Zhen Wei

Computer Vision and Pattern Recognition · with Wang · 2016–2020

A researcher in the Science corpus: 3 papers; trusts 315 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 99 citations into it; #16,286 of 21,575 by trust here, #9,435 by citations
• Artificial Intelligence — 71 citations into it; #26,602 of 35,345 by trust here, #13,760 by citations
• Model Architectures — 35 citations into it
• Efficiency & Compression — 23 citations into it
• Optimization & Training — 19 citations into it
• Representation & Self-Supervised Learning — 10 citations into it
• Evaluation & Benchmarks — 8 citations into it

Whom Zhen Wei trusts overall

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

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

Who trusts Zhen Wei overall

1. Xilai Li
2. Zifeng Wu
3. Ting Zhang
4. Jan Chorowski
5. Yibo Yang
6. Lingxi Xie
7. Xiaozhi Chen

Papers from Zhen Wei's perspective

Ordered by how strongly the researchers Zhen Wei 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. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
8. Learning Multiple Layers of Features from Tiny Images
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• DisturbLabel: Regularizing CNN on the Loss Layer (2016) — 263 citations
• FBNetV3: Joint Architecture-Recipe Search using Neural Acquisition Function (2020) — 77 citations
• Deeply-Fused Nets (2016) — 103 citations