Quan Wang

Computer Vision and Pattern Recognition · with Qian · 2018–2022

A researcher in the Science corpus: 2 papers; trusts 107 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 55 citations into it

Whom Quan Wang trusts overall

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

1. Diederik P. Kingma
2. Kaiming He
3. Geoffrey E. Hinton
4. Alex Krizhevsky
5. Ross B. Girshick
6. Yoshua Bengio
7. Yann LeCun
8. Shaoqing Ren
9. Andrew Zisserman
10. Ilya Sutskever

Papers from Quan Wang's perspective

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

Their papers

• Look at Boundary: A Boundary-Aware Face Alignment Algorithm (2018) — 511 citations
• Bailando: 3D Dance Generation by Actor-Critic GPT with Choreographic Memory (2022) — 316 citations