Peng Guan

Computer Vision and Pattern Recognition · 2009

A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 16 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 8 citations into it; #6,704 of 21,575 by trust here, #9,435 by citations

Whom Peng Guan trusts overall

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

1. Camillo Jose Taylor
2. Volker Blanz
3. Jonathan A. J. Deutscher
4. Carsten Rother
5. Vittorio Ferrari
6. Alexandru O. Balan
7. Dragomir Anguelov
8. Thomas Vetter
9. Ian David Reid
10. Vladimir Kolmogorov

Who trusts Peng Guan overall

1. Georgios Pavlakos
2. Kevin Qinghong Lin
3. Michael J. Black
4. Thiemo Alldieck
5. Nikos Kolotouros
6. Angjoo Kanazawa
7. Sara Alexandra Gomes Vicente
8. Ijaz Akhter
9. Christopher Ellis
10. Syed Zain Masood

Papers from Peng Guan's perspective

Ordered by how strongly the researchers Peng Guan 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
4. ImageNet: A large-scale hierarchical image database
5. Gradient-based learning applied to document recognition
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. ImageNet Large Scale Visual Recognition Challenge
8. Going deeper with convolutions
9. Long Short-Term Memory
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Estimating human shape and pose from a single image (2009) — 447 citations