Shu Zhang
Computer Vision and Pattern Recognition · with He · 2017
A researcher in the Science corpus: 1 paper; trusts 122 researchers and is trusted by 4 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 29 citations into it; #14,930 of 21,575 by trust here, #9,563 by citations
- Generative Models — 9 citations into it; #1,418 of 1,956 by trust here, #1,091 by citations
- Artificial Intelligence — 7 citations into it
Whom Shu Zhang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Kaiming He
- Diederik P. Kingma
- Alex Krizhevsky
- Yoshua Bengio
- Yann LeCun
- Vinod Nair
- Individualized Treat
- Zhenyao Zhu
- Scott E. Reed
Who trusts Shu Zhang overall
- Andreas Rössler
- Umur Aybars Ciftci
- Zachary Bessinger
- Minhan Kim
- Xiang Wang
- Xintao Wang
- Chunli Qin
- Yujun Shen
Papers from Shu Zhang's perspective
Ordered by how strongly the researchers Shu Zhang trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
- Going deeper with convolutions