. Hospedales Vision-based System Identification and 3D Keypoint Discovery using Dynamics Constraints. 316-329 2022 L4DC https://proceedings.mlr.press/v168/jaques22a.html conf/l4dc/2022 db/conf/l4dc/l4dc2022.html#JaquesABH22

Da Li 0001 Henry Gouk Timothy M. Hospedales Finding lost DG: Explaining domain generalization via model complexity. 2022 abs/2202.00563 CoRR https://arxiv.org/abs/2202.00563 db/journals/corr/corr2202.html#abs-2202-00563

Boyan Gao Henry Gouk Haebeom Lee Timothy M. Hospedales Meta Mirror Descent: Optimiser Learning for Fast Convergence. 2022 abs/2203.02711 CoRR https://doi.org/10.48550/arXiv.2203.02711 db/journals/corr/corr2203.html#abs-2203-02711

Calum Heggan Sam Budgett Timothy M. Hospedales Mehrdad Yaghoobi MetaAudio: A Few-Shot Audio Classification Benchmark. 2022 abs/2204.02121 CoRR https://doi.org/10.48550/arXiv.2204.02121 db/journals/corr/corr2204.html#abs-2204-02121

Shell Xu Hu Da Li 0001 Jan Stühmer Minyoung Kim 0001 Timothy M. Hospedales Pushing the Limits of Simple Pipelines for Few-Shot Learning: External Data and Fine-Tuning Make a Difference. 2022 abs/2204.07305 CoRR https://doi.org/10.48550/arXiv.2204.07305 db/journals/corr/corr2204.html#abs-2204-07305

Minyoung Kim 0001 Da Li 0001 Shell Xu Hu Timothy M. Hospedales Fisher SAM: Information Geometry and Sharpness Aware Minimisation. 2022 abs/2206.04920 CoRR https://doi.org/10.48550/arXiv.2206.04920 db/journals/corr/corr2206.html#abs-2206-04920

Ondrej Bohdal Da Li 0001 Shell Xu Hu Timothy M. Hospedales Feed-Forward Source-Free Latent Domain Adaptation via Cross-Attention. 2022 abs/2207.07624 CoRR https://doi.org/10.48550/arXiv.2207.07624 db/journals/corr/corr2207.html#abs-2207-07624

Ruchika Chavhan Henry Gouk Jan Stühmer Timothy M. Hospedales HyperInvariances: Amortizing Invariance Learning. 2022 abs/2207.08304 CoRR https://doi.org/10.48550/arXiv.2207.08304 db/journals/corr/corr2207.html#abs-2207-08304

Panagiotis Eustratiadis Henry Gouk Da Li 0001 Timothy M. Hospedales Attacking Adversarial Defences by Smoothing the Loss Landscape. 2022 abs/2208.00862 CoRR https://doi.org/10.48550/arXiv.2208.00862 db/journals/corr/corr2208.html#abs-2208-00862

Yongshuo Zong Yongxin Yang Timothy M. Hospedales MEDFAIR: Benchmarking Fairness for Medical Imaging. 2022 abs/2210.01725 CoRR https://doi.org/10.48550/arXiv.2210.01725 db/journals/corr/corr2210.html#abs-2210-01725

Zicheng Liu 0006 Da Li 0001 Javier Fernández-Marqués Stefanos Laskaridis Yan Gao 0016 Lukasz Dudziak Stan Z. Li Shell Xu Hu Timothy M. Hospedales Federated Learning for Inference at Anytime and Anywhere. 2022 abs/2212.04084 CoRR https://doi.org/10.48550/arXiv.2212.04084 db/journals/corr/corr2212.html#abs-2212-04084

Mustafa Taha Koçyigit Timothy M. Hospedales Hakan Bilen Accelerating Self-Supervised Learning via Efficient Training Strategies. 2022 abs/2212.05611 CoRR https://doi.org/10.48550/arXiv.2212.05611 db/journals/corr/corr2212.html#abs-2212-05611

Royson Lee Rui Li 0052 Stylianos I. Venieris Timothy M. Hospedales Ferenc Huszár Nicholas D. Lane Meta-Learned Kernel For Blind Super-Resolution Kernel Estimation. 2022 abs/2212.07886 CoRR https://doi.org/10.48550/arXiv.2212.07886 db/journals/corr/corr2212.html#abs-2212-07886

Qian Yu 0002 Jifei Song Yi-Zhe Song Tao Xiang 0002 Timothy M. Hospedales Fine-Grained Instance-Level Sketch-Based Image Retrieval. 484-500 2021 129 Int. J. Comput. Vis. 2 https://doi.org/10.1007/s11263-020-01382-3 db/journals/ijcv/ijcv129.html#YuSSXH21

Peng Xu 0005 Kun Liu 0016 Tao Xiang 0002 Timothy M. Hospedales Zhanyu Ma Jun Guo 0002 Yi-Zhe Song Fine-Grained Instance-Level Sketch-Based Video Retrieval. 1995-2007 2021 31 IEEE Trans. Circuits Syst. Video Technol. 5 https://doi.org/10.1109/TCSVT.2020.3014491 db/journals/tcsv/tcsv31.html#XuLXHMGS21

Peng Xu 0005 Yongye Huang Tongtong Yuan Tao Xiang 0002 Timothy M. Hospedales Yi-Zhe Song Liang Wang 0001 On Learning Semantic Representations for Large-Scale Abstract Sketches. 3366-3379 2021 31 IEEE Trans. Circuits Syst. Video Technol. 9 https://doi.org/10.1109/TCSVT.2020.3041586 db/journals/tcsv/tcsv31.html#0005HYXHS021

Anran Qi Yulia Gryaditskaya Jifei Song Yongxin Yang Yonggang Qi Timothy M. Hospedales Tao Xiang 0002 Yi-Zhe Song Toward Fine-Grained Sketch-Based 3D Shape Retrieval. 8595-8606 2021 30 IEEE Trans. Image Process. https://doi.org/10.1109/TIP.2021.3118975 db/journals/tip/tip30.html#QiGSYQHXS21

Tianyuan Yu Yongxin Yang Da Li 0001 Timothy M. Hospedales Tao Xiang 0002 Simple and Effective Stochastic Neural Networks. 3252-3260 2021 AAAI https://doi.org/10.1609/aaai.v35i4.16436 conf/aaai/2021 db/conf/aaai/aaai2021.html#YuYLHX21 Efthymia Tsamoura Timothy M. Hospedales Loizos Michael Neural-Symbolic Integration: A Compositional Perspective. 5051-5060 2021 AAAI https://doi.org/10.1609/aaai.v35i6.16639 conf/aaai/2021 db/conf/aaai/aaai2021.html#TsamouraHM21 Chenyang Zhao 0007 Timothy M. Hospedales Robust Domain Randomised Reinforcement Learning through Peer-to-Peer Distillation. 1237-1252 2021 ACML https://proceedings.mlr.press/v157/zhao21b.html conf/acml/2021 db/conf/acml/acml2021.html#ZhaoH21 Adrian Bulat Jean Kossaifi Sourav Bhattacharya Yannis Panagakis Timothy M. Hospedales Georgios Tzimiropoulos Nicholas D. Lane Maja Pantic Defensive Tensorization. 131 2021 BMVC https://www.bmvc2021-virtualconference.com/assets/papers/0181.pdf conf/bmvc/2021 db/conf/bmvc/bmvc2021.html#BulatKBPHTLP21 Yuting Qiang Yongxin Yang Xueting Zhang Yanwen Guo 0001 Timothy M. Hospedales Tensor Composition Net for Visual Relationship Prediction. 434 2021 BMVC https://www.bmvc2021-virtualconference.com/assets/papers/0376.pdf conf/bmvc/2021 db/conf/bmvc/bmvc2021.html#QiangYZ0H21 Miguel Jaques Michael Burke Timothy M. Hospedales NewtonianVAE: Proportional Control and Goal Identification From Pixels via Physical Latent Spaces. 4454-4463 2021 CVPR https://openaccess.thecvf.com/content/CVPR2021/html/Jaques_NewtonianVAE_Proportional_Control_and_Goal_Identification_From_Pixels_via_Physical_CVPR_2021_paper.html https://doi.org/10.1109/CVPR46437.2021.00443 conf/cvpr/2021 db/conf/cvpr/cvpr2021.html#JaquesBH21 Linus Ericsson Henry Gouk Timothy M. Hospedales How Well Do Self-Supervised Models Transfer? 5414-5423 2021 CVPR https://openaccess.thecvf.com/content/CVPR2021/html/Ericsson_How_Well_Do_Self-Supervised_Models_Transfer_CVPR_2021_paper.html https://doi.org/10.1109/CVPR46437.2021.00537 conf/cvpr/2021 db/conf/cvpr/cvpr2021.html#EricssonGH21 Ayan Kumar Bhunia Pinaki Nath Chowdhury Yongxin Yang Timothy M. Hospedales Tao Xiang 0002 Yi-Zhe Song Vectorization and Rasterization: Self-Supervised Learning for Sketch and Handwriting. 5672-5681 2021 CVPR https://openaccess.thecvf.com/content/CVPR2021/html/Bhunia_Vectorization_and_Rasterization_Self-Supervised_Learning_for_Sketch_and_Handwriting_CVPR_2021_paper.html https://doi.org/10.1109/CVPR46437.2021.00562 conf/cvpr/2021 db/conf/cvpr/cvpr2021.html#BhuniaCYHXS21 Ayan Das 0003 Yongxin Yang Timothy M. Hospedales Tao Xiang 0002 Yi-Zhe Song Cloud2Curve: Generation and Vectorization of Parametric Sketches. 7088-7097 2021 CVPR https://openaccess.thecvf.com/content/CVPR2021/html/Das_Cloud2Curve_Generation_and_Vectorization_of_Parametric_Sketches_CVPR_2021_paper.html https://doi.org/10.1109/CVPR46437.2021.00701 conf/cvpr/2021 db/conf/cvpr/cvpr2021.html#0003YHXS21 Xueting Zhang Debin Meng Henry Gouk Timothy M. Hospedales Shallow Bayesian Meta Learning for Real-World Few-Shot Recognition. 631-640 2021 ICCV https://doi.org/10.1109/ICCV48922.2021.00069 conf/iccv/2021 db/conf/iccv/iccv2021.html#ZhangMGH21 Boyan Gao Henry Gouk Timothy M. Hospedales Searching for Robustness: Loss Learning for Noisy Classification Tasks. 6650-6659 2021 ICCV https://doi.org/10.1109/ICCV48922.2021.00660 conf/iccv/2021 db/conf/iccv/iccv2021.html#GaoGH21 Pan Li Da Li 0001 Wei Li 0132 Shaogang Gong Yanwei Fu 0001 Timothy M. Hospedales A Simple Feature Augmentation for Domain Generalization. 8866-8875 2021 ICCV https://doi.org/10.1109/ICCV48922.2021.00876 conf/iccv/2021 db/conf/iccv/iccv2021.html#LiLLGFH21 Carl Allen Ivana Balazevic Timothy M. Hospedales Interpreting Knowledge Graph Relation Representation from Word Embeddings. 2021 ICLR https://openreview.net/forum?id=gLWj29369lW conf/iclr/2021 db/conf/iclr/iclr2021.html#AllenBH21 Henry Gouk Timothy M. Hospedales Massimiliano Pontil Distance-Based Regularisation of Deep Networks for Fine-Tuning. 2021 ICLR https://openreview.net/forum?id=IFqrg1p5Bc conf/iclr/2021 db/conf/iclr/iclr2021.html#GoukHP21 Panagiotis Eustratiadis Henry Gouk Da Li 0001 Timothy M. Hospedales Weight-covariance alignment for adversarially robust neural networks. 3047-3056 2021 ICML http://proceedings.mlr.press/v139/eustratiadis21a.html conf/icml/2021 db/conf/icml/icml2021.html#EustratiadisGLH21 Adrian El Baz Ihsan Ullah Edesio Alcobaça André C. P. L. F. de Carvalho Hong Chen 0011 Fabio Ferreira Henry Gouk Chaoyu Guan Isabelle Guyon Timothy M. Hospedales Shell Hu Mike Huisman Frank Hutter Zhengying Liu Felix Mohr Ekrem Öztürk Jan N. van Rijn Haozhe Sun Xin Wang 0019 Wenwu Zhu 0001 Lessons learned from the NeurIPS 2021 MetaDL challenge: Backbone fine-tuning without episodic meta-learning dominates for few-shot learning image classification. 80-96 2021 NeurIPS (Competition and Demos) https://proceedings.mlr.press/v176/el-baz22a.html conf/nips/2021demo db/conf/nips/demo2021x.html#BazUACCFGGGHHHH21 Ondrej Bohdal Yongxin Yang Timothy M. Hospedales EvoGrad: Efficient Gradient-Based Meta-Learning and Hyperparameter Optimization. 22234-22246 2021 NeurIPS https://proceedings.neurips.cc/paper/2021/hash/bac49b876d5dfc9cd169c22ef5178ca7-Abstract.html conf/nips/2021 db/conf/nips/neurips2021.html#BohdalYH21 Rui Li 0052 Ondrej Bohdal Rajesh K. Mishra Hyeji Kim Da Li 0001 Nicholas D. Lane Timothy M. Hospedales A Channel Coding Benchmark for Meta-Learning. 2021 NeurIPS Datasets and Benchmarks https://datasets-benchmarks-proceedings.neurips.cc/paper/2021/hash/e96ed478dab8595a7dbda4cbcbee168f-Abstract-round2.html conf/nips/2021db db/conf/nips/neurips2021db.html#LiBMK0LH21

Xueting Zhang Debin Meng Henry Gouk Timothy M. Hospedales Shallow Bayesian Meta Learning for Real-World Few-Shot Recognition. 2021 abs/2101.02833 CoRR https://arxiv.org/abs/2101.02833 db/journals/corr/corr2101.html#abs-2101-02833

