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Ramin Zabih

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Stable Estimation of Survival Causal Effects

Oct 01, 2023
Khiem Pham, David A. Hirshberg, Phuong-Mai Huynh-Pham, Michele Santacatterina, Ser-Nam Lim, 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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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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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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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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Object-centered image stitching

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

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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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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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