Shelhamer, Evan

25 publications

TMLR 2026 A Closer Look at In-Distribution vs. Out-of-Distribution Accuracy for Open-Set Test-Time Adaptation Zefeng Li, Evan Shelhamer

ICLR 2026 Thicker and Quicker: The Jumbo Token for Fast Plain Vision Transformers Anthony Fuller, Yousef Yassin, Daniel Kyrollos, Evan Shelhamer, James R Green

NeurIPS 2025 Asymmetric Duos: Sidekicks Improve Uncertainty Tim G. Zhou, Evan Shelhamer, Geoff Pleiss

ICML 2025 Galileo: Learning Global & Local Features of Many Remote Sensing Modalities Gabriel Tseng, Anthony Fuller, Marlena Reil, Henry Herzog, Patrick Beukema, Favyen Bastani, James R Green, Evan Shelhamer, Hannah Kerner, David Rolnick

NeurIPS 2025 LookWhere? Efficient Visual Recognition by Learning Where to Look and What to See from Self-Supervision Anthony Fuller, Yousef Yassin, Junfeng Wen, Tarek Ibrahim, Daniel Kyrollos, James R Green, Evan Shelhamer

NeurIPS 2025 ReservoirTTA: Prolonged Test-Time Adaptation for Evolving and Recurring Domains Guillaume Vray, Devavrat Tomar, Xufeng Gao, Jean-Philippe Thiran, Evan Shelhamer, Behzad Bozorgtabar

NeurIPS 2024 Adaptive Randomized Smoothing: Certified Adversarial Robustness for Multi-Step Defences Saiyue Lyu, Shadab Shaikh, Frederick Shpilevskiy, Evan Shelhamer, Mathias Lécuyer

CVPR 2023 Back to the Source: Diffusion-Driven Adaptation to Test-Time Corruption Jin Gao, Jialing Zhang, Xihui Liu, Trevor Darrell, Evan Shelhamer, Dequan Wang

CVPR 2023 Seasoning Model Soups for Robustness to Adversarial and Natural Distribution Shifts Francesco Croce, Sylvestre-Alvise Rebuffi, Evan Shelhamer, Sven Gowal

ICLR 2022 Anytime Dense Prediction with Confidence Adaptivity Zhuang Liu, Zhiqiu Xu, Hung-Ju Wang, Trevor Darrell, Evan Shelhamer

ICML 2022 Evaluating the Adversarial Robustness of Adaptive Test-Time Defenses Francesco Croce, Sven Gowal, Thomas Brunner, Evan Shelhamer, Matthias Hein, Taylan Cemgil

ECCV 2022 Object Discovery and Representation Networks Olivier J. Hénaff, Skanda Koppula, Evan Shelhamer, Daniel Zoran, Andrew Jaegle, Andrew Zisserman, João Carreira, Relja Arandjelović

ICLR 2022 Perceiver IO: A General Architecture for Structured Inputs & Outputs Andrew Jaegle, Sebastian Borgeaud, Jean-Baptiste Alayrac, Carl Doersch, Catalin Ionescu, David Ding, Skanda Koppula, Daniel Zoran, Andrew Brock, Evan Shelhamer, Olivier J Henaff, Matthew Botvinick, Andrew Zisserman, Oriol Vinyals, Joao Carreira

ICLR 2021 Tent: Fully Test-Time Adaptation by Entropy Minimization Dequan Wang, Evan Shelhamer, Shaoteng Liu, Bruno Olshausen, Trevor Darrell

ICLRW 2019 Efficient Receptive Field Learning by Dynamic Gaussian Structure Evan Shelhamer, Dequan Wang, Trevor Darrell

ICML 2019 Infinite Mixture Prototypes for Few-Shot Learning Kelsey Allen, Evan Shelhamer, Hanul Shin, Joshua Tenenbaum

CVPR 2018 Deep Layer Aggregation Fisher Yu, Dequan Wang, Evan Shelhamer, Trevor Darrell

ICLR 2018 Zero-Shot Visual Imitation Deepak Pathak, Parsa Mahmoudieh, Guanghao Luo, Pulkit Agrawal, Dian Chen, Yide Shentu, Evan Shelhamer, Jitendra Malik, Alexei A. Efros, Trevor Darrell

CVPRW 2018 Zero-Shot Visual Imitation Deepak Pathak, Parsa Mahmoudieh, Guanghao Luo, Pulkit Agrawal, Dian Chen, Yide Shentu, Evan Shelhamer, Jitendra Malik, Alexei A. Efros, Trevor Darrell

ICLR 2017 Loss Is Its Own Reward: Self-Supervision for Reinforcement Learning Evan Shelhamer, Parsa Mahmoudieh, Max Argus, Trevor Darrell

ECCV 2016 Clockwork Convnets for Video Semantic Segmentation Evan Shelhamer, Kate Rakelly, Judy Hoffman, Trevor Darrell

ECCVW 2016 Clockwork Convnets for Video Semantic Segmentation Evan Shelhamer, Kate Rakelly, Judy Hoffman, Trevor Darrell

ICLR 2015 Fully Convolutional Multi-Class Multiple Instance Learning Deepak Pathak, Evan Shelhamer, Jonathan Long, Trevor Darrell

CVPR 2015 Fully Convolutional Networks for Semantic Segmentation Jonathan Long, Evan Shelhamer, Trevor Darrell

ICCVW 2015 Scene Intrinsics and Depth from a Single Image Evan Shelhamer, Jonathan T. Barron, Trevor Darrell