He Zhang

Computer Vision and Pattern Recognition · with Patel · 2015–2018

A researcher in the Science corpus: 6 papers; trusts 1,228 researchers and is trusted by 128 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 182 citations into it; #2,891 of 21,575 by trust here, #3,929 by citations
• Media Technology — 53 citations into it
• Artificial Intelligence — 51 citations into it; #11,724 of 35,345 by trust here, #23,077 by citations
• Generative Models — 40 citations into it; #489 of 1,956 by trust here, #878 by citations
• Computational Mechanics — 14 citations into it; #2,839 of 10,001 by trust here, #5,567 by citations
• Model Architectures — 14 citations into it
• Representation & Self-Supervised Learning — 12 citations into it
• Computer Graphics and Computer-Aided Design — 10 citations into it; #342 of 1,584 by trust here, #566 by citations

Whom He Zhang trusts overall

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

1. Kaiming He
2. Karen Simonyan
3. Alex Krizhevsky
4. Geoffrey E. Hinton
5. Diederik P. Kingma
6. Yann LeCun
7. Andrew Zisserman
8. Yoshua Bengio
9. Ross B. Girshick
10. Shaoqing Ren

Who trusts He Zhang overall

1. Vishal M. Patel
2. Yulun Zhang
3. Wenqi Ren
4. Xiaowei Hu
5. Wenhan Yang
6. Chong Mou
7. Zizhao Zhang
8. Rajeev Yasarla
9. Chris H. Bahnsen
10. Yapeng Tian

Papers from He Zhang's perspective

Ordered by how strongly the researchers He 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. 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
8. Long Short-Term Memory
9. ImageNet Large Scale Visual Recognition Challenge
10. Going deeper with convolutions

Their papers

• Image De-Raining Using a Conditional Generative Adversarial Network (2017) — 1,193 citations
• Densely Connected Pyramid Dehazing Network (2018) — 1,097 citations
• Density-Aware Single Image De-raining Using a Multi-stream Dense Network (2018) — 1,052 citations
• Sparse Representation-Based Open Set Recognition (2017) — 206 citations
• Domain adaptive sparse representation-based classification (2015) — 32 citations
• SAR Image Despeckling Using a Convolutional Neural Network (2017) — 377 citations