Cooperative spectrum sensing in cognitive radio networks under primary user emulation attacks. - Maryam Haghighat; Seyed Mohammad Sajad Sadough (IST, 2012)

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)

Large-scale congestion analysis using compressed measurements. - Maryam Haghighat; Manoj K. Panda; Hai Le Vu; Hans van Lint (ITSC, 2016)

Lifting-based Illumination Adaptive Transform (LIAT) using mesh-based illumination modelling. - Maryam Haghighat; Reji Mathew; Aous Thabit Naman; David Taubman (ICIP, 2017)

Rate-Distortion Optimized Illumination Estimation for Wavelet-Based Video Coding. - Maryam Haghighat; Reji Mathew; Aous Thabit Naman; Sean I. Young; David Taubman (ICASSP, 2018)

Rate-Distortion Driven Separation of Diffuse and Specular Components in Multiview Imagery. - Maryam Haghighat; Reji Mathew; David Taubman (ICIP, 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 Overcomplete Decomposition of Imagery for Compression. - Maryam Haghighat (2019)

Rate-Distortion Driven Decomposition of Multiview Imagery to Diffuse and Specular Components. - Maryam Haghighat; Reji Mathew; David Taubman (IEEE Trans. Image Process., 2020)

Illumination Dataset. - Maryam Haghighat (IEEE DataPort, 2022)

Deep Robust Multi-Robot Re-Localisation in Natural Environments. - Milad Ramezani; Ethan Griffiths; Maryam Haghighat; Alex Pitt; Peyman Moghadam (IROS, 2023)

FactoFormer: Factorized Hyperspectral Transformers with Self-Supervised Pre-Training. - Shaheer Mohamed; Maryam Haghighat; Tharindu Fernando; Sridha Sridharan; Clinton Fookes; Peyman Moghadam (CoRR, 2023)

Pre-training with Random Orthogonal Projection Image Modeling. - Maryam Haghighat; Peyman Moghadam; Shaheer Mohamed; Piotr Koniusz (ICLR, 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)

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)

HOTFormerLoc: Hierarchical Octree Transformer for Versatile Lidar Place Recognition Across Ground and Aerial Views. - Ethan Griffiths; Maryam Haghighat; Simon Denman; Clinton Fookes; Milad Ramezani (CVPR, 2025)

Multimodal Fusion Learning with Dual Attention for Medical Imaging. - Joy Dhar; Nayyar Zaidi; Maryam Haghighat; Sudipta Roy 002; Puneet Goyal; Azadeh Alavi; Vikas Kumar (WACV, 2025)