Jungkyu Lee
Computer Vision and Pattern Recognition · 2020
A researcher in the Science corpus: 1 paper; trusts 277 researchers and is trusted by 7 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 32 citations into it; #12,422 of 21,575 by trust here, #16,787 by citations
- Artificial Intelligence — 21 citations into it
- Optimization & Training — 10 citations into it
- Model Architectures — 7 citations into it
- Efficiency & Compression — 6 citations into it
Whom Jungkyu Lee trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Alex Krizhevsky
- Kaiming He
- Andrew Zisserman
- Christian Szegedy
- Yoshua Bengio
- Quoc V. Le
- Ilya Sutskever
- Ross B. Girshick
- Diederik P. Kingma
Who trusts Jungkyu Lee overall
- Tal Ridnik
- Ross Wightman
- Lucas Beyer
- A. Srinivas
- Steffen Schneider
- Irwan Bello
- Evgenia Rusak
- Hugo Touvron
- Emanuel Ben-Baruch
- Hussam Lawen
Papers from Jungkyu Lee's perspective
Ordered by how strongly the researchers Jungkyu Lee trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- ImageNet Large Scale Visual Recognition Challenge
- Going deeper with convolutions
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)