Benoît Paquier

Computer Vision and Pattern Recognition · 2011

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 13 citations into it
• Aerospace Engineering — 5 citations into it

Whom Benoît Paquier trusts overall

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

1. David G. Lowe
2. Andrea Vedaldi

Papers from Benoît Paquier's perspective

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

1. Distinctive Image Features from Scale-Invariant Keypoints
2. A performance evaluation of local descriptors
3. A Combined Corner and Edge Detector
4. ImageNet classification with deep convolutional neural networks
5. Robust wide-baseline stereo from maximally stable extremal regions
6. Vlfeat: an open and portable library of computer vision algorithms
7. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
8. Gradient-based learning applied to document recognition
9. A Comparison of Affine Region Detectors
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Scale Invariant Feature Transform on the Sphere: Theory and Applications (2011) — 182 citations