Xiangyuan Lan

Computer Vision and Pattern Recognition · 2016–2020

A researcher in the Science corpus: 6 papers; trusts 551 researchers and is trusted by 29 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 157 citations into it; #5,223 of 21,575 by trust here, #5,620 by citations
• Artificial Intelligence — 38 citations into it; #30,979 of 35,345 by trust here, #24,417 by citations
• Biomedical Engineering — 20 citations into it; #1,354 of 10,734 by trust here, #5,494 by citations
• Representation & Self-Supervised Learning — 18 citations into it
• Signal Processing — 16 citations into it; #6,571 of 7,572 by trust here, #4,750 by citations
• Optimization & Training — 8 citations into it
• Model Architectures — 5 citations into it

Whom Xiangyuan Lan trusts overall

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

1. Alex Krizhevsky
2. Kaiming He
3. Liang Zheng
4. Geoffrey E. Hinton
5. Ilya Sutskever
6. Ross B. Girshick
7. Mang Ye
8. Yoshua Bengio
9. Yann LeCun
10. Diederik P. Kingma

Who trusts Xiangyuan Lan overall

1. Mang Ye
2. Guan'an Wang
3. Seokeon Choi
4. Jianbing Shen
5. Tianzhu Zhang
6. Diangang Li
7. Zhixiang Wang
8. Yan Lu
9. Sumin Lee
10. Pong Chi Yuen

Papers from Xiangyuan Lan's perspective

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

Their papers

• The Visual Object Tracking VOT2016 Challenge Results (2016) — 773 citations
• Multi-Adversarial Discriminative Deep Domain Generalization for Face Presentation Attack Detection (2019) — 416 citations
• Hierarchical Discriminative Learning for Visible Thermal Person Re-Identification (2018) — 410 citations
• Visible Thermal Person Re-Identification via Dual-Constrained Top-Ranking (2018) — 408 citations
• Bi-Directional Center-Constrained Top-Ranking for Visible Thermal Person Re-Identification (2020) — 294 citations
• Robust Anchor Embedding for Unsupervised Video Person re-IDentification in the Wild (2018) — 111 citations