Olivier Barnich

Computer Vision and Pattern Recognition · 2009–2011

A researcher in the Science corpus: 2 papers; trusts 35 researchers and is trusted by 35 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 29 citations into it; #4,345 of 21,575 by trust here, #12,689 by citations
• Media Technology — 8 citations into it
• Artificial Intelligence — 7 citations into it

Whom Olivier Barnich trusts overall

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

1. Ahmed M. Elgammal
2. Zoran Zivkovic
3. Chris Stauffer
4. Massimo Piccardi
5. David Harwood
6. Kyungnam Kim
7. Larry S. Davis
8. W. Grimson
9. Pakorn KaewTrakulPong
10. P. W. Power

Who trusts Olivier Barnich overall

1. Thierry Bouwmans
2. Wenguan Wang
3. Chris H. Bahnsen
4. Anestis Papazoglou
5. Mohammadreza Babaee
6. Yi Wang
7. Pierre-Luc St-Charles
8. Martin Hofmann
9. Jianbing Shen
10. Dan Xu

Papers from Olivier Barnich's perspective

Ordered by how strongly the researchers Olivier Barnich 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. Gradient-based learning applied to document recognition
4. ImageNet: A large-scale hierarchical image database
5. Going deeper with convolutions
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Long Short-Term Memory
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. ImageNet Large Scale Visual Recognition Challenge
10. GENERATIVE ADVERSARIAL NETS

Their papers

• ViBe: A Universal Background Subtraction Algorithm for Video Sequences (2011) — 1,940 citations
• ViBE: A powerful random technique to estimate the background in video sequences (2009) — 434 citations