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From the 1 of 5 linked papers with an AI index.

most citedLVMark: Robust Watermark for Latent Video Diffusion Models

1 citations · 1 across the 1 of their papers we have counts for

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5 papers

cs.CV20261 cited

LVMark: Robust Watermark for Latent Video Diffusion Models

Youngdong Jang, MinHyuk Jang, JaeHyeok Lee +4

The paper presents LVMark, a method for embedding invisible, robust watermarks into videos generated by latent video diffusion models, using a temporally consistent decoder and imp…

cs.CV2026

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…

cs.CV2026

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…

cs.CV2025

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…

cs.CV2025

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…