Huang Chang

Computer Vision and Pattern Recognition · 2005

A researcher in the Science corpus: 1 paper; trusts 13 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 6 citations into it; #9,634 of 21,575 by trust here, #13,815 by citations

Whom Huang Chang trusts overall

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

1. Bernhard Schölkopf
2. Ming-Hsuan Yang
3. Sam T. Roweis
4. Mikhail Belkin
5. Partha Niyogi
6. Matthew A. Turk
7. Xiaofei He
8. Josh Tenenbaum
9. Peter N. Belhumeur
10. Alex Smola

Who trusts Huang Chang overall

1. Meng Yang
2. Yun Fu
3. Lei Zhang
4. Deng Cai
5. Yen-Yu Lin
6. Thomas S. Huang
7. Ying Li
8. Huan Wang

Papers from Huang Chang's perspective

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

Their papers

• Local discriminant embedding and its variants (2005) — 625 citations