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Ardian Umam

2 accepted papers

2024

PartDistill: 3D Shape Part Segmentation by Vision-Language Model Distillation

CVPR 2024poster

This paper proposes a cross-modal distillation framework PartDistill which transfers 2D knowledge from vision-language models (VLMs) to facilitate 3D shape part segmentation. PartDistill addresses three major challenges in this task: the lack of 3D segmentation in invisible or undetected regions in…

2022

Point MixSwap: Attentional Point Cloud Mixing via Swapping Matched Structural Divisions

ECCV 2022poster

"Data augmentation is developed for increasing the amount and diversity of training data to enhance model learning. Compared to 2D images, point clouds, with the 3D geometric nature as well as the high collection and annotation costs, pose great challenges and potentials for augmentation. This paper…