Maryam Haghighat

According to our database, Maryam Haghighat authored at least 27 papers between 2012 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

HOTFLoc++: End-to-End Hierarchical LiDAR Place Recognition, Re-Ranking, and 6-DoF Metric Localisation in Forests.

Ethan Griffiths, Maryam Haghighat, Simon Denman, Clinton Fookes, Milad Ramezani

IEEE Robotics Autom. Lett., July, 2026

Certified vs. Empirical Adversarial Robust-ness via Hybrid Convolutions with Attention Stochasticity.

Joy Dhar, Song Xia, Manish Kumar Pandey, Maryam Haghighat, Azadeh Alavi, Ferdous Sohel, Wenyu Zhang, Nayyar Zaidi

CoRR, May, 2026

Towards building robust models for unimodal and multimodal medical imaging data.

Joy Dhar, Puneet Goyal, Maryam Haghighat, Nayyar Zaidi, Ferdous Sohel, Quoc Bao Vo, KC Santosh

Inf. Fusion, 2026

Intra-Class Probabilistic Embeddings for Uncertainty Estimation in Vision-Language Models.

Zhenxiang Lin, Maryam Haghighat, Will Browne, Dimity Miller

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2026

HyPCA-Net: Advancing Multimodal Fusion in Medical Image Analysis.

Joy Dhar, Manish Kumar Pandey, Debashis Das Chakladar, Maryam Haghighat, Azadeh Alavi, Sajib Mistry, Nayyar Zaidi

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2026

Effective and Robust Multimodal Medical Image Analysis.

Joy Dhar, Nayyar Zaidi, Maryam Haghighat

Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.1, 2026

2025

A Comprehensive Survey on Multi-View Classification: Methods, Applications, and Challenges.

Kamal Berahmand, Fatemeh Daneshfar, Maryam Rahmaninia, Maryam Haghighat, Mahdi Jalili

ACM Trans. Intell. Syst. Technol., December, 2025

Transforming volcanic monitoring: A dataset and benchmark for onboard volcano activity detection.

Darshana Priyasad, Tharindu Fernando, Maryam Haghighat, Harshala Gammulle, Clinton Fookes

CoRR, October, 2025

Multimodal Fusion Learning with Dual Attention for Medical Imaging.

Joy Dhar, Nayyar Zaidi, Maryam Haghighat, Sudipta Roy, Puneet Goyal, Azadeh Alavi, Vikas Kumar

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2025

Online 6DoF Global Localisation in Forests using Semantically-Guided Re-Localisation and Cross-View Factor-Graph Optimisation.

Lucas Carvalho de Lima, Ethan Griffiths, Maryam Haghighat, Simon Denman, Clinton Fookes, Paulo V. K. Borges, Michael Brünig, Milad Ramezani

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2025

Neural Network Based Current Harmonic Predictions Using PCC Voltage Measurements in Distribution Networks.

Rhns Jayathissa, Firuz Zare, Simon Denman, Amir Taghvaie, Maryam Haghighat, Dinesh Kumar

Proceedings of the 51st Annual Conference of the IEEE Industrial Electronics Society, 2025

HOTFormerLoc: Hierarchical Octree Transformer for Versatile Lidar Place Recognition Across Ground and Aerial Views.

Ethan Griffiths, Maryam Haghighat, Simon Denman, Clinton Fookes, Milad Ramezani

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024

FactoFormer: Factorized Hyperspectral Transformers With Self-Supervised Pretraining.

Shaheer Mohamed, Maryam Haghighat, Tharindu Fernando, Sridha Sridharan, Clinton Fookes, Peyman Moghadam

IEEE Trans. Geosci. Remote. Sens., 2024

Online 6DoF Pose Estimation in Forests using Cross-View Factor Graph Optimisation and Deep Learned Re-localisation.

Lucas Carvalho de Lima, Ethan Griffiths, Maryam Haghighat, Simon Denman, Clinton Fookes, Paulo V. K. Borges, Michael Brünig, Milad Ramezani

CoRR, 2024

Pre-training with Random Orthogonal Projection Image Modeling.

Maryam Haghighat, Peyman Moghadam, Shaheer Mohamed, Piotr Koniusz

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

FactoFormer: Factorized Hyperspectral Transformers with Self-Supervised Pre-Training.

Shaheer Mohamed, Maryam Haghighat, Tharindu Fernando, Sridha Sridharan, Clinton Fookes, Peyman Moghadam

CoRR, 2023

Deep Robust Multi-Robot Re-Localisation in Natural Environments.

Milad Ramezani, Ethan Griffiths, Maryam Haghighat, Alex Pitt, Peyman Moghadam

IROS, 2023

2022

Illumination Dataset.

Maryam Haghighat

Dataset, May, 2022

2020

Rate-Distortion Driven Decomposition of Multiview Imagery to Diffuse and Specular Components.

Maryam Haghighat, Reji Mathew, David Taubman

IEEE Trans. Image Process., 2020

2019

Rate-Distortion Driven Overcomplete Decomposition of Imagery for Compression.

Maryam Haghighat

PhD thesis, 2019

Illumination Estimation and Compensation of Low Frame Rate Video Sequences for Wavelet-Based Video Compression.

Maryam Haghighat, Reji Mathew, Aous Thabit Naman, David Taubman

IEEE Trans. Image Process., 2019

Rate-Distortion Driven Separation of Diffuse and Specular Components in Multiview Imagery.

Maryam Haghighat, Reji Mathew, David Taubman

Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

2018

Rate-Distortion Optimized Illumination Estimation for Wavelet-Based Video Coding.

Maryam Haghighat, Reji Mathew, Aous Thabit Naman, Sean I. Young, David Taubman

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

2017

Lifting-based Illumination Adaptive Transform (LIAT) using mesh-based illumination modelling.

Maryam Haghighat, Reji Mathew, Aous Thabit Naman, David Taubman

Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

2016

Large-scale congestion analysis using compressed measurements.

Maryam Haghighat, Manoj K. Panda, Hai Le Vu, Hans van Lint

Proceedings of the 19th IEEE International Conference on Intelligent Transportation Systems, 2016

2015

Smart primary user emulation in cognitive radio networks: defence strategies against radio-aware attacks and robust spectrum sensing.

Maryam Haghighat, Seyed Mohammad Sajad Sadough

Trans. Emerg. Telecommun. Technol., 2015

2012

Cooperative spectrum sensing in cognitive radio networks under primary user emulation attacks.

Maryam Haghighat, Seyed Mohammad Sajad Sadough

Proceedings of the 6th International Symposium on Telecommunications, 2012