Chenming Li

Computer Vision and Pattern Recognition · 2020

A researcher in the Science corpus: 1 paper; trusts 13 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 11 citations into it
• Artificial Intelligence — 6 citations into it

Whom Chenming Li trusts overall

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

1. Sebastian Thrun
2. Diederik P. Kingma
3. Liang-Chieh Chen
4. Kaiming He
5. Evan Shelhamer
6. Steven M. LaValle

Papers from Chenming Li's perspective

Ordered by how strongly the researchers Chenming 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
3. ImageNet classification with deep convolutional neural networks
4. Gradient-based learning applied to document recognition
5. ImageNet: A large-scale hierarchical image database
6. Fully convolutional networks for semantic segmentation
7. Attention is All you Need (Neural Information Processing Systems)
8. Long Short-Term Memory
9. ImageNet Large Scale Visual Recognition Challenge
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Neural RRT*: Learning-Based Optimal Path Planning (2020) — 513 citations