Pengcheng Han

Computer Vision and Pattern Recognition · 2016

A researcher in the Science corpus: 1 paper; trusts 119 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 43 citations into it
• Artificial Intelligence — 17 citations into it
• Representation & Self-Supervised Learning — 8 citations into it

Whom Pengcheng Han trusts overall

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

1. Geoffrey E. Hinton
2. Yoshua Bengio
3. Alex Krizhevsky
4. Yann LeCun
5. Yuri Boykov
6. Kaiming He
7. Navneet Dalal
8. Ross B. Girshick
9. Diederik P. Kingma
10. Ilya Sutskever

Papers from Pengcheng Han's perspective

Ordered by how strongly the researchers Pengcheng Han 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Gradient-based learning applied to document recognition
5. Long Short-Term Memory
6. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
8. ImageNet Large Scale Visual Recognition Challenge
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

• Scene parsing using inference Embedded Deep Networks (2016) — 22 citations