Intention prediction has become a relevant field of research in Human–Machine and Human–
Robot Interaction. Indeed, any artificial system (co)-operating with and along humans …

High-dimensional features are extensively accessible in machine learning and computer
vision areas. How to learn an efficient feature representation for specific learning tasks is …

With the rapid development of machine learning, its powerful function in the machine vision
field is increasingly reflected. The combination of machine vision and robotics to achieve the …

Object instance segmentation is one of the most fundamental but challenging tasks in
computer vision, and it requires the pixel-level image understanding. Most existing …

People with complex communication needs can use a high-technology augmentative and
alternative communication device to communicate with others. Currently, researchers and …

To this day, despite the increasing motor capability of robotic devices, elaborating efficient
control strategies is still a key challenge in the field of humanoid robotic arms. In particular …

Abstract 3D-ARM-Gaze is a public dataset designed to provide natural arm movements
together with visual and gaze information when reaching objects in a wide reachable space …

Object recognition in real-world environments is one of the fundamental and key tasks in
computer vision and robotics communities. With the advanced sensing technologies and low …

We present an approach to bridge the gap between the computational models of human
vision and the clinical practice on visual impairments (VI). In a nutshell, we propose to …

Online action detection aims to detect a current action from an untrimmed, streaming video,
where only current and past frames are available. Recent methods for online action …