Yiying Li Wei Zhou Huaimin Wang Haibo Mi Timothy M. Hospedales FedH2L: Federated Learning with Model and Statistical Heterogeneity. 2021 abs/2101.11296 CoRR https://arxiv.org/abs/2101.11296 db/journals/corr/corr2101.html#abs-2101-11296

Boyan Gao Henry Gouk Timothy M. Hospedales Searching for Robustness: Loss Learning for Noisy Classification Tasks. 2021 abs/2103.00243 CoRR https://arxiv.org/abs/2103.00243 db/journals/corr/corr2103.html#abs-2103-00243

Ayan Kumar Bhunia Pinaki Nath Chowdhury Yongxin Yang Timothy M. Hospedales Tao Xiang 0002 Yi-Zhe Song Vectorization and Rasterization: Self-Supervised Learning for Sketch and Handwriting. 2021 abs/2103.13716 CoRR https://arxiv.org/abs/2103.13716 db/journals/corr/corr2103.html#abs-2103-13716

Ayan Das 0003 Yongxin Yang Timothy M. Hospedales Tao Xiang 0002 Yi-Zhe Song Cloud2Curve: Generation and Vectorization of Parametric Sketches. 2021 abs/2103.15536 CoRR https://arxiv.org/abs/2103.15536 db/journals/corr/corr2103.html#abs-2103-15536

Conghui Hu Yongxin Yang Yunpeng Li 0004 Timothy M. Hospedales Yi-Zhe Song Towards Unsupervised Sketch-based Image Retrieval. 2021 abs/2105.08237 CoRR https://arxiv.org/abs/2105.08237 db/journals/corr/corr2105.html#abs-2105-08237

Ondrej Bohdal Yongxin Yang Timothy M. Hospedales Meta-Calibration: Meta-Learning of Model Calibration Using Differentiable Expected Calibration Error. 2021 abs/2106.09613 CoRR https://arxiv.org/abs/2106.09613 db/journals/corr/corr2106.html#abs-2106-09613

Ondrej Bohdal Yongxin Yang Timothy M. Hospedales EvoGrad: Efficient Gradient-Based Meta-Learning and Hyperparameter Optimization. 2021 abs/2106.10575 CoRR https://arxiv.org/abs/2106.10575 db/journals/corr/corr2106.html#abs-2106-10575

Rui Li 0052 Ondrej Bohdal Rajesh K. Mishra Hyeji Kim Da Li 0001 Nicholas D. Lane Timothy M. Hospedales A Channel Coding Benchmark for Meta-Learning. 2021 abs/2107.07579 CoRR https://arxiv.org/abs/2107.07579 db/journals/corr/corr2107.html#abs-2107-07579

Miguel Jaques Martin Asenov Michael Burke Timothy M. Hospedales Vision-based system identification and 3D keypoint discovery using dynamics constraints. 2021 abs/2109.05928 CoRR https://arxiv.org/abs/2109.05928 db/journals/corr/corr2109.html#abs-2109-05928

Haebeom Lee Hayeon Lee Jaewoong Shin Eunho Yang Timothy M. Hospedales Sung Ju Hwang Online Hyperparameter Meta-Learning with Hypergradient Distillation. 2021 abs/2110.02508 CoRR https://arxiv.org/abs/2110.02508 db/journals/corr/corr2110.html#abs-2110-02508

Linus Ericsson Henry Gouk Chen Change Loy Timothy M. Hospedales Self-Supervised Representation Learning: Introduction, Advances and Challenges. 2021 abs/2110.09327 CoRR https://arxiv.org/abs/2110.09327 db/journals/corr/corr2110.html#abs-2110-09327

Adrian Bulat Jean Kossaifi Sourav Bhattacharya Yannis Panagakis Timothy M. Hospedales Georgios Tzimiropoulos Nicholas D. Lane Maja Pantic Defensive Tensorization. 2021 abs/2110.13859 CoRR https://arxiv.org/abs/2110.13859 db/journals/corr/corr2110.html#abs-2110-13859

Minyoung Kim 0001 Timothy M. Hospedales Gaussian Process Meta Few-shot Classifier Learning via Linear Discriminant Laplace Approximation. 2021 abs/2111.05392 CoRR https://arxiv.org/abs/2111.05392 db/journals/corr/corr2111.html#abs-2111-05392

Linus Ericsson Henry Gouk Timothy M. Hospedales Why Do Self-Supervised Models Transfer? Investigating the Impact of Invariance on Downstream Tasks. 2021 abs/2111.11398 CoRR https://arxiv.org/abs/2111.11398 db/journals/corr/corr2111.html#abs-2111-11398

Ling Shao 0001 Hubert P. H. Shum Timothy M. Hospedales Editorial: Special Issue on Machine Vision with Deep Learning. 771-772 2020 128 Int. J. Comput. Vis. 4 https://doi.org/10.1007/s11263-020-01317-y db/journals/ijcv/ijcv128.html#ShaoSH20

Feng Liu 0036 Tao Xiang 0002 Timothy M. Hospedales Wankou Yang Changyin Sun 0001 Inverse Visual Question Answering: A New Benchmark and VQA Diagnosis Tool. 460-474 2020 42 IEEE Trans. Pattern Anal. Mach. Intell. 2 https://doi.org/10.1109/TPAMI.2018.2880185 https://www.wikidata.org/entity/Q93004599 db/journals/pami/pami42.html#LiuXHYS20

Zhong Ji Biying Cui Huihui Li Yu-Gang Jiang 0001 Tao Xiang 0002 Timothy M. Hospedales Yanwei Fu 0001 Deep Ranking for Image Zero-Shot Multi-Label Classification. 6549-6560 2020 29 IEEE Trans. Image Process. https://doi.org/10.1109/TIP.2020.2991527 https://www.wikidata.org/entity/Q94677916 db/journals/tip/tip29.html#JiCLJXHF20

Conghui Hu Da Li 0001 Yongxin Yang Timothy M. Hospedales Yi-Zhe Song Sketch-a-Segmenter: Sketch-Based Photo Segmenter Generation. 9470-9481 2020 29 IEEE Trans. Image Process. https://doi.org/10.1109/TIP.2020.3028292 https://www.wikidata.org/entity/Q100481978 db/journals/tip/tip29.html#HuLYHS20

Ayan Kumar Bhunia Ayan Das 0003 Umar Riaz Muhammad Yongxin Yang Timothy M. Hospedales Tao Xiang 0002 Yulia Gryaditskaya Yi-Zhe Song Pixelor: a competitive sketching AI agent. so you think you can sketch? 166:1-166:15 2020 39 ACM Trans. Graph. 6 https://doi.org/10.1145/3414685.3417840 https://www.wikidata.org/entity/Q125703239 db/journals/tog/tog39.html#BhuniaDMYHXGS20

Yu Zheng 0032 Bowei Chen 0001 Timothy M. Hospedales Yongxin Yang Index Tracking with Cardinality Constraints: A Stochastic Neural Networks Approach. 1242-1249 2020 AAAI https://doi.org/10.1609/aaai.v34i01.5478 conf/aaai/2020 db/conf/aaai/aaai2020.html#ZhengCHY20 Kaiyang Zhou Yongxin Yang Timothy M. Hospedales Tao Xiang 0002 Deep Domain-Adversarial Image Generation for Domain Generalisation. 13025-13032 2020 AAAI https://doi.org/10.1609/aaai.v34i07.7003 conf/aaai/2020 db/conf/aaai/aaai2020.html#ZhouYHX20 Shreyank N. Gowda Panagiotis Eustratiadis Timothy M. Hospedales Laura Sevilla-Lara ALBA: Reinforcement Learning for Video Object Segmentation. 2020 BMVC https://www.bmvc2020-conference.com/assets/papers/0226.pdf conf/bmvc/2020 db/conf/bmvc/bmvc2020.html#GowdaEHS20 Mustafa Taha Koçyigit Laura Sevilla-Lara Timothy M. Hospedales Hakan Bilen Unsupervised Batch Normalization. 3994-3999 2020 CVPR Workshops https://openaccess.thecvf.com/content_CVPRW_2020/html/w54/Kocyigit_Unsupervised_Batch_Normalization_CVPRW_2020_paper.html https://doi.org/10.1109/CVPRW50498.2020.00467 conf/cvpr/2020w db/conf/cvpr/cvprw2020.html#KocyigitSHB20 Jean Kossaifi Antoine Toisoul Adrian Bulat Yannis Panagakis Timothy M. Hospedales Maja Pantic Factorized Higher-Order CNNs With an Application to Spatio-Temporal Emotion Estimation. 6059-6068 2020 CVPR https://openaccess.thecvf.com/content_CVPR_2020/html/Kossaifi_Factorized_Higher-Order_CNNs_With_an_Application_to_Spatio-Temporal_Emotion_Estimation_CVPR_2020_paper.html https://doi.org/10.1109/CVPR42600.2020.00610 conf/cvpr/2020 db/conf/cvpr/cvpr2020.html#KossaifiTBPHP20 Ayan Kumar Bhunia Yongxin Yang Timothy M. Hospedales Tao Xiang 0002 Yi-Zhe Song Sketch Less for More: On-the-Fly Fine-Grained Sketch-Based Image Retrieval. 9776-9785 2020 CVPR https://openaccess.thecvf.com/content_CVPR_2020/html/Bhunia_Sketch_Less_for_More_On-the-Fly_Fine-Grained_Sketch-Based_Image_Retrieval_CVPR_2020_paper.html https://doi.org/10.1109/CVPR42600.2020.00980 conf/cvpr/2020 db/conf/cvpr/cvpr2020.html#BhuniaYHXS20 Kaiyue Pang Yongxin Yang Timothy M. Hospedales Tao Xiang 0002 Yi-Zhe Song Solving Mixed-Modal Jigsaw Puzzle for Fine-Grained Sketch-Based Image Retrieval. 10344-10352 2020 CVPR https://openaccess.thecvf.com/content_CVPR_2020/html/Pang_Solving_Mixed-Modal_Jigsaw_Puzzle_for_Fine-Grained_Sketch-Based_Image_Retrieval_CVPR_2020_paper.html https://doi.org/10.1109/CVPR42600.2020.01036 conf/cvpr/2020 db/conf/cvpr/cvpr2020.html#PangYHXS20 Juan-Manuel Pérez-Rúa Xiatian Zhu Timothy M. Hospedales Tao Xiang 0002 Incremental Few-Shot Object Detection. 13843-13852 2020 CVPR https://openaccess.thecvf.com/content_CVPR_2020/html/Perez-Rua_Incremental_Few-Shot_Object_Detection_CVPR_2020_paper.html https://doi.org/10.1109/CVPR42600.2020.01386 conf/cvpr/2020 db/conf/cvpr/cvpr2020.html#Perez-RuaZHX20 Xiao Gong Guosheng Hu Timothy M. Hospedales Yongxin Yang Adversarial Robustness of Open-Set Recognition: Face Recognition and Person Re-identification. 135-151 2020 ECCV Workshops (1) https://doi.org/10.1007/978-3-030-66415-2_9 conf/eccv/2020-w1 db/conf/eccv/eccv2020-w1.html#GongHHY20 Da Li 0001 Timothy M. Hospedales Online Meta-learning for Multi-source and Semi-supervised Domain Adaptation. 382-403 2020 ECCV (16) https://doi.org/10.1007/978-3-030-58517-4_23 conf/eccv/2020-16 db/conf/eccv/eccv2020-16.html#LiH20 Kaiyang Zhou Yongxin Yang Timothy M. Hospedales Tao Xiang 0002 Learning to Generate Novel Domains for Domain Generalization. 561-578 2020 ECCV (16) https://doi.org/10.1007/978-3-030-58517-4_33 conf/eccv/2020-16 db/conf/eccv/eccv2020-16.html#ZhouYHX20 Yonggang Li Guosheng Hu Yongtao Wang Timothy M. Hospedales Neil Martin Robertson Yongxin Yang Differentiable Automatic Data Augmentation. 580-595 2020 ECCV (22) https://doi.org/10.1007/978-3-030-58542-6_35 conf/eccv/2020-22 db/conf/eccv/eccv2020-22.html#LiHWHRY20 Da Li 0001 Yongxin Yang Yi-Zhe Song Timothy M. Hospedales Sequential Learning for Domain Generalization. 603-619 2020 ECCV Workshops (1) https://doi.org/10.1007/978-3-030-66415-2_39 conf/eccv/2020-w1 db/conf/eccv/eccv2020-w1.html#LiYSH20 Ayan Das 0003 Yongxin Yang Timothy M. Hospedales Tao Xiang 0002 Yi-Zhe Song BézierSketch: A Generative Model for Scalable Vector Sketches. 632-647 2020 ECCV (26) https://doi.org/10.1007/978-3-030-58574-7_38 conf/eccv/2020-26 db/conf/eccv/eccv2020-26.html#0003YHXS20 Yu Zheng 0032 Yunpeng Li 0004 Qiuhua Xu Timothy M. Hospedales Yongxin Yang Index tracking with differentiate asset selection. 12:1-12:8 2020 ICAIF https://doi.org/10.1145/3383455.3422516 conf/icaif/2020 db/conf/icaif/icaif2020.html#ZhengLXHY20 Yu Zheng 0032 Timothy M. Hospedales Yongxin Yang Diversity and Sparsity: A New Perspective on Index Tracking. 1768-1772 2020 ICASSP https://doi.org/10.1109/ICASSP40776.2020.9053677 conf/icassp/2020 db/conf/icassp/icassp2020.html#ZhengHY20 Boyan Gao Yongxin Yang Henry Gouk Timothy M. Hospedales Deep Clustering for Domain Adaptation. 4247-4251 2020 ICASSP https://doi.org/10.1109/ICASSP40776.2020.9053622 conf/icassp/2020 db/conf/icassp/icassp2020.html#GaoYGH20 Boyan Gao Yongxin Yang Henry Gouk Timothy M. Hospedales Deep Clusteringwith Concrete K-Means. 4252-4256 2020 ICASSP https://doi.org/10.1109/ICASSP40776.2020.9053265 conf/icassp/2020 db/conf/icassp/icassp2020.html#GaoYGH20a Miguel Jaques Michael Burke Timothy M. Hospedales Physics-as-Inverse-Graphics: Unsupervised Physical Parameter Estimation from Video. 2020 ICLR https://openreview.net/forum?id=BJeKwTNFvB conf/iclr/2020 db/conf/iclr/iclr2020.html#JaquesBH20 Marija Jegorova Antti Ilari Karjalainen Jose Vazquez Timothy M. Hospedales Full-Scale Continuous Synthetic Sonar Data Generation with Markov Conditional Generative Adversarial Networks<sup>*</sup>. 3168-3174 2020 ICRA https://doi.org/10.1109/ICRA40945.2020.9197353 conf/icra/2020 db/conf/icra/icra2020.html#JegorovaKVH20 Xueting Zhang Yuting Qiang Flood Sung Yongxin Yang Timothy M. Hospedales RelationNet2: Deep Comparison Network for Few-Shot Learning. 1-8 2020 IJCNN https://doi.org/10.1109/IJCNN48605.2020.9206909 conf/ijcnn/2020 db/conf/ijcnn/ijcnn2020.html#ZhangQSYH20 Marija Jegorova Joshua Smith 0002 Michael N. Mistry Timothy M. Hospedales Adversarial Generation of Informative Trajectories for Dynamics System Identification. 7109-7115 2020 IROS https://doi.org/10.1109/IROS45743.2020.9340801 conf/iros/2020 db/conf/iros/iros2020.html#Jegorova0MH20 Wei Zhou Yiying Li Yongxin Yang Huaimin Wang Timothy M. Hospedales Online Meta-Critic Learning for Off-Policy Actor-Critic Methods. 2020 NeurIPS https://proceedings.neurips.cc/paper/2020/hash/cceff8faa855336ad53b3325914caea2-Abstract.html conf/nips/2020 db/conf/nips/neurips2020.html#ZhouLYWH20

