---
title: "Evan Shelhamer — all works — Elamur Research"
description: "All 35 works of Evan Shelhamer in the Elamur Research library, the most cited first: our summaries where we have them, else the original."
canonical: "https://research.elamur.ai/free/en/authors/evan-shelhamer/works/"
---
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# Evan Shelhamer — all works

35 works · [← Evan Shelhamer](https://md.research.elamur.ai/free/en/authors/evan-shelhamer/)

1. **[Fully convolutional networks for semantic segmentation ↗](https://doi.org/10.1109/cvpr.2015.7298965) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Jonathan Long, Evan Shelhamer, Trevor Jackson Darrell*2015 · 36,797 citations*
2. **[Fully Convolutional Networks for Semantic Segmentation ↗](https://doi.org/10.1109/tpami.2016.2572683) IEEE Transactions on Pattern Analysis and Machine Intelligence · no summary yet**Evan Shelhamer, Jonathan Long, Trevor Jackson Darrell*2016 · 11,507 citations*
3. **[Caffe ↗](https://doi.org/10.1145/2647868.2654889) ACM International Conference on Multimedia (ACM MM) · no summary yet**Yangqing Jia et al.*2014 · 10,940 citations*
4. [**Caffe: Convolutional Architecture for Fast Feature Embedding arXiv:1408.5093**Yangqing Jia, Evan Shelhamer, Jeff Donahue, et al.*2014 · 4,209 citations*](https://md.research.elamur.ai/free/en/papers/jia-2014-caffe-convolutional-architecture-fast-feature/)
5. **[Deep Layer Aggregation ↗](https://doi.org/10.1109/cvpr.2018.00255) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Fisher Yu et al.*2018 · 1,565 citations*
6. [**cuDNN: Efficient Primitives for Deep Learning arXiv 2014 (NVIDIA)**Sharan Chetlur, Cliff Woolley, Philippe Vandermersch, et al.*2014 · 1,240 citations*](https://md.research.elamur.ai/free/en/papers/chetlur-2014-cudnn-efficient-primitives-deep-learning/)
7. **[Tent: Fully Test-time Adaptation by Entropy Minimization ↗](https://arxiv.org/abs/2006.10726) arXiv (Cornell University) · no summary yet**Dequan Wang et al.*2020 · 351 citations*
8. **[Perceiver IO: A General Architecture for Structured Inputs & Outputs ↗](https://arxiv.org/abs/2107.14795) arXiv (Cornell University) · no summary yet**Andrew Jaegle et al.*2021 · 283 citations*
9. **[Fully Convolutional Multi-Class Multiple Instance Learning ↗](https://arxiv.org/abs/1412.7144) arXiv (Cornell University) · no summary yet**Deepak Pathak et al.*2014 · 242 citations*
10. **[Clockwork Convnets for Video Semantic Segmentation ↗](https://doi.org/10.1007/978-3-319-49409-8_69) Lecture notes in computer science · no summary yet**Evan Shelhamer et al.*2016 · 204 citations*
11. **[Zero-Shot Visual Imitation ↗](https://doi.org/10.1109/cvprw.2018.00278) IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) · no summary yet**Deepak Pathak et al.*2018 · 190 citations*
12. **[Conditional Networks for Few-Shot Semantic Segmentation ↗](https://openalex.org/W2902683551) International Conference on Learning Representations · no summary yet**Kate Rakelly et al.*2018 · 159 citations*
13. **[Few-Shot Segmentation Propagation with Guided Networks ↗](https://arxiv.org/abs/1806.07373) arXiv (Cornell University) · no summary yet**Kate Rakelly et al.*2018 · 95 citations*
14. **[Loss is its own Reward: Self-Supervision for Reinforcement Learning ↗](https://arxiv.org/abs/1612.07307) arXiv (Cornell University) · no summary yet**Evan Shelhamer et al.*2016 · 95 citations*
15. **[Back to the Source: Diffusion-Driven Adaptation to Test-Time Corruption ↗](https://doi.org/10.1109/cvpr52729.2023.01134) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Jin Gao et al.*2023 · 72 citations*
16. **[Object Discovery and Representation Networks ↗](https://doi.org/10.1007/978-3-031-19812-0_8) Lecture notes in computer science · no summary yet**Olivier J. Hénaff et al.*2022 · 53 citations*
