52 citations · 129 across the 11 of their papers we have counts for
6 papers · 1 filter
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…
MAIR: Multi-view Attention Inverse Rendering with 3D Spatially-Varying Lighting Estimation
JunYong Choi, SeokYeong Lee, Haesol Park +3
We propose a scene-level inverse rendering framework that uses multi-view images to decompose the scene into geometry, a SVBRDF, and 3D spatially-varying lighting. Because multi-vi…
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…
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…
Rethinking Coarse-to-Fine Approach in Single Image Deblurring
Sung-Jin Cho, Seo-Won Ji, Jun-Pyo Hong +2
Coarse-to-fine strategies have been extensively used for the architecture design of single image deblurring networks. Conventional methods typically stack sub-networks with multi-s…
Content-aware Directed Propagation Network with Pixel Adaptive Kernel Attention
Min-Cheol Sagong, Yoon-Jae Yeo, Seung-Won Jung +1
Convolutional neural networks (CNNs) have been not only widespread but also achieved noticeable results on numerous applications including image classification, restoration, and ge…