Sunok Kim

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 2 papers; trusts 171 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 46 citations into it
• Artificial Intelligence — 17 citations into it
• Model Architectures — 7 citations into it
• Media Technology — 5 citations into it

Whom Sunok Kim trusts overall

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

1. Heiko Hirschmüller
2. Daniel Scharstein
3. Jure Zbontar
4. Yann LeCun
5. Karen Simonyan
6. Alex Krizhevsky
7. Andrea Vedaldi
8. Geoffrey E. Hinton
9. Kaiming He
10. Andrew Zisserman

Papers from Sunok Kim's perspective

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

Their papers

• Context-Aware Emotion Recognition Networks (2019) — 301 citations
• LAF-Net: Locally Adaptive Fusion Networks for Stereo Confidence Estimation (2019) — 61 citations