Maryam Haghighat

29 papers A* 2A 3B 2Misc 1Journal 17Unranked 3
YearRankTypeTitle / Venue / Authors
2026 — conf
Effective and Robust Multimodal Medical Image Analysis.
KDD (1)
Joy Dhar, Nayyar Zaidi, Maryam Haghighat
2026 J jnl
Effective and Robust Multimodal Medical Image Analysis.
CoRR
Joy Dhar, Nayyar Zaidi, Maryam Haghighat
2026 J jnl
HyPCA-Net: Advancing Multimodal Fusion in Medical Image Analysis.
CoRR
Joy Dhar, M. K. Pandey, D. Chakladar, Maryam Haghighat, Azadeh Alavi, Sajib Mistry, Nayyar Zaidi
2026 J jnl
Towards building robust models for unimodal and multimodal medical imaging data.
Inf. Fusion
Joy Dhar, Puneet Goyal, Maryam Haghighat, Nayyar Zaidi, Ferdous Sohel, Quoc Bao Vo, KC Santosh
2025 J jnl
A Comprehensive Survey on Multi-View Classification: Methods, Applications, and Challenges.
ACM Trans. Intell. Syst. Technol.
Kamal Berahmand, Fatemeh Daneshfar, Maryam Rahmaninia, Maryam Haghighat, Mahdi Jalili
2025 J jnl
HOTFLoc++: End-to-End Hierarchical LiDAR Place Recognition, Re-Ranking, and 6-DoF Metric Localisation in Forests.
CoRR
Ethan Griffiths, Maryam Haghighat, Simon Denman, Clinton Fookes, Milad Ramezani
2025 A* conf
HOTFormerLoc: Hierarchical Octree Transformer for Versatile Lidar Place Recognition Across Ground and Aerial Views.
CVPR
Ethan Griffiths, Maryam Haghighat, Simon Denman, Clinton Fookes, Milad Ramezani
2025 J jnl
HOTFormerLoc: Hierarchical Octree Transformer for Versatile Lidar Place Recognition Across Ground and Aerial Views.
CoRR
Ethan Griffiths, Maryam Haghighat, Simon Denman, Clinton Fookes, Milad Ramezani
2025 J jnl
Intra-Class Probabilistic Embeddings for Uncertainty Estimation in Vision-Language Models.
CoRR
Zhenxiang Lin, Maryam Haghighat, Will Browne, Dimity Miller
2025 A conf
Multimodal Fusion Learning with Dual Attention for Medical Imaging.
WACV
Joy Dhar, Nayyar Zaidi, Maryam Haghighat, Sudipta Roy, Puneet Goyal, Azadeh Alavi, Vikas Kumar
2025 A conf
Online 6DoF Global Localisation in Forests using Semantically-Guided Re-Localisation and Cross-View Factor-Graph Optimisation.
IROS
Lucas Carvalho de Lima, Ethan Griffiths, Maryam Haghighat, Simon Denman, Clinton Fookes, Paulo V. K. Borges, Michael Brünig, Milad Ramezani
2025 J jnl
Transforming volcanic monitoring: A dataset and benchmark for onboard volcano activity detection.
CoRR
Darshana Priyasad, Tharindu Fernando, Maryam Haghighat, Harshala Gammulle, Clinton Fookes
2024 J jnl
FactoFormer: Factorized Hyperspectral Transformers With Self-Supervised Pretraining.
IEEE Trans. Geosci. Remote. Sens.
Shaheer Mohamed, Maryam Haghighat, Tharindu Fernando, Sridha Sridharan, Clinton Fookes, Peyman Moghadam
2024 J jnl
Multimodal Fusion Learning with Dual Attention for Medical Imaging.
CoRR
Joy Dhar, Nayyar Zaidi, Maryam Haghighat, Puneet Goyal, Sudipta Roy, Azadeh Alavi, Vikas Kumar
2024 J jnl
Online 6DoF Pose Estimation in Forests using Cross-View Factor Graph Optimisation and Deep Learned Re-localisation.
CoRR
Lucas Carvalho de Lima, Ethan Griffiths, Maryam Haghighat, Simon Denman, Clinton Fookes, Paulo V. K. Borges, Michael Brünig, Milad Ramezani
2024 A* conf
Pre-training with Random Orthogonal Projection Image Modeling.
ICLR
Maryam Haghighat, Peyman Moghadam, Shaheer Mohamed, Piotr Koniusz
2023 A conf
Deep Robust Multi-Robot Re-Localisation in Natural Environments.
IROS
Milad Ramezani, Ethan Griffiths, Maryam Haghighat, Alex Pitt, Peyman Moghadam
2023 J jnl
Deep Robust Multi-Robot Re-localisation in Natural Environments.
CoRR
Milad Ramezani, Ethan Griffiths, Maryam Haghighat, Alex Pitt, Peyman Moghadam
2023 J jnl
FactoFormer: Factorized Hyperspectral Transformers with Self-Supervised Pre-Training.
CoRR
Shaheer Mohamed, Maryam Haghighat, Tharindu Fernando, Sridha Sridharan, Clinton Fookes, Peyman Moghadam
2023 J jnl
Pre-training with Random Orthogonal Projection Image Modeling.
CoRR
Maryam Haghighat, Peyman Moghadam, Shaheer Mohamed, Piotr Koniusz
2020 J jnl
Rate-Distortion Driven Decomposition of Multiview Imagery to Diffuse and Specular Components.
IEEE Trans. Image Process.
Maryam Haghighat, Reji Mathew, David Taubman
2019 J jnl
Illumination Estimation and Compensation of Low Frame Rate Video Sequences for Wavelet-Based Video Compression.
IEEE Trans. Image Process.
Maryam Haghighat, Reji Mathew, Aous Thabit Naman, David Taubman
2019 — —
Rate-Distortion Driven Overcomplete Decomposition of Imagery for Compression.
Maryam Haghighat
2019 B conf
Rate-Distortion Driven Separation of Diffuse and Specular Components in Multiview Imagery.
ICIP
Maryam Haghighat, Reji Mathew, David Taubman
2018 Misc conf
Rate-Distortion Optimized Illumination Estimation for Wavelet-Based Video Coding.
ICASSP
Maryam Haghighat, Reji Mathew, Aous Thabit Naman, Sean I. Young, David Taubman
2017 B conf
Lifting-based Illumination Adaptive Transform (LIAT) using mesh-based illumination modelling.
ICIP
Maryam Haghighat, Reji Mathew, Aous Thabit Naman, David Taubman
2016 — conf
Large-scale congestion analysis using compressed measurements.
ITSC
Maryam Haghighat, Manoj K. Panda, Hai Le Vu, Hans van Lint
2015 J jnl
Smart primary user emulation in cognitive radio networks: defence strategies against radio-aware attacks and robust spectrum sensing.
Trans. Emerg. Telecommun. Technol.
Maryam Haghighat, Seyed Mohammad Sajad Sadough
2012 — conf
Cooperative spectrum sensing in cognitive radio networks under primary user emulation attacks.
IST
Maryam Haghighat, Seyed Mohammad Sajad Sadough