Changkyu Choi

Computer Vision and Pattern Recognition · with Son · 2015–2018

A researcher in the Science corpus: 3 papers; trusts 135 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 65 citations into it; #16,864 of 21,575 by trust here, #7,938 by citations
• Artificial Intelligence — 42 citations into it
• Efficiency & Compression — 24 citations into it
• Model Architectures — 9 citations into it
• Media Technology — 8 citations into it
• Representation & Self-Supervised Learning — 5 citations into it

Whom Changkyu Choi trusts overall

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

1. Alex Krizhevsky
2. Geoffrey E. Hinton
3. Kaiming He
4. Karen Simonyan
5. Yoshua Bengio
6. Yann LeCun
7. Ilya Sutskever
8. Ross B. Girshick
9. Andrew Zisserman
10. Diederik P. Kingma

Who trusts Changkyu Choi overall

1. Xi Yin

Papers from Changkyu Choi's perspective

Ordered by how strongly the researchers Changkyu Choi 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. ImageNet classification with deep convolutional neural networks
3. Learning Multiple Layers of Features from Tiny Images
4. ImageNet Large Scale Visual Recognition Challenge
5. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
6. Gradient-based learning applied to document recognition
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. Long Short-Term Memory
9. Attention is All you Need (Neural Information Processing Systems)
10. ImageNet: A large-scale hierarchical image database

Their papers

• Rotating your face using multi-task deep neural network (2015) — 297 citations
• Learning to Quantize Deep Networks by Optimizing Quantization Intervals With Task Loss (2018) — 430 citations
• Joint Training of Low-Precision Neural Network with Quantization Interval Parameters (2018) — 36 citations