Zhenhua Wang

Computer Vision and Pattern Recognition · with Wang · 2015–2020

A researcher in the Science corpus: 6 papers; trusts 1,145 researchers and is trusted by 23 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 465 citations into it; #5,903 of 21,575 by trust here, #3,141 by citations
• Artificial Intelligence — 236 citations into it
• Model Architectures — 64 citations into it
• Optimization & Training — 53 citations into it
• Evaluation & Benchmarks — 27 citations into it
• Natural Language Processing — 26 citations into it
• Representation & Self-Supervised Learning — 25 citations into it
• Human-Computer Interaction — 24 citations into it

Whom Zhenhua Wang trusts overall

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

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

Who trusts Zhenhua Wang overall

1. Jiuxiang Gu
2. Bo Zhao
3. Fabien Baradel
4. Tiantian Wang
5. Junwei Han
6. Nian Liu
7. G. Wang
8. Minki Chung
9. ByoungChul Ko
10. Jiashi Feng

Papers from Zhenhua Wang's perspective

Ordered by how strongly the researchers Zhenhua Wang trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. ImageNet: A large-scale hierarchical image database
5. Long Short-Term Memory
6. Gradient-based learning applied to document recognition
7. Attention is All you Need (Neural Information Processing Systems)
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. ImageNet Large Scale Visual Recognition Challenge
10. Going deeper with convolutions

Their papers

• Synthesizing Training Images for Boosting Human 3D Pose Estimation (2016) — 299 citations
• Recurrent Attentional Networks for Saliency Detection (2016) — 243 citations
• Recent advances in convolutional neural networks (2015) — 6,013 citations
• SiamCAR: Siamese Fully Convolutional Classification and Regression for Visual Tracking (2019) — 759 citations
• Learning fine-grained features via a CNN Tree for Large-scale Classification (2015) — 52 citations
• Graph Attention Tracking (2020) — 401 citations