Peng Xu 0005 Timothy M. Hospedales Qiyue Yin Yi-Zhe Song Tao Xiang 0002 Liang Wang 0001 Deep Learning for Free-Hand Sketch: A Survey. 2020 abs/2001.02600 CoRR http://arxiv.org/abs/2001.02600 db/journals/corr/corr2001.html#abs-2001-02600

Henry Gouk Timothy M. Hospedales Massimiliano Pontil Distance-Based Regularisation of Deep Networks for Fine-Tuning. 2020 abs/2002.08253 CoRR https://arxiv.org/abs/2002.08253 db/journals/corr/corr2002.html#abs-2002-08253

Peng Xu 0005 Kun Liu 0016 Tao Xiang 0002 Timothy M. Hospedales Zhanyu Ma Jun Guo 0002 Yi-Zhe Song Fine-Grained Instance-Level Sketch-Based Video Retrieval. 2020 abs/2002.09461 CoRR https://arxiv.org/abs/2002.09461 db/journals/corr/corr2002.html#abs-2002-09461

Ayan Kumar Bhunia Yongxin Yang Timothy M. Hospedales Tao Xiang 0002 Yi-Zhe Song Sketch Less for More: On-the-Fly Fine-Grained Sketch Based Image Retrieval. 2020 abs/2002.10310 CoRR https://arxiv.org/abs/2002.10310 db/journals/corr/corr2002.html#abs-2002-10310

Marija Jegorova Antti Ilari Karjalainen Jose Vazquez Timothy M. Hospedales Unlimited Resolution Image Generation with R2D2-GANs. 2020 abs/2003.01063 CoRR https://arxiv.org/abs/2003.01063 db/journals/corr/corr2003.html#abs-2003-01063

Marija Jegorova Joshua Smith 0002 Michael N. Mistry Timothy M. Hospedales Adversarial Generation of Informative Trajectories for Dynamics System Identification. 2020 abs/2003.01190 CoRR https://arxiv.org/abs/2003.01190 db/journals/corr/corr2003.html#abs-2003-01190

Yonggang Li Guosheng Hu Yongtao Wang Timothy M. Hospedales Neil Martin Robertson Yongxing Yang DADA: Differentiable Automatic Data Augmentation. 2020 abs/2003.03780 CoRR https://arxiv.org/abs/2003.03780 db/journals/corr/corr2003.html#abs-2003-03780

Juan-Manuel Pérez-Rúa Xiatian Zhu Timothy M. Hospedales Tao Xiang 0002 Incremental Few-Shot Object Detection. 2020 abs/2003.04668 CoRR https://arxiv.org/abs/2003.04668 db/journals/corr/corr2003.html#abs-2003-04668

Wei Zhou Yiying Li Yongxin Yang Huaimin Wang Timothy M. Hospedales Online Meta-Critic Learning for Off-Policy Actor-Critic Methods. 2020 abs/2003.05334 CoRR https://arxiv.org/abs/2003.05334 db/journals/corr/corr2003.html#abs-2003-05334

Kaiyang Zhou Yongxin Yang Timothy M. Hospedales Tao Xiang 0002 Deep Domain-Adversarial Image Generation for Domain Generalisation. 2020 abs/2003.06054 CoRR https://arxiv.org/abs/2003.06054 db/journals/corr/corr2003.html#abs-2003-06054

Da Li 0001 Yongxin Yang Yi-Zhe Song Timothy M. Hospedales Sequential Learning for Domain Generalization. 2020 abs/2004.01377 CoRR https://arxiv.org/abs/2004.01377 db/journals/corr/corr2004.html#abs-2004-01377

Da Li 0001 Timothy M. Hospedales Online Meta-Learning for Multi-Source and Semi-Supervised Domain Adaptation. 2020 abs/2004.04398 CoRR https://arxiv.org/abs/2004.04398 db/journals/corr/corr2004.html#abs-2004-04398

Timothy M. Hospedales Antreas Antoniou Paul Micaelli Amos J. Storkey Meta-Learning in Neural Networks: A Survey. 2020 abs/2004.05439 CoRR https://arxiv.org/abs/2004.05439 db/journals/corr/corr2004.html#abs-2004-05439

Xinwang Liu 0002 En Zhu Jiyuan Liu 0003 Timothy M. Hospedales Yang Wang 0023 Meng Wang 0001 SimpleMKKM: Simple Multiple Kernel K-means. 2020 abs/2005.04975 CoRR https://arxiv.org/abs/2005.04975 db/journals/corr/corr2005.html#abs-2005-04975

Stéphane Doncieux Nicolas Bredèche Leni K. Le Goff Benoît Girard 0001 Alexandre Coninx Olivier Sigaud Mehdi Khamassi Natalia Díaz Rodríguez David Filliat Timothy M. Hospedales A. E. Eiben Richard J. Duro DREAM Architecture: a Developmental Approach to Open-Ended Learning in Robotics. 2020 abs/2005.06223 CoRR https://arxiv.org/abs/2005.06223 db/journals/corr/corr2005.html#abs-2005-06223

Shreyank N. Gowda Panagiotis Eustratiadis Timothy M. Hospedales Laura Sevilla-Lara ALBA : Reinforcement Learning for Video Object Segmentation. 2020 abs/2005.13039 CoRR https://arxiv.org/abs/2005.13039 db/journals/corr/corr2005.html#abs-2005-13039

Lucas Deecke Timothy M. Hospedales Hakan Bilen Latent Domain Learning with Dynamic Residual Adapters. 2020 abs/2006.00996 CoRR https://arxiv.org/abs/2006.00996 db/journals/corr/corr2006.html#abs-2006-00996

Miguel Jaques Michael Burke Timothy M. Hospedales NewtonianVAE: Proportional Control and Goal Identification from Pixels via Physical Latent Spaces. 2020 abs/2006.01959 CoRR https://arxiv.org/abs/2006.01959 db/journals/corr/corr2006.html#abs-2006-01959

Carl Allen Ivana Balazevic Timothy M. Hospedales A Probabilistic Framework for Discriminative and Neuro-Symbolic Semi-Supervised Learning. 2020 abs/2006.05896 CoRR https://arxiv.org/abs/2006.05896 db/journals/corr/corr2006.html#abs-2006-05896

Ondrej Bohdal Yongxin Yang Timothy M. Hospedales Flexible Dataset Distillation: Learn Labels Instead of Images. 2020 abs/2006.08572 CoRR https://arxiv.org/abs/2006.08572 db/journals/corr/corr2006.html#abs-2006-08572

Linus Ericsson Henry Gouk Timothy M. Hospedales Don't Wait, Just Weight: Improving Unsupervised Representations by Learning Goal-Driven Instance Weights. 2020 abs/2006.12360 CoRR https://arxiv.org/abs/2006.12360 db/journals/corr/corr2006.html#abs-2006-12360

Ayan Das 0003 Yongxin Yang Timothy M. Hospedales Tao Xiang 0002 Yi-Zhe Song BézierSketch: A generative model for scalable vector sketches. 2020 abs/2007.02190 CoRR https://arxiv.org/abs/2007.02190 db/journals/corr/corr2007.html#abs-2007-02190

Ivana Balazevic Carl Allen Timothy M. Hospedales Learning the Prediction Distribution for Semi-Supervised Learning with Normalising Flows. 2020 abs/2007.02745 CoRR https://arxiv.org/abs/2007.02745 db/journals/corr/corr2007.html#abs-2007-02745

Kaiyang Zhou Yongxin Yang Timothy M. Hospedales Tao Xiang 0002 Learning to Generate Novel Domains for Domain Generalization. 2020 abs/2007.03304 CoRR https://arxiv.org/abs/2007.03304 db/journals/corr/corr2007.html#abs-2007-03304

Peng Xu 0005 Yongye Huang Tongtong Yuan Tao Xiang 0002 Timothy M. Hospedales Yi-Zhe Song Liang Wang 0001 On Learning Semantic Representations for Million-Scale Free-Hand Sketches. 2020 abs/2007.04101 CoRR https://arxiv.org/abs/2007.04101 db/journals/corr/corr2007.html#abs-2007-04101

Panagiotis Eustratiadis Henry Gouk Da Li 0001 Timothy M. Hospedales A Stochastic Neural Network for Attack-Agnostic Adversarial Robustness. 2020 abs/2010.08852 CoRR https://arxiv.org/abs/2010.08852 db/journals/corr/corr2010.html#abs-2010-08852

Linus Ericsson Henry Gouk Timothy M. Hospedales How Well Do Self-Supervised Models Transfer? 2020 abs/2011.13377 CoRR https://arxiv.org/abs/2011.13377 db/journals/corr/corr2011.html#abs-2011-13377

Jiechao Guan Zhiwu Lu 0001 Tao Xiang 0002 Timothy M. Hospedales Margin-Based Transfer Bounds for Meta Learning with Deep Feature Embedding. 2020 abs/2012.01602 CoRR https://arxiv.org/abs/2012.01602 db/journals/corr/corr2012.html#abs-2012-01602

Chenyang Zhao 0007 Timothy M. Hospedales Robust Domain Randomised Reinforcement Learning through Peer-to-Peer Distillation. 2020 abs/2012.04839 CoRR https://arxiv.org/abs/2012.04839 db/journals/corr/corr2012.html#abs-2012-04839

Yuting Qiang Yongxin Yang Xueting Zhang Yanwen Guo 0001 Timothy M. Hospedales Tensor Composition Net for Visual Relationship Prediction. 2020 abs/2012.05473 CoRR https://arxiv.org/abs/2012.05473 db/journals/corr/corr2012.html#abs-2012-05473

Ke Li 0004 Kaiyue Pang Yi-Zhe Song Tao Xiang 0002 Timothy M. Hospedales Honggang Zhang 0002 Toward Deep Universal Sketch Perceptual Grouper. 3219-3231 2019 28 IEEE Trans. Image Process. 7 https://doi.org/10.1109/TIP.2019.2895155 https://www.wikidata.org/entity/Q91290239 db/journals/tip/tip28.html#LiPSXHZ19

