Yiqun Li

Computer Vision and Pattern Recognition · with Dong · 2019

A researcher in the Science corpus: 1 paper; trusts 36 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 24 citations into it
• Artificial Intelligence — 20 citations into it
• Representation & Self-Supervised Learning — 16 citations into it

Whom Yiqun Li trusts overall

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

1. Alex Krizhevsky
2. Geoffrey E. Hinton
3. Kaiming He
4. Gregory R. Koch
5. Yann LeCun
6. Yoshua Bengio
7. Arslan Chaudhry
8. Diederik P. Kingma
9. Karen Simonyan
10. Ilya Sutskever

Papers from Yiqun Li's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Gradient-based learning applied to document recognition
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
6. Learning Multiple Layers of Features from Tiny Images
7. ImageNet: A large-scale hierarchical image database
8. Long Short-Term Memory
9. Attention is All you Need (Neural Information Processing Systems)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Meta Module Generation for Fast Few-Shot Incremental Learning (2019) — 7 citations