Sihai Tang

Computer Vision and Pattern Recognition · 2019–2020

A researcher in the Science corpus: 2 papers; trusts 90 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 40 citations into it; #19,492 of 21,575 by trust here, #16,787 by citations
• Artificial Intelligence — 18 citations into it
• Model Architectures — 14 citations into it
• Aerospace Engineering — 7 citations into it

Whom Sihai Tang trusts overall

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

1. Alex Krizhevsky
2. Kaiming He
3. Ross B. Girshick
4. Shaoqing Ren
5. Geoffrey E. Hinton
6. Dan Claudiu Ciresan
7. Ilya Sutskever
8. Karen Simonyan
9. J. Urgen Schmidhuber
10. Yann LeCun

Who trusts Sihai Tang overall

1. Qi Chen
2. Runsheng Xu
3. Eduardo Arnold

Papers from Sihai Tang's perspective

Ordered by how strongly the researchers Sihai Tang 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. Attention is All you Need (Neural Information Processing Systems)
4. Learning Multiple Layers of Features from Tiny Images
5. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
9. Long Short-Term Memory
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Cooper: Cooperative Perception for Connected Autonomous Vehicles Based on 3D Point Clouds (2019) — 464 citations
• Spanet: Spatial Pyramid Attention Network for Enhanced Image Recognition (2020) — 99 citations