Doyup Lee

Computer Vision and Pattern Recognition · 2022

A researcher in the Science corpus: 1 paper; trusts 89 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 28 citations into it
• Generative Models — 20 citations into it
• Artificial Intelligence — 13 citations into it
• Model Architectures — 5 citations into it

Whom Doyup Lee trusts overall

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

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

Who trusts Doyup Lee overall

1. Dan Friedman
2. Fabian Mentzer
3. Tamara Czinczoll
4. Keyu Tian
5. Yi Jiang
6. Bowen Zheng
7. Peize Sun
8. Yawar Siddiqui
9. Weixi Feng
10. Adji Bousso Dieng

Papers from Doyup Lee's perspective

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

Their papers

• Autoregressive Image Generation using Residual Quantization (2022) — 851 citations