David Hyunchul Shim

Computer Vision and Pattern Recognition · 2002–2018

A researcher in the Science corpus: 3 papers; trusts 23 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 11 citations into it
• Artificial Intelligence — 5 citations into it

Whom David Hyunchul Shim trusts overall

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

1. Alex Krizhevsky
2. Karen Simonyan

Papers from David Hyunchul Shim's perspective

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

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

Their papers

• Perception, Guidance, and Navigation for Indoor Autonomous Drone Racing Using Deep Learning (2018) — 170 citations
• Development of a self-driving car that can handle the adverse weather (2018) — 39 citations
• Probabilistic pursuit-evasion games: theory, implementation, and experimental evaluation (2002) — 577 citations