Evan Shelhamer
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
17
Venues
4
Active years
2015–2025
Best venue rank
A*
Where they publish
Papers
17 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ICML | 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 |
| 2023 | CVPR | Seasoning Model Soups for Robustness to Adversarial and Natural Distribution Shifts. | Francesco Croce, Sylvestre-Alvise Rebuffi, Evan Shelhamer, Sven Gowal |
| 2023 | CVPR | Back to the Source: Diffusion-Driven Adaptation to Test-Time Corruption. | Jin Gao, Jialing Zhang, Xihui Liu, Trevor Darrell, Evan Shelhamer, Dequan Wang |
| 2022 | ECCV | Object Discovery and Representation Networks. | Olivier J. Hnaff, Skanda Koppula, Evan Shelhamer, Daniel Zoran, Andrew Jaegle, Andrew Zisserman, Joo Carreira, Relja Arandjelovic |
| 2022 | ICLR | Anytime Dense Prediction with Confidence Adaptivity. | Zhuang Liu, Zhiqiu Xu, Hung-Ju Wang, Trevor Darrell, Evan Shelhamer |
| 2022 | ICLR | 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. Hnaff, Matthew M. Botvinick, Andrew Zisserman, Oriol Vinyals, Joo Carreira |
| 2022 | ICML | Evaluating the Adversarial Robustness of Adaptive Test-time Defenses. | Francesco Croce, Sven Gowal, Thomas Brunner, Evan Shelhamer, Matthias Hein, A. Taylan Cemgil |
| 2021 | ICLR | Tent: Fully Test-Time Adaptation by Entropy Minimization. | Dequan Wang, Evan Shelhamer, Shaoteng Liu, Bruno A. Olshausen, Trevor Darrell |
| 2019 | ICML | Infinite Mixture Prototypes for Few-shot Learning. | Kelsey R. Allen, Evan Shelhamer, Hanul Shin, Joshua B. Tenenbaum |
| 2018 | CVPR | 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 |
| 2018 | CVPR | Deep Layer Aggregation. | Fisher Yu, Dequan Wang, Evan Shelhamer, Trevor Darrell |
| 2018 | ICLR | 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 |
| 2018 | ICLR | Conditional Networks for Few-Shot Semantic Segmentation. | Kate Rakelly, Evan Shelhamer, Trevor Darrell, Alyosha A. Efros, Sergey Levine |
| 2018 | ICLR | Learning Rich Image Representation with Deep Layer Aggregation. | Fisher Yu, Dequan Wang, Evan Shelhamer, Trevor Darrell |
| 2017 | ICLR | Loss is its own Reward: Self-Supervision for Reinforcement Learning. | Evan Shelhamer, Parsa Mahmoudieh, Max Argus, Trevor Darrell |
| 2016 | ECCV | Clockwork Convnets for Video Semantic Segmentation. | Evan Shelhamer, Kate Rakelly, Judy Hoffman, Trevor Darrell |
| 2015 | CVPR | Fully convolutional networks for semantic segmentation. | Jonathan Long, Evan Shelhamer, Trevor Darrell |