Russ Webb

Computer Vision and Pattern Recognition · 2016–2021

A researcher in the Science corpus: 2 papers; trusts 102 researchers and is trusted by 23 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 62 citations into it; #6,321 of 21,575 by trust here, #3,166 by citations
• Artificial Intelligence — 26 citations into it; #10,733 of 35,345 by trust here, #4,170 by citations
• Representation & Self-Supervised Learning — 13 citations into it
• Optimization & Training — 6 citations into it

Whom Russ Webb trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Alex Krizhevsky
2. Kaiming He
3. Geoffrey E. Hinton
4. Yann LeCun
5. Simon Kornblith
6. Ross B. Girshick
7. Yoshua Bengio
8. Diederik P. Kingma
9. Jia Deng
10. Ilya Sutskever

Who trusts Russ Webb overall

1. Yuezun Li

Papers from Russ Webb's perspective

Ordered by how strongly the researchers Russ Webb trusts endorse each paper. Same corpus, a different order for every researcher.

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. ImageNet: A large-scale hierarchical image database
4. ImageNet Large Scale Visual Recognition Challenge
5. Learning Multiple Layers of Features from Tiny Images
6. Gradient-based learning applied to document recognition
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. GENERATIVE ADVERSARIAL NETS
9. Attention is All you Need (Neural Information Processing Systems)
10. Long Short-Term Memory

Their papers

• Learning from Simulated and Unsupervised Images through Adversarial Training (2016) — 1,905 citations
• Do Self-Supervised and Supervised Methods Learn Similar Visual Representations? (2021) — 31 citations