Florent Monay

Computer Vision and Pattern Recognition · 2005–2014

A researcher in the Science corpus: 2 papers; trusts 9 researchers and is trusted by 13 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 14 citations into it; #9,988 of 21,575 by trust here, #11,498 by citations
• Aerospace Engineering — 6 citations into it

Whom Florent Monay trusts overall

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

1. David G. Lowe
2. Thomas Hofmann
3. Krystian Mikolajczyk
4. Li Fei-Fei
5. Rob Fergus
6. Pietro Perona
7. Cordelia Schmid
8. Sanjiv Kumar
9. Andrew Zisserman

Who trusts Florent Monay overall

1. Xucong Zhang
2. Anna Bosch
3. Stéphane Clinchant
4. Kristen Grauman
5. Yusuke Sugano
6. Mario Fritz
7. Eunji Chong
8. David Grangier
9. Svetlana Lazebnik
10. Andrew Zisserman

Papers from Florent Monay's perspective

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

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

Their papers

• Modeling scenes with local descriptors and latent aspects (2005) — 408 citations
• EYEDIAP: a database for the development and evaluation of gaze estimation algorithms from RGB and RGB-D cameras (2014) — 418 citations