🧑‍🔬 Evan Shelhamer — all works

35 works · ← Evan Shelhamer

1. Fully convolutional networks for semantic segmentation ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetJonathan Long, Evan Shelhamer, Trevor Jackson Darrell2015 · 36,797 citations
2. Fully Convolutional Networks for Semantic Segmentation ↗IEEE Transactions on Pattern Analysis and Machine Intelligence · no summary yetEvan Shelhamer, Jonathan Long, Trevor Jackson Darrell2016 · 11,507 citations
3. Caffe ↗ACM International Conference on Multimedia (ACM MM) · no summary yetYangqing Jia et al.2014 · 10,940 citations
4. Caffe: Convolutional Architecture for Fast Feature EmbeddingarXiv:1408.5093Yangqing Jia, Evan Shelhamer, Jeff Donahue, et al.2014 · 4,209 citations
5. Deep Layer Aggregation ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetFisher Yu et al.2018 · 1,565 citations
6. cuDNN: Efficient Primitives for Deep LearningarXiv 2014 (NVIDIA)Sharan Chetlur, Cliff Woolley, Philippe Vandermersch, et al.2014 · 1,240 citations
7. Tent: Fully Test-time Adaptation by Entropy Minimization ↗arXiv (Cornell University) · no summary yetDequan Wang et al.2020 · 351 citations
8. Perceiver IO: A General Architecture for Structured Inputs & Outputs ↗arXiv (Cornell University) · no summary yetAndrew Jaegle et al.2021 · 283 citations
9. Fully Convolutional Multi-Class Multiple Instance Learning ↗arXiv (Cornell University) · no summary yetDeepak Pathak et al.2014 · 242 citations
10. Clockwork Convnets for Video Semantic Segmentation ↗Lecture notes in computer science · no summary yetEvan Shelhamer et al.2016 · 204 citations
11. Zero-Shot Visual Imitation ↗IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) · no summary yetDeepak Pathak et al.2018 · 190 citations
12. Conditional Networks for Few-Shot Semantic Segmentation ↗International Conference on Learning Representations · no summary yetKate Rakelly et al.2018 · 159 citations
13. Few-Shot Segmentation Propagation with Guided Networks ↗arXiv (Cornell University) · no summary yetKate Rakelly et al.2018 · 95 citations
14. Loss is its own Reward: Self-Supervision for Reinforcement Learning ↗arXiv (Cornell University) · no summary yetEvan Shelhamer et al.2016 · 95 citations
15. Back to the Source: Diffusion-Driven Adaptation to Test-Time Corruption ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetJin Gao et al.2023 · 72 citations
16. Object Discovery and Representation Networks ↗Lecture notes in computer science · no summary yetOlivier J. Hénaff et al.2022 · 53 citations
17. Scene Intrinsics and Depth from a Single Image ↗no summary yetEvan Shelhamer, Jonathan T. Barron, Trevor Jackson Darrell2015 · 49 citations
18. Fine-grained pose prediction, normalization, and recognition ↗arXiv (Cornell University) · no summary yetNing Zhang et al.2015 · 47 citations
19. Blurring the Line Between Structure and Learning to Optimize and Adapt Receptive Fields ↗arXiv (Cornell University) · no summary yetEvan Shelhamer, Dequan Wang, Trevor Jackson Darrell2019 · 20 citations
20. Back to the Source: Diffusion-Driven Test-Time Adaptation ↗arXiv (Cornell University) · no summary yetJin Gao et al.2022 · 16 citations
21. Exploring Simple and Transferable Recognition-Aware Image Processing ↗IEEE Transactions on Pattern Analysis and Machine Intelligence · no summary yetZhuang Liu et al.2019 · 14 citations
22. Fighting Gradients with Gradients: Dynamic Defenses against Adversarial Attacks ↗arXiv (Cornell University) · no summary yetDequan Wang et al.2021 · 9 citations
23. Anytime Dense Prediction with Confidence Adaptivity ↗arXiv (Cornell University) · no summary yetZhuang Liu et al.2021 · 8 citations
24. OlmoEarth: Stable Latent Image Modeling for Multimodal Earth Observation ↗arXiv (Cornell University) · no summary yetHenry Herzog et al.2025 · 4 citations
25. HiP: Hierarchical Perceiver ↗arXiv (Cornell University) · no summary yetJoão Carreira et al.2022 · 4 citations
26. Dynamic Scale Inference by Entropy Minimization ↗arXiv (Cornell University) · no summary yetDequan Wang et al.2019 · 4 citations
27. Earth Embeddings: Towards AI-centric Representations of our Planet ↗no summary yetKonstantin Klemmer et al.2025 · 3 citations
28. Meta-Learning to Guide Segmentation ↗no summary yetKate Rakelly et al.2018 · 3 citations
29. On-target Adaptation ↗arXiv (Cornell University) · no summary yetDequan Wang et al.2021 · 2 citations
30. Learning Rich Image Representation with Deep Layer Aggregation. ↗International Conference on Learning Representations · no summary yetFisher Yu et al.2018 · 2 citations
31. Efficient Receptive Field Learning by Dynamic Gaussian Structure ↗no summary yetEvan Shelhamer, Dequan Wang, Trevor Jackson Darrell2019 · 1 citation
32. Earth Embeddings: Toward artificial intelligence-centric representations of our planet ↗IEEE Geoscience and Remote Sensing Magazine · no summary yetKonstantin Klemmer et al.2026
33. Blurring Structure and Learning to Optimize and Adapt Receptive Fields ↗no summary yetEvan Shelhamer, Dequan Wang, Trevor Jackson Darrell2019
34. 意味論的セグメンテーションのための完全Convolutionalネットワーク【Powered by NICT】 ↗IEEE Transactions on Pattern Analysis and Machine Intelligence · no summary yetEvan Shelhamer, L Bradshaw Jonathan, Trevor Jackson Darrell2017
35. Communal Cuts: sharing cuts across images ↗no summary yetEvan Shelhamer, Stefanie Jegelka, Trevor Jackson Darrell2015

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