Lei Han

Computer Vision and Pattern Recognition · with Fang · 2019–2020

A researcher in the Science corpus: 2 papers; trusts 457 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 84 citations into it
• Artificial Intelligence — 26 citations into it
• Computational Mechanics — 16 citations into it
• Aerospace Engineering — 15 citations into it
• Model Architectures — 14 citations into it
• Geology — 13 citations into it
• 3D Vision & Pose — 10 citations into it
• Computer Graphics and Computer-Aided Design — 5 citations into it

Whom Lei Han trusts overall

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

1. Ross B. Girshick
2. Kaiming He
3. Geoffrey E. Hinton
4. Alex Krizhevsky
5. Charles Ruizhongtai Qi
6. Yann LeCun
7. Pedro F. Felzenszwalb
8. Benjamin Graham
9. Yoshua Bengio
10. Diederik P. Kingma

Who trusts Lei Han overall

1. Jonas Schult
2. Xinge Zhu
3. Francis Engelmann

Papers from Lei Han's perspective

Ordered by how strongly the researchers Lei Han 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. Long Short-Term Memory
6. Attention is All you Need (Neural Information Processing Systems)
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

• OccuSeg: Occupancy-Aware 3D Instance Segmentation (2020) — 301 citations
• GFF: Gated Fully Fusion for Semantic Segmentation (2019) — 238 citations