Hanseok Ko
Computer Vision and Pattern Recognition · 2014–2020
A researcher in the Science corpus: 4 papers; trusts 38 researchers and is trusted by 6 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 61 citations into it; #12,298 of 21,575 by trust here, #14,478 by citations
- Generative Models — 18 citations into it; #1,195 of 1,956 by trust here, #1,601 by citations
- Artificial Intelligence — 10 citations into it
- Human-Computer Interaction — 5 citations into it
Whom Hanseok Ko trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Hanseok Ko overall
Papers from Hanseok Ko's perspective
Ordered by how strongly the researchers Hanseok Ko 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)
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks
- Learning Multiple Layers of Features from Tiny Images
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- Generative Adversarial Network Based Acoustic Scene Training Set Augmentation and Selection Using SVM Hyper-Plane (2017) — 139 citations
- NTIRE 2020 Challenge on Real-World Image Super-Resolution: Methods and Results (2020) — 190 citations
- Generative Adversarial Network Based Acoustic Scene Training Set Augmentation and Selection Using SVM Hyper-Plane (2017)
- Hidden Markov Model on a unit hypersphere space for gesture trajectory recognition (2014) — 35 citations