27 citations · 55 across the 3 of their papers we have counts for
3 papers
cs.CV2021★ 18 cited
Label-Efficient Point Cloud Semantic Segmentation: An Active Learning Approach
Xian Shi, Xun Xu, Ke Chen +3
Deep learning models are the state-of-the-art methods for semantic point cloud segmentation, the success of which relies on the availability of large-scale annotated datasets. Howe…
cs.CV2020★ 27 cited
A Generalized Asymmetric Dual-front Model for Active Contours and Image Segmentation
Da Chen, Jack Spencer, Jean-Marie Mirebeau +3
The Voronoi diagram-based dual-front active contour models are known as a powerful and efficient way for addressing the image segmentation and domain partitioning problems. In the…
cs.CV2019★ 10 cited
Geometry-Aware Generation of Adversarial Point Clouds
Yuxin Wen, Jiehong Lin, Ke Chen +2
Machine learning models have been shown to be vulnerable to adversarial examples. While most of the existing methods for adversarial attack and defense work on the 2D image domain,…