16 citations · 19 across the 5 of their papers we have counts for
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cs.CV2019
xMUDA: Cross-Modal Unsupervised Domain Adaptation for 3D Semantic Segmentation
Maximilian Jaritz, Tuan-Hung Vu, Raoul de Charette +2
Unsupervised Domain Adaptation (UDA) is crucial to tackle the lack of annotations in a new domain. There are many multi-modal datasets, but most UDA approaches are uni-modal. In th…
cs.CV2019★ 3 cited
Multi-view PointNet for 3D Scene Understanding
Maximilian Jaritz, Jiayuan Gu, Hao Su
Fusion of 2D images and 3D point clouds is important because information from dense images can enhance sparse point clouds. However, fusion is challenging because 2D and 3D data li…