Changjiang Yang

Computer Vision and Pattern Recognition · 2003–2005

A researcher in the Science corpus: 3 papers; trusts 69 researchers and is trusted by 26 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 30 citations into it; #5,234 of 21,575 by trust here, #9,872 by citations
• Artificial Intelligence — 7 citations into it
• Media Technology — 6 citations into it; #1,339 of 3,621 by trust here, #2,479 by citations
• Probabilistic & Bayesian Methods — 5 citations into it
• Statistics and Probability — 5 citations into it

Whom Changjiang Yang trusts overall

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

1. Dorin Comaniciu
2. Gary R. Bradski
3. Shai Avidan
4. Robert T. Collins
5. Simon Baker
6. Emanuel Parzen
7. Paul A. Viola
8. David G. Lowe
9. Keinosuke Fukunaga
10. Leslie Greengard

Who trusts Changjiang Yang overall

1. L. V. D. van der Maaten
2. Xue Mei
3. Xue Bai
4. Subhransu Maji
5. Giovanna Menardi
6. Haibin Ling
7. Andrea Vedaldi
8. Tianzhu Zhang
9. Guillermo Sapiro
10. Chenyue Wu

Papers from Changjiang Yang's perspective

Ordered by how strongly the researchers Changjiang Yang 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. ImageNet: A large-scale hierarchical image database
5. Gradient-based learning applied to document recognition
6. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
7. ImageNet Large Scale Visual Recognition Challenge
8. Going deeper with convolutions
9. Long Short-Term Memory
10. Distinctive Image Features from Scale-Invariant Keypoints

Their papers

• Improved fast gauss transform and efficient kernel density estimation (2003) — 527 citations
• Fast multiple object tracking via a hierarchical particle filter (2005) — 412 citations
• Efficient mean-shift tracking via a new similarity measure (2005) — 375 citations