Shu-Fai Wong

Computer Vision and Pattern Recognition · 2007

A researcher in the Science corpus: 2 papers; trusts 219 researchers and is trusted by 32 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 26 citations into it; #4,793 of 21,575 by trust here, #7,657 by citations
• Artificial Intelligence — 11 citations into it

Whom Shu-Fai Wong trusts overall

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

1. Ivan Laptev
2. Eli Shechtman
3. Thomas Hofmann
4. Piotr Doll'ar
5. Alexei A. Efros
6. Christian Schüldt
7. Geoffrey E. Hinton
8. Andrew Zisserman
9. Kaiming He
10. Alex Krizhevsky

Who trusts Shu-Fai Wong overall

1. Jake K. Aggarwal
2. Michael S. Ryoo
3. Jaeyong Sung
4. Mubarak Shah
5. Jingen Liu
6. Tae-Kyun Kim
7. Yu Kong
8. Sarvesh Vishwakarma
9. Zhang Zhang
10. Kishore K. Reddy

Papers from Shu-Fai Wong's perspective

Ordered by how strongly the researchers Shu-Fai Wong 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. Long Short-Term Memory
5. ImageNet: A large-scale hierarchical image database
6. Gradient-based learning applied to document recognition
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

• Learning Motion Categories using both Semantic and Structural Information (2007) — 239 citations
• Tensor Canonical Correlation Analysis for Action Classification (2007) — 364 citations