Tai Sing Lee

Computer Vision and Pattern Recognition · 2003–2017

A researcher in the Science corpus: 3 papers; trusts 219 researchers and is trusted by 42 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 44 citations into it; #16,590 of 21,575 by trust here, #20,271 by citations
• Cognitive Neuroscience — 32 citations into it; #716 of 10,852 by trust here, #1,573 by citations
• Artificial Intelligence — 21 citations into it
• Representation & Self-Supervised Learning — 16 citations into it
• Neuroscience — 12 citations into it
• Probabilistic & Bayesian Methods — 10 citations into it
• Cellular and Molecular Neuroscience — 6 citations into it
• Cognitive Science & Psychology — 5 citations into it

Whom Tai Sing Lee trusts overall

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

1. Geoffrey E. Hinton
2. Yann LeCun
3. David Mumford
4. Yoshua Bengio
5. Alex Krizhevsky
6. H. Barlow
7. James L. McClelland
8. Terrence J. Sejnowski
9. Radford M. Neal
10. David E. Rumelhart

Who trusts Tai Sing Lee overall

1. Karl J. Friston
2. Nikolaus Kriegeskorte
3. David J. Heeger
4. Ling Shao
5. Li Liu
6. Geoffrey E. Hinton
7. Anil K. Seth
8. Yoshua Bengio
9. Ming Liang
10. Dileep George

Papers from Tai Sing Lee's perspective

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

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

Their papers

• Transfer of View-manifold Learning to Similarity Perception of Novel Objects (2017) — 13 citations
• The Visual System's Internal Model of the World (2015) — 30 citations
• Hierarchical Bayesian inference in the visual cortex. (2003) — 1,593 citations