5 citations · 7 across the 4 of their papers we have counts for
12 papers
Graphing the Future: Activity and Next Active Object Prediction using Graph-based Activity Representations
Victoria Manousaki, Konstantinos Papoutsakis, Antonis Argyros
We present a novel approach for the visual prediction of human-object interactions in videos. Rather than forecasting the human and object motion or the future hand-object contact…
H-GAN: the power of GANs in your Hands
Sergiu Oprea, Giorgos Karvounas, Pablo Martinez-Gonzalez +7
We present HandGAN (H-GAN), a cycle-consistent adversarial learning approach implementing multi-scale perceptual discriminators. It is designed to translate synthetic images of han…
Multi-GPU SNN Simulation with Static Load Balancing
Dennis Bautembach, Iason Oikonomidis, Antonis Argyros
We present a SNN simulator which scales to millions of neurons, billions of synapses, and 8 GPUs. This is made possible by 1) a novel, cache-aware spike transmission algorithm 2) a…
A Review on Deep Learning Techniques for Video Prediction
Sergiu Oprea, Pablo Martinez-Gonzalez, Alberto Garcia-Garcia +4
The ability to predict, anticipate and reason about future outcomes is a key component of intelligent decision-making systems. In light of the success of deep learning in computer…
A Review on Intelligent Object Perception Methods Combining Knowledge-based Reasoning and Machine Learning
Filippos Gouidis, Alexandros Vassiliades, Theodore Patkos +3
Object perception is a fundamental sub-field of Computer Vision, covering a multitude of individual areas and having contributed high-impact results. While Machine Learning has bee…
ReActNet: Temporal Localization of Repetitive Activities in Real-World Videos
Giorgos Karvounas, Iason Oikonomidis, Antonis Argyros
We address the problem of temporal localization of repetitive activities in a video, i.e., the problem of identifying all segments of a video that contain some sort of repetitive o…