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Ramin Zabih
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Distribution Normalization: An "Effortless" Test-Time Augmentation for Contrastively Learned Visual-language Models


Feb 22, 2023
Yifei Zhou, Juntao Ren, Fengyu Li, Ramin Zabih, Ser-Nam Lim

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* 13 pages, 4 figures 
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Dimensions of Motion: Learning to Predict a Subspace of Optical Flow from a Single Image


Jan 06, 2022
Richard Strong Bowen, Richard Tucker, Ramin Zabih, Noah Snavely

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* Project page at https://dimensions-of-motion.github.io/ 
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Pyramid Adversarial Training Improves ViT Performance


Nov 30, 2021
Charles Herrmann, Kyle Sargent, Lu Jiang, Ramin Zabih, Huiwen Chang, Ce Liu, Dilip Krishnan, Deqing Sun

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* 32 pages, including references & supplementary material 
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Deep survival analysis with longitudinal X-rays for COVID-19


Aug 22, 2021
Michelle Shu, Richard Strong Bowen, Charles Herrmann, Gengmo Qi, Michele Santacatterina, Ramin Zabih

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AutoFlow: Learning a Better Training Set for Optical Flow


Apr 29, 2021
Deqing Sun, Daniel Vlasic, Charles Herrmann, Varun Jampani, Michael Krainin, Huiwen Chang, Ramin Zabih, William T. Freeman, Ce Liu

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* CVPR 2021 
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Object-centered image stitching


Nov 23, 2020
Charles Herrmann, Chen Wang, Richard Strong Bowen, Emil Keyder, Ramin Zabih

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* ECCV 2018 
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Robust image stitching with multiple registrations


Nov 23, 2020
Charles Herrmann, Chen Wang, Richard Strong Bowen, Emil Keyder, Michael Krainin, Ce Liu, Ramin Zabih

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* ECCV 2018 
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Learning to Autofocus


May 02, 2020
Charles Herrmann, Richard Strong Bowen, Neal Wadhwa, Rahul Garg, Qiurui He, Jonathan T. Barron, Ramin Zabih

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* CVPR 2020 
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