Yu Song

Computer Vision and Pattern Recognition · with Kaess · 2016

A researcher in the Science corpus: 1 paper; trusts 12 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 15 citations into it; #19,397 of 21,575 by trust here, #20,271 by citations
• Aerospace Engineering — 11 citations into it; #5,565 of 6,421 by trust here, #5,830 by citations
• Geology — 5 citations into it; #604 of 687 by trust here, #652 by citations

Whom Yu Song trusts overall

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

1. Jakob J. Engel
2. Carsten Rother
3. Jürgen Sturm
4. Michael Kaess
5. Andreas Krause
6. Dorian Gálvez-López
7. Varsha Hedau
8. David C. Lee
9. Shichao Yang
10. Daniel Cremers

Who trusts Yu Song overall

1. Lei Tai

Papers from Yu Song's perspective

Ordered by how strongly the researchers Yu Song 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. Multiple View Geometry in Computer Vision
4. Gradient-based learning applied to document recognition
5. A benchmark for the evaluation of RGB-D SLAM systems
6. LSD-SLAM: Large-Scale Direct Monocular SLAM
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. Distinctive Image Features from Scale-Invariant Keypoints
10. Long Short-Term Memory

Their papers

• Pop-up SLAM: Semantic monocular plane SLAM for low-texture environments (2016) — 143 citations