Qing Wang

Computer Vision and Pattern Recognition · with Chen · 2018

A researcher in the Science corpus: 1 paper; trusts 24 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 44 citations into it
• Artificial Intelligence — 26 citations into it
• Optimization & Training — 5 citations into it

Whom Qing Wang trusts overall

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

1. Geoffrey E. Hinton

Papers from Qing Wang's perspective

Ordered by how strongly the researchers Qing Wang 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. Gradient-based learning applied to document recognition
3. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
4. Distinctive Image Features from Scale-Invariant Keypoints
5. Histograms of oriented gradients for human detection
6. ImageNet classification with deep convolutional neural networks
7. Distilling the Knowledge in a Neural Network (arXiv.org)
8. Dropout: a simple way to prevent neural networks from overfitting
9. Densely Connected Convolutional Networks
10. Caffe: Convolutional Architecture for Fast Feature Embedding

Their papers

• Training Small Networks for Scene Classification of Remote Sensing Images via Knowledge Distillation (2018) — 76 citations