Florent Lafarge

Computer Vision and Pattern Recognition · 2012

A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 13 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 12 citations into it; #8,539 of 21,575 by trust here, #17,258 by citations
• Geology — 7 citations into it; #230 of 687 by trust here, #551 by citations
• Environmental Engineering — 6 citations into it; #1,314 of 5,479 by trust here, #3,797 by citations

Whom Florent Lafarge trusts overall

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

1. Yair Weiss
2. Daniel Munoz
3. Yasutaka Furukawa
4. William T. Freeman
5. Andrew Bagnell
6. Brian Curless
7. Marc Pollefeys
8. S. M. Seitz
9. Richard Szeliski
10. David Nistér

Who trusts Florent Lafarge overall

1. Alexandre Boulch
2. Joel Janai
3. Weixiao Gao
4. Fabio Remondino
5. Bertrand Le Saux
6. Fatma Güney
7. Liangliang Nan
8. Maria Grazia Spera
9. Christoph Vogel
10. Nicolas Audebert

Papers from Florent Lafarge's perspective

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

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. Gradient-based learning applied to document recognition
3. ImageNet classification with deep convolutional neural networks
4. Distinctive Image Features from Scale-Invariant Keypoints
5. ImageNet: A large-scale hierarchical image database
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
8. Long Short-Term Memory
9. ImageNet Large Scale Visual Recognition Challenge
10. Going deeper with convolutions

Their papers

• Creating Large-Scale City Models from 3D-Point Clouds: A Robust Approach with Hybrid Representation (2012) — 371 citations