Can Wang

Computer Vision and Pattern Recognition · 2018–2021

A researcher in the Science corpus: 3 papers; trusts 302 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 122 citations into it
• Artificial Intelligence — 41 citations into it
• Human-Computer Interaction — 27 citations into it
• 3D Vision & Pose — 22 citations into it
• Biomedical Engineering — 16 citations into it

Whom Can Wang trusts overall

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

1. Kaiming He
2. Ross B. Girshick
3. Diederik P. Kingma
4. Geoffrey E. Hinton
5. Jia Deng
6. Alex Krizhevsky
7. Shaoqing Ren
8. Yann LeCun
9. Yoshua Bengio
10. Christian Szegedy

Who trusts Can Wang overall

1. Haoshu Fang
2. Ce Zheng
3. Tao Jiang

Papers from Can Wang's perspective

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

Their papers

• CrowdPose: Efficient Crowded Scenes Pose Estimation and a New Benchmark (2018) — 627 citations
• Whole-Body Human Pose Estimation in the Wild (2020) — 351 citations
• Human Pose Regression with Residual Log-likelihood Estimation (2021) — 300 citations