40 citations · 60 across the 17 of their papers we have counts for
6 papers · 1 filter
Hierarchical Memory Matching Network for Video Object Segmentation
Hongje Seong, Seoung Wug Oh, Joon-Young Lee +3
We present Hierarchical Memory Matching Network (HMMN) for semi-supervised video object segmentation. Based on a recent memory-based method [33], we propose two advanced memory rea…
Studying the Effects of Self-Attention for Medical Image Analysis
Adrit Rao, Jongchan Park, Sanghyun Woo +2
When the trained physician interprets medical images, they understand the clinical importance of visual features. By applying cognitive attention, they apply greater focus onto cli…
Unsupervised Learning of Debiased Representations with Pseudo-Attributes
Seonguk Seo, Joon-Young Lee, Bohyung Han
Dataset bias is a critical challenge in machine learning since it often leads to a negative impact on a model due to the unintended decision rules captured by spurious correlations…
APES: Audiovisual Person Search in Untrimmed Video
Juan Leon Alcazar, Long Mai, Federico Perazzi +4
Humans are arguably one of the most important subjects in video streams, many real-world applications such as video summarization or video editing workflows often require the autom…
Polygonal Point Set Tracking
Gunhee Nam, Miran Heo, Seoung Wug Oh +2
In this paper, we propose a novel learning-based polygonal point set tracking method. Compared to existing video object segmentation~(VOS) methods that propagate pixel-wise object…
Exemplar-Based Open-Set Panoptic Segmentation Network
Jaedong Hwang, Seoung Wug Oh, Joon-Young Lee +1
We extend panoptic segmentation to the open-world and introduce an open-set panoptic segmentation (OPS) task. This task requires performing panoptic segmentation for not only known…