Zhen Zhu

Computer Vision and Pattern Recognition · 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition · 2017–2020

A researcher in the Science corpus: 6 papers; trusts 938 researchers and is trusted by 11 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 243 citations into it; #8,057 of 21,575 by trust here, #3,404 by citations
• Artificial Intelligence — 73 citations into it
• Generative Models — 38 citations into it
• Media Technology — 30 citations into it; #1,167 of 3,621 by trust here, #339 by citations
• Model Architectures — 30 citations into it
• Evaluation & Benchmarks — 29 citations into it; #2,346 of 3,147 by trust here, #1,262 by citations
• Optimization & Training — 14 citations into it
• Biophysics — 8 citations into it

Whom Zhen Zhu trusts overall

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

1. Kaiming He
2. Diederik P. Kingma
3. Geoffrey E. Hinton
4. Alex Krizhevsky
5. Karen Simonyan
6. Ross B. Girshick
7. Andrew Zisserman
8. Christian Szegedy
9. Yoshua Bengio
10. Ilya Sutskever

Who trusts Zhen Zhu overall

1. Xue Yang
2. Xiangtai Li
3. Jian Zhao
4. Weihao Xia
5. Jian Ding
6. Yisroel Mirsky
7. Minghui Liao
8. Bin Li
9. Lanyun Zhu
10. Yuhui Yuan

Papers from Zhen Zhu's perspective

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

Their papers

• DOTA: A Large-Scale Dataset for Object Detection in Aerial Images (2017) — 2,943 citations
• Asymmetric Non-Local Neural Networks for Semantic Segmentation (2019) — 705 citations
• Rotation-Sensitive Regression for Oriented Scene Text Detection (2018) — 487 citations
• Semantically Multi-Modal Image Synthesis (2020) — 103 citations
• Semantic Flow for Fast and Accurate Scene Parsing (2020) — 448 citations
• Progressive Pose Attention Transfer for Person Image Generation (2019) — 356 citations