Mingqiang Li

Computer Vision and Pattern Recognition · with Chen · 2023

A researcher in the Science corpus: 1 paper; trusts 46 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 35 citations into it
• Media Technology — 13 citations into it
• Artificial Intelligence — 8 citations into it

Whom Mingqiang Li trusts overall

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

1. Anish Mittal
2. Ilya Loshchilov
3. Syed Waqas Zamir
4. A. Bovik
5. Geoffrey E. Hinton
6. Kaiming He
7. Alex Krizhevsky
8. Zhou Wang
9. Diederik P. Kingma

Papers from Mingqiang Li's perspective

Ordered by how strongly the researchers Mingqiang Li trusts endorse each paper. Same corpus, a different order for every researcher.

1. Attention is All you Need (Neural Information Processing Systems)
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. ImageNet classification with deep convolutional neural networks
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. ImageNet: A large-scale hierarchical image database
6. Gradient-based learning applied to document recognition
7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
9. Long Short-Term Memory
10. Going deeper with convolutions

Their papers

• Learning A Sparse Transformer Network for Effective Image Deraining (2023) — 545 citations