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Kourosh Khoshelham

Kourosh Khoshelham

D-Index & Metrics

Computer Science

D-Index
41
Citations
9093
World Ranking
8695
National Ranking
265

Overview

Kourosh Khoshelham is affiliated with the University of Melbourne in Australia. Their research primarily spans the fields of Engineering and Computer Science, with notable contributions in subfields such as Computer Vision and Pattern Recognition, Geology, Environmental Engineering, Aerospace Engineering, and Civil and Structural Engineering.

Their work extensively covers topics related to 3D Surveying and Cultural Heritage, Remote Sensing and LiDAR Applications, Robotics and Sensor-Based Localization, Augmented Reality Applications, Video Surveillance and Tracking Methods, Infrastructure Maintenance and Monitoring, and Indoor and Outdoor Localization Technologies.

Frequent publication venues for their research include:

  • ISPRS annals of the photogrammetry, remote sensing and spatial information sciences
  • The "international archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences
  • arXiv (Cornell University)
  • ISPRS Journal of Photogrammetry and Remote Sensing
  • Remote Sensing

Khoshelham has co-authored numerous papers with collaborators such as Martin Tomko, Stephan Winter, Debaditya Acharya, Marko Radanović, and Hang Zhao.

Some of their recent published papers include:

  • "Real-time monitoring of construction sites: Sensors, methods, and applications," 2022, Automation in Construction
  • "InSiNet: a deep convolutional approach to skin cancer detection and segmentation," 2022, Medical & Biological Engineering & Computing
  • "Individual tree extraction from urban mobile laser scanning point clouds using deep pointwise direction embedding," 2021, ISPRS Journal of Photogrammetry and Remote Sensing
  • "A digital twin approach for geometric quality assessment of as-built prefabricated façades," 2021, Journal of Building Engineering
  • "MS-RRFSegNet: Multiscale Regional Relation Feature Segmentation Network for Semantic Segmentation of Urban Scene Point Clouds," 2020, IEEE Transactions on Geoscience and Remote Sensing

Khoshelham has also contributed to book publications, including a work published by Springer Nature titled "Proceedings of UASG 2019" released in 2020.

Best Publications

  • Accuracy and Resolution of Kinect Depth Data for Indoor Mapping Applications

    Kourosh Khoshelham;Sander Oude Elberink

  • Accuracy Analysis of Kinect Depth Data

    K. Khoshelham

  • ACCURACY ANALYSIS OF KINECT DEPTH DATA

    K Khoshelham

  • Real-time monitoring of construction sites: Sensors, methods, and applications

    Unknown

  • Performance evaluation of automated approaches to building detection in multi-source aerial data

    Kourosh Khoshelham;Carla Nardinocchi;Emanuele Frontoni;Adriano Mancini

  • Indoor Localization Improved by Spatial Context—A Survey

    Fuqiang Gu;Xuke Hu;Milad Ramezani;Debaditya Acharya

  • Effect of slope on treetop detection using a LiDAR Canopy Height Model

    Anahita Khosravipour;Andrew K. Skidmore;Tiejun Wang;Martin Isenburg

  • Locomotion Activity Recognition Using Stacked Denoising Autoencoders

    Fuqiang Gu;Kourosh Khoshelham;Shahrokh Valaee;Jianga Shang

  • Robust and Accurate Smartphone-Based Step Counting for Indoor Localization

    Fuqiang Gu;Kourosh Khoshelham;Jianga Shang;Fangwen Yu

  • Accurate Step Length Estimation for Pedestrian Dead Reckoning Localization Using Stacked Autoencoders

    Fuqiang Gu;Kourosh Khoshelham;Chunyang Yu;Jianga Shang

  • BIM-PoseNet: Indoor camera localisation using a 3D indoor model and deep learning from synthetic images

    Debaditya Acharya;Kourosh Khoshelham;Stephan Winter

  • Extending generalized hough transform to detect 3D objects in laser range data

    Kourosh Khoshelham

  • 3D modeling of building indoor spaces and closed doors from imagery and point clouds

    Lucía Díaz-Vilariño;Kourosh Khoshelham;Joaquín Martínez-Sánchez;Pedro Arias

  • THE ISPRS BENCHMARK ON INDOOR MODELLING

    K. Khoshelham;L. Díaz Vilariño;L. Díaz Vilariño;M. Peter;Z. Kang

  • Assessment of relative accuracy of AHN-2 laser scanning data using planar features.

    Corné van der Sande;Sylvie Soudarissanane;Kourosh Khoshelham

  • 3D Modelling of interior spaces : learning the language of indoor architecture

    K. Khoshelham;L. Díaz-Vilariño

  • Evaluation of a LIDAR Land-Based Mobile Mapping System for Monitoring Sandy Coasts

    M. Bitenc;R.C. Lindenbergh;K. Khoshelham;A.P. Van Waarden

  • A digital twin approach for geometric quality assessment of as-built prefabricated facades

    Ha Tran;Tuan Ngoc Nguyen;Philip Christopher;Dac-Khuong Bui

  • Shape Grammar Approach to 3D Modeling of Indoor Environments Using Point Clouds

    H. Tran;K. Khoshelham;A. Kealy;L. Díaz-Vilariño

  • Influence of range measurement noise on roughness characterization of rock surfaces using terrestrial laser scanning

    Kourosh Khoshelham;Kourosh Khoshelham;Dogan Altundag;Dominique Ngan-Tillard;Massimo Menenti

  • RAIL TRACK DETECTION AND MODELLING IN MOBILE LASER SCANNER DATA

    S.J. Oude Elberink;K. Khoshelham;M. Arastounia;D. Díaz Benito

  • Real-time image-based parking occupancy detection using deep learning

    Debaditya Acharya;Weilin Yan;Kourosh Khoshelham

Frequent Co-Authors

Clive S. Fraser
Clive S. Fraser University of Melbourne
Stephan Winter
Stephan Winter University of Melbourne
Shahrokh Valaee
Shahrokh Valaee University of Toronto
Massimo Menenti
Massimo Menenti Delft University of Technology
Zhilin Li
Zhilin Li Hong Kong Polytechnic University
Majid Sarvi
Majid Sarvi University of Melbourne
Devis Tuia
Devis Tuia École Polytechnique Fédérale de Lausanne
Henrique Lorenzo
Henrique Lorenzo Universidade de Vigo
Abbas Rajabifard
Abbas Rajabifard University of Melbourne
George Vosselman
George Vosselman University of Twente

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