Kai-Hong Wang

Computer Vision and Pattern Recognition · 2016–2020

A researcher in the Science corpus: 4 papers; trusts 387 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 107 citations into it; #12,609 of 21,575 by trust here, #15,529 by citations
• Experimental and Cognitive Psychology — 28 citations into it; #4,316 of 9,731 by trust here, #6,168 by citations
• Artificial Intelligence — 25 citations into it
• Signal Processing — 15 citations into it
• Model Architectures — 13 citations into it
• Aerospace Engineering — 8 citations into it
• Information Retrieval & Search — 8 citations into it
• Media Technology — 6 citations into it

Whom Kai-Hong Wang trusts overall

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

1. Kaiming He
2. Geoffrey E. Hinton
3. Karen Simonyan
4. Alex Krizhevsky
5. Navneet Dalal
6. Andrew Zisserman
7. Yoshua Bengio
8. Volodymyr Mnih
9. David G. Lowe
10. Yann LeCun

Who trusts Kai-Hong Wang overall

1. Fuyan Ma
2. Zengqun Zhao
3. Qingshan Liu
4. Bin Sun
5. Shutao Li
6. Feng Zhou
7. Fanglei Xue

Papers from Kai-Hong Wang's perspective

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

Their papers

• Suppressing Uncertainties for Large-Scale Facial Expression Recognition (2020) — 634 citations
• Region Attention Networks for Pose and Occlusion Robust Facial Expression Recognition (2019) — 813 citations
• Dynamic Match Kernel With Deep Convolutional Features for Image Retrieval (2018) — 35 citations
• The prevalence of EGFR mutation in patients with non-small cell lung cancer: a systematic review and meta-analysis (2016) — 768 citations