Hong Zhang

Computer Vision and Pattern Recognition · with Jia · 2016

A researcher in the Science corpus: 1 paper; trusts 270 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 32 citations into it; #19,347 of 21,575 by trust here, #12,992 by citations
• Artificial Intelligence — 13 citations into it; #31,565 of 35,345 by trust here, #19,439 by citations
• Model Architectures — 6 citations into it

Whom Hong Zhang trusts overall

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

1. Ross B. Girshick
2. Kaiming He
3. Alex Krizhevsky
4. Geoffrey E. Hinton
5. Karen Simonyan
6. Bharath Hariharan
7. Ilya Sutskever
8. Yann LeCun
9. Andrew Zisserman
10. Jitendra Malik

Who trusts Hong Zhang overall

1. Philip H. S. Torr
2. Anurag Arnab

Papers from Hong Zhang's perspective

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

Their papers

• Multi-scale Patch Aggregation (MPA) for Simultaneous Detection and Segmentation (2016) — 81 citations