Congxin Liu

Computer Vision and Pattern Recognition · 2016

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 6 citations into it

Whom Congxin Liu trusts overall

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

1. Volodymyr Mnih

Papers from Congxin Liu's perspective

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

1. Going deeper with convolutions
2. Network In Network
3. Learning Multiple Layers of Features from Tiny Images
4. ImageNet classification with deep convolutional neural networks
5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
6. Gradient-based learning applied to document recognition
7. Learning to Detect Roads in High-Resolution Aerial Images (European Conference on Computer Vision)
8. Provable Bounds for Learning Some Deep Representations
9. Making a Science of Model Search: Hyperparameter Optimization in Hundreds of Dimensions for Vision Architectures
10. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)

Their papers

• Satellite Imagery Classification Based on Deep Convolution Network (2016) — 19 citations