Hehe Fan

Computer Vision and Pattern Recognition · 2017–2018

A researcher in the Science corpus: 2 papers; trusts 360 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 64 citations into it; #16,291 of 21,575 by trust here, #10,010 by citations
• Artificial Intelligence — 16 citations into it
• Biomedical Engineering — 15 citations into it; #6,748 of 10,734 by trust here, #6,455 by citations
• Model Architectures — 6 citations into it

Whom Hehe Fan trusts overall

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

1. Alex Krizhevsky
2. Kaiming He
3. Liang Zheng
4. Karen Simonyan
5. Geoffrey E. Hinton
6. Yoshua Bengio
7. Ilya Sutskever
8. Ross B. Girshick
9. Andrew Zisserman
10. Yann LeCun

Who trusts Hehe Fan overall

1. Dongkai Wang
2. Yue Meng
3. Rameswar Panda
4. Yixiao Ge
5. Liang Zheng
6. Mang Ye
7. Zuozhuo Dai
8. Yutian Lin
9. Xin Jin
10. Jufeng Yang

Papers from Hehe Fan's perspective

Ordered by how strongly the researchers Hehe Fan 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. Long Short-Term Memory
6. Gradient-based learning applied to document recognition
7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
8. Attention is All you Need (Neural Information Processing Systems)
9. ImageNet Large Scale Visual Recognition Challenge
10. Going deeper with convolutions

Their papers

• Watching a Small Portion could be as Good as Watching All: Towards Efficient Video Classification (2018) — 85 citations
• Unsupervised Person Re-identification (2017) — 508 citations