Dongran Liu

Computer Vision and Pattern Recognition · 2014

A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 7 citations into it; #12,396 of 21,575 by trust here, #19,310 by citations

Whom Dongran Liu trusts overall

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

1. Piotr Doll'ar
2. Andreas Møgelmose
3. Markus Mathias
4. Radu Timofte

Who trusts Dongran Liu overall

1. Tianyu Gu
2. Edward Chou
3. Yingqi Liu
4. Brendan Dolan-Gavitt

Papers from Dongran Liu's perspective

Ordered by how strongly the researchers Dongran Liu 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. Going deeper with convolutions
5. Integral Channel Features
6. Histograms of oriented gradients for human detection
7. ImageNet: A large-scale hierarchical image database
8. ImageNet Large Scale Visual Recognition Challenge
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Traffic sign detection for U.S. roads: Remaining challenges and a case for tracking (2014) — 58 citations