Duncan P. Robertson

Computer Vision and Pattern Recognition · 2010–2016

A researcher in the Science corpus: 5 papers; trusts 286 researchers and is trusted by 36 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 82 citations into it; #4,856 of 21,575 by trust here, #4,344 by citations
• Artificial Intelligence — 47 citations into it; #22,907 of 35,345 by trust here, #13,544 by citations
• Model Architectures — 32 citations into it
• Efficiency & Compression — 17 citations into it; #713 of 1,264 by trust here, #608 by citations
• Optimization & Training — 13 citations into it

Whom Duncan P. Robertson trusts overall

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

1. Alex Krizhevsky
2. Kaiming He
3. Geoffrey E. Hinton
4. Yann LeCun
5. Christian Szegedy
6. Karen Simonyan
7. Ilya Sutskever
8. Yoshua Bengio
9. Ross B. Girshick
10. X. Zhang

Who trusts Duncan P. Robertson overall

1. Georgios Georgiadis
2. Gabriele Fanelli
3. Wujie Wen
4. Antonio Criminisi
5. Ruizhe Zhao
6. Xiangyu Zhang
7. Juergen Gall
8. Luc Van Gool
9. Christoph Feichtenhofer
10. Simon Vandenhende

Papers from Duncan P. Robertson's perspective

Ordered by how strongly the researchers Duncan P. Robertson 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. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. ImageNet Large Scale Visual Recognition Challenge
10. Going deeper with convolutions

Their papers

• Accurate, Robust, and Flexible Real-time Hand Tracking (2015) — 507 citations
• Deep Roots: Improving CNN Efficiency with Hierarchical Filter Groups (2016) — 295 citations
• Training CNNs with Low-Rank Filters for Efficient Image Classification (2015) — 156 citations
• Regression Forests for Efficient Anatomy Detection and Localization in CT Studies (2010) — 326 citations
• Decision Forests, Convolutional Networks and the Models in-Between (2016) — 93 citations