Xiaobin Chang Yongxin Yang Tao Xiang 0002 Timothy M. Hospedales Disjoint Label Space Transfer Learning with Common Factorised Space. 3288-3295 2019 AAAI https://doi.org/10.1609/aaai.v33i01.33013288 conf/aaai/2019 db/conf/aaai/aaai2019.html#ChangYXH19 Jieru Jia Qiuqi Ruan Timothy M. Hospedales Frustratingly Easy Person Re-Identification: Generalizing Person Re-ID in Practice. 117 2019 BMVC https://bmvc2019.org/wp-content/uploads/papers/0702-paper.pdf conf/bmvc/2019 db/conf/bmvc/bmvc2019.html#JiaRH19 Kaiyue Pang Ke Li 0004 Yongxin Yang Honggang Zhang 0002 Timothy M. Hospedales Tao Xiang 0002 Yi-Zhe Song Generalising Fine-Grained Sketch-Based Image Retrieval. 677-686 2019 CVPR http://openaccess.thecvf.com/content_CVPR_2019/html/Pang_Generalising_Fine-Grained_Sketch-Based_Image_Retrieval_CVPR_2019_paper.html https://doi.org/10.1109/CVPR.2019.00077 conf/cvpr/2019 db/conf/cvpr/cvpr2019.html#Pang0YZHXS19 Jifei Song Yongxin Yang Yi-Zhe Song Tao Xiang 0002 Timothy M. Hospedales Generalizable Person Re-Identification by Domain-Invariant Mapping Network. 719-728 2019 CVPR http://openaccess.thecvf.com/content_CVPR_2019/html/Song_Generalizable_Person_Re-Identification_by_Domain-Invariant_Mapping_Network_CVPR_2019_paper.html https://doi.org/10.1109/CVPR.2019.00081 conf/cvpr/2019 db/conf/cvpr/cvpr2019.html#SongYSXH19 Ivana Balazevic Carl Allen Timothy M. Hospedales TuckER: Tensor Factorization for Knowledge Graph Completion. 5184-5193 2019 EMNLP/IJCNLP (1) https://doi.org/10.18653/v1/D19-1522 https://www.wikidata.org/entity/Q101140821 conf/emnlp/2019-1 db/conf/emnlp/emnlp2019-1.html#BalazevicAH19 Ivana Balazevic Carl Allen Timothy M. Hospedales Hypernetwork Knowledge Graph Embeddings. 553-565 2019 ICANN (Workshop) https://doi.org/10.1007/978-3-030-30493-5_52 conf/icann/2019w db/conf/icann/icann2019w.html#BalazevicAH19 Umar Riaz Muhammad Yongxin Yang Timothy M. Hospedales Tao Xiang 0002 Yi-Zhe Song Goal-Driven Sequential Data Abstraction. 71-80 2019 ICCV https://doi.org/10.1109/ICCV.2019.00016 conf/iccv/2019 db/conf/iccv/iccv2019.html#MuhammadYHXS19 Tianyuan Yu Da Li 0001 Yongxin Yang Timothy M. Hospedales Tao Xiang 0002 Robust Person Re-Identification by Modelling Feature Uncertainty. 552-561 2019 ICCV https://doi.org/10.1109/ICCV.2019.00064 conf/iccv/2019 db/conf/iccv/iccv2019.html#YuLYHX19 Da Li 0001 Jianshu Zhang 0001 Yongxin Yang Cong Liu 0006 Yi-Zhe Song Timothy M. Hospedales Episodic Training for Domain Generalization. 1446-1455 2019 ICCV https://doi.org/10.1109/ICCV.2019.00153 conf/iccv/2019 db/conf/iccv/iccv2019.html#LiZYLSH19 Gabriella Pizzuto Timothy M. Hospedales Olga Capirci Angelo Cangelosi Modelling the Single Word to Multi-Word Transition Using Matrix Completion. 284-289 2019 ICDL-EPIROB https://doi.org/10.1109/DEVLRN.2019.8850708 conf/icdl-epirob/2019 db/conf/icdl-epirob/icdl-epirob2019.html#PizzutoHCC19 Marija Jegorova Stéphane Doncieux Timothy M. Hospedales Behavioral Repertoire via Generative Adversarial Policy Networks. 320-326 2019 ICDL-EPIROB https://doi.org/10.1109/DEVLRN.2019.8850727 conf/icdl-epirob/2019 db/conf/icdl-epirob/icdl-epirob2019.html#JegorovaDH19 Carl Allen Timothy M. Hospedales Analogies Explained: Towards Understanding Word Embeddings. 223-231 2019 ICML http://proceedings.mlr.press/v97/allen19a.html conf/icml/2019 db/conf/icml/icml2019.html#AllenH19 Yiying Li Yongxin Yang Wei Zhou Timothy M. Hospedales Feature-Critic Networks for Heterogeneous Domain Generalization. 3915-3924 2019 ICML http://proceedings.mlr.press/v97/li19l.html conf/icml/2019 db/conf/icml/icml2019.html#LiYZH19 Christian Rauch 0002 Vladimir Ivan Timothy M. Hospedales Jamie Shotton Maurice F. Fallon Learning-driven Coarse-to-Fine Articulated Robot Tracking. 6604-6610 2019 ICRA https://doi.org/10.1109/ICRA.2019.8794359 conf/icra/2019 db/conf/icra/icra2019.html#RauchIHSF19 Ivana Balazevic Carl Allen Timothy M. Hospedales Multi-relational Poincaré Graph Embeddings. 4465-4475 2019 NeurIPS https://proceedings.neurips.cc/paper/2019/hash/f8b932c70d0b2e6bf071729a4fa68dfc-Abstract.html http://papers.nips.cc/paper/8696-multi-relational-poincare-graph-embeddings conf/nips/2019 db/conf/nips/nips2019.html#BalazevicAH19 Carl Allen Ivana Balazevic Timothy M. Hospedales What the Vec? Towards Probabilistically Grounded Embeddings. 7465-7475 2019 NeurIPS https://proceedings.neurips.cc/paper/2019/hash/23755432da68528f115c9633c0d7834f-Abstract.html http://papers.nips.cc/paper/8965-what-the-vec-towards-probabilistically-grounded-embeddings conf/nips/2019 db/conf/nips/nips2019.html#AllenBH19

Ivana Balazevic Carl Allen Timothy M. Hospedales TuckER: Tensor Factorization for Knowledge Graph Completion. 2019 abs/1901.09590 CoRR http://arxiv.org/abs/1901.09590 db/journals/corr/corr1901.html#abs-1901-09590

Carl Allen Timothy M. Hospedales Analogies Explained: Towards Understanding Word Embeddings. 2019 abs/1901.09813 CoRR http://arxiv.org/abs/1901.09813 db/journals/corr/corr1901.html#abs-1901-09813

Yiying Li Yongxin Yang Wei Zhou Timothy M. Hospedales Feature-Critic Networks for Heterogeneous Domain Generalization. 2019 abs/1901.11448 CoRR http://arxiv.org/abs/1901.11448 db/journals/corr/corr1901.html#abs-1901-11448

Da Li 0001 Jianshu Zhang 0001 Yongxin Yang Cong Liu 0006 Yi-Zhe Song Timothy M. Hospedales Episodic Training for Domain Generalization. 2019 abs/1902.00113 CoRR http://arxiv.org/abs/1902.00113 db/journals/corr/corr1902.html#abs-1902-00113

Chenyang Zhao 0007 Olivier Sigaud Freek Stulp Timothy M. Hospedales Investigating Generalisation in Continuous Deep Reinforcement Learning. 2019 abs/1902.07015 CoRR http://arxiv.org/abs/1902.07015 db/journals/corr/corr1902.html#abs-1902-07015

Jieru Jia Qiuqi Ruan Timothy M. Hospedales Frustratingly Easy Person Re-Identification: Generalizing Person Re-ID in Practice. 2019 abs/1905.03422 CoRR http://arxiv.org/abs/1905.03422 db/journals/corr/corr1905.html#abs-1905-03422

Ivana Balazevic Carl Allen Timothy M. Hospedales Multi-relational Poincaré Graph Embeddings. 2019 abs/1905.09791 CoRR http://arxiv.org/abs/1905.09791 db/journals/corr/corr1905.html#abs-1905-09791

Miguel Jaques Michael Burke Timothy M. Hospedales Physics-as-Inverse-Graphics: Joint Unsupervised Learning of Objects and Physics from Video. 2019 abs/1905.11169 CoRR http://arxiv.org/abs/1905.11169 db/journals/corr/corr1905.html#abs-1905-11169

Deyan Petrov Timothy M. Hospedales Measuring the Transferability of Adversarial Examples. 2019 abs/1907.06291 CoRR http://arxiv.org/abs/1907.06291 db/journals/corr/corr1907.html#abs-1907-06291

Umar Riaz Muhammad Yongxin Yang Timothy M. Hospedales Tao Xiang 0002 Yi-Zhe Song Goal-Driven Sequential Data Abstraction. 2019 abs/1907.12336 CoRR http://arxiv.org/abs/1907.12336 db/journals/corr/corr1907.html#abs-1907-12336

Xun Xu 0002 Shaogang Gong Timothy M. Hospedales Zero-Shot Crowd Behavior Recognition. 2019 abs/1908.05877 CoRR http://arxiv.org/abs/1908.05877 db/journals/corr/corr1908.html#abs-1908-05877

Carl Allen Ivana Balazevic Timothy M. Hospedales On Understanding Knowledge Graph Representation. 2019 abs/1909.11611 CoRR http://arxiv.org/abs/1909.11611 db/journals/corr/corr1909.html#abs-1909-11611

Boyan Gao Yongxin Yang Henry Gouk Timothy M. Hospedales Deep clustering with concrete k-means. 2019 abs/1910.08031 CoRR http://arxiv.org/abs/1910.08031 db/journals/corr/corr1910.html#abs-1910-08031

Zhanyu Ma Haibin Ling Yi-Zhe Song Timothy M. Hospedales Wei Jia 0001 Yuxin Peng 0001 Aili Han IEEE Access Special Section Editorial: Recent Advantages of Computer Vision. 31481-31485 2018 6 IEEE Access https://doi.org/10.1109/ACCESS.2018.2844480 db/journals/access/access6.html#MaLSHJPH18

Stéphane Doncieux David Filliat Natalia Díaz Rodríguez Timothy M. Hospedales Richard J. Duro Alexandre Coninx Diederik M. Roijers Benoît Girard 0001 Nicolas Perrin 0001 Olivier Sigaud Open-Ended Learning: A Conceptual Framework Based on Representational Redescription. 2018 12 Frontiers Neurorobotics https://doi.org/10.3389/fnbot.2018.00059 https://www.wikidata.org/entity/Q57492104 db/journals/finr/finr12.html#DoncieuxFRHDCRG18 59

Guosheng Hu Xiaojiang Peng Yongxin Yang Timothy M. Hospedales Jakob Verbeek Frankenstein: Learning Deep Face Representations Using Small Data. 293-303 2018 27 IEEE Trans. Image Process. 1 https://doi.org/10.1109/TIP.2017.2756450 https://www.wikidata.org/entity/Q47913875 db/journals/tip/tip27.html#HuPYHV18

Da Li 0001 Yongxin Yang Yi-Zhe Song Timothy M. Hospedales Learning to Generalize: Meta-Learning for Domain Generalization. 2018 AAAI https://doi.org/10.1609/aaai.v32i1.11596 conf/aaai/2018 db/conf/aaai/aaai2018.html#LiYSH18 3490-3497 Jifei Song Kaiyue Pang Yi-Zhe Song Tao Xiang 0002 Timothy M. Hospedales Learning to Sketch With Shortcut Cycle Consistency. 801-810 2018 CVPR http://openaccess.thecvf.com/content_cvpr_2018/html/Song_Learning_to_Sketch_CVPR_2018_paper.html https://doi.org/10.1109/CVPR.2018.00090 https://doi.ieeecomputersociety.org/10.1109/CVPR.2018.00090 conf/cvpr/2018 db/conf/cvpr/cvpr2018.html#SongPSXH18 Flood Sung Yongxin Yang Li Zhang 0040 Tao Xiang 0002 Philip H. S. Torr Timothy M. Hospedales Learning to Compare: Relation Network for Few-Shot Learning. 1199-1208 2018 CVPR http://openaccess.thecvf.com/content_cvpr_2018/html/Sung_Learning_to_Compare_CVPR_2018_paper.html https://doi.org/10.1109/CVPR.2018.00131 https://doi.ieeecomputersociety.org/10.1109/CVPR.2018.00131 conf/cvpr/2018 db/conf/cvpr/cvpr2018.html#SungYZXTH18 Xiaobin Chang Tao Xiang 0002 Timothy M. Hospedales Scalable and Effective Deep CCA via Soft Decorrelation. 1488-1497 2018 CVPR http://openaccess.thecvf.com/content_cvpr_2018/html/Chang_Scalable_and_Effective_CVPR_2018_paper.html https://doi.org/10.1109/CVPR.2018.00161 https://doi.ieeecomputersociety.org/10.1109/CVPR.2018.00161 conf/cvpr/2018 db/conf/cvpr/cvpr2018.html#ChangXH18 Xiaobin Chang Timothy M. Hospedales Tao Xiang 0002 Multi-Level Factorisation Net for Person Re-Identification. 2109-2118 2018 CVPR http://openaccess.thecvf.com/content_cvpr_2018/html/Chang_Multi-Level_Factorisation_Net_CVPR_2018_paper.html https://doi.org/10.1109/CVPR.2018.00225 https://doi.ieeecomputersociety.org/10.1109/CVPR.2018.00225 conf/cvpr/2018 db/conf/cvpr/cvpr2018.html#ChangHX18 Ying Zhang 0021 Tao Xiang 0002 Timothy M. Hospedales Huchuan Lu Deep Mutual Learning. 4320-4328 2018 CVPR http://openaccess.thecvf.com/content_cvpr_2018/html/Zhang_Deep_Mutual_Learning_CVPR_2018_paper.html https://doi.org/10.1109/CVPR.2018.00454 https://doi.ieeecomputersociety.org/10.1109/CVPR.2018.00454 conf/cvpr/2018 db/conf/cvpr/cvpr2018.html#ZhangXHL18 Umar Riaz Muhammad Yongxin Yang Yi-Zhe Song Tao Xiang 0002 Timothy M. Hospedales Learning Deep Sketch Abstraction. 8014-8023 2018 CVPR http://openaccess.thecvf.com/content_cvpr_2018/html/Muhammad_Learning_Deep_Sketch_CVPR_2018_paper.html https://doi.org/10.1109/CVPR.2018.00836 https://doi.ieeecomputersociety.org/10.1109/CVPR.2018.00836 conf/cvpr/2018 db/conf/cvpr/cvpr2018.html#MuhammadYSXH18 Peng Xu 0005 Yongye Huang Tongtong Yuan Kaiyue Pang Yi-Zhe Song Tao Xiang 0002 Timothy M. Hospedales Zhanyu Ma Jun Guo 0002 SketchMate: Deep Hashing for Million-Scale Human Sketch Retrieval. 8090-8098 2018 CVPR http://openaccess.thecvf.com/content_cvpr_2018/html/Xu_SketchMate_Deep_Hashing_CVPR_2018_paper.html https://doi.org/10.1109/CVPR.2018.00844 https://doi.ieeecomputersociety.org/10.1109/CVPR.2018.00844 conf/cvpr/2018 db/conf/cvpr/cvpr2018.html#0005HYPSXHM018 Feng Liu 0036 Tao Xiang 0002 Timothy M. Hospedales Wankou Yang Changyin Sun 0001 IVQA: Inverse Visual Question Answering. 8611-8619 2018 CVPR http://openaccess.thecvf.com/content_cvpr_2018/html/Liu_IVQA_Inverse_Visual_CVPR_2018_paper.html https://doi.org/10.1109/CVPR.2018.00898 https://doi.ieeecomputersociety.org/10.1109/CVPR.2018.00898 conf/cvpr/2018 db/conf/cvpr/cvpr2018.html#LiuXHYS18 Conghui Hu Da Li 0001 Yi-Zhe Song Tao Xiang 0002 Timothy M. Hospedales Sketch-a-Classifier: Sketch-Based Photo Classifier Generation. 9136-9144 2018 CVPR http://openaccess.thecvf.com/content_cvpr_2018/html/Hu_Sketch-a-Classifier_Sketch-Based_Photo_CVPR_2018_paper.html https://doi.org/10.1109/CVPR.2018.00952 https://doi.ieeecomputersociety.org/10.1109/CVPR.2018.00952 conf/cvpr/2018 db/conf/cvpr/cvpr2018.html#HuLSXH18 Kaiyue Pang Da Li 0001 Jifei Song Yi-Zhe Song Tao Xiang 0002 Timothy M. Hospedales Deep Factorised Inverse-Sketching. 37-54 2018 ECCV (15) https://doi.org/10.1007/978-3-030-01267-0_3 conf/eccv/2018-15 db/conf/eccv/eccv2018-15.html#PangLSSXH18 Guosheng Hu Li Liu 0004 Yang Yuan Zehao Yu Yang Hua 0001 Zhihong Zhang 0001 Fumin Shen Ling Shao 0001 Timothy M. Hospedales Neil Martin Robertson Yongxin Yang Deep Multi-task Learning to Recognise Subtle Facial Expressions of Mental States. 106-123 2018 ECCV (12) https://doi.org/10.1007/978-3-030-01258-8_7 conf/eccv/2018-12 db/conf/eccv/eccv2018-12.html#HuLYYHZSSHRY18 Ke Li 0004 Kaiyue Pang Jifei Song Yi-Zhe Song Tao Xiang 0002 Timothy M. Hospedales Honggang Zhang 0002 Universal Sketch Perceptual Grouping. 593-609 2018 ECCV (8) https://doi.org/10.1007/978-3-030-01237-3_36 conf/eccv/2018-8 db/conf/eccv/eccv2018-8.html#LiPSSXHZ18 Tanmoy Mukherjee Makoto Yamada Timothy M. Hospedales Learning Unsupervised Word Translations Without Adversaries. 627-632 2018 EMNLP https://doi.org/10.18653/v1/d18-1063 https://aclanthology.org/D18-1063/ conf/emnlp/2018 db/conf/emnlp/emnlp2018.html#MukherjeeYH18 Guosheng Hu Yuxin Hu Kai Yang 0031 Zehao Yu Flood Sung Zhihong Zhang 0001 Fei Xie Jianguo Liu Neil Martin Robertson Timothy M. Hospedales Qiangwei Miemie Deep Stock Representation Learning: From Candlestick Charts to Investment Decisions. 2706-2710 2018 ICASSP https://doi.org/10.1109/ICASSP.2018.8462215 conf/icassp/2018 db/conf/icassp/icassp2018.html#HuHYYSZXLRHM18 Kunkun Pang Mingzhi Dong Yang Wu 0001 Timothy M. Hospedales Dynamic Ensemble Active Learning: A Non-Stationary Bandit with Expert Advice. 2269-2276 2018 ICPR https://doi.org/10.1109/ICPR.2018.8545422 https://doi.ieeecomputersociety.org/10.1109/ICPR.2018.8545422 conf/icpr/2018 db/conf/icpr/icpr2018.html#PangDWH18 Christian Rauch 0002 Timothy M. Hospedales Jamie Shotton Maurice F. Fallon Visual Articulated Tracking in the Presence of Occlusions. 643-650 2018 ICRA https://doi.org/10.1109/ICRA.2018.8462873 conf/icra/2018 db/conf/icra/icra2018.html#RauchHSF18

