3 citations · 8 across the 5 of their papers we have counts for
5 papers
Uplifting Range-View-based 3D Semantic Segmentation in Real-Time with Multi-Sensor Fusion
Shiqi Tan, Hamidreza Fazlali, Yixuan Xu +2
Range-View(RV)-based 3D point cloud segmentation is widely adopted due to its compact data form. However, RV-based methods fall short in providing robust segmentation for the occlu…
AOP-Net: All-in-One Perception Network for Joint LiDAR-based 3D Object Detection and Panoptic Segmentation
Yixuan Xu, Hamidreza Fazlali, Yuan Ren +1
LiDAR-based 3D object detection and panoptic segmentation are two crucial tasks in the perception systems of autonomous vehicles and robots. In this paper, we propose All-in-One Pe…
A Versatile Multi-View Framework for LiDAR-based 3D Object Detection with Guidance from Panoptic Segmentation
Hamidreza Fazlali, Yixuan Xu, Yuan Ren +1
3D object detection using LiDAR data is an indispensable component for autonomous driving systems. Yet, only a few LiDAR-based 3D object detection methods leverage segmentation inf…
CPSeg: Cluster-free Panoptic Segmentation of 3D LiDAR Point Clouds
Enxu Li, Ryan Razani, Yixuan Xu +1
A fast and accurate panoptic segmentation system for LiDAR point clouds is crucial for autonomous driving vehicles to understand the surrounding objects and scenes. Existing approa…
SMAC-Seg: LiDAR Panoptic Segmentation via Sparse Multi-directional Attention Clustering
Enxu Li, Ryan Razani, Yixuan Xu +1
Panoptic segmentation aims to address semantic and instance segmentation simultaneously in a unified framework. However, an efficient solution of panoptic segmentation in applicati…