N. Wang
Computer Vision and Pattern Recognition · with Li · 2013–2019
A researcher in the Science corpus: 3 papers; trusts 156 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 65 citations into it
- Media Technology — 14 citations into it
- Computational Mechanics — 9 citations into it
- Representation & Self-Supervised Learning — 9 citations into it
- Signal Processing — 5 citations into it
Whom N. Wang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Xiaoou Tang
- William T. Freeman
- Xiaogang Wang
- Geoffrey E. Hinton
- Zhou Wang
- Alexei A. Efros
- Alex Krizhevsky
- Ce Liu
- Lawrence R. Rabiner
- Kaiming He
Who trusts N. Wang overall
Papers from N. Wang's perspective
Ordered by how strongly the researchers N. Wang trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
- Going deeper with convolutions
Their papers
- A Comprehensive Survey to Face Hallucination (2013) — 350 citations
- Are Anchor Points Really Indispensable in Label-Noise Learning? (2019) — 461 citations
- Bivariate maximum entropy distribution of significant wave height and peak period (2013) — 61 citations