activity
20092025
most citedTropical Polynomial Division and Neural Networks

7 citations · 35 across the 24 of their papers we have counts for

collaborators
Showing cs.CVShow all

13 papers · 1 filter

cs.CV2021

Exploring Temporal Context and Human Movement Dynamics for Online Action Detection in Videos

Vasiliki I. Vasileiou, Nikolaos Kardaris, Petros Maragos

Nowadays, the interaction between humans and robots is constantly expanding, requiring more and more human motion recognition applications to operate in real time. However, most wo…

cs.CV2020

Enhancing Handwritten Text Recognition with N-gram sequence decomposition and Multitask Learning

Vasiliki Tassopoulou, George Retsinas, Petros Maragos

Current state-of-the-art approaches in the field of Handwritten Text Recognition are predominately single task with unigram, character level target units. In our work, we utilize a…

cs.CV2020

Independent Sign Language Recognition with 3D Body, Hands, and Face Reconstruction

Agelos Kratimenos, Georgios Pavlakos, Petros Maragos

Independent Sign Language Recognition is a complex visual recognition problem that combines several challenging tasks of Computer Vision due to the necessity to exploit and fuse in…

cs.CV2020

Emotion Understanding in Videos Through Body, Context, and Visual-Semantic Embedding Loss

Panagiotis Paraskevas Filntisis, Niki Efthymiou, Gerasimos Potamianos +1

We present our winning submission to the First International Workshop on Bodily Expressed Emotion Understanding (BEEU) challenge. Based on recent literature on the effect of contex…

cs.CV20202 cited

WSRNet: Joint Spotting and Recognition of Handwritten Words

George Retsinas, Giorgos Sfikas, Petros Maragos

In this work, we present a unified model that can handle both Keyword Spotting and Word Recognition with the same network architecture. The proposed network is comprised of a non-r…

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…