activity
20172024
most citedA Versatile Multi-View Framework for LiDAR-based 3D Object Detection with Guidance from Panoptic Segmentation

3 citations · 6 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2024

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…

cs.CV2024★ 1 cited

AutoSplat: Constrained Gaussian Splatting for Autonomous Driving Scene Reconstruction

Mustafa Khan, Hamidreza Fazlali, Dhruv Sharma +4

Realistic scene reconstruction and view synthesis are essential for advancing autonomous driving systems by simulating safety-critical scenarios. 3D Gaussian Splatting excels in re…

cs.CV2023★ 2 cited

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…

cs.CV2022★ 3 cited

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…

cs.CV2017

Vessel Segmentation and Catheter Detection in X-Ray Angiograms Using Superpixels

Hamid R. Fazlali, Nader Karimi, S. M. Reza Soroushmehr +5

Coronary artery disease (CAD) is the leading causes of death around the world. One of the most common imaging methods for diagnosing this disease is X-ray angiography. Diagnosing u…