Feng Liu 0036 Tao Xiang 0002 Timothy M. Hospedales Wankou Yang Changyin Sun 0001 Inverse Visual Question Answering: A New Benchmark and VQA Diagnosis Tool. 2018 abs/1803.06936 CoRR http://arxiv.org/abs/1803.06936 db/journals/corr/corr1803.html#abs-1803-06936

Xiaobin Chang Timothy M. Hospedales Tao Xiang 0002 Multi-Level Factorisation Net for Person Re-Identification. 2018 abs/1803.09132 CoRR http://arxiv.org/abs/1803.09132 db/journals/corr/corr1803.html#abs-1803-09132

Peng Xu 0005 Yongye Huang Tongtong Yuan Kaiyue Pang Yi-Zhe Song Tao Xiang 0002 Timothy M. Hospedales Zhanyu Ma Jun Guo 0002 SketchMate: Deep Hashing for Million-Scale Human Sketch Retrieval. 2018 abs/1804.01401 CoRR http://arxiv.org/abs/1804.01401 db/journals/corr/corr1804.html#abs-1804-01401

Umar Riaz Muhammad Yongxin Yang Yi-Zhe Song Tao Xiang 0002 Timothy M. Hospedales Learning Deep Sketch Abstraction. 2018 abs/1804.04804 CoRR http://arxiv.org/abs/1804.04804 db/journals/corr/corr1804.html#abs-1804-04804

Conghui Hu Da Li 0001 Yi-Zhe Song Tao Xiang 0002 Timothy M. Hospedales Sketch-a-Classifier: Sketch-based Photo Classifier Generation. 2018 abs/1804.11182 CoRR http://arxiv.org/abs/1804.11182 db/journals/corr/corr1804.html#abs-1804-11182

Jifei Song Kaiyue Pang Yi-Zhe Song Tao Xiang 0002 Timothy M. Hospedales Learning to Sketch with Shortcut Cycle Consistency. 2018 abs/1805.00247 CoRR http://arxiv.org/abs/1805.00247 db/journals/corr/corr1805.html#abs-1805-00247

Carl Allen Ivana Balazevic Timothy M. Hospedales What the Vec? Towards Probabilistically Grounded Embeddings. 2018 abs/1805.12164 CoRR http://arxiv.org/abs/1805.12164 db/journals/corr/corr1805.html#abs-1805-12164

Kunkun Pang Mingzhi Dong Yang Wu 0001 Timothy M. Hospedales Meta-Learning Transferable Active Learning Policies by Deep Reinforcement Learning. 2018 abs/1806.04798 CoRR http://arxiv.org/abs/1806.04798 db/journals/corr/corr1806.html#abs-1806-04798

Yongxin Yang Irene Garcia Morillo Timothy M. Hospedales Deep Neural Decision Trees. 2018 abs/1806.06988 CoRR http://arxiv.org/abs/1806.06988 db/journals/corr/corr1806.html#abs-1806-06988

Ke Li 0004 Kaiyue Pang Jifei Song Yi-Zhe Song Tao Xiang 0002 Timothy M. Hospedales Honggang Zhang 0002 Universal Perceptual Grouping. 2018 abs/1808.02312 CoRR http://arxiv.org/abs/1808.02312 db/journals/corr/corr1808.html#abs-1808-02312

Kaiyue Pang Da Li 0001 Jifei Song Yi-Zhe Song Tao Xiang 0002 Timothy M. Hospedales Deep Factorised Inverse-Sketching. 2018 abs/1808.02313 CoRR http://arxiv.org/abs/1808.02313 db/journals/corr/corr1808.html#abs-1808-02313

Ivana Balazevic Carl Allen Timothy M. Hospedales Hypernetwork Knowledge Graph Embeddings. 2018 abs/1808.07018 CoRR http://arxiv.org/abs/1808.07018 db/journals/corr/corr1808.html#abs-1808-07018

Kunkun Pang Mingzhi Dong Yang Wu 0001 Timothy M. Hospedales Dynamic Ensemble Active Learning: A Non-Stationary Bandit with Expert Advice. 2018 abs/1810.07778 CoRR http://arxiv.org/abs/1810.07778 db/journals/corr/corr1810.html#abs-1810-07778

Marija Jegorova Stéphane Doncieux Timothy M. Hospedales Generative Adversarial Policy Networks for Behavioural Repertoire. 2018 abs/1811.02945 CoRR http://arxiv.org/abs/1811.02945 db/journals/corr/corr1811.html#abs-1811-02945

Xueting Zhang Flood Sung Yuting Qiang Yongxin Yang Timothy M. Hospedales Deep Comparison: Relation Columns for Few-Shot Learning. 2018 abs/1811.07100 CoRR http://arxiv.org/abs/1811.07100 db/journals/corr/corr1811.html#abs-1811-07100

Xiaobin Chang Yongxin Yang Tao Xiang 0002 Timothy M. Hospedales Disjoint Label Space Transfer Learning with Common Factorised Space. 2018 abs/1812.02605 CoRR http://arxiv.org/abs/1812.02605 db/journals/corr/corr1812.html#abs-1812-02605

Yi Li 0004 Yi-Zhe Song Timothy M. Hospedales Shaogang Gong Free-Hand Sketch Synthesis with Deformable Stroke Models. 169-190 2017 122 Int. J. Comput. Vis. 1 https://doi.org/10.1007/s11263-016-0963-9 https://www.wikidata.org/entity/Q59615083 db/journals/ijcv/ijcv122.html#LiSHG17

Qian Yu 0002 Yongxin Yang Feng Liu 0036 Yi-Zhe Song Tao Xiang 0002 Timothy M. Hospedales Sketch-a-Net: A Deep Neural Network that Beats Humans. 411-425 2017 122 Int. J. Comput. Vis. 3 https://doi.org/10.1007/s11263-016-0932-3 db/journals/ijcv/ijcv122.html#YuYLSXH17

Xun Xu 0002 Timothy M. Hospedales Shaogang Gong Transductive Zero-Shot Action Recognition by Word-Vector Embedding. 309-333 2017 123 Int. J. Comput. Vis. 3 https://doi.org/10.1007/s11263-016-0983-5 db/journals/ijcv/ijcv123.html#XuHG17

Zhiyuan Shi 0001 Yongxin Yang Timothy M. Hospedales Tao Xiang 0002 Weakly-Supervised Image Annotation and Segmentation with Objects and Attributes. 2525-2538 2017 39 IEEE Trans. Pattern Anal. Mach. Intell. 12 https://doi.org/10.1109/TPAMI.2016.2645157 http://doi.ieeecomputersociety.org/10.1109/TPAMI.2016.2645157 https://www.wikidata.org/entity/Q38383084 db/journals/pami/pami39.html#ShiYHX17

Xun Xu 0002 Timothy M. Hospedales Shaogang Gong Discovery of Shared Semantic Spaces for Multiscene Video Query and Summarization. 1353-1367 2017 27 IEEE Trans. Circuits Syst. Video Technol. 6 https://doi.org/10.1109/TCSVT.2016.2532719 db/journals/tcsv/tcsv27.html#XuHG17

Ke Li 0004 Kaiyue Pang Yi-Zhe Song Timothy M. Hospedales Tao Xiang 0002 Honggang Zhang 0002 Synergistic Instance-Level Subspace Alignment for Fine-Grained Sketch-Based Image Retrieval. 5908-5921 2017 26 IEEE Trans. Image Process. 12 https://doi.org/10.1109/TIP.2017.2745106 https://www.wikidata.org/entity/Q38371359 db/journals/tip/tip26.html#LiPSHXZ17

