Wenchang Zhang

Computer Vision and Pattern Recognition · 2016–2018

A researcher in the Science corpus: 2 papers; trusts 110 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 39 citations into it
• Artificial Intelligence — 24 citations into it
• Representation & Self-Supervised Learning — 19 citations into it
• Media Technology — 15 citations into it

Whom Wenchang Zhang trusts overall

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

1. David G. Lowe
2. Karen Simonyan
3. Geoffrey E. Hinton
4. Alex Krizhevsky
5. Kaiming He
6. Andrew Zisserman
7. Yoshua Bengio
8. Yann LeCun
9. Diederik P. Kingma
10. Ilya Sutskever

Papers from Wenchang Zhang's perspective

Ordered by how strongly the researchers Wenchang 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. Gradient-based learning applied to document recognition
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. ImageNet: A large-scale hierarchical image database
6. GENERATIVE ADVERSARIAL NETS
7. Attention is All you Need (Neural Information Processing Systems)
8. Long Short-Term Memory
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• A Survey on Deep Transfer Learning (2018) — 2,931 citations
• Hierarchical Coding Vectors for Scene Level Land-Use Classification (2016) — 52 citations