3 papers
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
HyGE-Occ: Hybrid View-Transformation with 3D Gaussian and Edge Priors for 3D Panoptic Occupancy Prediction
Jong Wook Kim, Wonseok Roh, Ha Dam Baek +3
3D Panoptic Occupancy Prediction aims to reconstruct a dense volumetric scene map by predicting the semantic class and instance identity of every occupied region in 3D space. Achie…