activity
20172020
most citedMultimodal Signal Processing and Learning Aspects of Human-Robot Interaction for an Assistive Bathing Robot

1 citations · 1 across the 3 of their papers we have counts for

collaborators

9 papers

cs.RO2020

ChildBot: Multi-Robot Perception and Interaction with Children

Niki Efthymiou, Panagiotis P. Filntisis, Petros Koutras +4

In this paper we present an integrated robotic system capable of participating in and performing a wide range of educational and entertainment tasks, in collaboration with one or m…

cs.CV2020

How to track your dragon: A Multi-Attentional Framework for real-time RGB-D 6-DOF Object Pose Tracking

Isidoros Marougkas, Petros Koutras, Nikos Kardaris +3

We present a novel multi-attentional convolutional architecture to tackle the problem of real-time RGB-D 6D object pose tracking of single, known objects. Such a problem poses mult…

cs.CV2020

STAViS: Spatio-Temporal AudioVisual Saliency Network

Antigoni Tsiami, Petros Koutras, Petros Maragos

We introduce STAViS, a spatio-temporal audiovisual saliency network that combines spatio-temporal visual and auditory information in order to efficiently address the problem of sal…

cs.CV2019

Deeply Supervised Multimodal Attentional Translation Embeddings for Visual Relationship Detection

Nikolaos Gkanatsios, Vassilis Pitsikalis, Petros Koutras +2

Detecting visual relationships, i.e. <Subject, Predicate, Object> triplets, is a challenging Scene Understanding task approached in the past via linguistic priors or spatial inform…

cs.CV2019

Fusing Body Posture with Facial Expressions for Joint Recognition of Affect in Child-Robot Interaction

Panagiotis P. Filntisis, Niki Efthymiou, Petros Koutras +2

In this paper we address the problem of multi-cue affect recognition in challenging scenarios such as child-robot interaction. Towards this goal we propose a method for automatic r…

cs.CV2018

SUSiNet: See, Understand and Summarize it

Petros Koutras, Petros Maragos

In this work we propose a multi-task spatio-temporal network, called SUSiNet, that can jointly tackle the spatio-temporal problems of saliency estimation, action recognition and vi…