Yutian Lin

Computer Vision and Pattern Recognition · 2017–2019

A researcher in the Science corpus: 3 papers; trusts 531 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 104 citations into it; #10,739 of 21,575 by trust here, #7,421 by citations
• Biomedical Engineering — 27 citations into it; #8,214 of 10,734 by trust here, #4,405 by citations
• Artificial Intelligence — 24 citations into it
• Representation & Self-Supervised Learning — 7 citations into it
• Signal Processing — 7 citations into it
• Model Architectures — 6 citations into it
• Optimization & Training — 5 citations into it

Whom Yutian Lin trusts overall

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

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

Who trusts Yutian Lin overall

1. Liang Zheng
2. Zhedong Zheng
3. Dongkai Wang
4. Yi Yang
5. Yixiao Ge
6. Zhun Zhong
7. Jingya Wang
8. Kai Han
9. Chiat-Pin Tay
10. Kaiwei Zeng

Papers from Yutian Lin's perspective

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

Their papers

• Improving Person Re-identification by Attribute and Identity Learning (2017) — 881 citations
• Exploit the Unknown Gradually: One-Shot Video-Based Person Re-identification by Stepwise Learning (2018) — 377 citations
• A Bottom-Up Clustering Approach to Unsupervised Person Re-Identification (2019) — 583 citations