Byungju 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 — 13 citations into it
Whom Byungju Kim trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Kaiming He
- Individualized Treat
- Gil Levi
- Andrew Zisserman
- Eran Eidinger
- Mohsan S. Alvi
- Tal Hassner
- X. Zhang
- Geoffrey E. Hinton
- Alex Krizhevsky
Who trusts Byungju Kim overall
Papers from Byungju Kim's perspective
Ordered by how strongly the researchers Byungju 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
- ImageNet Large Scale Visual Recognition Challenge
- 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
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Going deeper with convolutions
Their papers
- Learning Not to Learn: Training Deep Neural Networks With Biased Data (2018) — 468 citations