Fei Yan

Computer Vision and Pattern Recognition · with Kittler · 2012–2015

A researcher in the Science corpus: 2 papers; trusts 290 researchers and is trusted by 47 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 44 citations into it; #4,350 of 21,575 by trust here, #10,010 by citations
• Artificial Intelligence — 34 citations into it; #17,424 of 35,345 by trust here, #25,040 by citations
• Multimodal Learning — 21 citations into it; #176 of 1,211 by trust here, #770 by citations
• Natural Language Processing — 18 citations into it
• Evaluation & Benchmarks — 13 citations into it
• Information Systems — 5 citations into it

Whom Fei Yan trusts overall

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

1. Alex Krizhevsky
2. Geoffrey E. Hinton
3. C. V. Jawahar
4. Andrej Karpathy
5. Ilya Sutskever
6. Yoshua Bengio
7. Yann LeCun
8. Richard Socher
9. Diederik P. Kingma
10. Kaiming He

Who trusts Fei Yan overall

1. Yan Huang
2. Niluthpol Chowdhury Mithun
3. Yuxin Peng
4. Liwei Wang
5. Ying Zhang
6. Liang Wang
7. Hyeonseob Nam
8. Wenzhong Guo
9. Yingming Li
10. Lin Ma

Papers from Fei Yan's perspective

Ordered by how strongly the researchers Fei Yan 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. Long Short-Term Memory
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. ImageNet: A large-scale hierarchical image database
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

• Deep correlation for matching images and text (2015) — 410 citations
• Inverse random under sampling for class imbalance problem and its application to multi-label classification (2012) — 300 citations