Lei Wang

Computer Vision and Pattern Recognition · with Cui · 2019

A researcher in the Science corpus: 2 papers; trusts 38 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 13 citations into it
• Artificial Intelligence — 11 citations into it
• Aerospace Engineering — 5 citations into it
• Electrical and Electronic Engineering — 5 citations into it

Whom Lei Wang trusts overall

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

1. Wei-Long Zheng
2. Kaiming He
3. Rodrigo Malacarne
4. Geoffrey E. Hinton
5. Evan Shelhamer
6. Alex Krizhevsky
7. L. Eon Bottou
8. Yann LeCun
9. Johan A. K. Suykens
10. Masashi Sugiyama

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. Gradient-based learning applied to document recognition
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. GENERATIVE ADVERSARIAL NETS
6. ImageNet: A large-scale hierarchical image database
7. Attention is All you Need (Neural Information Processing Systems)
8. Long Short-Term Memory
9. Learning Multiple Layers of Features from Tiny Images
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Miss Detection vs. False Alarm: Adversarial Learning for Small Object Segmentation in Infrared Images (2019) — 430 citations
• A Novel Bi-Hemispheric Discrepancy Model for EEG Emotion Recognition (2019) — 325 citations