2 papers
cs.CV2026
On The Application of Linear Attention in Multimodal Transformers
Armin Gerami, Seyedehanita Madani, Ramani Duraiswami
Multimodal Transformers serve as the backbone for state-of-the-art vision-language models, yet their quadratic attention complexity remains a critical barrier to scalability. In th…
cs.CV2025
Morphing Through Time: Diffusion-Based Bridging of Temporal Gaps for Robust Alignment in Change Detection
Seyedehanita Madani, Vishal M. Patel
Remote sensing change detection is often challenged by spatial misalignment between bi-temporal images, especially when acquisitions are separated by long seasonal or multi-year ga…