Yu-Gang Jiang

Computer Vision and Pattern Recognition · with Gorban · 2016

A researcher in the Science corpus: 1 paper; trusts 27 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 39 citations into it; #20,406 of 21,575 by trust here, #10,334 by citations

Whom Yu-Gang Jiang trusts overall

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

1. Karen Simonyan
2. Andrew Zisserman
3. Matthew D. Zeiler
4. Rob Fergus
5. Geoffrey E. Hinton
6. Cordelia Schmid
7. Christian Szegedy
8. Alex Krizhevsky

Who trusts Yu-Gang Jiang overall

1. Junting Pan

Papers from Yu-Gang Jiang's perspective

Ordered by how strongly the researchers Yu-Gang Jiang trusts endorse each paper. Same corpus, a different order for every researcher.

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

Their papers

• The THUMOS challenge on action recognition for videos "in the wild" (2016) — 902 citations