A Dual Attention KPConv Network Combined with Attention Gates for Semantic Segmentation of ALS Point Clouds
J Zhao, H Zhou, F Pan - IEEE Transactions on Geoscience and …, 2024 - ieeexplore.ieee.org
Kernel point convolution (KPConv) defines convolutional weights based on Euclidean
distances between kernel points and input points and has shown good segmentation results …
distances between kernel points and input points and has shown good segmentation results …
Approximate Inference Particle Filtering for Mobile Robot SLAM
This paper proposes approximate inference particle filtering for mobile robot simultaneous
localization and mapping (SLAM) with landmarks. Range-bearing measurements are …
localization and mapping (SLAM) with landmarks. Range-bearing measurements are …
VQA-Diff: Exploiting VQA and Diffusion for Zero-Shot Image-to-3D Vehicle Asset Generation in Autonomous Driving
Generating 3D vehicle assets from in-the-wild observations is crucial to autonomous driving.
Existing image-to-3D methods cannot well address this problem because they learn …
Existing image-to-3D methods cannot well address this problem because they learn …
Learning Effective NeRFs and SDFs Representations with 3D Generative Adversarial Networks for 3D Object Generation: Technical Report for ICCV 2023 …
In this technical report, we present a solution for 3D object generation of ICCV 2023
OmniObject3D Challenge. In recent years, 3D object generation has made great process …
OmniObject3D Challenge. In recent years, 3D object generation has made great process …
[PDF][PDF] Implicit Semantic Scene Surface Reconstruction from Point Clouds
W Cai - ipi.uni-hannover.de
In the realm of semantic scene surface reconstruction research, which involves the dual
tasks of 3D reconstruction and semantic segmentation, effectively leveraging the synergistic …
tasks of 3D reconstruction and semantic segmentation, effectively leveraging the synergistic …