Sam Johnson
Computer Vision and Pattern Recognition · 2010–2011
A researcher in the Science corpus: 2 papers; trusts 451 researchers and is trusted by 3,622 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 33 citations into it; #549 of 21,575 by trust here, #3,302 by citations
- Artificial Intelligence — 7 citations into it
Whom Sam Johnson trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Deva Ramanan
- Pedro F. Felzenszwalb
- Radford M. Neal
- Vittorio Ferrari
- Marcin Eichner
- Navneet Dalal
- Sergey Ioffe
- D.A. Forsyth
- Lubomir D. Bourdev
- Andrew Zisserman
Who trusts Sam Johnson overall
- Georgios Pavlakos
- Dushyant Mehta
- Juergen Gall
- Wanli Ouyang
- Xiao Chu
- Jitendra Malik
- Georgia Gkioxari
- Adrian Bulat
- Leonid Pishchulin
- Xiaogang Wang
Papers from Sam Johnson's perspective
Ordered by how strongly the researchers Sam Johnson trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- 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
- Attention is All you Need (Neural Information Processing Systems)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
- Going deeper with convolutions
Their papers
- Clustered Pose and Nonlinear Appearance Models for Human Pose Estimation (2010) — 912 citations
- Learning effective human pose estimation from inaccurate annotation (2011) — 476 citations