activity
20192026
most citedDCT-Former: Efficient Self-Attention with Discrete Cosine Transform

34 citations · 38 across the 11 of their papers we have counts for

collaborators

13 papers

cs.CV2026

Accelerated Decoding of Centroid Positional Encoding for Instance Segmentation

Carmelo Scribano, Filippo Muzzini, Nedyalko Prisadnikov +6

Beyond model inference, the decoding stage, which converts raw network outputs into task-level representations, constitutes a significant portion of the execution cost. Despite its…

cs.CV2026

Accelerating Vision Foundation Models with Drop-in Depthwise Convolution

Carmelo Scribano, Mohammad Mahdi, Nedyalko Prisadnikov +5

Pretrained vision foundation models deliver strong performance across tasks with limited fine-tuning. However, their Vision Transformer (ViT) backbones impose high inference costs,…

cs.CV2026

Low-Latency Embedded Driver Monitoring System with a Multi-Task Neural Network

Carmelo Scribano, Giovanni Cappelletti, Elia Giacobazzi +3

Road traffic accidents remain a significant global concern, with the majority attributed to human factors such as driver distraction and fatigue. This study proposes a camera-based…

cs.CV2025

Segment Anything for Satellite Imagery: A Strong Baseline and a Regional Dataset for Automatic Field Delineation

Carmelo Scribano, Elena Govi, Paolo Bertellini +3

Accurate mapping of agricultural field boundaries is essential for the efficient operation of agriculture. Automatic extraction from high-resolution satellite imagery, supported by…

cs.LG2023★ 1 cited

Majorization-Minimization for sparse SVMs

Alessandro Benfenati, Emilie Chouzenoux, Giorgia Franchini +5

Several decades ago, Support Vector Machines (SVMs) were introduced for performing binary classification tasks, under a supervised framework. Nowadays, they often outperform other…

cs.CV2023★ 1 cited

Uncovering the Background-Induced bias in RGB based 6-DoF Object Pose Estimation

Elena Govi, Davide Sapienza, Carmelo Scribano +5

In recent years, there has been a growing trend of using data-driven methods in industrial settings. These kinds of methods often process video images or parts, therefore the integ…