Matthias Luber

Computer Vision and Pattern Recognition · 2010–2011

A researcher in the Science corpus: 2 papers; trusts 24 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 17 citations into it; #9,480 of 21,575 by trust here, #12,992 by citations
• Artificial Intelligence — 8 citations into it; #15,484 of 35,345 by trust here, #19,439 by citations
• Ocean Engineering — 5 citations into it; #1,460 of 3,193 by trust here, #1,606 by citations

Whom Matthias Luber trusts overall

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

1. Shai Avidan
2. Navneet Dalal
3. Yoav Freund
4. Helmut Grabner
5. Kai Oliver Arras
6. Saad Ali
7. Bastian Leibe
8. Michael D. Breitenstein
9. Robert E. Schapire
10. Bill Triggs

Who trusts Matthias Luber overall

1. Michael Firman
2. Shuran Song
3. Pete Trautman
4. Alexandre Alahi
5. Alexandre Robicquet
6. Ziyun Cai
7. Agrim Gupta
8. Andrey Rudenko
9. Jianxiong Xiao
10. Kai Berger

Papers from Matthias Luber's perspective

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

1. Histograms of oriented gradients for human detection
2. ImageNet classification with deep convolutional neural networks
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
5. Gradient-based learning applied to document recognition
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. ImageNet Large Scale Visual Recognition Challenge
8. Distinctive Image Features from Scale-Invariant Keypoints
9. ImageNet: A large-scale hierarchical image database
10. Attention is All you Need (Neural Information Processing Systems)

Their papers

• People tracking with human motion predictions from social forces (2010) — 355 citations
• People tracking in RGB-D data with on-line boosted target models (2011) — 208 citations