Christopher Geyer

Computer Vision and Pattern Recognition · 2000–2012

A researcher in the Science corpus: 5 papers; trusts 11 researchers and is trusted by 20 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 17 citations into it; #5,815 of 21,575 by trust here, #4,584 by citations

Whom Christopher Geyer trusts overall

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

1. David G. Lowe
2. Peter J. Kostelec
3. Gregory S. Chirikjian
4. Harry Shum
5. Frank Dellaert

Who trusts Christopher Geyer overall

1. João Pedro Barreto
2. Miriam Schönbein
3. Pascal Frossard
4. Christopher Mei
5. David Caruso
6. Ameesh Makadia
7. Ekim Yurtsever
8. Christian Häne
9. Andreas Geiger
10. Renata Khasanova

Papers from Christopher Geyer's perspective

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

1. Distinctive Image Features from Scale-Invariant Keypoints
2. ImageNet: A large-scale hierarchical image database
3. Histograms of oriented gradients for human detection
4. Object Detection with Discriminatively Trained Part Based Models
5. ImageNet classification with deep convolutional neural networks
6. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
7. The PASCAL Visual Object Classes Challenge
8. Gradient-based learning applied to document recognition
9. Cascade object detection with deformable part models
10. Computing Fourier Transforms and Convolutions on the 2-Sphere

Their papers

• Autonomous driving in urban environments: Boss and the Urban Challenge (2008) — 1,944 citations
• Sparselet Models for Efficient Multiclass Object Detection (2012) — 92 citations
• A Unifying Theory for Central Panoramic Systems and Practical Applications (2000) — 625 citations
• Correspondence-free Structure from Motion (2007) — 56 citations
• Catadioptric Projective Geometry (2001) — 442 citations