Liliang Zhang

Computer Vision and Pattern Recognition · 2016

A researcher in the Science corpus: 1 paper; trusts 280 researchers and is trusted by 10 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 27 citations into it; #8,643 of 21,575 by trust here, #8,021 by citations
• Artificial Intelligence — 13 citations into it; #13,340 of 35,345 by trust here, #11,490 by citations

Whom Liliang Zhang trusts overall

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

1. Ross B. Girshick
2. Kaiming He
3. Piotr Doll'ar
4. Karen Simonyan
5. Alex Krizhevsky
6. Geoffrey E. Hinton
7. Navneet Dalal
8. Andrew Zisserman
9. Yann LeCun
10. Yoshua Bengio

Who trusts Liliang Zhang overall

1. Yancheng Bai
2. Yongqiang Zhang
3. Chunluan Zhou
4. Bernard Ghanem
5. Xiaodan Liang
6. Shiyu Huang
7. Suchet Bargoti
8. Wei David Liu
9. Ming Ding
10. Songtao Liu

Papers from Liliang Zhang's perspective

Ordered by how strongly the researchers Liliang Zhang 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. ImageNet: A large-scale hierarchical image database
5. Gradient-based learning applied to document recognition
6. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. ImageNet Large Scale Visual Recognition Challenge
10. Going deeper with convolutions

Their papers

• Is Faster R-CNN Doing Well for Pedestrian Detection? (2016) — 836 citations