6 papers
LiNeXt: Revisiting LiDAR Completion with Efficient Non-Diffusion Architectures
Wenzhe He, Xiaojun Chen, Ruiqi Wang +5
3D LiDAR scene completion from point clouds is a fundamental component of perception systems in autonomous vehicles. Previous methods have predominantly employed diffusion models f…
Self-Supervised Point Cloud Completion based on Multi-View Augmentations of Single Partial Point Cloud
Jingjing Lu, Huilong Pi, Yunchuan Qin +2
Point cloud completion aims to reconstruct complete shapes from partial observations. Although current methods have achieved remarkable performance, they still have some limitation…
Enhancing Gradient Variance and Differential Privacy in Quantum Federated Learning
Duc-Thien Phan, Minh-Duong Nguyen, Quoc-Viet Pham +1
Upon integrating Quantum Neural Network (QNN) as the local model, Quantum Federated Learning (QFL) has recently confronted notable challenges. Firstly, exploration is hindered over…
Leveraging Pre-trained Large Language Models with Refined Prompting for Online Task and Motion Planning
Huihui Guo, Huilong Pi, Yunchuan Qin +2
With the rapid advancement of artificial intelligence, there is an increasing demand for intelligent robots capable of assisting humans in daily tasks and performing complex operat…
VLScene: Vision-Language Guidance Distillation for Camera-Based 3D Semantic Scene Completion
Meng Wang, Huilong Pi, Ruihui Li +3
Camera-based 3D semantic scene completion (SSC) provides dense geometric and semantic perception for autonomous driving. However, images provide limited information making the mode…
CSubBT: A Self-Adjusting Execution Framework for Mobile Manipulation System
Huihui Guo, Huizhang Luo, Huilong Pi +3
With the advancements in modern intelligent technologies, mobile robots equipped with manipulators are increasingly operating in unstructured environments. These robots can plan se…