11 citations · 30 across the 12 of their papers we have counts for
12 papers
SHUNIT: Style Harmonization for Unpaired Image-to-Image Translation
Seokbeom Song, Suhyeon Lee, Hongje Seong +2
We propose a novel solution for unpaired image-to-image (I2I) translation. To translate complex images with a wide range of objects to a different domain, recent approaches often u…
Domain Adaptive Video Semantic Segmentation via Cross-Domain Moving Object Mixing
Kyusik Cho, Suhyeon Lee, Hongje Seong +1
The network trained for domain adaptation is prone to bias toward the easy-to-transfer classes. Since the ground truth label on the target domain is unavailable during training, th…
One-Trimap Video Matting
Hongje Seong, Seoung Wug Oh, Brian Price +2
Recent studies made great progress in video matting by extending the success of trimap-based image matting to the video domain. In this paper, we push this task toward a more pract…
Correlation Verification for Image Retrieval
Seongwon Lee, Hongje Seong, Suhyeon Lee +1
Geometric verification is considered a de facto solution for the re-ranking task in image retrieval. In this study, we propose a novel image retrieval re-ranking network named Corr…
WildNet: Learning Domain Generalized Semantic Segmentation from the Wild
Suhyeon Lee, Hongje Seong, Seongwon Lee +1
We present a new domain generalized semantic segmentation network named WildNet, which learns domain-generalized features by leveraging a variety of contents and styles from the wi…
Iteratively Selecting an Easy Reference Frame Makes Unsupervised Video Object Segmentation Easier
Youngjo Lee, Hongje Seong, Euntai Kim
Unsupervised video object segmentation (UVOS) is a per-pixel binary labeling problem which aims at separating the foreground object from the background in the video without using t…