Liang Zhang

Computer Vision and Pattern Recognition · with Mei · 2016

A researcher in the Science corpus: 1 paper; trusts 38 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 29 citations into it
• Artificial Intelligence — 13 citations into it

Whom Liang Zhang trusts overall

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

1. Karen Simonyan
2. Geoffrey E. Hinton
3. Alex Krizhevsky
4. Jun Wan
5. Andrew Zisserman
6. Yann LeCun
7. Ross B. Girshick
8. Yoshua Bengio
9. Kaiming He
10. Ilya Sutskever

Who trusts Liang Zhang overall

1. Pichao Wang
2. Wanqing Li

Papers from Liang Zhang's perspective

Ordered by how strongly the researchers Liang 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. Going deeper with convolutions
4. Gradient-based learning applied to document recognition
5. ImageNet: A large-scale hierarchical image database
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Long Short-Term Memory
8. Attention is All you Need (Neural Information Processing Systems)
9. ImageNet Large Scale Visual Recognition Challenge
10. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation

Their papers

• Large-scale Isolated Gesture Recognition using pyramidal 3D convolutional networks (2016) — 72 citations