16 citations · 20 across the 6 of their papers we have counts for
6 papers
ExBluRF: Efficient Radiance Fields for Extreme Motion Blurred Images
Dongwoo Lee, Jeongtaek Oh, Jaesung Rim +2
We present ExBluRF, a novel view synthesis method for extreme motion blurred images based on efficient radiance fields optimization. Our approach consists of two main components: 6…
Lightweight Monocular Depth Estimation via Token-Sharing Transformer
Dong-Jae Lee, Jae Young Lee, Hyounguk Shon +4
Depth estimation is an important task in various robotics systems and applications. In mobile robotics systems, monocular depth estimation is desirable since a single RGB camera ca…
DaRF: Boosting Radiance Fields from Sparse Inputs with Monocular Depth Adaptation
Jiuhn Song, Seonghoon Park, Honggyu An +4
Neural radiance fields (NeRF) shows powerful performance in novel view synthesis and 3D geometry reconstruction, but it suffers from critical performance degradation when the numbe…
Human Pose Estimation in Extremely Low-Light Conditions
Sohyun Lee, Jaesung Rim, Boseung Jeong +5
We study human pose estimation in extremely low-light images. This task is challenging due to the difficulty of collecting real low-light images with accurate labels, and severely…
Integrated In-vehicle Monitoring System Using 3D Human Pose Estimation and Seat Belt Segmentation
Ginam Kim, Hyunsung Kim, Joseph Kihoon Kim +3
Recently, along with interest in autonomous vehicles, the importance of monitoring systems for both drivers and passengers inside vehicles has been increasing. This paper proposes…
W-Net: Two-stage U-Net with misaligned data for raw-to-RGB mapping
Kwang-Hyun Uhm, Seung-Wook Kim, Seo-Won Ji +3
Recent research on learning a mapping between raw Bayer images and RGB images has progressed with the development of deep convolutional neural networks. A challenging data set name…