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04/02/2023
One Training for Multiple Deployments: Polar-based Adaptive BEV Perception for Autonomous Driving
Current on-board chips usually have different computing power, which mea...
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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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08/04/2022
Vision-Centric BEV Perception: A Survey
Vision-centric BEV perception has recently received increased attention ...
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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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03/23/2020
ASLFeat: Learning Local Features of Accurate Shape and Localization
This work focuses on mitigating two limitations in the joint learning of...
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03/06/2020