Shu Zhang

Computer Vision and Pattern Recognition · with Zhang · 2019

A researcher in the Science corpus: 1 paper; trusts 29 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 22 citations into it; #20,286 of 21,575 by trust here, #10,677 by citations
• Artificial Intelligence — 17 citations into it; #33,115 of 35,345 by trust here, #15,866 by citations
• Natural Language Processing — 8 citations into it

Whom Shu Zhang trusts overall

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

1. Kaiming He
2. Diederik P. Kingma
3. Karen Simonyan
4. Geoffrey E. Hinton
5. Shaoqing Ren
6. Alex Krizhevsky
7. Yoshua Bengio
8. Andrew Zisserman
9. Ross B. Girshick
10. Jimmy Ba

Who trusts Shu Zhang overall

1. Thao Minh Le
2. Chenyou Fan

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.

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

Their papers

• Heterogeneous Memory Enhanced Multimodal Attention Model for Video Question Answering (2019) — 319 citations