Pascal Lagger

Computer Vision and Pattern Recognition · 2005

A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 92 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 10 citations into it; #3,337 of 21,575 by trust here, #10,334 by citations
• Aerospace Engineering — 5 citations into it; #1,093 of 6,421 by trust here, #2,141 by citations

Whom Pascal Lagger trusts overall

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

1. David G. Lowe
2. Adam Baumberg
3. Yali Amit
4. Jiri Matas

Who trusts Pascal Lagger overall

1. Jamie Shotton
2. Daniel Wagner
3. Josef Sivic
4. John M. Winn
5. David Nistér
6. Andrew Zisserman
7. Ondřej Chum
8. Michal Perdoch
9. Jonathan Taylor
10. James Philbin

Papers from Pascal Lagger's perspective

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

1. Distinctive Image Features from Scale-Invariant Keypoints
2. Object recognition from local scale-invariant features
3. A Combined Corner and Edge Detector
4. An Affine Invariant Interest Point Detector (European Conference on Computer Vision)
5. Robust wide-baseline stereo from maximally stable extremal regions
6. ImageNet classification with deep convolutional neural networks
7. Reliable feature matching across widely separated views (Proceedings IEEE Conference on Computer Vision and Pattern Recognition. CVPR 2000 (Cat. No.PR00662))
8. Multi-view Matching for Unordered Image Sets, or "How Do I Organize My Holiday Snaps?" (European Conference on Computer Vision)
9. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
10. Gradient-based learning applied to document recognition

Their papers

• Randomized trees for real-time keypoint recognition (2005) — 509 citations