Qing Ling

Computer Vision and Pattern Recognition · with Liu · 2018

A researcher in the Science corpus: 1 paper; trusts 14 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 23 citations into it; #19,016 of 21,575 by trust here, #19,310 by citations
• Generative Models — 13 citations into it

Whom Qing Ling trusts overall

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

1. Karen Simonyan

Who trusts Qing Ling overall

1. Björn Barz
2. Joachim Denzler

Papers from Qing Ling's perspective

Ordered by how strongly the researchers Qing Ling trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
3. GENERATIVE ADVERSARIAL NETS
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. Gradient-based learning applied to document recognition
6. Improved Techniques for Training GANs
7. Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks
8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
9. ImageNet: A large-scale hierarchical image database
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• DADA: Deep Adversarial Data Augmentation for Extremely Low Data Regime Classification (2018) — 93 citations