Jongmo Sung
Signal Processing · 2019–2020
A researcher in the Science corpus: 2 papers; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Signal Processing — 25 citations into it
- Computer Vision and Pattern Recognition — 23 citations into it
- Speech & Audio — 17 citations into it
- Artificial Intelligence — 15 citations into it
- Efficiency & Compression — 5 citations into it
- Optimization & Training — 5 citations into it
Whom Jongmo Sung trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Srihari Kankanahalli
- Kaiming He
- Diederik P. Kingma
- X. Zhang
- Jimmy Ba
- Minje Kim
- Geoffrey E. Hinton
- Carla Lopes
- Eirikur Agustsson
- Wenzhe Shi
Who trusts Jongmo Sung overall
Papers from Jongmo Sung's perspective
Ordered by how strongly the researchers Jongmo Sung trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet classification with deep convolutional neural networks
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- ImageNet Large Scale Visual Recognition Challenge
- Going deeper with convolutions
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
Their papers
- Psychoacoustic Calibration of Loss Functions for Efficient End-to-End Neural Audio Coding (2020) — 28 citations
- Cascaded Cross-Module Residual Learning towards Lightweight End-to-End Speech Coding (2019) — 43 citations