Jinmin Li

Computer Vision and Pattern Recognition · 2024

A researcher in the Science corpus: 1 paper; trusts 138 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 56 citations into it
• Media Technology — 29 citations into it
• Artificial Intelligence — 14 citations into it
• Model Architectures — 11 citations into it

Whom Jinmin Li trusts overall

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

1. Diederik P. Kingma
2. Kaiming He
3. Kai Zhang
4. Geoffrey E. Hinton
5. Alex Krizhevsky
6. Chao Dong
7. Noam Shazeer
8. Yoshua Bengio
9. Jimmy Ba
10. Yann LeCun

Papers from Jinmin Li's perspective

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

Their papers

• MambaIR: A Simple Baseline for Image Restoration with State-Space Model (2024) — 801 citations