J. P. Lewis

Computer Vision and Pattern Recognition · 2007–2008

A researcher in the Science corpus: 2 papers; trusts 24 researchers and is trusted by 376 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 31 citations into it; #2,108 of 21,575 by trust here, #4,048 by citations

Whom J. P. Lewis trusts overall

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

1. Daniel Scharstein
2. Thomas Brox
3. Michael J. Black
4. Simon Baker
5. Richard Szeliski
6. Allan D. Jepson
7. William T. Freeman
8. Joachim Weickert
9. Martin J. Wainwright
10. Geoffrey E. Hinton

Who trusts J. P. Lewis overall

1. Deqing Sun
2. Simon Niklaus
3. Michael J. Black
4. Ce Liu
5. Thomas Brox
6. Stefan Roth
7. Philipp Krahenbuhl
8. Feng Liu
9. Anurag Ranjan
10. Jonas Wulff

Papers from J. P. Lewis's perspective

Ordered by how strongly the researchers J. P. Lewis 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Gradient-based learning applied to document recognition
5. ImageNet: A large-scale hierarchical image database
6. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. ImageNet Large Scale Visual Recognition Challenge
10. Going deeper with convolutions

Their papers

• A Database and Evaluation Methodology for Optical Flow (2007) — 2,924 citations
• Learning Optical Flow (2008) — 302 citations