Kan Wang

Computer Vision and Pattern Recognition · with Ding · 2020

A researcher in the Science corpus: 1 paper; trusts 141 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 54 citations into it
• Artificial Intelligence — 13 citations into it
• Biomedical Engineering — 13 citations into it
• Model Architectures — 6 citations into it
• Optimization & Training — 5 citations into it

Whom Kan Wang trusts overall

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

1. Geoffrey E. Hinton
2. Liang Zheng
3. Sergey Ioffe
4. Kaiming He
5. Alex Krizhevsky
6. Ross B. Girshick
7. Christian Szegedy
8. Zhun Zhong
9. Pedro F. Felzenszwalb
10. Ilya Sutskever

Papers from Kan Wang's perspective

Ordered by how strongly the researchers Kan Wang 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. ImageNet: A large-scale hierarchical image database
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. Gradient-based learning applied to document recognition
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

• Batch Coherence-Driven Network for Part-Aware Person Re-Identification (2020) — 25 citations