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07/27/2023
MapNeRF: Incorporating Map Priors into Neural Radiance Fields for Driving View Simulation
Simulating camera sensors is a crucial task in autonomous driving. Altho...
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10/26/2022
Learning a Task-specific Descriptor for Robust Matching of 3D Point Clouds
Existing learning-based point feature descriptors are usually task-agnos...
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10/26/2022
CU-Net: LiDAR Depth-Only Completion With Coupled U-Net
LiDAR depth-only completion is a challenging task to estimate dense dept...
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10/26/2022
Searching Dense Point Correspondences via Permutation Matrix Learning
Although 3D point cloud data has received widespread attentions as a gen...
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07/05/2022
Efficient Spatial-Temporal Information Fusion for LiDAR-Based 3D Moving Object Segmentation
Accurate moving object segmentation is an essential task for autonomous ...
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06/15/2022
Neural Deformable Voxel Grid for Fast Optimization of Dynamic View Synthesis
Recently, Neural Radiance Fields (NeRF) is revolutionizing the task of n...
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03/24/2022
VRNet: Learning the Rectified Virtual Corresponding Points for 3D Point Cloud Registration
3D point cloud registration is fragile to outliers, which are labeled as...
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03/24/2022
A Representation Separation Perspective to Correspondences-free Unsupervised 3D Point Cloud Registration
3D point cloud registration in remote sensing field has been greatly adv...
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11/29/2021
MUNet: Motion Uncertainty-aware Semi-supervised Video Object Segmentation
The task of semi-supervised video object segmentation (VOS) has been gre...
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10/28/2021