Yuang Wang

Computer Vision and Pattern Recognition · 2021

A researcher in the Science corpus: 1 paper; trusts 41 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 34 citations into it; #17,894 of 21,575 by trust here, #13,542 by citations
• Aerospace Engineering — 20 citations into it; #5,014 of 6,421 by trust here, #3,175 by citations
• Artificial Intelligence — 7 citations into it

Whom Yuang Wang trusts overall

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

1. Kaiming He
2. David G. Lowe
3. Krystian Mikolajczyk
4. Ross B. Girshick
5. Geoffrey E. Hinton
6. Alex Krizhevsky
7. Daniel DeTone
8. Tsung-Yi Lin
9. Cordelia Schmid
10. X. Zhang

Who trusts Yuang Wang overall

1. Vincent Leroy

Papers from Yuang Wang's perspective

Ordered by how strongly the researchers Yuang Wang 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. Attention is All you Need (Neural Information Processing Systems)
3. ImageNet classification with deep convolutional neural networks
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. ImageNet: A large-scale hierarchical image database
6. Gradient-based learning applied to document recognition
7. Long Short-Term Memory
8. ImageNet Large Scale Visual Recognition Challenge
9. Going deeper with convolutions
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• LoFTR: Detector-Free Local Feature Matching with Transformers (2021) — 1,958 citations