Hee Jung Ryu
Computer Vision and Pattern Recognition · 2017
A researcher in the Science corpus: 2 papers; trusts 189 researchers and is trusted by 7 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 30 citations into it; #10,549 of 21,575 by trust here, #11,721 by citations
- Artificial Intelligence — 9 citations into it
- Safety, Robustness & Interpretability — 8 citations into it; #1,137 of 2,251 by trust here, #1,673 by citations
- Signal Processing — 8 citations into it
- Safety Research — 6 citations into it
Whom Hee Jung Ryu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Florian Schroff
- Antonio Torralba
- Ziwei Liu
- Rajeev Ranjan
- Geoffrey E. Hinton
- Alex Krizhevsky
- Cynthia Dwork
- Sergio Escalera
- Kaiming He
- John C. Duchi
Who trusts Hee Jung Ryu overall
- Zeyu Wang
- Harini Suresh
- Ben Hutchinson
- Klint Qinami
- Michele Merler
- Kaiyu Yang
- Kimmo Kärkkäinen
- Dana Pessach
- Svetlana Kiritchenko
- John V. Guttag
Papers from Hee Jung Ryu's perspective
Ordered by how strongly the researchers Hee Jung Ryu trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet Large Scale Visual Recognition Challenge
- Going deeper with convolutions
Their papers
- InclusiveFaceNet: Improving Face Attribute Detection with Race and Gender Diversity (2017) — 116 citations
- Improving Smiling Detection with Race and Gender Diversity (2017) — 32 citations