The work "Contrastive Instance Association for 4D Panoptic Segmentation" by Rodrigo Marcuzzi et al. win the 4D LiDAR Panoptic Segmentation Challenge of the 6th ICCV Workshop on Benchmarking Multi-Target Tracking.
The challenge was be based on the Semantic KITTI dataset, which is densely labeled in the spatial and temporal domain. The task was to assign a semantic and unique instance label to every 3D LiDAR point.