Jong-Hoon Seok
Control and Systems Engineering · 2020
A researcher in the Science corpus: 1 paper; trusts 31 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Control and Systems Engineering — 34 citations into it
- Mechanical Engineering — 21 citations into it
- Artificial Intelligence — 19 citations into it
- Mechanics of Materials — 15 citations into it
- Computer Vision and Pattern Recognition — 9 citations into it
- Representation & Self-Supervised Learning — 5 citations into it
Whom Jong-Hoon Seok trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Xiang Li
- Ayon Dey
- Diederik P. Kingma
- Arnaz Malhi
- Geoffrey E. Hinton
- Haidong Shao
- Feng Jia
- Qian Ding
- Xiaojie Guo
- Long Wen
Papers from Jong-Hoon Seok's perspective
Ordered by how strongly the researchers Jong-Hoon Seok 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)
- GENERATIVE ADVERSARIAL NETS
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Going deeper with convolutions
- Long Short-Term Memory
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database