Zhihao Wang

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 981 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 150 citations into it; #17,126 of 21,575 by trust here, #15,162 by citations
• Media Technology — 71 citations into it; #2,701 of 3,621 by trust here, #2,114 by citations
• Generative Models — 29 citations into it
• Evaluation & Benchmarks — 19 citations into it
• Artificial Intelligence — 18 citations into it
• Model Architectures — 13 citations into it
• Optimization & Training — 5 citations into it

Whom Zhihao Wang trusts overall

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

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

Who trusts Zhihao Wang overall

1. Syed Waqas Zamir
2. Chaofeng Wang
3. Wei Tang
4. Hengyuan Zhao
5. Honggang Chen
6. Aditya Arora
7. Zheng Li
8. Salman Hameed Khan
9. Fazhi He
10. Xiangtao Kong

Papers from Zhihao Wang's perspective

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

Their papers

• Deep Learning for Image Super-Resolution: A Survey (2019) — 1,821 citations