Browse By Person: Haghighat, Maryam

Valitabar, Mahdi, Garcia Hansen, Veronica, & Haghighat, Maryam (2025) Human-shading Interaction in Shared Offices: An Experimental Study. Energy and Built Environment.

Griffiths, Ethan, Haghighat, Maryam, Denman, Simon, Fookes, Clinton, & Ramezani, Milad (2025) HOTFormerLoc: Hierarchical Octree Transformer for Versatile Lidar Place Recognition Across Ground and Aerial Views. In Proceedings of the 2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). Institute of Electrical and Electronics Engineers Inc., United States of America, pp. 6648-6658.

Dhar, Joy, Zaidi, Nayyar, Haghighat, Maryam, Roy, Sudipta, Goyal, Puneet, Alavi, Azadeh, & Kumar, Vikas (2025) Multimodal Fusion Learning with Dual Attention for Medical Imaging. In Proceedings of the 2025 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV). Institute of Electrical and Electronics Engineers Inc., United States of America, pp. 4362-4371.

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Carvalho de Lima, Lucas, Griffiths, Ethan, Haghighat, Maryam, Denman, Simon, Fookes, Clinton, Borges, Paulo, Brunig, Michael, & Ramezani, Milad (2025) Online 6DoF Global Localisation in Forests using Semantically-Guided Re-Localisation and Cross-View Factor-Graph Optimisation. In The 2025 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2025).

Browning, Lisa, Jesus, Christine, Malacrino, Stefano, Guan, Yue, White, Kieron, Puddle, Alison, Alham, Nasullah Khalid, Haghighat, Maryam, Colling, Richard, Birks, Jacqueline, Rittscher, Jens, & Verrill, Clare (2024) Artificial Intelligence-Based Quality Assessment of Histopathology Whole-Slide Images within a Clinical Workflow: Assessment of 'PathProfiler' in a Diagnostic Pathology Setting. Diagnostics, 14(10), Article number: 990.

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Mohamed, Shaheer, Haghighat, Maryam, Fernando, Tharindu, Sridharan, Sridha, Fookes, Clinton, & Moghadam, Peyman (2024) FactoFormer: Factorized Hyperspectral Transformers with Self-Supervised Pre-Training. IEEE Transactions on Geoscience and Remote Sensing, 62, Article number: 5501614.

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Haghighat, Maryam, Moghadam, Peyman, Mohamed, Shaheer, & Koniusz, Piotr (2024) Pre-training with Random Orthogonal Projection Image Modeling. In Proceedings of the Twelfth International Conference on Learning Representations (ICLR). OpenReview.net.

Ramezani, Milad, Griffiths, Ethan, Haghighat, Maryam, Pitt, Alex, & Moghadam, Peyman (2023) Deep Robust Multi-Robot Re-Localisation in Natural Environments. In Proceedings of the 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). Institute of Electrical and Electronics Engineers Inc., United States of America, pp. 3322-3328.

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Haghighat, Maryam, Browning, Lisa, Sirinukunwattana, Korsuk, Malacrino, Stefano, Khalid Alham, Nasullah, Colling, Richard, Cui, Ying, Rakha, Emad, Hamdy, Freddie C., Verrill, Clare, & Rittscher, Jens (2022) Automated quality assessment of large digitised histology cohorts by artificial intelligence. Scientific Reports, 12(1), Article number: 5002.

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Chatrian, Andrea, Colling, Richard T., Browning, Lisa, Alham, Nasullah Khalid, Sirinukunwattana, Korsuk, Malacrino, Stefano, Haghighat, Maryam, Aberdeen, Alan, Monks, Amelia, Moxley-Wyles, Benjamin, Rakha, Emad, Snead, David R.J., Rittscher, Jens, & Verrill, Clare (2021) Artificial intelligence for advance requesting of immunohistochemistry in diagnostically uncertain prostate biopsies. Modern Pathology, 34(9), pp. 1780-1794.

