Fan Yang

Computer Vision and Pattern Recognition · with Davis · 2015–2018

A researcher in the Science corpus: 3 papers; trusts 523 researchers and is trusted by 10 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 91 citations into it; #9,766 of 21,575 by trust here, #8,831 by citations
• Artificial Intelligence — 29 citations into it; #28,518 of 35,345 by trust here, #21,316 by citations
• Representation & Self-Supervised Learning — 16 citations into it; #2,881 of 3,145 by trust here, #2,957 by citations
• Media Technology — 9 citations into it
• Computational Mechanics — 8 citations into it
• Aerospace Engineering — 5 citations into it

Whom Fan Yang trusts overall

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

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

Who trusts Fan Yang overall

1. Liang Zheng
2. Chi Su
3. Wieland Brendel
4. Yu Zhang
5. Kimmo Kärkkäinen
6. Ali Sharif Razavian
7. Filip Radenovic
8. Shiliang Zhang
9. Spyros Gidaris
10. Jingya Wang

Papers from Fan Yang's perspective

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

Their papers

• Exploiting local features from deep networks for image retrieval (2015) — 424 citations
• Multi-Task Learning with Low Rank Attribute Embedding for Person Re-Identification (2015) — 190 citations
• Multi-Task Learning with Low Rank Attribute Embedding for Multi-Camera Person Re-Identification (2018) — 73 citations