In this paper, we investigate the emotion manipulation capabilities of
d...
Tropical geometry has recently found several applications in the analysi...
We introduce ViDaS, a two-stream, fully convolutional Video, Depth-Aware...
Semantic segmentation is a fundamental task in visual scene understandin...
The COVID-19 pandemic has undoubtedly changed the standards and affected...
Contrastive learning constitutes an emerging branch of self-supervised
l...
Traditional monocular Visual Simultaneous Localization and Mapping (vSLA...
In recent years, implicit surface representations through neural network...
In this paper, we introduce a neural rendering pipeline for transferring...
The recent state of the art on monocular 3D face reconstruction from ima...
The study of Music Cognition and neural responses to music has been
inva...
In this paper, we introduce a novel deep learning method for photo-reali...
In this work we tackle the task of video-based audio-visual emotion
reco...
Nowadays, the interaction between humans and robots is constantly expand...
Over the past few years, deep learning methods have shown remarkable res...
In this work we tackle the task of video-based visual emotion recognitio...
The advent of deep learning has led to the prevalence of deep neural net...
Sound Event Detection and Audio Classification tasks are traditionally
a...
Current state-of-the-art approaches in the field of Handwritten Text
Rec...
In this paper we study an emerging class of neural networks based on the...
In this work, we study the problem of finding approximate, with minimum
...
We present our winning submission to the First International Workshop on...
Emotion Recognition from EEG signals has long been researched as it can
...
Digital phenotyping is a nascent multidisciplinary field that has the
po...
In this paper we present an integrated robotic system capable of
partici...
In this work, we present a unified model that can handle both Keyword
Sp...
Physical neighborhoods of grasping points in common objects may offer a ...
Pruning neural networks has regained interest in recent years as a means...
We present a novel multi-attentional convolutional architecture to tackl...
We introduce STAViS, a spatio-temporal audiovisual saliency network that...
Tropical Geometry and Mathematical Morphology share the same max-plus an...
In this work, we examine the process of Tropical Polynomial Division, a
...
Instrument classification is one of the fields in Music Information Retr...
We examine 3D reconstruction of architectural scenes in unordered sets o...
In this paper, we introduce Channel-wise recurrent convolutional neural
...
Detecting visual relationships, i.e. <Subject, Predicate, Object> triple...
In this paper we address the problem of multi-cue affect recognition in
...
The great success of convolutional neural networks has caused a massive
...
In this work we propose a multi-task spatio-temporal network, called SUS...
In this work we tackle the problem of child engagement estimation while
...
In this work we present a novel Long Short Term Memory (LSTM) based on-l...
Frequency modulation features capture the fine structure of speech forma...
The problem of spoofing attacks is increasingly relevant as digital syst...
Weighted Finite State Transducers (WFSTs) are versatile data structures ...
We present a new, unifying approach following some recent developments o...
Despite the availability of a huge amount of video data accompanied by
d...
In this paper we present a new framework for the solution of active cont...
Active contour models based on partial differential equations have prove...