Xun Yang

Computer Vision and Pattern Recognition · 2017–2020

A researcher in the Science corpus: 3 papers; trusts 292 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 90 citations into it; #14,541 of 21,575 by trust here, #14,822 by citations
• Artificial Intelligence — 32 citations into it; #26,338 of 35,345 by trust here, #31,361 by citations

Whom Xun Yang trusts overall

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

1. Kaiming He
2. Shengcai Liao
3. Geoffrey E. Hinton
4. Alex Krizhevsky
5. Diederik P. Kingma
6. Rui Zhao
7. Ross B. Girshick
8. Masashi Sugiyama
9. Yoshua Bengio
10. Yann LeCun

Who trusts Xun Yang overall

1. Zhedong Zheng
2. Liang Zheng
3. Yi Yang
4. Junbin Xiao

Papers from Xun Yang's perspective

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

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
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. Long Short-Term Memory
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. Going deeper with convolutions
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Annotating Objects and Relations in User-Generated Videos (2019) — 213 citations
• Enhancing Person Re-identification in a Self-Trained Subspace (2017) — 86 citations
• Visual Relation Grounding in Videos (2020) — 45 citations