Hyoungseop Kim
Computer Vision and Pattern Recognition · 2012–2019
A researcher in the Science corpus: 5 papers; trusts 97 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 55 citations into it
- Artificial Intelligence — 28 citations into it
- Natural Language Processing — 13 citations into it
- Biomedical Engineering — 11 citations into it
- Electrical and Electronic Engineering — 8 citations into it
- Model Architectures — 8 citations into it
- Media Technology — 6 citations into it
- Signal Processing — 6 citations into it
Whom Hyoungseop Kim trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alex Graves
- Geoffrey E. Hinton
- Karen Simonyan
- Yoshua Bengio
- Ivan Laptev
- Kenneth O. Stanley
- Alex Krizhevsky
- Kaiming He
- Ilya Sutskever
- Yann LeCun
Who trusts Hyoungseop Kim overall
Papers from Hyoungseop Kim's perspective
Ordered by how strongly the researchers Hyoungseop Kim trusts endorse each paper. Same corpus, a different order for every researcher.
- 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
- Long Short-Term Memory
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Going deeper with convolutions
- ImageNet: A large-scale hierarchical image database
- Attention is All you Need (Neural Information Processing Systems)
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
Their papers
- Motion history image: its variants and applications (2012) — 295 citations
- Motor Anomaly Detection for Unmanned Aerial Vehicles Using Reinforcement Learning (2018) — 444 citations
- CONet: A Cognitive Ocean Network (2019) — 162 citations
- Low illumination underwater light field images reconstruction using deep convolutional neural networks (2018) — 271 citations
- Brain Intelligence: Go beyond Artificial Intelligence (2017) — 1,015 citations