Jae-Young Choi

Computer Vision and Pattern Recognition · 2018

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 — 9 citations into it
• Artificial Intelligence — 5 citations into it

Whom Jae-Young Choi trusts overall

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

1. Alex Krizhevsky
2. Dan Claudiu Ciresan

Papers from Jae-Young Choi's perspective

Ordered by how strongly the researchers Jae-Young Choi trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Multi-column deep neural networks for image classification
3. Gradient-based learning applied to document recognition
4. Convolutional neural networks applied to house numbers digit classification
5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
6. Learning Multiple Layers of Features from Tiny Images
7. MatConvNet: Convolutional Neural Networks for MATLAB
8. Long Short-Term Memory
9. ImageNet: A large-scale hierarchical image database
10. Dermatologist-level classification of skin cancer with deep neural networks

Their papers

• The skin cancer classification using deep convolutional neural network (2018) — 368 citations