5 citations · 5 across the 3 of their papers we have counts for
7 papers
Visual Cues to Improve Myoelectric Control of Upper Limb Prostheses
Andrea Gigli, Arjan Gijsberts, Valentina Gregori +3
The instability of myoelectric signals over time complicates their use to control highly articulated prostheses. To address this problem, studies have tried to combine surface elec…
Bridging between Computer and Robot Vision through Data Augmentation: a Case Study on Object Recognition
Antonio D'Innocente, Fabio Maria Carlucci, Mirco Colosi +1
Despite the impressive progress brought by deep network in visual object recognition, robot vision is still far from being a solved problem. The most successful convolutional archi…
From source to target and back: symmetric bi-directional adaptive GAN
Paolo Russo, Fabio Maria Carlucci, Tatiana Tommasi +1
The effectiveness of generative adversarial approaches in producing images according to a specific style or visual domain has recently opened new directions to solve the unsupervis…
Adaptive Learning to Speed-Up Control of Prosthetic Hands: a Few Things Everybody Should Know
Valentina Gregori, Arjan Gijsberts, Barbara Caputo
A number of studies have proposed to use domain adaptation to reduce the training efforts needed to control an upper-limb prosthesis exploiting pre-trained models from prior subjec…
Online Open World Recognition
Rocco De Rosa, Thomas Mensink, Barbara Caputo
As we enter into the big data age and an avalanche of images have become readily available, recognition systems face the need to move from close, lab settings where the number of c…
A Deeper Look at Dataset Bias
Tatiana Tommasi, Novi Patricia, Barbara Caputo +1
The presence of a bias in each image data collection has recently attracted a lot of attention in the computer vision community showing the limits in generalization of any learning…