2 citations · 4 across the 6 of their papers we have counts for
6 papers
Motion Cues from Image-based Point Tracking for LiDAR Scene Flow Estimation
Youngdong Jang, Gyeongrok Oh, Jong Wook Kim +6
LiDAR scene flow estimation is essential for autonomous driving, as it provides 3D motion for each point. Self-supervised approaches use static-dynamic classification to mitigate t…
Training-Free Global Geometric Association for 4D LiDAR Panoptic Segmentation
Gyeongrok Oh, Youngdong Jang, Jonghyun Choi +3
Dominant paradigms for 4D LiDAR panoptic segmentation are usually required to train deep neural networks with large superimposed point clouds or design dedicated modules for instan…
CompMarkGS: Robust Watermarking for Compressed 3D Gaussian Splatting
Sumin In, Youngdong Jang, Utae Jeong +4
As 3D Gaussian Splatting (3DGS) is increasingly adopted in various academic and commercial applications due to its high-quality and real-time rendering capabilities, the need for c…
LVMark: Robust Watermark for Latent Video Diffusion Models
Youngdong Jang, MinHyuk Jang, JaeHyeok Lee +4
Rapid advancements in video diffusion models have enabled the creation of realistic videos, raising concerns about unauthorized use and driving the demand for techniques to protect…
3D-GSW: 3D Gaussian Splatting for Robust Watermarking
Youngdong Jang, Hyunje Park, Feng Yang +3
As 3D Gaussian Splatting (3D-GS) gains significant attention and its commercial usage increases, the need for watermarking technologies to prevent unauthorized use of the 3D-GS mod…
WateRF: Robust Watermarks in Radiance Fields for Protection of Copyrights
Youngdong Jang, Dong In Lee, MinHyuk Jang +3
The advances in the Neural Radiance Fields (NeRF) research offer extensive applications in diverse domains, but protecting their copyrights has not yet been researched in depth. Re…