Youngmin Park
Computer Vision and Pattern Recognition · 2008
A researcher in the Science corpus: 1 paper; trusts 13 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 9 citations into it
- Aerospace Engineering — 7 citations into it
Whom Youngmin Park trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- David G. Lowe
- Vincent Lepetit
- Pascal Fua
- Georg S. W. Klein
- Mustafa Özuysal
- Herbert Bay
- Luca Vacchetti
- Francesc Moreno-Noguer
- David William Murray
- Tinne Tuytelaars
Who trusts Youngmin Park overall
Papers from Youngmin Park's perspective
Ordered by how strongly the researchers Youngmin Park trusts endorse each paper. Same corpus, a different order for every researcher.
- Distinctive Image Features from Scale-Invariant Keypoints
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- ImageNet Large Scale Visual Recognition Challenge
- Going deeper with convolutions
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Histograms of oriented gradients for human detection
Their papers
- Multiple 3D Object tracking for augmented reality (2008) — 176 citations