---
title: "Rob Fergus — all works — Elamur Research"
description: "All 34 works of Rob Fergus 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/rob-fergus/works/"
---
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# Rob Fergus — all works

34 works · [← Rob Fergus](https://md.research.elamur.ai/free/en/authors/rob-fergus/)

1. [**Intriguing properties of neural networks arXiv:1312.6199**Christian Szegedy, Wojciech Zaremba, Ilya Sutskever, et al.*2013 · 5,999 citations*](https://md.research.elamur.ai/free/en/papers/szegedy-2013-intriguing-properties-neural-networks/)
2. **[Object class recognition by unsupervised scale-invariant learning ↗](https://doi.org/10.1109/cvpr.2003.1211479) 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**Rob Fergus, Pietro Perona, Andrew Zisserman*2,029 citations*
3. **[Deep Generative Image Models using a Laplacian Pyramid of Adversarial Networks ↗](https://arxiv.org/abs/1506.05751) arXiv (Cornell University) · no summary yet**Emily Denton et al.*2015 · 1,626 citations*
4. **[OverFeat: Integrated Recognition, Localization and Detection using Convolutional Networks ↗](https://arxiv.org/abs/1312.6229) arXiv:1312.6229 · no summary yet**Pierre Sermanet et al.*2013 · 1,423 citations*
5. **[Exploiting Linear Structure Within Convolutional Networks for Efficient Evaluation ↗](https://arxiv.org/abs/1404.0736) arXiv (Cornell University) · no summary yet**Emily Denton et al.*2014 · 1,388 citations*
6. [**Visualizing and Understanding Convolutional Networks arXiv:1311.2901**Matthew D Zeiler, Rob Fergus*2013 · 771 citations*](https://md.research.elamur.ai/free/en/papers/zeiler-2013-visualizing-understanding-convolutional-networks/)
7. **[Learning object categories from Google's image search ↗](https://doi.org/10.1109/iccv.2005.142) no summary yet**Rob Fergus et al.*2005 · 711 citations*
8. **[Learning invariant features through topographic filter maps ↗](https://doi.org/10.1109/cvpr.2009.5206545) 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**Koray Kavukcuoglu et al.*2009 · 281 citations*
9. **[A Sparse Object Category Model for Efficient Learning and Exhaustive Recognition ↗](https://doi.org/10.1109/cvpr.2005.47) 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**Rob Fergus, Pietro Perona, Andrew Zisserman*2005 · 266 citations*
10. **[A Visual Category Filter for Google Images ↗](https://doi.org/10.1007/978-3-540-24670-1_19) Lecture notes in computer science · no summary yet**Robert Fergus, Pietro Perona, Andrew Zisserman*2004 · 259 citations*
11. **[Cambrian-1: A Fully Open, Vision-Centric Exploration of Multimodal LLMs](https://md.research.elamur.ai/free/en/papers/tong-2024-cambrian-1-fully-open-vision/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Shengbang Tong, Ellis Brown, Penghao Wu, et al.*2024 · 208 citations*
12. **[Weakly Supervised Scale-Invariant Learning of Models for Visual Recognition ↗](https://doi.org/10.1007/s11263-006-8707-x) International Journal of Computer Vision · no summary yet**Rob Fergus, Pietro Perona, Andrew Zisserman*2006 · 199 citations*
13. **[Learning Object Categories From Internet Image Searches ↗](https://doi.org/10.1109/jproc.2010.2048990) Proceedings of the IEEE · no summary yet**Rob Fergus et al.*2010 · 87 citations*
14. **[Web scale photo hash clustering on a single machine ↗](https://doi.org/10.1109/cvpr.2015.7298596) 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**Yunchao Gong et al.*2015 · 84 citations*
15. **[Learning by Asking Questions ↗](https://arxiv.org/abs/1712.01238) arXiv:1712.01238 · no summary yet**Ishan Misra et al.*2017 · 75 citations*
16. **[Deep neural networks predict category typicality ratings for images ↗](https://openalex.org/W2404596811) no summary yet**Brenden M. Lake et al.*2015 · 57 citations*