Yongxin Yang Yu Zheng 0032 Timothy M. Hospedales Gated Neural Networks for Option Pricing: Rationality by Design. 52-58 2017 AAAI https://doi.org/10.1609/aaai.v31i1.10505 conf/aaai/2017 db/conf/aaai/aaai2017.html#YangZH17 Conghui Hu Da Li 0001 Yi-Zhe Song Timothy M. Hospedales Now You See Me: Deep Face Hallucination for Unviewed Sketches. 2017 BMVC https://www.dropbox.com/s/2jv6flwcm2x8ofe/0169.pdf conf/bmvc/2017 db/conf/bmvc/bmvc2017.html#HuLSH17 Kaiyue Pang Yi-Zhe Song Tony Xiang Timothy M. Hospedales Cross-domain Generative Learning for Fine-Grained Sketch-Based Image Retrieval. 2017 BMVC https://www.dropbox.com/s/5lrdcpy1i7va2ce/0122.pdf conf/bmvc/2017 db/conf/bmvc/bmvc2017.html#PangSXH17 Jifei Song Yi-Zhe Song Tony Xiang Timothy M. Hospedales Fine-Grained Image Retrieval: the Text/Sketch Input Dilemma. 2017 BMVC https://www.dropbox.com/s/nbzyll5aylrz7w6/0121.pdf conf/bmvc/2017 db/conf/bmvc/bmvc2017.html#SongSXH17 Ryan Layne Sion L. Hannuna Massimo Camplani Jake Hall Timothy M. Hospedales Tao Xiang 0002 Majid Mirmehdi Dima Damen A Dataset for Persistent Multi-target Multi-camera Tracking in RGB-D. 1462-1470 2017 CVPR Workshops https://doi.org/10.1109/CVPRW.2017.189 https://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.189 conf/cvpr/2017w db/conf/cvpr/cvprw2017.html#LayneHCHHXMD17 Feng Liu 0036 Tao Xiang 0002 Timothy M. Hospedales Wankou Yang Changyin Sun 0001 Semantic Regularisation for Recurrent Image Annotation. 4160-4168 2017 CVPR https://doi.ieeecomputersociety.org/10.1109/CVPR.2017.443 conf/cvpr/2017 db/conf/cvpr/cvpr2017.html#LiuXHYS17 Guosheng Hu Yang Hua 0001 Yang Yuan Zhihong Zhang 0001 Zheng Lu Sankha S. Mukherjee Timothy M. Hospedales Neil Martin Robertson Yongxin Yang Attribute-Enhanced Face Recognition with Neural Tensor Fusion Networks. 3764-3773 2017 ICCV https://doi.org/10.1109/ICCV.2017.404 https://doi.ieeecomputersociety.org/10.1109/ICCV.2017.404 conf/iccv/2017 db/conf/iccv/iccv2017.html#HuHYZLMHRY17 Da Li 0001 Yongxin Yang Yi-Zhe Song Timothy M. Hospedales Deeper, Broader and Artier Domain Generalization. 5543-5551 2017 ICCV https://doi.org/10.1109/ICCV.2017.591 https://doi.ieeecomputersociety.org/10.1109/ICCV.2017.591 conf/iccv/2017 db/conf/iccv/iccv2017.html#LiYSH17 Jifei Song Qian Yu 0002 Yi-Zhe Song Tao Xiang 0002 Timothy M. Hospedales Deep Spatial-Semantic Attention for Fine-Grained Sketch-Based Image Retrieval. 5552-5561 2017 ICCV https://doi.org/10.1109/ICCV.2017.592 https://doi.ieeecomputersociety.org/10.1109/ICCV.2017.592 conf/iccv/2017 db/conf/iccv/iccv2017.html#SongYSXH17 Mingzhi Dong Kunkun Pang Yang Wu 0001 Jing-Hao Xue Timothy M. Hospedales Tsukasa Ogasawara Transferring CNNS to multi-instance multi-label classification on small datasets. 1332-1336 2017 ICIP https://doi.org/10.1109/ICIP.2017.8296498 conf/icip/2017 db/conf/icip/icip2017.html#DongPWXHO17 Yongxin Yang Timothy M. Hospedales Deep Multi-task Representation Learning: A Tensor Factorisation Approach. 2017 ICLR (Poster) https://openreview.net/forum?id=SkhU2fcll conf/iclr/2017 db/conf/iclr/iclr2017.html#YangH17 Yongxin Yang Timothy M. Hospedales Trace Norm Regularised Deep Multi-Task Learning. 2017 ICLR (Workshop) https://openreview.net/forum?id=rknkNR7Ke conf/iclr/2017w db/conf/iclr/iclr2017w.html#YangH17a Chenyang Zhao 0007 Timothy M. Hospedales Freek Stulp Olivier Sigaud Tensor Based Knowledge Transfer Across Skill Categories for Robot Control. 3462-3468 2017 IJCAI https://doi.org/10.24963/ijcai.2017/484 conf/ijcai/2017 db/conf/ijcai/ijcai2017.html#ZhaoHSS17 Xun Xu 0002 Shaogang Gong Timothy M. Hospedales Zero-Shot Crowd Behavior Recognition. 341-369 2017 Group and Crowd Behavior for Computer Vision https://doi.org/10.1016/B978-0-12-809276-7.00018-7 books/el/MCSS2017 db/books/collections/MCSS2017.html#XuGH17 Yongxin Yang Timothy M. Hospedales Unifying Multi-domain Multitask Learning: Tensor and Neural Network Perspectives. 291-309 2017 Domain Adaptation in Computer Vision Applications https://doi.org/10.1007/978-3-319-58347-1_16 series/acvpr/978-3-319-58347-1 db/series/acvpr/domain2017.html#YangH17

Zhiyuan Shi 0001 Timothy M. Hospedales Tao Xiang 0002 Bayesian Joint Topic Modelling for Weakly Supervised Object Localisation. 2017 abs/1705.03372 CoRR http://arxiv.org/abs/1705.03372 db/journals/corr/corr1705.html#ShiHX17

Ying Zhang 0021 Tao Xiang 0002 Timothy M. Hospedales Huchuan Lu Deep Mutual Learning. 2017 abs/1706.00384 CoRR http://arxiv.org/abs/1706.00384 db/journals/corr/corr1706.html#ZhangXHL17

Zhiyuan Shi 0001 Timothy M. Hospedales Tao Xiang 0002 Transferring a Semantic Representation for Person Re-Identification and Search. 2017 abs/1706.03725 CoRR http://arxiv.org/abs/1706.03725 db/journals/corr/corr1706.html#ShiHX17a

Zhiyuan Shi 0001 Timothy M. Hospedales Tao Xiang 0002 Bayesian Joint Modelling for Object Localisation in Weakly Labelled Images. 2017 abs/1706.05952 CoRR http://arxiv.org/abs/1706.05952 db/journals/corr/corr1706.html#ShiHX17b

Flood Sung Li Zhang 0040 Tao Xiang 0002 Timothy M. Hospedales Yongxin Yang Learning to Learn: Meta-Critic Networks for Sample Efficient Learning. 2017 abs/1706.09529 CoRR http://arxiv.org/abs/1706.09529 db/journals/corr/corr1706.html#SungZXHY17

Li Zhang 0040 Flood Sung Feng Liu 0036 Tao Xiang 0002 Shaogang Gong Yongxin Yang Timothy M. Hospedales Actor-Critic Sequence Training for Image Captioning. 2017 abs/1706.09601 CoRR http://arxiv.org/abs/1706.09601 db/journals/corr/corr1706.html#ZhangSLXGYH17

Xiaobin Chang Tao Xiang 0002 Timothy M. Hospedales Deep Multi-View Learning with Stochastic Decorrelation Loss. 2017 abs/1707.09669 CoRR http://arxiv.org/abs/1707.09669 db/journals/corr/corr1707.html#ChangXH17

Zhiyuan Shi 0001 Yongxin Yang Timothy M. Hospedales Tao Xiang 0002 Weakly Supervised Image Annotation and Segmentation with Objects and Attributes. 2017 abs/1708.02459 CoRR http://arxiv.org/abs/1708.02459 db/journals/corr/corr1708.html#abs-1708-02459

Da Li 0001 Yongxin Yang Yi-Zhe Song Timothy M. Hospedales Deeper, Broader and Artier Domain Generalization. 2017 abs/1710.03077 CoRR http://arxiv.org/abs/1710.03077 db/journals/corr/corr1710.html#abs-1710-03077

Feng Liu 0036 Tao Xiang 0002 Timothy M. Hospedales Wankou Yang Changyin Sun 0001 iVQA: Inverse Visual Question Answering. 2017 abs/1710.03370 CoRR http://arxiv.org/abs/1710.03370 db/journals/corr/corr1710.html#abs-1710-03370

Da Li 0001 Yongxin Yang Yi-Zhe Song Timothy M. Hospedales Learning to Generalize: Meta-Learning for Domain Generalization. 2017 abs/1710.03463 CoRR http://arxiv.org/abs/1710.03463 db/journals/corr/corr1710.html#abs-1710-03463

Flood Sung Yongxin Yang Li Zhang 0040 Tao Xiang 0002 Philip H. S. Torr Timothy M. Hospedales Learning to Compare: Relation Network for Few-Shot Learning. 2017 abs/1711.06025 CoRR http://arxiv.org/abs/1711.06025 db/journals/corr/corr1711.html#abs-1711-06025

Tanmoy Mukherjee Makoto Yamada Timothy M. Hospedales Deep Matching Autoencoders. 2017 abs/1711.06047 CoRR http://arxiv.org/abs/1711.06047 db/journals/corr/corr1711.html#abs-1711-06047

Qian Yu 0002 Xiaobin Chang Yi-Zhe Song Tao Xiang 0002 Timothy M. Hospedales The Devil is in the Middle: Exploiting Mid-level Representations for Cross-Domain Instance Matching. 2017 abs/1711.08106 CoRR http://arxiv.org/abs/1711.08106 db/journals/corr/corr1711.html#abs-1711-08106

Yun Zhou 0001 Timothy M. Hospedales Norman E. Fenton When and where to transfer for Bayesian network parameter learning. 361-373 2016 55 Expert Syst. Appl. https://doi.org/10.1016/j.eswa.2016.02.011 https://www.wikidata.org/entity/Q37046257 db/journals/eswa/eswa55.html#ZhouHF16

Shuxin Ouyang Timothy M. Hospedales Yi-Zhe Song Xueming Li 0002 Chen Change Loy Xiaogang Wang 0001 A survey on heterogeneous face recognition: Sketch, infra-red, 3D and low-resolution. 28-48 2016 56 Image Vis. Comput. https://doi.org/10.1016/j.imavis.2016.09.001 db/journals/ivc/ivc56.html#OuyangHSLLW16

Yanwei Fu 0001 Timothy M. Hospedales Tao Xiang 0002 Jiechao Xiong Shaogang Gong Yizhou Wang 0001 Yuan Yao 0011 Robust Subjective Visual Property Prediction from Crowdsourced Pairwise Labels. 563-577 2016 38 IEEE Trans. Pattern Anal. Mach. Intell. 3 https://doi.org/10.1109/TPAMI.2015.2456887 http://doi.ieeecomputersociety.org/10.1109/TPAMI.2015.2456887 https://www.wikidata.org/entity/Q39862178 db/journals/pami/pami38.html#FuHXXGWY16

Xiaobin Chang Tao Xiang 0002 Timothy M. Hospedales L1 Graph Based Sparse Model for Label De-noising. 2016 BMVC https://bmva-archive.org.uk/bmvc/2016/papers/paper074/index.html conf/bmvc/2016 db/conf/bmvc/bmvc2016.html#ChangXH16 Jifei Song Yi-Zhe Song Tao Xiang 0002 Timothy M. Hospedales Xiang Ruan Deep Multi-task Attribute-driven Ranking for Fine-grained Sketch-based Image Retrieval. 2016 BMVC https://bmva-archive.org.uk/bmvc/2016/papers/paper132/index.html conf/bmvc/2016 db/conf/bmvc/bmvc2016.html#SongSXHR16 Qian Yu 0002 Feng Liu 0036 Yi-Zhe Song Tao Xiang 0002 Timothy M. Hospedales Chen Change Loy Sketch Me That Shoe. 799-807 2016 CVPR https://doi.org/10.1109/CVPR.2016.93 https://doi.ieeecomputersociety.org/10.1109/CVPR.2016.93 conf/cvpr/2016 db/conf/cvpr/cvpr2016.html#YuLSXHL16 Yongxin Yang Timothy M. Hospedales Multivariate Regression on the Grassmannian for Predicting Novel Domains. 5071-5080 2016 CVPR https://doi.org/10.1109/CVPR.2016.548 https://doi.ieeecomputersociety.org/10.1109/CVPR.2016.548 conf/cvpr/2016 db/conf/cvpr/cvpr2016.html#YangH16 Shuxin Ouyang Timothy M. Hospedales Yi-Zhe Song Xueming Li 0002 ForgetMeNot: Memory-Aware Forensic Facial Sketch Matching. 5571-5579 2016 CVPR https://doi.org/10.1109/CVPR.2016.601 https://doi.ieeecomputersociety.org/10.1109/CVPR.2016.601 conf/cvpr/2016 db/conf/cvpr/cvpr2016.html#OuyangHSL16 Xun Xu 0002 Timothy M. Hospedales Shaogang Gong Multi-Task Zero-Shot Action Recognition with Prioritised Data Augmentation. 343-359 2016 ECCV (2) https://doi.org/10.1007/978-3-319-46475-6_22 conf/eccv/2016-2 db/conf/eccv/eccv2016-2.html#XuHG16 Jaclyn Rich Hamed Haddadi Timothy M. Hospedales Towards Bottom-Up Analysis of Social Food. 111-120 2016 Digital Health https://doi.org/10.1145/2896338.2897734 conf/ehealth/2016 db/conf/ehealth/dh2016.html#RichHH16 Tanmoy Mukherjee Timothy M. Hospedales Gaussian Visual-Linguistic Embedding for Zero-Shot Recognition. 912-918 2016 EMNLP https://doi.org/10.18653/v1/d16-1089 https://aclanthology.org/D16-1089/ conf/emnlp/2016 db/conf/emnlp/emnlp2016.html#MukherjeeH16 Xavier Alameda-Pineda Timothy M. Hospedales Elisa Ricci 0001 Nicu Sebe Xiaogang Wang 0001 Emerging Topics in Learning from Noisy and Missing Data. 1469-1470 2016 ACM Multimedia https://doi.org/10.1145/2964284.2986910 conf/mm/2016 db/conf/mm/mm2016.html#Alameda-PinedaH16 Ke Li 0004 Kaiyue Pang Yi-Zhe Song Timothy M. Hospedales Honggang Zhang 0002 Yichuan Hu Fine-grained sketch-based image retrieval: The role of part-aware attributes. 1-9 2016 WACV https://doi.org/10.1109/WACV.2016.7477615 https://doi.ieeecomputersociety.org/10.1109/WACV.2016.7477615 conf/wacv/2016 db/conf/wacv/wacv2016.html#LiPSHZH16

Jaclyn Rich Hamed Haddadi Timothy M. Hospedales Towards Bottom-Up Analysis of Social Food. 2016 abs/1603.04497 CoRR http://arxiv.org/abs/1603.04497 db/journals/corr/corr1603.html#RichHH16

Guosheng Hu Xiaojiang Peng Yongxin Yang Timothy M. Hospedales Jakob Verbeek Frankenstein: Learning Deep Face Representations using Small Data. 2016 abs/1603.06470 CoRR http://arxiv.org/abs/1603.06470 db/journals/corr/corr1603.html#HuPYHV16

Yongxin Yang Timothy M. Hospedales Deep Multi-task Representation Learning: A Tensor Factorisation Approach. 2016 abs/1605.06391 CoRR http://arxiv.org/abs/1605.06391 db/journals/corr/corr1605.html#YangH16

Yongxin Yang Timothy M. Hospedales Trace Norm Regularised Deep Multi-Task Learning. 2016 abs/1606.04038 CoRR http://arxiv.org/abs/1606.04038 db/journals/corr/corr1606.html#YangH16a

