Hanchao Li

Computer Vision and Pattern Recognition · 2018–2019

A researcher in the Science corpus: 2 papers; trusts 463 researchers and is trusted by 10 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 62 citations into it; #9,965 of 21,575 by trust here, #8,952 by citations
• Artificial Intelligence — 30 citations into it; #21,644 of 35,345 by trust here, #21,878 by citations
• Model Architectures — 13 citations into it

Whom Hanchao Li trusts overall

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

1. Kaiming He
2. Liang-Chieh Chen
3. Alex Krizhevsky
4. Geoffrey E. Hinton
5. Ross B. Girshick
6. X. Zhang
7. Yoshua Bengio
8. Yann LeCun
9. Shaoqing Ren
10. Karen Simonyan

Who trusts Hanchao Li overall

1. Yimian Dai
2. Jiacong Xu
3. Yuval Nirkin
4. Yiquan Wu
5. Huihui Pan
6. Changqian Yu
7. F. Sultana
8. Andrew Tao
9. Golnaz Ghiasi
10. Xu Peng

Papers from Hanchao Li's perspective

Ordered by how strongly the researchers Hanchao Li 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. 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. ImageNet Large Scale Visual Recognition Challenge
10. Going deeper with convolutions

Their papers

• Pyramid Attention Network for Semantic Segmentation (2018) — 1,011 citations
• DFANet: Deep Feature Aggregation for Real-Time Semantic Segmentation (2019) — 676 citations