Hua Zhong

Computer Vision and Pattern Recognition · with Shi · 2004

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 5 citations into it

Whom Hua Zhong trusts overall

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

1. Inderjit S. Dhillon
2. Jianbo Shi
3. Neil Johnson
4. Jitendra Malik
5. Alexei A. Efros
6. David C. Hogg
7. Alexander C. Berg
8. Geoffrey E. Hinton
9. Chris Stauffer
10. Kaiming He

Who trusts Hua Zhong overall

1. Pavan K. Turaga
2. Xiaogang Wang
3. Yang Cong
4. Jenny Yuen
5. Oren Boiman
6. Ramalingam Chellappa
7. Bin Zhao
8. Dian Gong
9. Dong Zhang
10. Li Fei-Fei

Papers from Hua Zhong's perspective

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

Their papers

• Detecting unusual activity in video (2004) — 563 citations