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Ali, Sharib, Bailey, Adam, Ash, Stephen, Haghighat, Maryam, Allan, Philip, Ambrose, Tim, Arancibia-Cárcamo, Carolina, Barnes, Ellie, Bird-Lieberman, Elizabeth, Bornschein, Jan, Brain, Oliver, Collier, Jane, Culver, Emma, Geremia, Alessandra, George, Bruce, Howarth, Lucy, Jones, Kelsey, Klenerman, Paul, Palmer, Rebecca, Powrie, Fiona, Rodrigues, Astor, Satsangi, Jack, Simmons, Alison, Travis, Simon, Uhlig, Holm, Walsh, Alissa, Leedham, Simon J., Lu, Xin, East, James E., Rittscher, Jens, Braden, Barbara, & other, and (2021) A Pilot Study on Automatic Three-Dimensional Quantification of Barrett's Esophagus for Risk Stratification and Therapy Monitoring. Gastroenterology, 161(3), 865-878.e8.

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Haghighat, Maryam, Mathew, Reji, & Taubman, David (2020) Rate-distortion driven decomposition of multiview imagery to diffuse and specular components. IEEE Transactions on Image Processing, 29, pp. 5469-5480.

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Haghighat, Maryam, Mathew, Reji, Naman, Aous, & Taubman, David (2019) Illumination Estimation and Compensation of Low Frame Rate Video Sequences for Wavelet-Based Video Compression. IEEE Transactions on Image Processing, 28(9), pp. 4313-4327.

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Haghighat, Maryam, Mathew, Reji, & Taubman, David (2019) Rate-Distortion Driven Separation of Diffuse and Specular Components in Multiview Imagery. In Proceedings of the 2019 IEEE International Conference on Image Processing (ICIP 2019). Institute of Electrical and Electronics Engineers Inc., United States of America, pp. 954-958.

Haghighat, Maryam, Mathew, Reji, Naman, Aous, Young, Sean, & Taubman, David (2018) Rate-distortion optimized illumination estimation for wavelet-based video coding. In Proceedings of the 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2018). Institute of Electrical and Electronics Engineers Inc., United States of America, pp. 1213-1217.

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Haghighat, Maryam, Mathew, Reji, Naman, Aous, & Taubman, David (2017) Lifting-based Illumination Adaptive Transform (LIAT) using mesh-based illumination modelling. In Proceedings of the 2017 IEEE International Conference on Image Processing (ICIP 2017). Institute of Electrical and Electronics Engineers Inc., United States of America, pp. 3006-3010.

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Haghighat, Maryam, Panda, Manoj, Vu, Hai L., & Van Lint, Hans (2016) Large-scale congestion analysis using compressed measurements. In Proceedings of the 2016 IEEE 19th International Conference on Intelligent Transportation Systems (ITSC). Institute of Electrical and Electronics Engineers Inc., United States of America, pp. 1684-1691.

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Haghighat, M. & Sadough, S. M.S. (2015) Smart primary user emulation in cognitive radio networks: Defence strategies against radio-aware attacks and robust spectrum sensing. Transactions on Emerging Telecommunications Technologies, 26(9), pp. 1154-1164.

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Haghighat, Maryam & Sadough, Seyed Mohammad Sajad (2014) Cooperative spectrum sensing for cognitive radio networks in the presence of smart malicious users. AEU - International Journal of Electronics and Communications, 68(6), pp. 520-527.

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Haghighat, Maryam, Fathi, Houshang, & Sadough, Seyed Mohammad Sajad (2012) Robust Resource Allocation for OFDM-based Cognitive Radio in the Presence of Primary User Emulation Attack. Radioengineering, 21(4), pp. 1085-1091.

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Haghighat, Maryam & Sadough, Seyed Mohammad Sajad (2012) Cooperative spectrum sensing in cognitive radio networks under primary user emulation attacks. In Proceedings of the 6th International Symposium on Telecommunications (IST). Institute of Electrical and Electronics Engineers Inc., United States of America, pp. 148-151.

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