Tom Duerig
Computer Vision and Pattern Recognition · 2015–2025
A researcher in the Science corpus: 7 papers; trusts 497 researchers and is trusted by 186 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 243 citations into it; #2,756 of 21,575 by trust here, #1,342 by citations
- Artificial Intelligence — 171 citations into it; #25,064 of 35,345 by trust here, #2,278 by citations
- Representation & Self-Supervised Learning — 62 citations into it
- Evaluation & Benchmarks — 47 citations into it
- Model Architectures — 32 citations into it
- Optimization & Training — 24 citations into it
- Natural Language Processing — 18 citations into it
Whom Tom Duerig trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alex Krizhevsky
- Geoffrey E. Hinton
- Christian Szegedy
- Yoshua Bengio
- Kaiming He
- Yann LeCun
- Sergey Ioffe
- Ross B. Girshick
- Ilya Sutskever
- Jia Deng
Who trusts Tom Duerig overall
- Luc Van Gool
- Yi Yang
- Trevor Darrell
- Ming-Hsuan Yang
- Andrew Zisserman
- Chen Change Loy
- Xiaogang Wang
- Dacheng Tao
- Cordelia Schmid
- Chunhua Shen
Papers from Tom Duerig's perspective
Ordered by how strongly the researchers Tom Duerig trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet Large Scale Visual Recognition Challenge
- Going deeper with convolutions
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
Their papers
- Scaling Up Visual and Vision-Language Representation Learning With Noisy Text Supervision (2021) — 5,764 citations
- The Open Images Dataset V4 (2018) — 1,627 citations
- The Unreasonable Effectiveness of Noisy Data for Fine-Grained Recognition (2015) — 374 citations
- Graph-RISE: Graph-Regularized Image Semantic Embedding (2019) — 43 citations
- Ultra Fine-Grained Image Semantic Embedding (2020) — 23 citations
- Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities (2025) — 3,609 citations
- Blockout: Dynamic Model Selection for Hierarchical Deep Networks (2015) — 52 citations