52 citations · 129 across the 11 of their papers we have counts for
11 papers
A Unified Multi-Phase CT Synthesis and Classification Framework for Kidney Cancer Diagnosis with Incomplete Data
Kwang-Hyun Uhm, Seung-Won Jung, Moon Hyung Choi +2
Multi-phase CT is widely adopted for the diagnosis of kidney cancer due to the complementary information among phases. However, the complete set of multi-phase CT is often not avai…
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…
Cross-domain Denoising for Low-dose Multi-frame Spiral Computed Tomography
Yucheng Lu, Zhixin Xu, Moon Hyung Choi +2
Computed tomography (CT) has been used worldwide as a non-invasive test to assist in diagnosis. However, the ionizing nature of X-ray exposure raises concerns about potential healt…
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…
RAWtoBit: A Fully End-to-end Camera ISP Network
Wooseok Jeong, Seung-Won Jung
Image compression is an essential and last processing unit in the camera image signal processing (ISP) pipeline. While many studies have been made to replace the conventional ISP p…
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…
Progressive Joint Low-light Enhancement and Noise Removal for Raw Images
Yucheng Lu, Seung-Won Jung
Low-light imaging on mobile devices is typically challenging due to insufficient incident light coming through the relatively small aperture, resulting in a low signal-to-noise rat…
GRDN:Grouped Residual Dense Network for Real Image Denoising and GAN-based Real-world Noise Modeling
Dong-Wook Kim, Jae Ryun Chung, Seung-Won Jung
Recent research on image denoising has progressed with the development of deep learning architectures, especially convolutional neural networks. However, real-world image denoising…