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07/07/2023
Universal Semi-supervised Model Adaptation via Collaborative Consistency Training
In this paper, we introduce a realistic and challenging domain adaptatio...
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04/20/2023
SCoDA: Domain Adaptive Shape Completion for Real Scans
3D shape completion from point clouds is a challenging task, especially ...
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03/10/2023
MVImgNet: A Large-scale Dataset of Multi-view Images
Being data-driven is one of the most iconic properties of deep learning ...
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05/09/2022
Multi-level Consistency Learning for Semi-supervised Domain Adaptation
Semi-supervised domain adaptation (SSDA) aims to apply knowledge learned...
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02/22/2022
PointMatch: A Consistency Training Framework for Weakly SupervisedSemantic Segmentation of 3D Point Clouds
Semantic segmentation of point cloud usually relies on dense annotation ...
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02/25/2020
FPConv: Learning Local Flattening for Point Convolution
We introduce FPConv, a novel surface-style convolution operator designed...
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03/09/2019
How Effectively Can Indoor Wireless Positioning Relieve Visual Tracking Pains: A Camera-Rao Bound Viewpoint
Visual tracking is fragile in some difficult scenarios, for instance, ap...
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01/18/2019