17. **[MazeBase: A Sandbox for Learning from Games ↗](https://arxiv.org/abs/1511.07401) arXiv (Cornell University) · no summary yet**Sainbayar Sukhbaatar et al.*2015 · 49 citations*
18. **[Finding Generalizable Evidence by Learning to Convince Q&A Models](https://md.research.elamur.ai/free/en/papers/perez-2019-finding-generalizable-evidence-learning-convince/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Ethan Perez, Siddharth Karamcheti, Rob Fergus, et al.*2019 · 43 citations*
19. **[Learning to Discover Efficient Mathematical Identities ↗](https://arxiv.org/abs/1406.1584) arXiv (Cornell University) · no summary yet**Wojciech Zaremba, Karol Kurach, Rob Fergus*2014 · 42 citations*
20. **[Learning Simple Algorithms from Examples ↗](https://arxiv.org/abs/1511.07275) arXiv (Cornell University) · no summary yet**Wojciech Zaremba et al.*2015 · 41 citations*
21. **[Collaborating with language models for embodied reasoning ↗](https://arxiv.org/abs/2302.00763) arXiv:2302.00763 · no summary yet**Ishita Dasgupta et al.*2023 · 36 citations*
22. **[A Sparse Object Category Model for Efficient Learning and Complete Recognition ↗](https://doi.org/10.1007/11957959_23) Lecture notes in computer science · no summary yet**Rob Fergus, Pietro Perona, Andrew Zisserman*2006 · 35 citations*
23. **[Cambrian-S: Towards Spatial Supersensing in Video ↗](https://arxiv.org/abs/2511.04670) arXiv (Cornell University) · no summary yet**Shusheng Yang et al.*2025 · 11 citations*
24. **[Scaling Text-to-Image Diffusion Transformers with Representation Autoencoders ↗](https://arxiv.org/abs/2601.16208) arXiv (Cornell University) · no summary yet**Shengbang Tong et al.*2026 · 9 citations*
25. **[Distilling Internet-Scale Vision-Language Models into Embodied Agents ↗](https://arxiv.org/abs/2301.12507) arXiv:2301.12507 · no summary yet**Theodore Sumers et al.*2023 · 9 citations*
26. **[Beyond Language Modeling: An Exploration of Multimodal Pretraining ↗](https://arxiv.org/abs/2603.03276) arXiv (Cornell University) · no summary yet**Shengbang Tong et al.*2026 · 6 citations*
27. **[SIMS-V: Simulated Instruction-Tuning for Spatial Video Understanding ↗](https://arxiv.org/abs/2511.04668) arXiv (Cornell University) · no summary yet**Ellis Brown et al.*2025 · 6 citations*
28. **[Benchmark Designers Should "Train on the Test Set" to Expose Exploitable Non-Visual Shortcuts ↗](https://arxiv.org/abs/2511.04655) arXiv (Cornell University) · no summary yet**Ellis Brown et al.*2025 · 5 citations*
29. **[Thinking Before Thinking: Scaling Agentic Inference Through Meta-Reasoning ↗](https://arxiv.org/abs/2609.38147) arXiv (Cornell University) · no summary yet**Paras Dahal et al.*2026*
30. **[PaintBench: Deterministic Evaluation of Precise Visual Editing ↗](https://arxiv.org/abs/2606.00188) arXiv (Cornell University) · no summary yet**Xu, Kai et al.*2026*
31. **[GitSwarm: Decentralized Compounding Inference ↗](https://arxiv.org/abs/2610.04862) arXiv (Cornell University) · no summary yet**Vedant Shah et al.*2026*
32. **[Exploiting linear structure within convolutional networks for efficient evaluation,” arXiv:1404.0736 ↗](https://openalex.org/W7098700524) no summary yet**Emily Denton et al.*2014*
33. **[Learning Object Categories From Internet Image Searches This paper shows how the results returned by an image search engine can be used to construct models from Internet images and use them for object recognition. ↗](https://openalex.org/W2188365053) no summary yet**Rob Fergus, Pietro Perona, Andrew Zisserman*2010*
34. **[A Sparse Object Category Model for Efficient Learning \nand Exhaustive Recognition ↗](https://openalex.org/W7015469331) CaltechAUTHORS (California Institute of Technology) · no summary yet**Robert Fergus, Pietro Perona, Andrew Zisserman*2005*