Kourosh Khoshelham

Has grant

University of Melbourne

Australia

Research Interests

Explore related searches

Professors in Australia Professors in Computer Vision Computer Vision professors in Australia

Contact this professor

Get a free first email built on one of their papers, ready for you to edit and send yourself.

Recent Grants

Grant: Close

Self-healing maps: Protecting maps through automatic updating processes

Open Date: 2017-01-01

Close Date: 2019-12-31

Articles (10)

Year:

2023

Year:

2023

Year:

2023

Year:

2022

Year:

2022

Year:

2022

Year:

2021

Year:

2021

Year:

2021

Year:

2021

Collaborators (6)

Debaditya Acharya

Lecturer

RMIT University

AUSTRALIA

View details

Stephan Winter

University of Melbourne

AUSTRALIA

View details

Shahla Hosseini Bai

Associate Professor in Agroecology

Griffith University

AUSTRALIA

View details

Stephen J. Trueman

Griffith University

AUSTRALIA

View details

Amir Khodabandeh

Lecturer

University of Melbourne

AUSTRALIA

View details

Wiebke Kämper

University of Göttingen

GERMANY

View details

ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts before you send them.

Kourosh Khoshelham

Research Interests

Explore related searches

Contact this professor

Recent Grants

Articles (10)

Estimating the Ripeness of Hass Avocado Fruit Using Deep Learning with Hyperspectral Imaging

Interior structural change detection using a 3D model and LiDAR segmentation

Synthetic-real image domain adaptation for indoor camera pose regression using a 3D model

Centimeter-level positioning by instantaneous lidar-aided GNSS ambiguity resolution

Pedestrian Origin–Destination Estimation Based on Multi-Camera Person Re-Identification

Decentralized spreading of ephemeral road incident information between vehicles

Seamless Vehicle Positioning by Lidar-GNSS Integration: Standalone and Multi-Epoch Scenarios

Pose-aware monocular localization of occluded pedestrians in 3D scene space

Results of the ISPRS benchmark on indoor modelling

ReCRNet: a deep residual network for crack detection in historical buildings

Collaborators (6)

Debaditya Acharya

Stephan Winter

Shahla Hosseini Bai

Stephen J. Trueman

Amir Khodabandeh

Wiebke Kämper

Make your next move.