Yongxin Yang Yu Zheng 0032 Timothy M. Hospedales Gated Neural Networks for Option Pricing: Rationality by Design. 2016 abs/1609.07472 CoRR http://arxiv.org/abs/1609.07472 db/journals/corr/corr1609.html#YangZH16

Feng Liu 0036 Tao Xiang 0002 Timothy M. Hospedales Wankou Yang Changyin Sun 0001 Semantic Regularisation for Recurrent Image Annotation. 2016 abs/1611.05490 CoRR http://arxiv.org/abs/1611.05490 db/journals/corr/corr1611.html#LiuXHYS16

Xun Xu 0002 Timothy M. Hospedales Shaogang Gong Multi-Task Zero-Shot Action Recognition with Prioritised Data Augmentation. 2016 abs/1611.08663 CoRR http://arxiv.org/abs/1611.08663 db/journals/corr/corr1611.html#XuHG16

Yongxin Yang Timothy M. Hospedales Unifying Multi-Domain Multi-Task Learning: Tensor and Neural Network Perspectives. 2016 abs/1611.09345 CoRR http://arxiv.org/abs/1611.09345 db/journals/corr/corr1611.html#YangH16c

Yi Li 0004 Timothy M. Hospedales Yi-Zhe Song Shaogang Gong Free-hand sketch recognition by multi-kernel feature learning. 1-11 2015 137 Comput. Vis. Image Underst. https://doi.org/10.1016/j.cviu.2015.02.003 https://www.wikidata.org/entity/Q114902528 db/journals/cviu/cviu137.html#LiHSG15

Zhiyuan Shi 0001 Timothy M. Hospedales Tao Xiang 0002 Bayesian Joint Modelling for Object Localisation in Weakly Labelled Images. 1959-1972 2015 37 IEEE Trans. Pattern Anal. Mach. Intell. 10 https://doi.org/10.1109/TPAMI.2015.2392769 http://doi.ieeecomputersociety.org/10.1109/TPAMI.2015.2392769 https://www.wikidata.org/entity/Q40573540 db/journals/pami/pami37.html#ShiHX15

Yanwei Fu 0001 Timothy M. Hospedales Tao Xiang 0002 Shaogang Gong Transductive Multi-View Zero-Shot Learning. 2332-2345 2015 37 IEEE Trans. Pattern Anal. Mach. Intell. 11 https://doi.org/10.1109/TPAMI.2015.2408354 http://doi.ieeecomputersociety.org/10.1109/TPAMI.2015.2408354 https://www.wikidata.org/entity/Q38402528 db/journals/pami/pami37.html#FuHXG15

Qian Yu 0002 Yongxin Yang Yi-Zhe Song Tao Xiang 0002 Timothy M. Hospedales Sketch-a-Net that Beats Humans. 7.1-7.12 2015 BMVC https://doi.org/10.5244/C.29.7 conf/bmvc/2015 db/conf/bmvc/bmvc2015.html#YuYSXH15 Yonggang Qi Yi-Zhe Song Tao Xiang 0002 Honggang Zhang 0002 Timothy M. Hospedales Yi Li 0004 Jun Guo 0002 Making better use of edges via perceptual grouping. 1856-1865 2015 CVPR https://doi.org/10.1109/CVPR.2015.7298795 https://doi.ieeecomputersociety.org/10.1109/CVPR.2015.7298795 conf/cvpr/2015 db/conf/cvpr/cvpr2015.html#QiSXZHLG15 Zhiyuan Shi 0001 Timothy M. Hospedales Tao Xiang 0002 Transferring a semantic representation for person re-identification and search. 4184-4193 2015 CVPR https://doi.org/10.1109/CVPR.2015.7299046 https://doi.ieeecomputersociety.org/10.1109/CVPR.2015.7299046 conf/cvpr/2015 db/conf/cvpr/cvpr2015.html#ShiHX15 Guosheng Hu Yongxin Yang Dong Yi Josef Kittler William J. Christmas Stan Z. Li Timothy M. Hospedales When Face Recognition Meets with Deep Learning: An Evaluation of Convolutional Neural Networks for Face Recognition. 384-392 2015 ICCV Workshops https://doi.org/10.1109/ICCVW.2015.58 https://doi.ieeecomputersociety.org/10.1109/ICCVW.2015.58 conf/iccvw/2015 db/conf/iccvw/iccvw2015.html#HuYYKCLH15 Xun Xu 0002 Timothy M. Hospedales Shaogang Gong Semantic embedding space for zero-shot action recognition. 63-67 2015 ICIP https://doi.org/10.1109/ICIP.2015.7350760 conf/icip/2015 db/conf/icip/icip2015.html#XuHG15 Yun Zhou 0001 Norman E. Fenton Timothy M. Hospedales Martin Neil Probabilistic Graphical Models Parameter Learning with Transferred Prior and Constraints. 972-981 2015 UAI conf/uai/2015 db/conf/uai/uai2015.html#ZhouFHN15 http://auai.org/uai2015/proceedings/papers/190.pdf Yongxin Yang Timothy M. Hospedales A Unified Perspective on Multi-Domain and Multi-Task Learning. 2015 conf/iclr/2015 ICLR (Poster) http://arxiv.org/abs/1412.7489 db/conf/iclr/iclr2015.html#YangH14a

Yanwei Fu 0001 Timothy M. Hospedales Tao Xiang 0002 Shaogang Gong Transductive Multi-view Zero-Shot Learning. 2015 abs/1501.04560 CoRR http://arxiv.org/abs/1501.04560 db/journals/corr/corr1501.html#FuHXG15

Yongxin Yang Timothy M. Hospedales Deep Neural Networks for Sketch Recognition. 2015 abs/1501.07873 CoRR http://arxiv.org/abs/1501.07873 db/journals/corr/corr1501.html#YangH15

Xun Xu 0002 Timothy M. Hospedales Shaogang Gong Semantic Embedding Space for Zero-Shot Action Recognition. 2015 abs/1502.01540 CoRR http://arxiv.org/abs/1502.01540 db/journals/corr/corr1502.html#XuHG15

Yanwei Fu 0001 Yongxin Yang Timothy M. Hospedales Tao Xiang 0002 Shaogang Gong Transductive Multi-label Zero-shot Learning. 2015 abs/1503.07790 CoRR http://arxiv.org/abs/1503.07790 db/journals/corr/corr1503.html#FuYHXG15

Yanwei Fu 0001 Yongxin Yang Timothy M. Hospedales Tao Xiang 0002 Shaogang Gong Transductive Multi-class and Multi-label Zero-shot Learning. 2015 abs/1503.07884 CoRR http://arxiv.org/abs/1503.07884 db/journals/corr/corr1503.html#FuYHXG15a

Zhiyuan Shi 0001 Yongxin Yang Timothy M. Hospedales Tao Xiang 0002 Weakly Supervised Learning of Objects, Attributes and their Associations. 2015 abs/1504.00045 CoRR http://arxiv.org/abs/1504.00045 db/journals/corr/corr1504.html#ShiYHX15

Guosheng Hu Yongxin Yang Dong Yi Josef Kittler William J. Christmas Stan Z. Li Timothy M. Hospedales When Face Recognition Meets with Deep Learning: an Evaluation of Convolutional Neural Networks for Face Recognition. 2015 abs/1504.02351 CoRR http://arxiv.org/abs/1504.02351 db/journals/corr/corr1504.html#HuYYKCLH15

Xun Xu 0002 Timothy M. Hospedales Shaogang Gong Discovery of Shared Semantic Spaces for Multi-Scene Video Query and Summarization. 2015 abs/1507.07458 CoRR http://arxiv.org/abs/1507.07458 db/journals/corr/corr1507.html#XuHG15a

Yongxin Yang Timothy M. Hospedales Zero-Shot Domain Adaptation via Kernel Regression on the Grassmannian. 2015 abs/1507.07830 CoRR http://arxiv.org/abs/1507.07830 db/journals/corr/corr1507.html#YangH15b

Yi Li 0004 Yi-Zhe Song Timothy M. Hospedales Shaogang Gong Free-hand Sketch Synthesis with Deformable Stroke Models. 2015 abs/1510.02644 CoRR http://arxiv.org/abs/1510.02644 db/journals/corr/corr1510.html#LiSHG15

Xun Xu 0002 Timothy M. Hospedales Shaogang Gong Zero-Shot Action Recognition by Word-Vector Embedding. 2015 abs/1511.04458 CoRR http://arxiv.org/abs/1511.04458 db/journals/corr/corr1511.html#XuHG15b

Yanwei Fu 0001 Timothy M. Hospedales Tao Xiang 0002 Shaogang Gong Learning Multimodal Latent Attributes. 303-316 2014 36 IEEE Trans. Pattern Anal. Mach. Intell. 2 https://doi.org/10.1109/TPAMI.2013.128 http://doi.ieeecomputersociety.org/10.1109/TPAMI.2013.128 https://www.wikidata.org/entity/Q38439073 https://orkg.org/resource/R209991 db/journals/pami/pami36.html#FuHXG14

Shuxin Ouyang Timothy M. Hospedales Yi-Zhe Song Xueming Li 0002 Cross-Modal Face Matching: Beyond Viewed Sketches. 210-225 2014 ACCV (2) https://doi.org/10.1007/978-3-319-16808-1_15 conf/accv/2014-2 db/conf/accv/accv2014-2.html#OuYangHSL14 Brais Cancela Timothy M. Hospedales Shaogang Gong Open-world Person Re-Identification by Multi-Label Assignment Inference. 2014 BMVC https://bmva-archive.org.uk/bmvc/2014/papers/paper091/index.html conf/bmvc/2014 db/conf/bmvc/bmvc2014.html#CancelaHG14 Yanwei Fu 0001 Yongxin Yang Timothy M. Hospedales Tao Xiang 0002 Shaogang Gong Transductive Multi-label Zero-shot Learning. 2014 BMVC https://bmva-archive.org.uk/bmvc/2014/papers/paper083/index.html conf/bmvc/2014 db/conf/bmvc/bmvc2014.html#FuYHXG14 Ryan Layne Timothy M. Hospedales Shaogang Gong Re-id: Hunting Attributes in the Wild. 2014 BMVC https://bmva-archive.org.uk/bmvc/2014/papers/paper042/index.html conf/bmvc/2014 db/conf/bmvc/bmvc2014.html#LayneHG14 Yi Li 0004 Timothy M. Hospedales Yi-Zhe Song Shaogang Gong Intra-category sketch-based image retrieval by matching deformable part models. 2014 BMVC https://bmva-archive.org.uk/bmvc/2014/papers/paper112/index.html conf/bmvc/2014 db/conf/bmvc/bmvc2014.html#LiHSG14 Ryan Layne Timothy M. Hospedales Shaogang Gong Investigating Open-World Person Re-identification Using a Drone. 225-240 2014 ECCV Workshops (3) https://doi.org/10.1007/978-3-319-16199-0_16 conf/eccv/2014w3 db/conf/eccv/eccv2014w3.html#LayneHG14 Zhiyuan Shi 0001 Yongxin Yang Timothy M. Hospedales Tao Xiang 0002 Weakly Supervised Learning of Objects, Attributes and Their Associations. 472-487 2014 ECCV (2) https://doi.org/10.1007/978-3-319-10605-2_31 conf/eccv/2014-2 db/conf/eccv/eccv2014-2.html#ShiYHX14 Yanwei Fu 0001 Timothy M. Hospedales Tao Xiang 0002 Shaogang Gong Yuan Yao 0011 Interestingness Prediction by Robust Learning to Rank. 488-503 2014 ECCV (2) https://doi.org/10.1007/978-3-319-10605-2_32 conf/eccv/2014-2 db/conf/eccv/eccv2014-2.html#FuHXGY14 Yanwei Fu 0001 Timothy M. Hospedales Tao Xiang 0002 Zhen-Yong Fu Shaogang Gong Transductive Multi-view Embedding for Zero-Shot Recognition and Annotation. 584-599 2014 ECCV (2) https://doi.org/10.1007/978-3-319-10605-2_38 conf/eccv/2014-2 db/conf/eccv/eccv2014-2.html#FuHXFG14 Shaogang Gong Marco Cristani Chen Change Loy Timothy M. Hospedales The Re-identification Challenge. 1-20 2014 Person Re-Identification https://doi.org/10.1007/978-1-4471-6296-4_1 series/acvpr/978-1-4471-6295-7 db/series/acvpr/reident2014.html#GongCLH14 Ryan Layne Timothy M. Hospedales Shaogang Gong Attributes-Based Re-identification. 93-117 2014 Person Re-Identification https://doi.org/10.1007/978-1-4471-6296-4_5 series/acvpr/978-1-4471-6295-7 db/series/acvpr/reident2014.html#LayneHG14

Shuxin Ouyang Timothy M. Hospedales Yi-Zhe Song Xueming Li 0002 A Survey on Heterogeneous Face Recognition: Sketch, Infra-red, 3D and Low-resolution. 2014 abs/1409.5114 CoRR http://arxiv.org/abs/1409.5114 db/journals/corr/corr1409.html#OuyangHSL14

Timothy M. Hospedales Shaogang Gong Tao Xiang 0002 Finding Rare Classes: Active Learning with Generative and Discriminative Models. 374-386 2013 25 IEEE Trans. Knowl. Data Eng. 2 https://doi.org/10.1109/TKDE.2011.231 http://doi.ieeecomputersociety.org/10.1109/TKDE.2011.231 db/journals/tkde/tkde25.html#HospedalesGX13

