45 citations · 116 across the 20 of their papers we have counts for
18 papers · 1 filter
Better, But Not Sufficient: Testing Video ANNs Against Macaque IT Dynamics
Matteo Dunnhofer, Christian Micheloni, Kohitij Kar
Feedforward artificial neural networks (ANNs) trained on static images remain the dominant models of the the primate ventral visual stream, yet they are intrinsically limited to st…
ReMAR-DS: Recalibrated Feature Learning for Metal Artifact Reduction and CT Domain Transformation
Mubashara Rehman, Niki Martinel, Michele Avanzo +2
Artifacts in kilo-Voltage CT (kVCT) imaging degrade image quality, impacting clinical decisions. We propose a deep learning framework for metal artifact reduction (MAR) and domain…
SkelMamba: A State Space Model for Efficient Skeleton Action Recognition of Neurological Disorders
Niki Martinel, Mariano Serrao, Christian Micheloni
We introduce a novel state-space model (SSM)-based framework for skeleton-based human action recognition, with an anatomically-guided architecture that improves state-of-the-art pe…
LowFormer: Hardware Efficient Design for Convolutional Transformer Backbones
Moritz Nottebaum, Matteo Dunnhofer, Christian Micheloni
Research in efficient vision backbones is evolving into models that are a mixture of convolutions and transformer blocks. A smart combination of both, architecture-wise and compone…
Real Image Super-Resolution using GAN through modeling of LR and HR process
Rao Muhammad Umer, Christian Micheloni
The current existing deep image super-resolution methods usually assume that a Low Resolution (LR) image is bicubicly downscaled of a High Resolution (HR) image. However, such an i…
Visual Object Tracking in First Person Vision
Matteo Dunnhofer, Antonino Furnari, Giovanni Maria Farinella +1
The understanding of human-object interactions is fundamental in First Person Vision (FPV). Visual tracking algorithms which follow the objects manipulated by the camera wearer can…