Kun Duan

Computer Vision and Pattern Recognition · with Crandall · 2012

A researcher in the Science corpus: 1 paper; trusts 25 researchers and is trusted by 37 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 18 citations into it; #4,936 of 21,575 by trust here, #8,296 by citations

Whom Kun Duan trusts overall

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

1. Vladimir Kolmogorov
2. Pablo Arbeláez
3. Carsten Rother
4. Catherine Wah
5. Andrew Zisserman
6. Geoffrey E. Hinton
7. Ross B. Girshick
8. Rob Fergus
9. Pedro F. Felzenszwalb
10. Alex Krizhevsky

Who trusts Kun Duan overall

1. Jonathan Krause
2. Lingxi Xie
3. Zeynep Akata
4. Efstratios Gavves
5. Thomas Berg
6. Grant Van Horn
7. Zhe Xu
8. Steve Branson
9. Shulin Yang
10. Genevieve Patterson

Papers from Kun Duan's perspective

Ordered by how strongly the researchers Kun Duan 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. ImageNet: A large-scale hierarchical image database
4. Gradient-based learning applied to document recognition
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
8. ImageNet Large Scale Visual Recognition Challenge
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. Going deeper with convolutions

Their papers

• Discovering localized attributes for fine-grained recognition (2012) — 302 citations