Muhammad Ibrahim

Orcid: 0000-0002-5376-2477

Affiliations:
  • University of Western Australia (UWA), Department of Computer Science and Software Engineering, Perth, WA, Australia


According to our database1, Muhammad Ibrahim authored at least 16 papers between 2021 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2025
Multistream Network for LiDAR and Camera-based 3D Object Detection in Outdoor Scenes.
CoRR, July, 2025

LiDAR, GNSS and IMU Sensor Alignment through Dynamic Time Warping to Construct 3D City Maps.
CoRR, July, 2025

Geo-Registration of Terrestrial LiDAR Point Clouds with Satellite Images without GNSS.
CoRR, July, 2025

2024
Soft Masked Transformer for Point Cloud Processing with Skip Attention-Based Upsampling.
CoRR, 2024

Automated Road Extraction and Centreline Fitting in LiDAR Point Clouds.
Proceedings of the International Conference on Digital Image Computing: Techniques and Applications, 2024

Multispectral Remote Sensing for Weed Detection in West Australian Agricultural Lands.
Proceedings of the International Conference on Digital Image Computing: Techniques and Applications, 2024

High-Definition 3D Point Cloud Mapping of the City of Subiaco in Western Australia.
Proceedings of the International Conference on Digital Image Computing: Techniques and Applications, 2024

2023
SAT3D: Slot Attention Transformer for 3D Point Cloud Semantic Segmentation.
IEEE Trans. Intell. Transp. Syst., May, 2023

Perth-WA Localization Dataset in 3D Point Cloud Maps.
Dataset, March, 2023


UnLoc: A Universal Localization Method for Autonomous Vehicles using LiDAR, Radar and/or Camera Input.
IROS, 2023

Slice Transformer and Self-supervised Learning for 6DoF Localization in 3D Point Cloud Maps.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

2022
PC-Urban Outdoor dataset for 3D Point Cloud semantic segmentation.
Dataset, March, 2022

2021
Exploiting Structured CNNs for Semantic Segmentation of Unstructured Point Clouds from LiDAR Sensor.
Remote. Sens., 2021

Annotation Tool and Urban Dataset for 3D Point Cloud Semantic Segmentation.
IEEE Access, 2021

High Definition LiDAR mapping of Perth CBD.
Proceedings of the 2021 Digital Image Computing: Techniques and Applications, 2021


  Loading...