Liu Liu

Computer Vision and Pattern Recognition · with Dai · 2017

A researcher in the Science corpus: 1 paper; trusts 136 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 29 citations into it; #19,370 of 21,575 by trust here, #18,266 by citations
• Aerospace Engineering — 23 citations into it; #5,552 of 6,421 by trust here, #4,945 by citations

Whom Liu Liu trusts overall

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

1. David G. Lowe
2. Torsten Sattler
3. Yunpeng Li
4. Bastian Leibe
5. Jan-Michael Frahm
6. David Nistér
7. Noah Snavely
8. Herv'e J'egou
9. Marius Muja
10. Andrew Zisserman

Who trusts Liu Liu overall

1. Torsten Sattler
2. Paul-Edouard Sarlin
3. Paul Hongsuck Seo
4. Xingyu Jiang
5. Tobias Weyand
6. César Cadena
7. Qunjie Zhou
8. Jiayi Ma
9. Marc Pollefeys

Papers from Liu Liu's perspective

Ordered by how strongly the researchers Liu Liu 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. ImageNet classification with deep convolutional neural networks
3. ImageNet: A large-scale hierarchical image database
4. Distinctive Image Features from Scale-Invariant Keypoints
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
7. Long Short-Term Memory
8. Gradient-based learning applied to document recognition
9. ImageNet Large Scale Visual Recognition Challenge
10. Going deeper with convolutions

Their papers

• Efficient Global 2D-3D Matching for Camera Localization in a Large-Scale 3D Map (2017) — 176 citations