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cs.CV2026
LoRSA: Toward Generalizable Parameter-Efficient Fine-Tuning for Biomedical Downstream Tasks
Saed Moradi, Benyamin Ghojogh, M. Hadi Sepanj +2
Parameter-efficient fine-tuning enables the adaptation of vision foundation models to biomedical tasks under limited computational resources, but a single low-rank update can const…
cs.CV2025
RadarSeq: A Temporal Vision Framework for User Churn Prediction via Radar Chart Sequences
Sina Najafi, M. Hadi Sepanj, Fahimeh Jafari
Predicting user churn in non-subscription gig platforms, where disengagement is implicit, poses unique challenges due to the absence of explicit labels and the dynamic nature of us…
cs.CV2024
Particle-Filtering-based Latent Diffusion for Inverse Problems
Amir Nazemi, Mohammad Hadi Sepanj, Nicholas Pellegrino +2
Current strategies for solving image-based inverse problems apply latent diffusion models to perform posterior sampling.However, almost all approaches make no explicit attempt to e…