3 citations · 5 across the 4 of their papers we have counts for
4 papers
TransHands: Repurposing Human Pose Encoders as Hand Pose Encoders
Milo Piccioli, Gianluca Amprimo, Claudia Ferraris +1
Lifting 3D hand poses from 2D monocular representations remains challenging due to the limited availability of large-scale, diverse 3D-annotated hand datasets, in contrast to the a…
Elastic Spiking Transformers for Efficient Gesture Understanding
Alberto Ancilotto, Gianluca Amprimo, Stefano Di Carlo +1
Spiking Neural Networks (SNNs), particularly Spiking Transformers, offer energy-efficient processing of event-based sensor data for healthcare applications. Yet current architectur…
EHWGesture -- A dataset for multimodal understanding of clinical gestures
Gianluca Amprimo, Alberto Ancilotto, Alessandro Savino +5
Hand gesture understanding is essential for several applications in human-computer interaction, including automatic clinical assessment of hand dexterity. While deep learning has a…
Hand tracking for clinical applications: validation of the Google MediaPipe Hand (GMH) and the depth-enhanced GMH-D frameworks
Gianluca Amprimo, Giulia Masi, Giuseppe Pettiti +3
Accurate 3D tracking of hand and fingers movements poses significant challenges in computer vision. The potential applications span across multiple domains, including human-compute…