2026 Lars Petersson: Computer Science Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Computer Science	44	7716	7494	245	244	150	5572

Overview

Lars Petersson is affiliated with the Commonwealth Scientific and Industrial Research Organisation in Australia. Their research primarily spans the field of Computer Science, with a focus on Computer Vision and Pattern Recognition, Artificial Intelligence, Radiology, Nuclear Medicine and Imaging, Astronomy and Astrophysics, and Biomedical Engineering.

The scientist's publication record includes a significant number of works in the following venues:

arXiv (Cornell University)
Publications of the Astronomical Society of Australia
2021 IEEE/CVF International Conference on Computer Vision (ICCV)
Sensors
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)

Among their recent published papers are:

"Graph-Based Deep Learning for Medical Diagnosis and Analysis: Past, Present and Future" (2021), Sensors
"A survey on graph-based deep learning for computational histopathology" (2021), Computerized Medical Imaging and Graphics
"A Review of Hydrodynamic and Machine Learning Approaches for Flood Inundation Modeling" (2023), Water
"Underwater Image Restoration via Contrastive Learning and a Real-World Dataset" (2022), Remote Sensing
"Towards Open-Set Object Detection and Discovery" (2022), 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)

The main topics of their work cover diverse domains such as:

Domain Adaptation and Few-Shot Learning
Human Pose and Action Recognition
Anomaly Detection Techniques and Applications
Advanced Neural Network Applications
Video Surveillance and Tracking Methods
Multimodal Machine Learning Applications
Advanced Image Processing Techniques

Petersson has collaborated frequently with several researchers, including:

Mehrtash Harandi
David Ahmedt-Aristizabal
Mohammad Ali Armin
Zeeshan Hayder
Vivien Rolland

Best Publications

Statistical Threat Assessment for General Road Scenes Using Monte Carlo Sampling

A. Eidehall;L. Petersson

237
Citations
Improving Object Localization with Fitness NMS and Bounded IoU Loss

Lachlan Tychsen-Smith;Lars Petersson

230
Citations
Graph-Based Deep Learning for Medical Diagnosis and Analysis: Past, Present and Future

David Ahmedt-Aristizabal;David Ahmedt-Aristizabal;Mohammad Ali Armin;Simon Denman;Clinton Fookes

220
Citations
Dual Contrastive Learning for Unsupervised Image-to-Image Translation

Junlin Han;Mehrdad Shoeiby;Lars Petersson;Mohammad Ali Armin

219
Citations
Effective Use of Synthetic Data for Urban Scene Semantic Segmentation

Fatemeh Sadat Saleh;Mohammad Sadegh Aliakbarian;Mathieu Salzmann;Lars Petersson

182
Citations
Built-in Foreground/Background Prior for Weakly-Supervised Semantic Segmentation

Fatemehsadat Saleh;Fatemehsadat Saleh;Mohammad Sadegh Aliakbarian;Mohammad Sadegh Aliakbarian;Mathieu Salzmann;Mathieu Salzmann;Lars Petersson;Lars Petersson

180
Citations
Encouraging LSTMs to Anticipate Actions Very Early

Mohammad Sadegh Aliakbarian;Fatemeh Sadat Saleh;Mathieu Salzmann;Basura Fernando

180
Citations
A new pedestrian dataset for supervised learning

G. Overett;L. Petersson;N. Brewer;L. Andersson

162
Citations
Bilinear Attention Networks for Person Retrieval

Pengfei Fang;Jieming Zhou;Soumava Roy;Lars Petersson

161
Citations
Transferring Cross-Domain Knowledge for Video Sign Language Recognition

Dongxu Li;Xin Yu;Chenchen Xu;Lars Petersson

154
Citations
Semantic-aware Knowledge Distillation for Few-Shot Class-Incremental Learning

Ali Cheraghian;Shafin Rahman;Pengfei Fang;Soumava Kumar Roy

144
Citations
DeNet: Scalable Real-Time Object Detection with Directed Sparse Sampling

Lachlan Tychsen-Smith;Lars Petersson

135
Citations
Vision in and out of vehicles

L. Fletcher;N. Apostoloff;L. Petersson;A. Zelinsky

116
Citations
A Survey on Graph-Based Deep Learning for Computational Histopathology

David Ahmedt-Aristizabal;Mohammad Ali Armin;Simon Denman;Clinton Fookes

109
Citations
A Stochastic Conditioning Scheme for Diverse Human Motion Prediction

Sadegh Aliakbarian;Fatemeh Sadat Saleh;Mathieu Salzmann;Lars Petersson

107
Citations
GOGMA: Globally-Optimal Gaussian Mixture Alignment

Dylan Campbell;Lars Petersson

103
Citations
Driver assistance systems based on vision in and out of vehicles

L. Fletcher;L. Petersson;A. Zelinsky

100
Citations
Large scale sign detection using HOG feature variants

Gary Overett;Lars Petersson

97
Citations
Towards Open-Set Object Detection and Discovery

Unknown

89
Citations
Underwater Image Restoration via Contrastive Learning and a Real-world Dataset.

Junlin Han;Mehrdad Shoeiby;Tim J. Malthus;Elizabeth J. Botha

88
Citations
Visual Vehicle Egomotion Estimation using the Fourier-Mellin Transform

R. Goecke;A. Asthana;N. Pettersson;L. Petersson

75
Citations
Systems integration for real-world manipulation tasks

L. Petersson;P. Jensfelt;D. Tell;M. Strandberg

71
Citations
Built-in Foreground/Background Prior for Weakly-Supervised Semantic Segmentation

Fatemehsadat Saleh;Mohammad Sadegh Ali Akbarian;Mathieu Salzmann;Lars Petersson

31
Citations

Frequent Co-Authors

Mathieu Salzmann École Polytechnique Fédérale de Lausanne

Alexander Zelinsky University of Newcastle Australia

Simon Denman Queensland University of Technology

Stephen Gould Australian National University

Hongdong Li Australian National University

Clinton Fookes Queensland University of Technology

Nick Barnes Australian National University

Laurent Kneip ShanghaiTech University

Henrik I. Christensen University of California, San Diego

Basura Fernando Agency for Science, Technology and Research

External Links

Personal website of Lars Petersson Google Scholar page

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