Junkyung Kim
Computer Vision and Pattern Recognition · 2016–2018
A researcher in the Science corpus: 2 papers; trusts 55 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 39 citations into it
- Artificial Intelligence — 18 citations into it
- Optimization & Training — 5 citations into it
Whom Junkyung Kim trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alex Krizhevsky
- Diederik P. Kingma
- Yoshua Bengio
- Geoffrey E. Hinton
- Yann LeCun
- Xavier Glorot
- Ilya Sutskever
- Kaiming He
- Jia Deng
- Jimmy Ba
Who trusts Junkyung Kim overall
Papers from Junkyung Kim's perspective
Ordered by how strongly the researchers Junkyung Kim trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Learning Multiple Layers of Features from Tiny Images
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- Not-So-CLEVR: learning same–different relations strains feedforward neural networks (2018) — 105 citations
- A systematic comparison between visual cues for boundary detection. (2016) — 148 citations