Stephen Miller

Computer Vision and Pattern Recognition · 2010–2012

A researcher in the Science corpus: 3 papers; trusts 11 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 17 citations into it; #12,470 of 21,575 by trust here, #11,498 by citations
• Aerospace Engineering — 7 citations into it; #3,558 of 6,421 by trust here, #3,388 by citations
• Computational Mechanics — 5 citations into it

Whom Stephen Miller trusts overall

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

1. David G. Lowe
2. Tim Cootes
3. Carsten Rother
4. Hedvig Kjellström
5. Navneet Dalal
6. Radu Bogdan Rusu
7. Iryna Gordon
8. Christopher J. Taylor
9. Vladimir Kolmogorov
10. Pieter Abbeel

Who trusts Stephen Miller overall

1. John Schulman
2. Liefeng Bo
3. Xingyu Lin
4. Pieter Abbeel
5. Takayuki Osa
6. Xiaofeng Ren
7. Coline Devin
8. Alex X. Lee
9. Yufei Wang
10. Anastasia Ioannidou

Papers from Stephen Miller's perspective

Ordered by how strongly the researchers Stephen Miller trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Distinctive Image Features from Scale-Invariant Keypoints
3. Histograms of oriented gradients for human detection
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. Gradient-based learning applied to document recognition
6. ImageNet: A large-scale hierarchical image database
7. Long Short-Term Memory
8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• A textured object recognition pipeline for color and depth image data (2012) — 141 citations
• Parametrized shape models for clothing (2011) — 120 citations
• Superhuman performance of surgical tasks by robots using iterative learning from human-guided demonstrations (2010) — 268 citations