Charles Dubout

Computer Vision and Pattern Recognition · 2011–2012

A researcher in the Science corpus: 2 papers; trusts 35 researchers and is trusted by 240 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 22 citations into it; #2,474 of 21,575 by trust here, #10,010 by citations
• Artificial Intelligence — 5 citations into it

Whom Charles Dubout trusts overall

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

1. Pedro F. Felzenszwalb
2. Navneet Dalal
3. Ross B. Girshick
4. Matteo Frigo
5. Bill Triggs
6. Paul A. Viola
7. David A. McAllester
8. Jianguo Zhang
9. Steven G. Johnson
10. Piotr Doll'ar

Who trusts Charles Dubout overall

1. Junjie Yan
2. George Papandreou
3. Shuran Song
4. Dominic Zeng Wang
5. Mohammad Amin Sadeghi
6. Pierre-André Savalle
7. Zhen Lei
8. Gong Cheng
9. Santosh Kumar Divvala
10. Marco Pedersoli

Papers from Charles Dubout's perspective

Ordered by how strongly the researchers Charles Dubout 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. ImageNet: A large-scale hierarchical image database
4. Gradient-based learning applied to document recognition
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
8. ImageNet Large Scale Visual Recognition Challenge
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. Going deeper with convolutions

Their papers

• Exact Acceleration of Linear Object Detectors (2012) — 155 citations
• Comparing machines and humans on a visual categorization test (2011) — 180 citations