Kang Ryoung Park
Computer Vision and Pattern Recognition · 2017
A researcher in the Science corpus: 1 paper; trusts 22 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 19 citations into it; #14,815 of 21,575 by trust here, #15,955 by citations
- Biomedical Engineering — 7 citations into it; #5,643 of 10,734 by trust here, #7,854 by citations
Whom Kang Ryoung Park trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Kang Ryoung Park overall
Papers from Kang Ryoung Park's perspective
Ordered by how strongly the researchers Kang Ryoung Park trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Gradient-based learning applied to document recognition
- Histograms of oriented gradients for human detection
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Long Short-Term Memory
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Attention is All you Need (Neural Information Processing Systems)
- Learning Multiple Layers of Features from Tiny Images
- Going deeper with convolutions