Yanchao Yang

Computer Vision and Pattern Recognition · 2020

A researcher in the Science corpus: 3 papers; trusts 840 researchers and is trusted by 22 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 95 citations into it; #6,203 of 21,575 by trust here, #12,172 by citations
• Artificial Intelligence — 73 citations into it; #8,741 of 35,345 by trust here, #19,439 by citations
• Representation & Self-Supervised Learning — 37 citations into it; #958 of 3,145 by trust here, #2,042 by citations
• Generative Models — 23 citations into it
• Radiology, Nuclear Medicine and Imaging — 16 citations into it; #374 of 3,265 by trust here, #1,861 by citations
• Evaluation & Benchmarks — 8 citations into it
• Model Architectures — 8 citations into it
• Optimization & Training — 5 citations into it

Whom Yanchao Yang trusts overall

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

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

Who trusts Yanchao Yang overall

1. Yahao Liu
2. Jian Liang
3. Luke Melas-Kyriazi
4. Lukas Hoyer
5. Dengxin Dai
6. Christos Sakaridis
7. Yuxi Wang
8. Qinwei Xu
9. Luc Van Gool
10. Jinyu Yang

Papers from Yanchao Yang's perspective

Ordered by how strongly the researchers Yanchao Yang 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. ImageNet: A large-scale hierarchical image database
5. Gradient-based learning applied to document recognition
6. Attention is All you Need (Neural Information Processing Systems)
7. Long Short-Term Memory
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

• Learning to Manipulate Individual Objects in an Image (2020) — 38 citations
• FDA: Fourier Domain Adaptation for Semantic Segmentation (2020) — 1,162 citations
• Phase Consistent Ecological Domain Adaptation (2020) — 130 citations