Hyungseok Jang

Computer Vision and Pattern Recognition · 2017

A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 10 citations into it
• Artificial Intelligence — 7 citations into it

Whom Hyungseok Jang trusts overall

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

1. L. Eon Bottou
2. Kaiming He
3. Evan Shelhamer
4. Yann LeCun
5. Geoffrey E. Hinton
6. Vijay Badrinarayanan
7. Hayit Greenspan
8. Kevin Jarrett
9. X. Zhang
10. Yangqing Jia

Papers from Hyungseok Jang's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Gradient-based learning applied to document recognition
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. ImageNet: A large-scale hierarchical image database
6. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
8. ImageNet Large Scale Visual Recognition Challenge
9. Going deeper with convolutions
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Deep learning Mr imaging–based attenuation correction for PeT/Mr imaging 1 (2017)