Jianfei Yang

Computer Vision and Pattern Recognition · 2019–2020

A researcher in the Science corpus: 4 papers; trusts 378 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 191 citations into it; #10,427 of 21,575 by trust here, #12,689 by citations
• Artificial Intelligence — 46 citations into it
• Experimental and Cognitive Psychology — 28 citations into it; #4,315 of 9,731 by trust here, #6,168 by citations
• Media Technology — 27 citations into it
• Model Architectures — 25 citations into it
• Signal Processing — 22 citations into it
• Evaluation & Benchmarks — 13 citations into it
• Optimization & Training — 13 citations into it

Whom Jianfei Yang trusts overall

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

1. Kaiming He
2. Yann LeCun
3. Geoffrey E. Hinton
4. Alex Krizhevsky
5. Karen Simonyan
6. Navneet Dalal
7. Yoshua Bengio
8. Christian Szegedy
9. Ross B. Girshick
10. Ilya Sutskever

Who trusts Jianfei Yang overall

1. Chen Wang
2. Fuyan Ma
3. Zengqun Zhao

Papers from Jianfei Yang's perspective

Ordered by how strongly the researchers Jianfei Yang 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. ImageNet: A large-scale hierarchical image database
6. Attention is All you Need (Neural Information Processing Systems)
7. Long Short-Term Memory
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. Going deeper with convolutions
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Advancing Image Understanding in Poor Visibility Environments: A Collective Benchmark Study (2019) — 337 citations
• Suppressing Uncertainties for Large-Scale Facial Expression Recognition (2020) — 634 citations
• Kervolutional Neural Networks (2019) — 71 citations
• Region Attention Networks for Pose and Occlusion Robust Facial Expression Recognition (2019) — 813 citations