Chuen-Kai Shie

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 Chuen-Kai Shie trusts overall

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

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

Who trusts Chuen-Kai Shie overall

1. Edward Y. Chang
2. Ashnil Kumar
3. Yajie Bao
4. Garrett B. Goh

Papers from Chuen-Kai Shie's perspective

Ordered by how strongly the researchers Chuen-Kai Shie 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. Learning Multiple Layers of Features from Tiny Images
9. ImageNet Large Scale Visual Recognition Challenge
10. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation

Their papers

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