3 papers
cs.CV2026
FedVSR: Towards Model-Agnostic Federated Learning in Video Super-Resolution
Ali Mollaahmadi Dehaghi, Hossein KhademSohi, Reza Razavi +2
Video super-resolution (VSR) aims to enhance low-resolution videos by leveraging both spatial and temporal information. While deep learning has led to impressive progress, it typic…
cs.MA2025
A Multi-Agent Retrieval-Augmented Framework for Work-in-Progress Predictio
Yousef Mehrdad Bibalan, Behrouz Far, Mohammad Moshirpour +1
Work-in-Progress (WiP) prediction is critical for predictive process monitoring, enabling accurate anticipation of workload fluctuations and optimized operational planning. This pa…
cs.CV2024
Reversing the Damage: A QP-Aware Transformer-Diffusion Approach for 8K Video Restoration under Codec Compression
Ali Mollaahmadi Dehaghi, Reza Razavi, Mohammad Moshirpour
In this paper, we introduce DiQP; a novel Transformer-Diffusion model for restoring 8K video quality degraded by codec compression. To the best of our knowledge, our model is the f…