Pei Wang

Computer Vision and Pattern Recognition · with Vasconcelos · 2020–2022

A researcher in the Science corpus: 3 papers; trusts 277 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 85 citations into it; #17,315 of 21,575 by trust here, #19,310 by citations
• Artificial Intelligence — 67 citations into it
• Model Architectures — 14 citations into it
• Optimization & Training — 13 citations into it
• Representation & Self-Supervised Learning — 12 citations into it
• Generative Models — 7 citations into it; #1,623 of 1,956 by trust here, #1,902 by citations
• Computer Graphics and Computer-Aided Design — 5 citations into it
• Electrical and Electronic Engineering — 5 citations into it

Whom Pei Wang trusts overall

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

1. Kaiming He
2. Geoffrey E. Hinton
3. Christian Szegedy
4. Alex Krizhevsky
5. Ross B. Girshick
6. Leon A. Gatys
7. Yoshua Bengio
8. Yann LeCun
9. Diederik P. Kingma
10. X. Zhang

Who trusts Pei Wang overall

1. Yujin Tang
2. Yifan Peng
3. Ceyuan Yang

Papers from Pei Wang's perspective

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

Their papers

• Omni-DETR: Omni-Supervised Object Detection with Transformers (2022) — 53 citations
• Rethinking and Improving the Robustness of Image Style Transfer (2021) — 108 citations
• Solving Long-tailed Recognition with Deep Realistic Taxonomic Classifier (2020) — 59 citations