Shanxin Yuan

Computer Vision and Pattern Recognition · 2016–2017

A researcher in the Science corpus: 2 papers; trusts 252 researchers and is trusted by 11 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 74 citations into it; #9,121 of 21,575 by trust here, #8,021 by citations
• Human-Computer Interaction — 46 citations into it; #622 of 2,253 by trust here, #402 by citations
• Control and Systems Engineering — 28 citations into it; #2,584 of 8,257 by trust here, #1,190 by citations
• Artificial Intelligence — 24 citations into it
• Biomedical Engineering — 19 citations into it
• 3D Vision & Pose — 13 citations into it; #466 of 689 by trust here, #558 by citations
• Model Architectures — 5 citations into it

Whom Shanxin Yuan trusts overall

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

1. Geoffrey E. Hinton
2. Markus Oberweger
3. Yann LeCun
4. Alex Krizhevsky
5. Kaiming He
6. Ross B. Girshick
7. Andrew Zisserman
8. Hossein Rahmani
9. Yoshua Bengio
10. Karen Simonyan

Who trusts Shanxin Yuan overall

1. Bugra Tekin
2. Gyeongsik Moon
3. Zhe Cao
4. Hichem Sahbi
5. Shreyas Hampali
6. Yu Rong
7. Taein Kwon
8. Samarth Brahmbhatt
9. Hanbyul Joo
10. Hanwen Jiang

Papers from Shanxin Yuan's perspective

Ordered by how strongly the researchers Shanxin Yuan 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. Long Short-Term Memory
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

• First-Person Hand Action Benchmark with RGB-D Videos and 3D Hand Pose Annotations (2017) — 563 citations
• Spatial Attention Deep Net with Partial PSO for Hierarchical Hybrid Hand Pose Estimation (2016) — 160 citations