Shaheer Mohamed

According to our database, Shaheer Mohamed authored at least 6 papers between 2023 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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, May, 2025

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

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

Spectral-Enhanced Transformers: Leveraging Large-Scale Pretrained Models for Hyperspectral Object Tracking.

Shaheer Mohamed, Tharindu Fernando, Sridha Sridharan, Peyman Moghadam, Clinton Fookes

Proceedings of the 14th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing, 2024

Pre-training with Random Orthogonal Projection Image Modeling.

Maryam Haghighat, Peyman Moghadam, Shaheer Mohamed, Piotr Koniusz

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

FactoFormer: Factorized Hyperspectral Transformers with Self-Supervised Pre-Training.

Shaheer Mohamed, Maryam Haghighat, Tharindu Fernando, Sridha Sridharan, Clinton Fookes, Peyman Moghadam

CoRR, 2023