James Booth
Computer Vision and Pattern Recognition · 2016–2017
A researcher in the Science corpus: 3 papers; trusts 22 researchers and is trusted by 5 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 48 citations into it; #13,117 of 21,575 by trust here, #8,722 by citations
- Computational Mechanics — 6 citations into it; #5,804 of 10,001 by trust here, #2,252 by citations
- Signal Processing — 6 citations into it
Whom James Booth trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Volker Blanz
- Thomas Vetter
- Brian Amberg
- Ira Kemelmacher-Shlizerman
- Davis E. King
- Alan Brunton
- Pascal Paysan
- Reinhard Knothe
- Darren P. Cosker
- Dimitri P. Bertsekas
Who trusts James Booth overall
- Ayush Kumar Tewari
- Hyeongwoo Kim
- Baris Gecer
- Michael Zollhöfer
- Anh Tuan Tran
- Stylianos Ploumpis
- Elad Richardson
- Zhimeng Zhang
- Tianye Li
- B. Egger
Papers from James Booth's perspective
Ordered by how strongly the researchers James Booth trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- ImageNet: A large-scale hierarchical image database
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- Histograms of oriented gradients for human detection
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- Large Scale 3D Morphable Models (2017) — 333 citations
- A 3D Morphable Model Learnt from 10,000 Faces (2016) — 393 citations
- 3D Face Morphable Models "In-the-Wild" (2017) — 192 citations