241 citations · 750 across the 37 of their papers we have counts for
6 papers · 1 filter
ROFT: Real-Time Optical Flow-Aided 6D Object Pose and Velocity Tracking
Nicola A. Piga, Yuriy Onyshchuk, Giulia Pasquale +2
6D object pose tracking has been extensively studied in the robotics and computer vision communities. The most promising solutions, leveraging on deep neural networks and/or filter…
Active Perception for Ambiguous Objects Classification
Evgenii Safronov, Nicola Piga, Michele Colledanchise +1
Recent visual pose estimation and tracking solutions provide notable results on popular datasets such as T-LESS and YCB. However, in the real world, we can find ambiguous objects t…
Fast Object Segmentation Learning with Kernel-based Methods for Robotics
Federico Ceola, Elisa Maiettini, Giulia Pasquale +2
Object segmentation is a key component in the visual system of a robot that performs tasks like grasping and object manipulation, especially in presence of occlusions. Like many ot…
Fast Region Proposal Learning for Object Detection for Robotics
Federico Ceola, Elisa Maiettini, Giulia Pasquale +2
Object detection is a fundamental task for robots to operate in unstructured environments. Today, there are several deep learning algorithms that solve this task with remarkable pe…
Independent Motion Detection with Event-driven Cameras
Valentina Vasco, Arren Glover, Elias Mueggler +3
Unlike standard cameras that send intensity images at a constant frame rate, event-driven cameras asynchronously report pixel-level brightness changes, offering low latency and hig…
iCub World: Friendly Robots Help Building Good Vision Data-Sets
Sean Ryan Fanello, Carlo Ciliberto, Matteo Santoro +4
In this paper we present and start analyzing the iCub World data-set, an object recognition data-set, we acquired using a Human-Robot Interaction (HRI) scheme and the iCub humanoid…