Huimin Li

Computer Vision and Pattern Recognition · with Cao · 2016

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 17 citations into it; #17,034 of 21,575 by trust here, #16,787 by citations

Whom Huimin Li trusts overall

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

1. Alex Krizhevsky
2. Karen Simonyan
3. Geoffrey E. Hinton
4. Yoshua Bengio
5. Ilya Sutskever
6. Andrew Zisserman
7. Matthieu Courbariaux
8. Yann LeCun
9. Yangqing Jia
10. Suyog Gupta

Who trusts Huimin Li overall

1. Yongming Shen
2. Michael Ferdman
3. Yun Liang
4. Yufei Ma
5. Peter Milder
6. Kaiyuan Guo

Papers from Huimin Li's perspective

Ordered by how strongly the researchers Huimin 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
5. ImageNet Large Scale Visual Recognition Challenge
6. Long Short-Term Memory
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. ImageNet: A large-scale hierarchical image database
9. Attention is All you Need (Neural Information Processing Systems)
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• A high performance FPGA-based accelerator for large-scale convolutional neural networks (2016) — 322 citations