Zhiyuan Shi 0001 Timothy M. Hospedales Tao Xiang 0002 Bayesian Joint Topic Modelling for Weakly Supervised Object Localisation. 2984-2991 2013 ICCV https://doi.org/10.1109/ICCV.2013.371 https://doi.ieeecomputersociety.org/10.1109/ICCV.2013.371 conf/iccv/2013 db/conf/iccv/iccv2013.html#ShiHX13 Ryan Layne Timothy M. Hospedales Shaogang Gong Domain transfer for person re-identification. 25-32 2013 ARTEMIS@ACM Multimedia https://doi.org/10.1145/2510650.2510658 conf/mm/2013artemis db/conf/mm/artemis2013.html#LayneHG13 Xun Xu 0002 Shaogang Gong Timothy M. Hospedales Cross-domain traffic scene understanding by motion model transfer. 77-86 2013 ARTEMIS@ACM Multimedia https://doi.org/10.1145/2510650.2510657 conf/mm/2013artemis db/conf/mm/artemis2013.html#XuGH13

Timothy M. Hospedales Shaogang Gong Tao Xiang 0002 Video Behaviour Mining Using a Dynamic Topic Model. 303-323 2012 98 Int. J. Comput. Vis. 3 https://doi.org/10.1007/s11263-011-0510-7 db/journals/ijcv/ijcv98.html#HospedalesGX12

Ryan Layne Timothy M. Hospedales Shaogang Gong Person Re-identification by Attributes. 1-11 2012 BMVC https://doi.org/10.5244/C.26.24 conf/bmvc/2012 db/conf/bmvc/bmvc2012.html#LayneHG12 Chen Change Loy Timothy M. Hospedales Tao Xiang 0002 Shaogang Gong Stream-based joint exploration-exploitation active learning. 1560-1567 2012 CVPR https://doi.org/10.1109/CVPR.2012.6247847 https://doi.ieeecomputersociety.org/10.1109/CVPR.2012.6247847 conf/cvpr/2012 db/conf/cvpr/cvpr2012.html#LoyHXG12 Ryan Layne Timothy M. Hospedales Shaogang Gong Towards Person Identification and Re-identification with Attributes. 402-412 2012 ECCV Workshops (1) https://doi.org/10.1007/978-3-642-33863-2_40 conf/eccv/2012w1 db/conf/eccv/eccv2012w1.html#LayneHG12 Timothy M. Hospedales Shaogang Gong Tao Xiang 0002 A Unifying Theory of Active Discovery and Learning. 453-466 2012 ECCV (5) https://doi.org/10.1007/978-3-642-33715-4_33 conf/eccv/2012-5 db/conf/eccv/eccv2012-5.html#HospedalesGX12 Yanwei Fu 0001 Timothy M. Hospedales Tao Xiang 0002 Shaogang Gong Attribute Learning for Understanding Unstructured Social Activity. 530-543 2012 ECCV (4) https://doi.org/10.1007/978-3-642-33765-9_38 conf/eccv/2012-4 db/conf/eccv/eccv2012-4.html#FuHXG12

Timothy M. Hospedales Jian Li Shaogang Gong Tao Xiang 0002 Identifying Rare and Subtle Behaviors: A Weakly Supervised Joint Topic Model. 2451-2464 2011 33 IEEE Trans. Pattern Anal. Mach. Intell. 12 https://doi.org/10.1109/TPAMI.2011.81 http://doi.ieeecomputersociety.org/10.1109/TPAMI.2011.81 https://www.wikidata.org/entity/Q42598695 db/journals/pami/pami33.html#HospedalesLGX11

Timothy M. Hospedales Shaogang Gong Tao Xiang 0002 Learning Tags from Unsegmented Videos of Multiple Human Actions. 251-259 2011 ICDM https://doi.org/10.1109/ICDM.2011.90 https://doi.ieeecomputersociety.org/10.1109/ICDM.2011.90 conf/icdm/2011 db/conf/icdm/icdm2011.html#HospedalesGX11 Timothy M. Hospedales Shaogang Gong Tao Xiang 0002 Finding Rare Classes: Adapting Generative and Discriminative Models in Active Learning. 296-308 2011 PAKDD (2) https://doi.org/10.1007/978-3-642-20847-8_25 conf/pakdd/2011-2 db/conf/pakdd/pakdd2011-2.html#HospedalesGX11 Jian Li Timothy M. Hospedales Shaogang Gong Tao Xiang 0002 Learning Rare Behaviours. 293-307 2010 ACCV (2) https://doi.org/10.1007/978-3-642-19309-5_23 conf/accv/2010-2 db/conf/accv/accv2010-2.html#LiHGX10 Emanuel Zelniker Timothy M. Hospedales Shaogang Gong Tao Xiang 0002 A Unified Bayesian Framework for Adaptive Visual Tracking. 2009 BMVC https://doi.org/10.5244/C.23.18 conf/bmvc/2009 db/conf/bmvc/bmvc2009.html#ZelnikerHGX09 1-11 Timothy M. Hospedales Shaogang Gong Tao Xiang 0002 A Markov Clustering Topic Model for mining behaviour in video. 1165-1172 2009 ICCV https://doi.org/10.1109/ICCV.2009.5459342 https://doi.ieeecomputersociety.org/10.1109/ICCV.2009.5459342 conf/iccv/2009 db/conf/iccv/iccv2009.html#HospedalesGX09 Timothy M. Hospedales Bayesian multisensory perception. 2008 University of Edinburgh, UK https://hdl.handle.net/1842/2156 https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.562133 British Library, EThOS

Timothy M. Hospedales Mark C. W. van Rossum Bruce P. Graham Mayank B. Dutia Implications of Noise and Neural Heterogeneity for Vestibulo-Ocular Reflex Fidelity. 756-778 2008 20 Neural Comput. 3 https://doi.org/10.1162/neco.2007.09-06-339 https://www.wikidata.org/entity/Q51624405 db/journals/neco/neco20.html#HospedalesRGD08

Timothy M. Hospedales Sethu Vijayakumar Structure Inference for Bayesian Multisensory Scene Understanding. 2140-2157 2008 30 IEEE Trans. Pattern Anal. Mach. Intell. 12 https://doi.org/10.1109/TPAMI.2008.25 http://doi.ieeecomputersociety.org/10.1109/TPAMI.2008.25 https://www.wikidata.org/entity/Q48869805 db/journals/pami/pami30.html#HospedalesV08

Timothy M. Hospedales Oliver Williams An Adaptive Machine Director. 2008 BMVC https://doi.org/10.5244/C.22.118 conf/bmvc/2008 db/conf/bmvc/bmvc2008.html#HospedalesW08 1-10 Timothy M. Hospedales Joel J. Cartwright Sethu Vijayakumar Structure Inference for Bayesian Multisensory Perception and Tracking. 2122-2128 2007 conf/ijcai/2007 IJCAI http://ijcai.org/Proceedings/07/Papers/342.pdf db/conf/ijcai/ijcai2007.html#HospedalesCV07 Xavier Alameda-Pineda Edesio Alcobaça Carl Allen Antreas Antoniou Oisin Mac Aodha Martin Asenov Ivana Balazevic Hmrishav Bandyopadhyay Fazl Barez Adrian El Baz Sourav Bhattacharya Ayan Kumar Bhunia Hakan Bilen Ondrej Bohdal Nicolas Bredèche Silvia Bucci Sam Budgett Adrian Bulat Michael Burke Massimo Camplani Brais Cancela Angelo Cangelosi Olga Capirci Joel J. Cartwright André C. P. L. F. de Carvalho Dongliang Chang Xiaobin Chang Ruchika Chavhan Bowei Chen 0001 Hao Mark Chen Hong Chen 0011 Nancy Chen Wenqi Chen Pinaki Nath Chowdhury William J. Christmas David A. Clifton Miranda ConinxAlexandre Coninx Cristina Cornelio Marco Cristani Biying Cui Richard Culwick Dima Damen Ayan Das 0003 Lucas Deecke Vera Demberg Stéphane Doncieux Mingzhi Dong Yuan Dong Ruoyi Du Lukasz Dudziak Richard J. Duro Mayank B. Dutia Raman Dutt A. E. Eiben Linus Ericsson Panagiotis Eustratiadis Maurice FallonMaurice F. Fallon Hongxiang Fan Liming Fang Norman E. Fenton Martin Ferianc Javier Fernández-Marqués Fabio Ferreira David Filliat Chuan-Sheng Foo Yanwei Fu 0001 Zhenyong FuZhen-Yong Fu Boyan Gao Yan Gao 0016 Benoît Girard 0001 Leni K. Le Goff Shaogang Gong Xiao Gong Henry Gouk Shreyank N. Gowda Bruce P. Graham Yulia Gryaditskaya Chaoyu Guan Jiechao Guan Jun Guo 0002 Li Guo Yanwen Guo 0001 Yurong Guo Isabelle Guyon Hamed Haddadi Jake Hall Aili Han Sion L. Hannuna Calum Heggan Conghui Hu Guosheng Hu Shell Hu Shell Xu Hu Yichuan Hu Yuxin Hu Yang Hua 0001 Yongye Huang Mike Huisman Ferenc HuszarFerenc Huszár Frank Hutter Sung Ju Hwang Felix Ingham Leonardo Iurada Vladimir Ivan Miguel Jaques Marija Jegorova Zhong Ji Jieru Jia Wei Jia 0001 Yu-Gang Jiang 0001 Antti Ilari Karjalainen Mehdi Khamassi Hyeji Kim Minyoung Kim 0001 Taehoon Kim Josef Kittler Mustafa Taha Koçyigit Jean Kossaifi Nicholas D. LaneNicholas Donald Lane Stefanos Laskaridis Ryan Layne Yann LeCun Haebeom Lee Hayeon Lee Royson Lee Jingshi Lei Da Li 0001 Huihui Li Jian Li Ke Li 0004 Mingkang Li 0003 Pan Li Rui Li 0052 Stan Z. Li Wei Li 0132 Xueming Li 0002 Yang Li Yi Li 0004 Yiying Li Yonggang Li Yunpeng Li 0004 Kongming Liang Fengyin Lin Haibin Ling Cong Liu 0006 Feng Liu 0036 Jianguo Liu Jiyuan Liu 0003 Kun Liu 0016 Li Liu 0002 Li Liu 0004 Xinwang Liu 0002 Zhengying Liu Zicheng Liu 0006 Mingsheng Long Chen Change Loy Huchuan Lu Zheng Lu Zhihe Lu Zhiwu Lu 0001 Wayne Luk Jiebo Luo 0001 Zhanyu Ma Brais Martínez Steven McDonagh 0001 Debin Meng Haibo Mi Paul Micaelli Loizos Michael Qiangwei Miemie Majid Mirmehdi Rajesh K. Mishra Michael N. Mistry Zhiwen Mo Felix Mohr Irene Garcia Morillo Umar Riaz Muhammad Sankha S. Mukherjee Tanmoy Mukherjee Martin Neil Tsukasa Ogasawara Shuxin Ouyang Wanli Ouyang Ekrem Öztürk Yuangang Pan Yannis Panagakis Kaiyue Pang Kunkun Pang Maja Pantic Xiaojiang Peng Yuxin Peng 0001 Juan-Manuel Pérez-Rúa Nicolas Perrin-GilbertNicolas Perrin 0001 Deyan Petrov Matti Pietikäinen Gabriella Pizzuto Massimiliano Pontil Anran Qi Yonggang Qi Yuting Qiang Xinchi Qiu Christian Rauch 0002 Fady Rezk Elisa Ricci 0001 Jaclyn Rich Jan N. van Rijn Neil Robertson 0002Neil Martin Robertson Miguel R. D. Rodrigues Natalia Díaz Rodríguez Diederik M. Roijers Mark C. W. van Rossum Qiuqi Ruan Xiang Ruan Anisha Saha Aneeshan Sain Pedro Sanchez Nicu Sebe Laura Sevilla-Lara Youyang Sha Ling Shao 0001 Fumin Shen Xi Shen Zhiyuan Shi 0001 Luísa Shimabucoro Jaewoong Shin Jamie Shotton Chao Shu Hubert P. H. Shum Olivier Sigaud Joshua Smith 0002 Jifei Song Yi-Zhe Song Amos J. StorkeyAmos Storkey 0001 Jan StühmerJan Stuehmer Freek Stulp Changyin Sun 0001 Haozhe Sun Flood Sung Varsha Suresh Fuwen Tan Yinbing Tian Antoine Toisoul Tatiana Tommasi Yujun Tong Philip Torr 0001Philip H. S. Torr Sotirios A. Tsaftaris Efthymia Tsamoura Tinne Tuytelaars Georgios Tzimiropoulos Ihsan Ullah Jose Vazquez Stylianos I. Venieris Jakob Verbeek Sethu Vijayakumar Huaimin Wang Liang Wang 0001 Meng Wang 0001 Qianzhou Wang Xiaogang Wang 0001 Xin Wang 0019 Yang Wang 0023 Yinzhi Wang Yizhou Wang 0001 Yongtao Wang Duncan Williams Oliver Williams Yang Wu 0001 Tao Xiang 0002 Tony Xiang Fei Xie Xingrun Xing Jiechao Xiong Chengming Xu 0001 Peng Xu 0005 Qiuhua Xu Xinnuo Xu Xun Xu 0002 Jing-Hao Xue Mehrdad Yaghoobi Makoto Yamada Eunho Yang Kai Yang 0031 Ruolin Yang 0001 Wankou Yang Yibo Yang Yongxin Yang Yongxing Yang Yongchen Yao Yuan Yao 0011 Dong Yi Qiyue Yin Qian Yu 0002 Tianyuan Yu Tingyang Yu Xuanlong Yu Zehao Yu Tongtong Yuan Yang Yuan Emanuel Zelniker Honggang Zhang 0001 Honggang Zhang 0002 Jianshu Zhang 0001 Letian Zhang Li Zhang 0040 Xueting Zhang Ying Zhang 0021 Zhihong Zhang 0001 Bingchen Zhao Bo Zhao Chenyang Zhao 0007 Yu Zheng 0032 Kaiyang Zhou Wei Zhou Yun Zhou 0001 En Zhu Wenwu Zhu 0001 Xiatian Zhu Yongshuo Zong