--- title: "Evan Shelhamer — author profile and papers in our library" description: "Evan Shelhamer, University of British Columbia: 2 papers on Elamur Research (2014), h-index 22 — affiliations, topics, co-authors and who…" canonical: "https://research.elamur.ai/free/en/authors/evan-shelhamer/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/evan-shelhamer/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Evan Shelhamer # Evan Shelhamer Evan Shelhamer has 2 papers in our library, in 2014; often with [Bryan Catanzaro](https://md.research.elamur.ai/free/en/authors/bryan-catanzaro/), [Jeff Donahue](https://md.research.elamur.ai/free/en/authors/jeff-donahue/), [Jonathan Cohen](https://md.research.elamur.ai/free/en/authors/jonathan-cohen/). 2 papers in our library · 2014 [OpenAlex](https://openalex.org/A5023786468) · [ORCID](https://orcid.org/0000-0002-5228-3095) · [**h-index 22**](https://openalex.org/authors/A5023786468) · [76 works](https://openalex.org/works?filter=author.id:A5023786468) · [69,231 citations](https://openalex.org/works?filter=author.id:A5023786468&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/evan-shelhamer/#papers) · [🔗 Cited 1,602 times in our library](https://md.research.elamur.ai/free/en/authors/evan-shelhamer/cited-by/) · [33 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #650](https://md.research.elamur.ai/free/en/paper-stars/page/7/#star-650) The profile is the library's match of the name; two people with one name are not always told apart. Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=Evan+Shelhamer) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Evan+Shelhamer) · [dblp](https://dblp.org/search?q=Evan+Shelhamer) · [ACL Anthology](https://aclanthology.org/search/?q=Evan+Shelhamer) ## Affiliations [🔬**Vector Institute** Toronto · Canada 2025–2026 · 10 papersEmployment since 2025 · Faculty Member and CIFAR AI Chair*current*](https://md.research.elamur.ai/free/en/labs/vector-institute/) · [🎓**University of British Columbia** Vancouver · Canada 2025–2026 · 8 papersEmployment since 2025 · Assistant Professor, Computer Science*current*](https://md.research.elamur.ai/free/en/universities/university-of-british-columbia/) · [🎓**Carleton University** Ottawa · Canada 2025–2026 · 3 papers*current*](https://md.research.elamur.ai/free/en/universities/carleton-university/) · [🎓**University of California, Berkeley** Berkeley · United States 2012–2022 · 21 papersEducation 2012–2019 · PhD, Computer Science](https://md.research.elamur.ai/free/en/universities/university-of-california-berkeley/) · [🏢**Google DeepMind** London · United Kingdom 2021–2023 · 5 papersEmployment 2021–2023](https://md.research.elamur.ai/free/en/companies/google-deepmind/) · [🏢**Adobe Systems** San Jose · United States 2020–2021 · 3 papers](https://md.research.elamur.ai/free/en/companies/adobe-systems/) 🏛️**Google DeepMind** San Francisco · [United States](https://md.research.elamur.ai/free/en/countries/united-states/) 2023–2025Employment 2023–2025 🏛️**Adobe Research** Cambridge · [United States](https://md.research.elamur.ai/free/en/countries/united-states/) 2019–2020Employment 2019–2020 From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 2 more institutions on single bylines are not listed. ## Fields, topics and concepts Of its works in our library, with the number of works on each. 📚 Shelves 4 The field of science this work belongs to (OpenAlex fields).[Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Computer Vision and Pattern Recognition · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Hardware and Architecture · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/hardware-and-architecture/) ## Works by year ### 2010s [**2014** 2 papers](https://md.research.elamur.ai/free/en/authors/evan-shelhamer/year/2014/) ## Papers The most cited first (OpenAlex and our library). 1. **[Caffe: Convolutional Architecture for Fast Feature Embedding](https://md.research.elamur.ai/free/en/papers/jia-2014-caffe-convolutional-architecture-fast-feature/)** *(2014 · 4,209 citations)* Deep convolutional networks had overtaken handcrafted features in visual recognition. Yet reproducing published results often took months, and few toolkits offered fast, ready-to-deploy models. The BVLC team at UC Berkeley presents Caffe, an open-source, BSD-licensed C++ library with CUDA support and Python and… 2. **[cuDNN: Efficient Primitives for Deep Learning](https://md.research.elamur.ai/free/en/papers/chetlur-2014-cudnn-efficient-primitives-deep-learning/)** *(2014 · 1,240 citations)* Deep learning frameworks such as Caffe, Theano and Torch7 each maintained hand-tuned GPU kernels for convolution, pooling and activations. ## All works 35 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them. 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* [See all 35 works by Evan Shelhamer →](https://md.research.elamur.ai/free/en/authors/evan-shelhamer/works/) ## Co-authors here 7 co-authors with a page, the most papers together first. - [Bryan Catanzaro](https://md.research.elamur.ai/free/en/authors/bryan-catanzaro/) - [Jeff Donahue](https://md.research.elamur.ai/free/en/authors/jeff-donahue/) - [Jonathan Cohen](https://md.research.elamur.ai/free/en/authors/jonathan-cohen/) - [Ross Girshick](https://md.research.elamur.ai/free/en/authors/ross-girshick/) - [Sergio Guadarrama](https://md.research.elamur.ai/free/en/authors/sergio-guadarrama/) - [Trevor Jackson Darrell](https://md.research.elamur.ai/free/en/authors/trevor-jackson-darrell/) - [Yangqing Jia](https://md.research.elamur.ai/free/en/authors/yangqing-jia/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings ×3 - IEEE Transactions on Pattern Analysis and Machine Intelligence ×3 - International Conference on Learning Representations ×2 - Lecture notes in computer science ×2 - ACM International Conference on Multimedia (ACM MM) - IEEE Geoscience and Remote Sensing Magazine - IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) ## Cited by Papers of our library cite their works 1,602 times (of the 149,439 papers whose bibliographies we read); [75 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/evan-shelhamer/cited-by/). Updated 2 November 2026