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08/28/2023
Compositional Semantic Mix for Domain Adaptation in Point Cloud Segmentation
Deep-learning models for 3D point cloud semantic segmentation exhibit li...
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04/23/2023
Walking Your LiDOG: A Journey Through Multiple Domains for LiDAR Semantic Segmentation
The ability to deploy robots that can operate safely in diverse environm...
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03/21/2023
Novel Class Discovery for 3D Point Cloud Semantic Segmentation
Novel class discovery (NCD) for semantic segmentation is the task of lea...
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10/17/2022
Overlap-guided Gaussian Mixture Models for Point Cloud Registration
Probabilistic 3D point cloud registration methods have shown competitive...
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10/06/2022
Data Augmentation-free Unsupervised Learning for 3D Point Cloud Understanding
Unsupervised learning on 3D point clouds has undergone a rapid evolution...
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07/20/2022
CoSMix: Compositional Semantic Mix for Domain Adaptation in 3D LiDAR Segmentation
3D LiDAR semantic segmentation is fundamental for autonomous driving. Se...
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07/20/2022
GIPSO: Geometrically Informed Propagation for Online Adaptation in 3D LiDAR Segmentation
3D point cloud semantic segmentation is fundamental for autonomous drivi...
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10/16/2020
SF-UDA^3D: Source-Free Unsupervised Domain Adaptation for LiDAR-Based 3D Object Detection
3D object detectors based only on LiDAR point clouds hold the state-of-t...
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01/01/2020
Low-Budget Unsupervised Label Query through Domain Alignment Enforcement
Deep learning revolution happened thanks to the availability of a massiv...
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10/03/2019
Incremental learning for the detection and classification of GAN-generated images
Current developments in computer vision and deep learning allow to autom...
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05/15/2019
