Taeseong Kim
Computer Vision and Pattern Recognition · 2018
A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 11 citations into it
- Media Technology — 5 citations into it
Whom Taeseong Kim trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Taeseong Kim's perspective
Ordered by how strongly the researchers Taeseong 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)
- Deep Learning
- Gradient-based learning applied to document recognition
- Image quality assessment: from error visibility to structural similarity
- Learning long-term dependencies with gradient descent is difficult
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
- Natural Image Denoising with Convolutional Networks
- ImageNet: A large-scale hierarchical image database