82 citations · 356 across the 60 of their papers we have counts for
29 papers · 1 filter
GHR-VQA: Graph-guided Hierarchical Relational Reasoning for Video Question Answering
Dionysia Danai Brilli, Dimitrios Mallis, Vassilis Pitsikalis +1
We propose GHR-VQA, Graph-guided Hierarchical Relational Reasoning for Video Question Answering (Video QA), a novel human-centric framework that incorporates scene graphs to captur…
Multi-task Learning For Joint Action and Gesture Recognition
Konstantinos Spathis, Nikolaos Kardaris, Petros Maragos
In practical applications, computer vision tasks often need to be addressed simultaneously. Multitask learning typically achieves this by jointly training a single deep neural netw…
Mushroom Segmentation and 3D Pose Estimation from Point Clouds using Fully Convolutional Geometric Features and Implicit Pose Encoding
George Retsinas, Niki Efthymiou, Petros Maragos
Modern agricultural applications rely more and more on deep learning solutions. However, training well-performing deep networks requires a large amount of annotated data that may n…
Neural Text to Articulate Talk: Deep Text to Audiovisual Speech Synthesis achieving both Auditory and Photo-realism
Georgios Milis, Panagiotis P. Filntisis, Anastasios Roussos +1
Recent advances in deep learning for sequential data have given rise to fast and powerful models that produce realistic videos of talking humans. The state of the art in talking fa…
Photorealistic and Identity-Preserving Image-Based Emotion Manipulation with Latent Diffusion Models
Ioannis Pikoulis, Panagiotis P. Filntisis, Petros Maragos
In this paper, we investigate the emotion manipulation capabilities of diffusion models with "in-the-wild" images, a rather unexplored application area relative to the vast and rap…
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…
OVeNet: Offset Vector Network for Semantic Segmentation
Stamatis Alexandropoulos, Christos Sakaridis, Petros Maragos
Semantic segmentation is a fundamental task in visual scene understanding. We focus on the supervised setting, where ground-truth semantic annotations are available. Based on knowl…
Medical Face Masks and Emotion Recognition from the Body: Insights from a Deep Learning Perspective
Nikolaos Kegkeroglou, Panagiotis P. Filntisis, Petros Maragos
The COVID-19 pandemic has undoubtedly changed the standards and affected all aspects of our lives, especially social communication. It has forced people to extensively wear medical…
Neural Sign Reenactor: Deep Photorealistic Sign Language Retargeting
Christina O. Tze, Panagiotis P. Filntisis, Athanasia-Lida Dimou +2
In this paper, we introduce a neural rendering pipeline for transferring the facial expressions, head pose, and body movements of one person in a source video to another in a targe…
Visual Speech-Aware Perceptual 3D Facial Expression Reconstruction from Videos
Panagiotis P. Filntisis, George Retsinas, Foivos Paraperas-Papantoniou +3
The recent state of the art on monocular 3D face reconstruction from image data has made some impressive advancements, thanks to the advent of Deep Learning. However, it has mostly…
Neural Emotion Director: Speech-preserving semantic control of facial expressions in "in-the-wild" videos
Foivos Paraperas Papantoniou, Panagiotis P. Filntisis, Petros Maragos +1
In this paper, we introduce a novel deep learning method for photo-realistic manipulation of the emotional state of actors in "in-the-wild" videos. The proposed method is based on…
An audiovisual and contextual approach for categorical and continuous emotion recognition in-the-wild
Panagiotis Antoniadis, Ioannis Pikoulis, Panagiotis P. Filntisis +1
In this work we tackle the task of video-based audio-visual emotion recognition, within the premises of the 2nd Workshop and Competition on Affective Behavior Analysis in-the-wild…
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…
Exploiting Emotional Dependencies with Graph Convolutional Networks for Facial Expression Recognition
Panagiotis Antoniadis, Panagiotis P. Filntisis, Petros Maragos
Over the past few years, deep learning methods have shown remarkable results in many face-related tasks including automatic facial expression recognition (FER) in-the-wild. Meanwhi…
Leveraging Semantic Scene Characteristics and Multi-Stream Convolutional Architectures in a Contextual Approach for Video-Based Visual Emotion Recognition in the Wild
Ioannis Pikoulis, Panagiotis P. Filntisis, Petros Maragos
In this work we tackle the task of video-based visual emotion recognition in the wild. Standard methodologies that rely solely on the extraction of bodily and facial features often…
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…
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…
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…
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…
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…
A linear method for camera pair self-calibration and multi-view reconstruction with geometrically verified correspondences
Nikos Melanitis, Petros Maragos
We examine 3D reconstruction of architectural scenes in unordered sets of uncalibrated images. We introduce a linear method to self-calibrate and find the metric reconstruction of…
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…