Large (Vision) Language Models are Unsupervised In-Context Learners.

Zhitong Gao Artyom Gadetsky Andrei Atanov Yulun Jiang Zhitong Gao Ghazal Hosseini Mighan Amir Zamir Maria Brbic Large (Vision) Language Models are Unsupervised In-Context Learners. 2025 ICLR https://openreview.net/forum?id=ohJxgRLlLt conf/iclr/2025 db/conf/iclr/iclr2025.html#GadetskyAJGMZB25

Artyom Gadetsky Andrei Atanov Yulun Jiang Zhitong Gao Ghazal Hosseini Mighan Amir Zamir Maria Brbic Large (Vision) Language Models are Unsupervised In-Context Learners. 2025 April abs/2504.02349 CoRR https://doi.org/10.48550/arXiv.2504.02349 db/journals/corr/corr2504.html#abs-2504-02349 streams/journals/corr

Zhitong Gao Bingnan Li Mathieu Salzmann Xuming He 0001 Generalize or Detect? Towards Robust Semantic Segmentation Under Multiple Distribution Shifts. 2024 NeurIPS http://papers.nips.cc/paper_files/paper/2024/hash/5d3b57e06e3fc45f077eb5c9f28156d4-Abstract-Conference.html conf/nips/2024 db/conf/nips/neurips2024.html#GaoLS024

Zhitong Gao Bingnan Li Mathieu Salzmann Xuming He 0001 Generalize or Detect? Towards Robust Semantic Segmentation Under Multiple Distribution Shifts. 2024 abs/2411.03829 CoRR https://doi.org/10.48550/arXiv.2411.03829 db/journals/corr/corr2411.html#abs-2411-03829 streams/journals/corr

Xuanlong Yu Yi Zuo 0003 Zitao Wang Xiaowen Zhang Jiaxuan Zhao Yuting Yang 0008 Licheng Jiao Rui Peng Xinyi Wang Junpei Zhang Kexin Zhang 0003 Fang Liu 0001 Roberto Alcover-Couso Juan C. SanMiguel Marcos Escudero-Viñolo Hanlin Tian Kenta Matsui Tianhao Wang 0026 Fahmy Adan Zhitong Gao Xuming He 0001 Quentin Bouniot Hossein Moghaddam Shyam Nandan Rai Fabio Cermelli Carlo Masone Andrea Pilzer Elisa Ricci 0001 Andrei Bursuc Arno Solin Martin Trapp 0001 Rui Li 0001 Angela Yao Wenlong Chen Ivor Simpson Neill D. F. Campbell Gianni Franchi The Robust Semantic Segmentation UNCV2023 Challenge Results. 4620-4630 2023 ICCV (Workshops) https://doi.org/10.1109/ICCVW60793.2023.00496 conf/iccvw/2023 db/conf/iccvw/iccvw2023.html#YuZWZZYJPWZ0LAS23 Zhitong Gao Yucong Chen Chuyu Zhang Xuming He 0001 Modeling Multimodal Aleatoric Uncertainty in Segmentation with Mixture of Stochastic Experts. 2023 ICLR https://openreview.net/forum?id=KE_wJD2RK4 conf/iclr/2023 db/conf/iclr/iclr2023.html#GaoCZ023 Chuanyang Hu Shipeng Yan Zhitong Gao Xuming He 0001 MILD: Modeling the Instance Learning Dynamics for Learning with Noisy Labels. 828-836 2023 IJCAI https://doi.org/10.24963/ijcai.2023/92 conf/ijcai/2023 db/conf/ijcai/ijcai2023.html#HuYG023 Bingnan Li Zhitong Gao Xuming He 0001 Gradient-Map-Guided Adaptive Domain Generalization for Cross Modality MRI Segmentation. 292-306 2023 ML4H@NeurIPS https://proceedings.mlr.press/v225/li23a.html conf/ml4h/2023 db/conf/ml4h/ml4h2023.html#LiG023 Zhitong Gao Shipeng Yan Xuming He 0001 ATTA: Anomaly-aware Test-Time Adaptation for Out-of-Distribution Detection in Segmentation. 2023 NeurIPS http://papers.nips.cc/paper_files/paper/2023/hash/8dcc306a2522c60a78f047ab8739e631-Abstract-Conference.html conf/nips/2023 db/conf/nips/neurips2023.html#GaoY023

Chuanyang Hu Shipeng Yan Zhitong Gao Xuming He 0001 MILD: Modeling the Instance Learning Dynamics for Learning with Noisy Labels. 2023 abs/2306.11560 CoRR https://doi.org/10.48550/arXiv.2306.11560 db/journals/corr/corr2306.html#abs-2306-11560

Zhitong Gao Shipeng Yan Xuming He 0001 ATTA: Anomaly-aware Test-Time Adaptation for Out-of-Distribution Detection in Segmentation. 2023 abs/2309.05994 CoRR https://doi.org/10.48550/arXiv.2309.05994 db/journals/corr/corr2309.html#abs-2309-05994

Bingnan Li Zhitong Gao Xuming He 0001 Gradient-Map-Guided Adaptive Domain Generalization for Cross Modality MRI Segmentation. 2023 abs/2311.09737 CoRR https://doi.org/10.48550/arXiv.2311.09737 db/journals/corr/corr2311.html#abs-2311-09737

Zhitong Gao Yucong Chen Chuyu Zhang Xuming He 0001 Modeling Multimodal Aleatoric Uncertainty in Segmentation with Mixture of Stochastic Expert. 2022 abs/2212.07328 CoRR https://doi.org/10.48550/arXiv.2212.07328 db/journals/corr/corr2212.html#abs-2212-07328

Shuailin Li Zhitong Gao Xuming He 0001 Superpixel-Guided Iterative Learning from Noisy Labels for Medical Image Segmentation. 525-535 2021 MICCAI (1) https://doi.org/10.1007/978-3-030-87193-2_50 conf/miccai/2021-1 db/conf/miccai/miccai2021-1.html#LiGH21

Shuailin Li Zhitong Gao Xuming He 0001 Superpixel-guided Iterative Learning from Noisy Labels for Medical Image Segmentation. 2021 abs/2107.10100 CoRR https://arxiv.org/abs/2107.10100 db/journals/corr/corr2107.html#abs-2107-10100

Fahmy Adan Roberto Alcover-Couso Andrei Atanov Quentin Bouniot Maria Brbic Andrei Bursuc Neill D. F. Campbell Fabio Cermelli Wenlong Chen Yucong Chen Marcos Escudero-Viñolo Gianni Franchi Artyom Gadetsky Xuming He 0001 Chuanyang Hu Yulun Jiang Licheng Jiao Bingnan Li Rui Li 0001 Shuailin Li Fang Liu 0001 Carlo Masone Kenta Matsui Ghazal Hosseini Mighan Hossein Moghaddam Rui Peng Andrea Pilzer Shyam Nandan Rai Elisa Ricci 0001 Mathieu Salzmann Juan C. SanMiguel Ivor J. A. SimpsonIvor Simpson Arno Solin Hanlin Tian Martin Trapp 0001 Tianhao Wang 0026 Xinyi Wang Zitao Wang Shipeng Yan Yuting Yang 0008 Angela Yao Xuanlong Yu Amir Zamir Chuyu Zhang Junpei Zhang Kexin Zhang 0003 Xiaowen Zhang Jiaxuan Zhao Yi Zuo 0003