Wei Zhang

Computer Vision and Pattern Recognition · with Mei · 2018–2020

A researcher in the Science corpus: 3 papers; trusts 353 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 81 citations into it; #14,579 of 21,575 by trust here, #12,172 by citations
• Artificial Intelligence — 57 citations into it; #23,659 of 35,345 by trust here, #20,377 by citations
• Computational Mechanics — 9 citations into it
• Model Architectures — 9 citations into it
• Aerospace Engineering — 5 citations into it

Whom Wei Zhang trusts overall

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

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

Who trusts Wei Zhang overall

1. Lukas Hoyer
2. Yahao Liu
3. Dengxin Dai

Papers from Wei Zhang's perspective

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

Their papers

• Classes Matter: A Fine-grained Adversarial Approach to Cross-domain Semantic Segmentation (2020) — 340 citations
• Destruction and Construction Learning for Fine-Grained Image Recognition (2019) — 474 citations
• Consistent and Specific Multi-View Subspace Clustering (2018) — 439 citations