Chuming Li

Computer Vision and Pattern Recognition · 2019–2021

A researcher in the Science corpus: 3 papers; trusts 178 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 78 citations into it
• Artificial Intelligence — 72 citations into it
• Model Architectures — 30 citations into it
• Optimization & Training — 21 citations into it
• Efficiency & Compression — 8 citations into it

Whom Chuming Li trusts overall

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

1. Kaiming He
2. Geoffrey E. Hinton
3. Alex Krizhevsky
4. Ross B. Girshick
5. Yoshua Bengio
6. Quoc V. Le
7. Karen Simonyan
8. Yann LeCun
9. Barret Zoph
10. Diederik P. Kingma

Papers from Chuming Li's perspective

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

Their papers

• GLiT: Neural Architecture Search for Global and Local Image Transformer (2021) — 104 citations
• Improving One-Shot NAS by Suppressing the Posterior Fading (2019) — 80 citations
• Online Hyper-Parameter Learning for Auto-Augmentation Strategy (2019) — 93 citations