Han Chen

Computer Vision and Pattern Recognition · with Alwani · 2016

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 12 citations into it; #14,434 of 21,575 by trust here, #13,269 by citations

Whom Han Chen trusts overall

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

1. Alex Krizhevsky
2. Karen Simonyan
3. Ronan Collobert
4. Geoffrey E. Hinton
5. Christian Szegedy
6. Ilya Sutskever
7. Andrew Zisserman
8. Srimat T. Chakradhar
9. Yann LeCun
10. Koray Kavukcuoglu

Who trusts Han Chen overall

1. Sparsh Mittal
2. Yongming Shen
3. Zhuoran Zhao

Papers from Han Chen's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Going deeper with convolutions
3. ImageNet Large Scale Visual Recognition Challenge
4. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
5. Gradient-based learning applied to document recognition
6. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
7. Attention is All you Need (Neural Information Processing Systems)
8. Long Short-Term Memory
9. ImageNet: A large-scale hierarchical image database
10. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)

Their papers

• Fused-layer CNN accelerators (2016) — 668 citations