Garry Choy

Computer Vision and Pattern Recognition · 2015–2017

A researcher in the Science corpus: 2 papers; trusts 30 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 24 citations into it
• Artificial Intelligence — 18 citations into it
• Model Architectures — 9 citations into it

Whom Garry Choy trusts overall

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

1. Karen Simonyan
2. Matthew D. Zeiler
3. Yann LeCun

Papers from Garry Choy's perspective

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

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. Gradient-based learning applied to document recognition
3. ImageNet Large Scale Visual Recognition Challenge
4. Going deeper with convolutions
5. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
6. ImageNet classification with deep convolutional neural networks
7. Visualizing and Understanding Convolutional Networks
8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
9. Long Short-Term Memory
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• How much data is needed to train a medical image deep learning system to achieve necessary high accuracy (2015) — 385 citations
• Fully Automated Deep Learning System for Bone Age Assessment (2017) — 426 citations