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Computer Vision Lab Zurich
@CVL_ETH
The Computer Vision Laboratory, ETH Zurich, works on the computer-based interpretation of 2D and 3D image data sets
Zurich
Joined December 2019
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    It is with great pleasure that we announce that MIDL 2022 will be hosted in Zürich! We are looking forward to welcoming everyone to the charming city as well as stimulating a fruitful exchange of research. MIDL : midl.io MIDL 2022: 2022.midl.io
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    Lukas Hoyer, PhD student at CVL, has been honored with the ETH Medal for Outstanding Master's Theses. Lukas conducted his Master's project on "Improving Semantic Segmentation with Self-Supervised Depth Estimation" advised by Dengxin Dai and Luc Van Gool. github.com/lhoyer/improvi…
    GIF
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    Sergi Caelles (@skprat) has successfully defended his PhD thesis with the title "Video Object Segmentation: Methods and Datasets" via video conference. Congratulations and good luck with your future endeavours!
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    Glad to share that our paper "Constrained Optimization to Train Neural Networks on Critical and Under-Represented Classes" by S. Sangalli, E. Erdil, A. Hoetker, O. Donati and E. Konukoglu got accepted for publication at NeurIPS 2021.
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    ACDC Dataset Released ACDC is a new large-scale driving dataset for training and testing semantic segmentation algorithms on adverse visual conditions, such as fog, nighttime, rain, and snow. The dataset and associated benchmarks are now available at acdc.vision.ee.ethz.ch
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    Call for Papers for MIDL 2022 in Zürich, Switzerland, is up: 2022.midl.io/call-for-paper…
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    Christos Sakaridis has successfully defended his PhD His PhD thesis is titled "Semantic Understanding of Driving Scenes in Adverse Conditions". It introduces methods and datasets for improving the performance of semantic scene understanding algorithms under adverse conditions.
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    Fabian Mentzer (@mentzer_f) has successfully defended his PhD. In his thesis, he presented four algorithms for neural image compression, two for lossless compression, and two for lossy compression. To learn more about the underlying publications, see: fmentzer.github.io
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    We're very excited about the four papers that will be presented from CVL at MICCAI this week. Below is a small teaser about work on reconstruction, shape and distribution modeling as well as reinforcement learning applied to medical imaging challenges. youtu.be/vBVPGWhTMtA
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    Fabien Péan has successfully defended his PhD thesis entitled "Computational Modeling and Simulation of the Shoulder for Functional Analysis of Orthopedic Surgery Outcomes".
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    We are excited to share our #NeurIPS2020 papers presented this week from our lab. Check the below teaser to get a glimpse of the topics. See you at the poster sessions!
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    We are happy to announce that Luc Van Gool has been honored with the Dandelion Entrepreneurship Award 2021 for ETH Professors (D-ITET). ai.ethz.ch/entrepreneursh…
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    Yuhua Chen successfully completed his PhD thesis with the title "Label Efficient Learning for Scene Understanding" icu.ee.ethz.ch/cvlnews/2020/1…