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)

Spectral-Enhanced Transformers: Leveraging Large-Scale Pretrained Models for Hyperspectral Object Tracking. - Shaheer Mohamed; Tharindu Fernando; Sridha Sridharan; Peyman Moghadam; Clinton Fookes (WHISPERS, 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)

WildScenes: A benchmark for 2D and 3D semantic segmentation in large-scale natural environments. - Kavisha Vidanapathirana; Joshua Knights; Stephen Hausler; Mark Cox; Milad Ramezani; Jason Jooste; Ethan Griffiths; Shaheer Mohamed; Sridha Sridharan; Clinton Fookes; Peyman Moghadam (Int. J. Robotics Res., 2025)

Dual-Domain Masked Image Modeling: A Self-Supervised Pretraining Strategy Using Spatial and Frequency Domain Masking for Hyperspectral Data. - Shaheer Mohamed; Tharindu Fernando; Sridha Sridharan; Peyman Moghadam; Clinton Fookes (CoRR, 2025)