Lei Wang

Computer Vision and Pattern Recognition · with Huynh · 2019

A researcher in the Science corpus: 1 paper; trusts 362 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 47 citations into it
• Artificial Intelligence — 22 citations into it

Whom Lei Wang trusts overall

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

1. Andrew Zisserman
2. Karen Simonyan
3. Cordelia Schmid
4. Kaiming He
5. Florent Perronnin
6. Alex Krizhevsky
7. Geoffrey E. Hinton
8. Ross B. Girshick
9. David G. Lowe
10. Shaoqing Ren

Papers from Lei Wang's perspective

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

Their papers

• Hallucinating IDT Descriptors and I3D Optical Flow Features for Action Recognition With CNNs (2019) — 101 citations