no code implementations • CVPR 2023 • MyeongAh Cho, Minjung Kim, Sangwon Hwang, Chaewon Park, Kyungjae Lee, Sangyoun Lee
Furthermore, as the relationship between context and motion is important in order to identify the anomalies in complex and diverse scenes, we propose a Context--Motion Interrelation Module (CoMo), which models the relationship between the appearance of the surroundings and motion, rather than utilizing only temporal dependencies or motion information.
no code implementations • 27 Jul 2021 • Sungmin Woo, Dogyoon Lee, Sangwon Hwang, Woojin Kim, Sangyoun Lee
In this paper, we present Multidimensional Kernel Convolution (MKConv), a novel convolution operator that learns to transform the point feature representation from a vector to a multidimensional matrix.
Ranked #13 on 3D Part Segmentation on ShapeNet-Part
no code implementations • 16 Jun 2021 • Minhyeok Lee, Sangwon Hwang, Chaewon Park, Sangyoun Lee
Monocular depth estimation is an especially important task in robotics and autonomous driving, where 3D structural information is essential.
1 code implementation • 14 Feb 2021 • Minhyeok Lee, Junhyeop Lee, Dogyoon Lee, Woojin Kim, Sangwon Hwang, Sangyoun Lee
Modern deep learning methods achieve high performance in lane detection, but it is still difficult to accurately detect lanes in challenging situations such as congested roads and extreme lighting conditions.
Ranked #42 on Lane Detection on CULane
no code implementations • 27 May 2020 • Sungmin Woo, Sangwon Hwang, Woojin Kim, Junhyeop Lee, Dogyoon Lee, Sangyoun Lee
Recently, researchers have been leveraging LiDAR point cloud for higher accuracy in 3D vehicle detection.
no code implementations • 7 Jan 2020 • Joosung Lee, Sangwon Hwang, Kyungjae Lee, Woo Jin Kim, Junhyeop Lee, Tae-young Chung, Sangyoun Lee
Visual odometry is an essential key for a localization module in SLAM systems.
no code implementations • 19 Dec 2019 • Jeonghyeon Jang, Hoon Lee, Sangwon Hwang, Haibao Ren, Inkyu Lee
We study a deep learning (DL) based limited feedback methods for multi-antenna systems.