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11/11/2022
LiDAL: Inter-frame Uncertainty Based Active Learning for 3D LiDAR Semantic Segmentation
We propose LiDAL, a novel active learning method for 3D LiDAR semantic s...
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04/19/2022
VCoach: A Customizable Visualization and Analysis System for Video-based Running Coaching
Videos are accessible media for analyzing sports postures and providing ...
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03/22/2022
TransFusion: Robust LiDAR-Camera Fusion for 3D Object Detection with Transformers
LiDAR and camera are two important sensors for 3D object detection in au...
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08/19/2021
Learning to Match Features with Seeded Graph Matching Network
Matching local features across images is a fundamental problem in comput...
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07/29/2021
VMNet: Voxel-Mesh Network for Geodesic-Aware 3D Semantic Segmentation
In recent years, sparse voxel-based methods have become the state-of-the...
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03/09/2021
PointDSC: Robust Point Cloud Registration using Deep Spatial Consistency
Removing outlier correspondences is one of the critical steps for succes...
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07/14/2020
JSENet: Joint Semantic Segmentation and Edge Detection Network for 3D Point Clouds
Semantic segmentation and semantic edge detection can be seen as two dua...
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03/12/2020
End-to-End Learning Local Multi-view Descriptors for 3D Point Clouds
In this work, we propose an end-to-end framework to learn local multi-vi...
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03/06/2020
D3Feat: Joint Learning of Dense Detection and Description of 3D Local Features
A successful point cloud registration often lies on robust establishment...
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11/20/2018
Sketch-R2CNN: An Attentive Network for Vector Sketch Recognition
Freehand sketching is a dynamic process where points are sequentially sa...
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07/31/2018