Boris Babenko

Computer Vision and Pattern Recognition · 2008–2011

A researcher in the Science corpus: 6 papers; trusts 228 researchers and is trusted by 2,405 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 64 citations into it; #785 of 21,575 by trust here, #2,055 by citations
• Artificial Intelligence — 29 citations into it; #12,445 of 35,345 by trust here, #8,439 by citations
• Statistical Learning Theory — 17 citations into it
• Optimization & Training — 7 citations into it
• Statistics and Probability — 7 citations into it
• Media Technology — 6 citations into it
• Aerospace Engineering — 5 citations into it

Whom Boris Babenko trusts overall

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

1. Paul A. Viola
2. Jerome H. Friedman
3. Sally A. Goldman
4. Yoav Freund
5. Helmut Grabner
6. Vladimir Naumovich Vapni
7. Stuart Andrews
8. Michael Kearns
9. Robert E. Schapire
10. Philip M. Long

Who trusts Boris Babenko overall

1. Ming-Hsuan Yang
2. Yi Wu
3. Naiyan Wang
4. Martin Danelljan
5. Huchuan Lu
6. Zdenek Kalal
7. Andrea Vedaldi
8. Kaihua Zhang
9. Zoltán Szabó
10. Max Jaderberg

Papers from Boris Babenko's perspective

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

Their papers

• Visual Recognition with Humans in the Loop (2010) — 501 citations
• Robust Object Tracking with Online Multiple Instance Learning (2011) — 2,097 citations
• Visual tracking with online Multiple Instance Learning (2009) — 1,998 citations
• End-to-end scene text recognition (2011) — 1,305 citations
• Multiple Instance Learning with Manifold Bags (2011) — 46 citations
• Multiple Instance Learning: Algorithms and Applications (2008)