Bin Sun

Computer Vision and Pattern Recognition · with Li · 2021

A researcher in the Science corpus: 1 paper; trusts 120 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 32 citations into it
• Experimental and Cognitive Psychology — 14 citations into it
• Artificial Intelligence — 12 citations into it
• Model Architectures — 9 citations into it

Whom Bin Sun trusts overall

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

1. Diederik P. Kingma
2. Kaiming He
3. Geoffrey E. Hinton
4. Yichuan Tang
5. Alex Krizhevsky
6. Yann LeCun
7. Jimmy Ba
8. Yoshua Bengio
9. Shan Li
10. Kai-Hong Wang

Papers from Bin Sun's perspective

Ordered by how strongly the researchers Bin Sun 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. Attention is All you Need (Neural Information Processing Systems)
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. ImageNet: A large-scale hierarchical image database
6. Gradient-based learning applied to document recognition
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. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Facial Expression Recognition With Visual Transformers and Attentional Selective Fusion (2021) — 308 citations