8 citations · 8 across the 4 of their papers we have counts for
4 papers
Global-Local Feature Decoding with Adapter-Guided SAMv2 for Salient Object Detection
Morteza Moradi, Mohammad Moradi, Simone Palazzo +2
Salient Object Detection (SOD) remains an essential yet underexplored task in the era of large-scale vision models. Although foundation models like SAM exhibit strong generalizatio…
Brain-Grasp: Graph-based Saliency Priors for Improved fMRI-based Visual Brain Decoding
Mohammad Moradi, Morteza Moradi, Marco Grassia +1
Recent progress in brain-guided image generation has improved the quality of fMRI-based reconstructions; however, fundamental challenges remain in preserving object-level structure…
AIM 2024 Challenge on Video Saliency Prediction: Methods and Results
Andrey Moskalenko, Alexey Bryncev, Dmitry Vatolin +30
This paper reviews the Challenge on Video Saliency Prediction at AIM 2024. The goal of the participants was to develop a method for predicting accurate saliency maps for the provid…
SalFoM: Dynamic Saliency Prediction with Video Foundation Models
Morteza Moradi, Mohammad Moradi, Francesco Rundo +3
Recent advancements in video saliency prediction (VSP) have shown promising performance compared to the human visual system, whose emulation is the primary goal of VSP. However, cu…