Media Summary: R. Marcuzzi, L. Nunes, L. Wiesmann, I. Vizzo, J. Behley, and C. Stachniss, “Contrastive Instance Association for 4D PanDA:Unsupervised Domain Adaptation for Multimodal 3D Panoptic Segmentation in Autonomous Driving [NeurIPS 25] IPFormer: Visual 3D Panoptic Scene Completion with Context-Adaptive Instance Proposals
3d Panoptic Segmentation - Detailed Analysis & Overview
R. Marcuzzi, L. Nunes, L. Wiesmann, I. Vizzo, J. Behley, and C. Stachniss, “Contrastive Instance Association for 4D PanDA:Unsupervised Domain Adaptation for Multimodal 3D Panoptic Segmentation in Autonomous Driving [NeurIPS 25] IPFormer: Visual 3D Panoptic Scene Completion with Context-Adaptive Instance Proposals October 11, 2024 Laura Leal-Taixé, NVIDIA In this talk, I will discuss how to train models for detection and The video shows some examples of how ForAINet works across various types of very high resolution laser scanning data. A video presentation of the CVPR2023 Highlight paper "Open-Vocabulary