Muchen Li

Computer Vision and Pattern Recognition · with Sigal · 2021

A researcher in the Science corpus: 1 paper; trusts 430 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 40 citations into it
• Artificial Intelligence — 34 citations into it
• Multimodal Learning — 16 citations into it
• Model Architectures — 8 citations into it
• Natural Language Processing — 6 citations into it

Whom Muchen Li trusts overall

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

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

Who trusts Muchen Li overall

1. Peihan Miao
2. Salman Hameed Khan
3. Siyi Liu
4. Yang Liu
5. Wei Su
6. Muzammal Naseer
7. Yaoyuan Liang
8. Yao Zhang

Papers from Muchen Li's perspective

Ordered by how strongly the researchers Muchen Li 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. Long Short-Term Memory
6. ImageNet: A large-scale hierarchical image database
7. Gradient-based learning applied to document recognition
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

• Referring Transformer: A One-step Approach to Multi-task Visual Grounding (2021) — 262 citations