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04/06/2023
Exploiting the Complementarity of 2D and 3D Networks to Address Domain-Shift in 3D Semantic Segmentation
3D semantic segmentation is a critical task in many real-world applicati...
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02/10/2023
Deep Learning on Implicit Neural Representations of Shapes
Implicit Neural Representations (INRs) have emerged in the last few year...
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01/26/2023
Learning Good Features to Transfer Across Tasks and Domains
Availability of labelled data is the major obstacle to the deployment of...
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10/15/2022
Self-Distillation for Unsupervised 3D Domain Adaptation
Point cloud classification is a popular task in 3D vision. However, prev...
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10/21/2021
RefRec: Pseudo-labels Refinement via Shape Reconstruction for Unsupervised 3D Domain Adaptation
Unsupervised Domain Adaptation (UDA) for point cloud classification is a...
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10/13/2021
Plugging Self-Supervised Monocular Depth into Unsupervised Domain Adaptation for Semantic Segmentation
Although recent semantic segmentation methods have made remarkable progr...
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10/06/2021
