3 papers
cs.CV2023
Hierarchical Spatiotemporal Transformers for Video Object Segmentation
Jun-Sang Yoo, Hongjae Lee, Seung-Won Jung
This paper presents a novel framework called HST for semi-supervised video object segmentation (VOS). HST extracts image and video features using the latest Swin Transformer and Vi…
cs.CV2022
RZSR: Reference-based Zero-Shot Super-Resolution with Depth Guided Self-Exemplars
Jun-Sang Yoo, Dong-Wook Kim, Yucheng Lu +1
Recent methods for single image super-resolution (SISR) have demonstrated outstanding performance in generating high-resolution (HR) images from low-resolution (LR) images. However…
cs.CV2022
GPS-GLASS: Learning Nighttime Semantic Segmentation Using Daytime Video and GPS data
Hongjae Lee, Changwoo Han, Jun-Sang Yoo +1
Semantic segmentation for autonomous driving should be robust against various in-the-wild environments. Nighttime semantic segmentation is especially challenging due to a lack of a…