Byeong Hyeon Kim
Computer Vision and Pattern Recognition · 2023
A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 9 citations into it
Whom Byeong Hyeon Kim trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Byeong Hyeon Kim's perspective
Ordered by how strongly the researchers Byeong Hyeon Kim trusts endorse each paper. Same corpus, a different order for every researcher.
- Learning representations by back-propagating errors
- Neural Discrete Representation Learning
- End-to-end Optimized Image Compression (International Conference on Learning Representations)
- Variational image compression with a scale hyperprior
- A method for the construction of minimum-redundancy codes
- End-To-End Optimized Speech Coding with Deep Neural Networks
- Definition of the Opus Audio Codec
- Upsampling Artifacts in Neural Audio Synthesis
- Introduction to Digital Audio Coding and Standards
- Psychoacoustic Calibration of Loss Functions for Efficient End-to-End Neural Audio Coding
Their papers
- End-to-End Neural Audio Coding in the MDCT Domain (2023) — 5 citations