82 citations · 94 across the 10 of their papers we have counts for
8 papers · 1 filter
MeshPose: Unifying DensePose and 3D Body Mesh reconstruction
Eric-Tuan Lê, Antonis Kakolyris, Petros Koutras +5
DensePose provides a pixel-accurate association of images with 3D mesh coordinates, but does not provide a 3D mesh, while Human Mesh Reconstruction (HMR) systems have high 2D repro…
ViDaS Video Depth-aware Saliency Network
Ioanna Diamanti, Antigoni Tsiami, Petros Koutras +1
We introduce ViDaS, a two-stream, fully convolutional Video, Depth-Aware Saliency network to address the problem of attention modeling ``in-the-wild", via saliency prediction in vi…
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…
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…
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…
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…
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…
Multimodal Visual Concept Learning with Weakly Supervised Techniques
Giorgos Bouritsas, Petros Koutras, Athanasia Zlatintsi +1
Despite the availability of a huge amount of video data accompanied by descriptive texts, it is not always easy to exploit the information contained in natural language in order to…