Zhao Zhang

Computer Vision and Pattern Recognition · with Cheng · 2019–2022

A researcher in the Science corpus: 3 papers; trusts 488 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 142 citations into it; #20,634 of 21,575 by trust here, #11,286 by citations
• Artificial Intelligence — 23 citations into it
• Human-Computer Interaction — 10 citations into it; #2,233 of 2,253 by trust here, #1,221 by citations
• Aerospace Engineering — 7 citations into it
• Model Architectures — 7 citations into it
• Optimization & Training — 5 citations into it

Whom Zhao Zhang trusts overall

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

1. Kaiming He
2. Ross B. Girshick
3. Geoffrey E. Hinton
4. Alex Krizhevsky
5. Yuri Boykov
6. Karen Simonyan
7. Jia Deng
8. Yann LeCun
9. Diederik P. Kingma
10. Andrew Zisserman

Who trusts Zhao Zhang overall

1. Qin Liu
2. Xi Chen
3. Deng-Ping Fan
4. Konstantin Sofiiuk
5. Jing Zhang

Papers from Zhao Zhang's perspective

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

Their papers

• FocusCut: Diving into a Focus View in Interactive Segmentation (2022) — 68 citations
• Interactive Image Segmentation With First Click Attention (2020) — 165 citations
• Rethinking RGB-D Salient Object Detection: Models, Data Sets, and Large-Scale Benchmarks (2019) — 640 citations