17. **[Scene Intrinsics and Depth from a Single Image ↗](https://doi.org/10.1109/iccvw.2015.39) no summary yet**Evan Shelhamer, Jonathan T. Barron, Trevor Jackson Darrell*2015 · 49 citations*
18. **[Fine-grained pose prediction, normalization, and recognition ↗](https://arxiv.org/abs/1511.07063) arXiv (Cornell University) · no summary yet**Ning Zhang et al.*2015 · 47 citations*
19. **[Blurring the Line Between Structure and Learning to Optimize and Adapt Receptive Fields ↗](https://arxiv.org/abs/1904.11487) arXiv (Cornell University) · no summary yet**Evan Shelhamer, Dequan Wang, Trevor Jackson Darrell*2019 · 20 citations*
20. **[Back to the Source: Diffusion-Driven Test-Time Adaptation ↗](https://arxiv.org/abs/2207.03442) arXiv (Cornell University) · no summary yet**Jin Gao et al.*2022 · 16 citations*
21. **[Exploring Simple and Transferable Recognition-Aware Image Processing ↗](https://doi.org/10.1109/tpami.2022.3183243) IEEE Transactions on Pattern Analysis and Machine Intelligence · no summary yet**Zhuang Liu et al.*2019 · 14 citations*
22. **[Fighting Gradients with Gradients: Dynamic Defenses against Adversarial Attacks ↗](https://arxiv.org/abs/2105.08714) arXiv (Cornell University) · no summary yet**Dequan Wang et al.*2021 · 9 citations*
23. **[Anytime Dense Prediction with Confidence Adaptivity ↗](https://arxiv.org/abs/2104.00749) arXiv (Cornell University) · no summary yet**Zhuang Liu et al.*2021 · 8 citations*
24. **[OlmoEarth: Stable Latent Image Modeling for Multimodal Earth Observation ↗](https://arxiv.org/abs/2511.13655) arXiv (Cornell University) · no summary yet**Henry Herzog et al.*2025 · 4 citations*
25. **[HiP: Hierarchical Perceiver ↗](https://arxiv.org/abs/2202.10890) arXiv (Cornell University) · no summary yet**João Carreira et al.*2022 · 4 citations*
26. **[Dynamic Scale Inference by Entropy Minimization ↗](https://arxiv.org/abs/1908.03182) arXiv (Cornell University) · no summary yet**Dequan Wang et al.*2019 · 4 citations*
27. **[Earth Embeddings: Towards AI-centric Representations of our Planet ↗](https://doi.org/10.31223/x5hx9s) no summary yet**Konstantin Klemmer et al.*2025 · 3 citations*
28. **[Meta-Learning to Guide Segmentation ↗](https://openalex.org/W2906375655) no summary yet**Kate Rakelly et al.*2018 · 3 citations*
29. **[On-target Adaptation ↗](https://arxiv.org/abs/2109.01087) arXiv (Cornell University) · no summary yet**Dequan Wang et al.*2021 · 2 citations*
30. **[Learning Rich Image Representation with Deep Layer Aggregation. ↗](https://openalex.org/W2904054060) International Conference on Learning Representations · no summary yet**Fisher Yu et al.*2018 · 2 citations*
31. **[Efficient Receptive Field Learning by Dynamic Gaussian Structure ↗](https://openalex.org/W2953401485) no summary yet**Evan Shelhamer, Dequan Wang, Trevor Jackson Darrell*2019 · 1 citation*
32. **[Earth Embeddings: Toward artificial intelligence-centric representations of our planet ↗](https://doi.org/10.1109/mgrs.2026.3710416) IEEE Geoscience and Remote Sensing Magazine · no summary yet**Konstantin Klemmer et al.*2026*
33. **[Blurring Structure and Learning to Optimize and Adapt Receptive Fields ↗](https://openalex.org/W2997499352) no summary yet**Evan Shelhamer, Dequan Wang, Trevor Jackson Darrell*2019*
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】 ↗](https://openalex.org/W2749781607) IEEE Transactions on Pattern Analysis and Machine Intelligence · no summary yet**Evan Shelhamer, L Bradshaw Jonathan, Trevor Jackson Darrell*2017*
35. **[Communal Cuts: sharing cuts across images ↗](https://openalex.org/W7101225398) no summary yet**Evan Shelhamer, Stefanie Jegelka, Trevor Jackson Darrell*2015*