C.-H. Chuang

Computer Vision and Pattern Recognition · 2015

A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 13 citations into it
• Artificial Intelligence — 9 citations into it

Whom C.-H. Chuang trusts overall

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

1. Alex Krizhevsky
2. Chih-Jen Lin
3. Jeff Donahue
4. Geoffrey E. Hinton
5. Yangqing Jia
6. Jia Deng
7. Ilya Sutskever
8. Ross B. Girshick

Papers from C.-H. Chuang's perspective

Ordered by how strongly the researchers C.-H. Chuang trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. ImageNet: A large-scale hierarchical image database
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
5. Gradient-based learning applied to document recognition
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Long Short-Term Memory
8. Attention is All you Need (Neural Information Processing Systems)
9. Learning Multiple Layers of Features from Tiny Images
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Transfer representation learning for medical image analysis (2015) — 136 citations