Caojin Zhang

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 1 paper; trusts 87 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 26 citations into it
• Artificial Intelligence — 24 citations into it
• Representation & Self-Supervised Learning — 15 citations into it
• Model Architectures — 6 citations into it

Whom Caojin Zhang trusts overall

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

1. Alex Krizhevsky
2. Geoffrey E. Hinton
3. Yann LeCun
4. Kaiming He
5. Yoshua Bengio
6. Ilya Sutskever
7. Ross B. Girshick
8. Jia Deng
9. Adam Coates
10. Andrew Y. Ng

Who trusts Caojin Zhang overall

1. Defang Chen
2. Sungsoo Ahn

Papers from Caojin Zhang's perspective

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

Their papers

• Coupled End-to-End Transfer Learning with Generalized Fisher Information (2018) — 30 citations