59 citations · 203 across the 18 of their papers we have counts for
6 papers · 1 filter
Weakly-supervised fire segmentation by visualizing intermediate CNN layers
Milad Niknejad, Alexandre Bernardino
Fire localization in images and videos is an important step for an autonomous system to combat fire incidents. State-of-art image segmentation methods based on deep neural networks…
Attention on Classification for Fire Segmentation
Milad Niknejad, Alexandre Bernardino
Detection and localization of fire in images and videos are important in tackling fire incidents. Although semantic segmentation methods can be used to indicate the location of pix…
Enabling AI and Robotic Coaches for Physical Rehabilitation Therapy: Iterative Design and Evaluation with Therapists and Post-Stroke Survivors
Min Hun Lee, Daniel P. Siewiorek, Asim Smailagic +2
Artificial intelligence (AI) and robotic coaches promise the improved engagement of patients on rehabilitation exercises through social interaction. While previous work explored th…
Where is my hand? Deep hand segmentation for visual self-recognition in humanoid robots
Alexandre Almeida, Pedro Vicente, Alexandre Bernardino
The ability to distinguish between the self and the background is of paramount importance for robotic tasks. The particular case of hands, as the end effectors of a robotic system…
One-shot action recognition in challenging therapy scenarios
Alberto Sabater, Laura Santos, Jose Santos-Victor +3
One-shot action recognition aims to recognize new action categories from a single reference example, typically referred to as the anchor example. This work presents a novel approac…
Online Body Schema Adaptation through Cost-Sensitive Active Learning
Gonçalo Cunha, Pedro Vicente, Alexandre Bernardino +2
Humanoid robots have complex bodies and kinematic chains with several Degrees-of-Freedom (DoF) which are difficult to model. Learning the parameters of a kinematic model can be ach…