29 citations · 75 across the 16 of their papers we have counts for
4 papers · 1 filter
Blurry Video Compression: A Trade-off between Visual Enhancement and Data Compression
Dawit Mureja Argaw, Junsik Kim, In So Kweon
Existing video compression (VC) methods primarily aim to reduce the spatial and temporal redundancies between consecutive frames in a video while preserving its quality. In this re…
Sound Source Localization is All about Cross-Modal Alignment
Arda Senocak, Hyeonggon Ryu, Junsik Kim +3
Humans can easily perceive the direction of sound sources in a visual scene, termed sound source localization. Recent studies on learning-based sound source localization have mainl…
An Iterative Method for Unsupervised Robust Anomaly Detection Under Data Contamination
Minkyung Kim, Jongmin Yu, Junsik Kim +2
Most deep anomaly detection models are based on learning normality from datasets due to the difficulty of defining abnormality by its diverse and inconsistent nature. Therefore, it…
ENInst: Enhancing Weakly-supervised Low-shot Instance Segmentation
Moon Ye-Bin, Dongmin Choi, Yongjin Kwon +2
We address a weakly-supervised low-shot instance segmentation, an annotation-efficient training method to deal with novel classes effectively. Since it is an under-explored problem…