Yun-Chun Chen

Computer Vision and Pattern Recognition · 2019–2022

A researcher in the Science corpus: 2 papers; trusts 370 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 74 citations into it; #16,172 of 21,575 by trust here, #13,542 by citations
• Control and Systems Engineering — 30 citations into it
• Artificial Intelligence — 29 citations into it; #26,424 of 35,345 by trust here, #20,836 by citations
• Robotics & Control — 12 citations into it
• Representation & Self-Supervised Learning — 11 citations into it
• Biomedical Engineering — 9 citations into it
• Aerospace Engineering — 8 citations into it

Whom Yun-Chun Chen trusts overall

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

1. Kaiming He
2. Geoffrey E. Hinton
3. Alex Krizhevsky
4. Diederik P. Kingma
5. Judy Hoffman
6. Ross B. Girshick
7. Yoshua Bengio
8. Yann LeCun
9. Trevor Darrell
10. Ilya Sutskever

Who trusts Yun-Chun Chen overall

1. Lin Wang
2. Hsin-Ying Lee
3. Jianping Gou
4. Wilhelm Tranheden
5. Yanchao Yang
6. Jinwoo Choi
7. Simon Ging
8. Hung-Yu Tseng
9. Jia-Bin Huang
10. Kuk-Jin Yoon

Papers from Yun-Chun Chen's perspective

Ordered by how strongly the researchers Yun-Chun Chen 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. ImageNet: A large-scale hierarchical image database
5. Gradient-based learning applied to document recognition
6. Attention is All you Need (Neural Information Processing Systems)
7. Long Short-Term Memory
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

• CrDoCo: Pixel-Level Domain Transfer With Cross-Domain Consistency (2019) — 300 citations
• Grasp'D: Differentiable Contact-rich Grasp Synthesis for Multi-fingered Hands (2022) — 106 citations