Xiaoyang Tan

Computer Vision and Pattern Recognition · 2003–2019

A researcher in the Science corpus: 7 papers; trusts 282 researchers and is trusted by 77 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 119 citations into it; #3,316 of 21,575 by trust here, #4,623 by citations
• Artificial Intelligence — 42 citations into it; #28,319 of 35,345 by trust here, #34,213 by citations
• Reinforcement Learning — 21 citations into it
• Signal Processing — 20 citations into it; #1,872 of 7,572 by trust here, #2,001 by citations
• Biomedical Engineering — 16 citations into it
• Human-Computer Interaction — 10 citations into it
• Model Architectures — 10 citations into it
• Media Technology — 9 citations into it; #1,925 of 3,621 by trust here, #1,923 by citations

Whom Xiaoyang Tan trusts overall

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

1. Peter N. Belhumeur
2. Chengjun Liu
3. Christopher K. I. Williams
4. Anil K. Jain
5. Bernhard Schölkopf
6. Timo Ojala
7. Jun Liu
8. Gunilla Borgefors
9. Geoffrey E. Hinton
10. Athinodoros S. Georghiades

Who trusts Xiaoyang Tan overall

1. Li Liu
2. Matti Pietikäinen
3. Hu Han
4. Zhen Lei
5. André Anjos
6. Changxing Ding
7. Abdenour Hadid
8. Loris Nanni
9. Anil K. Jain
10. Juho Kannala

Papers from Xiaoyang Tan's perspective

Ordered by how strongly the researchers Xiaoyang Tan 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. Gradient-based learning applied to document recognition
5. Long Short-Term Memory
6. ImageNet: A large-scale hierarchical image database
7. Attention is All you Need (Neural Information Processing Systems)
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. Going deeper with convolutions
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Enhanced Local Texture Feature Sets for Face Recognition Under Difficult Lighting Conditions (2007) — 3,391 citations
• Face Liveness Detection from a Single Image with Sparse Low Rank Bilinear Discriminative Model (2010) — 578 citations
• Efficient and robust feature extraction by maximum margin criterion (2003) — 970 citations
• Fusing Gabor and LBP Feature Sets for Kernel-Based Face Recognition (2007) — 340 citations
• Face recognition from a single image per person: A survey (2006) — 753 citations
• Truly Proximal Policy Optimization (2019) — 212 citations
• Pattern Recognition (2018) — 537 citations