Shichao Yang

Computer Vision and Pattern Recognition · 2016–2018

A researcher in the Science corpus: 3 papers; trusts 486 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 66 citations into it; #15,273 of 21,575 by trust here, #15,955 by citations
• Aerospace Engineering — 38 citations into it; #4,052 of 6,421 by trust here, #4,066 by citations
• Geology — 12 citations into it; #488 of 687 by trust here, #604 by citations
• 3D Vision & Pose — 9 citations into it
• Artificial Intelligence — 7 citations into it
• Evaluation & Benchmarks — 6 citations into it
• Robotics & Control — 6 citations into it

Whom Shichao Yang trusts overall

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

1. Alex Krizhevsky
2. Geoffrey E. Hinton
3. Karen Simonyan
4. Kaiming He
5. Derek Hoiem
6. Ross B. Girshick
7. Ilya Sutskever
8. Jakob J. Engel
9. Antonio Torralba
10. Andrew Zisserman

Who trusts Shichao Yang overall

1. Lei Tai
2. Liangkai Liu
3. Yu Song
4. Yiyi Liao

Papers from Shichao Yang's perspective

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

Their papers

• CubeSLAM: Monocular 3-D Object SLAM (2018) — 462 citations
• Real-time 3D scene layout from a single image using Convolutional Neural Networks (2016) — 36 citations
• Pop-up SLAM: Semantic monocular plane SLAM for low-texture environments (2016) — 143 citations