Wensheng Zhang

Computer Vision and Pattern Recognition · with Liu · 2015–2016

A researcher in the Science corpus: 2 papers; trusts 100 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 47 citations into it
• Computational Mechanics — 28 citations into it

Whom Wensheng Zhang trusts overall

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

1. Zhouchen Lin
2. Karen Simonyan
3. Geoffrey E. Hinton
4. Li Fei-Fei
5. Alex Krizhevsky
6. Andrew Zisserman
7. Kaiming He
8. Christian Szegedy
9. Andrea Vedaldi
10. Yoshua Bengio

Papers from Wensheng Zhang's perspective

Ordered by how strongly the researchers Wensheng Zhang 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. 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. Learning Multiple Layers of Features from Tiny Images
10. Going deeper with convolutions

Their papers

• On Unifying Multi-view Self-Representations for Clustering by Tensor Multi-rank Minimization (2016) — 468 citations
• Weighted Schatten $p$ -Norm Minimization for Image Denoising and Background Subtraction (2015) — 414 citations