82 citations · 356 across the 60 of their papers we have counts for
7 papers · 1 filter
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…
HTMD-Net: A Hybrid Masking-Denoising Approach to Time-Domain Monaural Singing Voice Separation
Christos Garoufis, Athanasia Zlatintsi, Petros Maragos
The advent of deep learning has led to the prevalence of deep neural network architectures for monaural music source separation, with end-to-end approaches that operate directly on…
Deep Convolutional and Recurrent Networks for Polyphonic Instrument Classification from Monophonic Raw Audio Waveforms
Kleanthis Avramidis, Agelos Kratimenos, Christos Garoufis +2
Sound Event Detection and Audio Classification tasks are traditionally addressed through time-frequency representations of audio signals such as spectrograms. However, the emergenc…