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2020 – today
- 2024
[j4]Shaheer Mohamed
, Maryam Haghighat, Tharindu Fernando, Sridha Sridharan, Clinton Fookes, Peyman Moghadam:
FactoFormer: Factorized Hyperspectral Transformers With Self-Supervised Pretraining. IEEE Trans. Geosci. Remote. Sens. 62: 1-14 (2024)- [c7]Maryam Haghighat, Peyman Moghadam, Shaheer Mohamed, Piotr Koniusz:
Pre-training with Random Orthogonal Projection Image Modeling. ICLR 2024 - [i5]Lucas Carvalho de Lima, Ethan Griffiths, Maryam Haghighat, Simon Denman, Clinton Fookes, Paulo V. K. Borges, Michael Brünig, Milad Ramezani:
Online 6DoF Pose Estimation in Forests using Cross-View Factor Graph Optimisation and Deep Learned Re-localisation. CoRR abs/2409.16680 (2024) - [i4]Joy Dhar, Nayyar Zaidi, Maryam Haghighat, Puneet Goyal, Sudipta Roy, Azadeh Alavi, Vikas Kumar:
Multimodal Fusion Learning with Dual Attention for Medical Imaging. CoRR abs/2412.01248 (2024) - 2023
- [c6]Milad Ramezani, Ethan Griffiths, Maryam Haghighat, Alex Pitt, Peyman Moghadam:
Deep Robust Multi-Robot Re-Localisation in Natural Environments. IROS 2023: 3322-3328 - [i3]Milad Ramezani, Ethan Griffiths, Maryam Haghighat, Alex Pitt, Peyman Moghadam:
Deep Robust Multi-Robot Re-localisation in Natural Environments. CoRR abs/2307.13950 (2023) - [i2]Shaheer Mohamed, Maryam Haghighat, Tharindu Fernando, Sridha Sridharan, Clinton Fookes, Peyman Moghadam:
FactoFormer: Factorized Hyperspectral Transformers with Self-Supervised Pre-Training. CoRR abs/2309.09431 (2023) - [i1]Maryam Haghighat, Peyman Moghadam, Shaheer Mohamed, Piotr Koniusz:
Pre-training with Random Orthogonal Projection Image Modeling. CoRR abs/2310.18737 (2023) - 2022
- [d1]Maryam Haghighat:
Illumination Dataset. IEEE DataPort, 2022
- 2020
- [j3]Maryam Haghighat, Reji Mathew, David Taubman:
Rate-Distortion Driven Decomposition of Multiview Imagery to Diffuse and Specular Components. IEEE Trans. Image Process. 29: 5469-5480 (2020)
2010 – 2019
- 2019
- [b1]Maryam Haghighat:
Rate-Distortion Driven Overcomplete Decomposition of Imagery for Compression. University of New South Wales, Sydney, Australia, 2019 - [j2]Maryam Haghighat, Reji Mathew, Aous Thabit Naman, David Taubman:
Illumination Estimation and Compensation of Low Frame Rate Video Sequences for Wavelet-Based Video Compression. IEEE Trans. Image Process. 28(9): 4313-4327 (2019) - [c5]Maryam Haghighat, Reji Mathew, David Taubman:
Rate-Distortion Driven Separation of Diffuse and Specular Components in Multiview Imagery. ICIP 2019: 954-958 - 2018
- [c4]Maryam Haghighat, Reji Mathew, Aous Thabit Naman, Sean I. Young, David Taubman:
Rate-Distortion Optimized Illumination Estimation for Wavelet-Based Video Coding. ICASSP 2018: 1213-1217 - 2017
- [c3]Maryam Haghighat, Reji Mathew, Aous Thabit Naman, David Taubman:
Lifting-based Illumination Adaptive Transform (LIAT) using mesh-based illumination modelling. ICIP 2017: 3006-3010 - 2016
- [c2]Maryam Haghighat, Manoj K. Panda, Hai Le Vu, Hans van Lint:
Large-scale congestion analysis using compressed measurements. ITSC 2016: 1684-1691 - 2015
- [j1]Maryam Haghighat, Seyed Mohammad Sajad Sadough:
Smart primary user emulation in cognitive radio networks: defence strategies against radio-aware attacks and robust spectrum sensing. Trans. Emerg. Telecommun. Technol. 26(9): 1154-1164 (2015) - 2012
- [c1]Maryam Haghighat, Seyed Mohammad Sajad Sadough:
Cooperative spectrum sensing in cognitive radio networks under primary user emulation attacks. IST 2012: 148-151
Coauthor Index
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