116 citations · 137 across the 24 of their papers we have counts for
31 papers
High-Throughput Generative Video Super-Resolution on a Single Consumer GPU
Georgios Panaretou, Sotirios Chatzis
Generative video super-resolution (VSR) can recover visually compelling high-frequency detail by leveraging diffusion priors, but iterative sampling and heavy spatio-temporal coupl…
Lévy Attention: Single-Pass Predictive Uncertainty for Continuous-Time Attention
Sotirios P. Chatzis, Loukas Papadoulas
Deep models for irregularly-sampled time series answer queries at arbitrary continuous timestamps, yet report nothing about how far each answer should be trusted. We show the atten…
Gaze Prediction in Virtual Reality Without Eye Tracking Using Visual and Head Motion Cues
Christos Petrou, Harris Partaourides, Athanasios Balomenos +2
Gaze prediction plays a critical role in Virtual Reality (VR) applications by reducing sensor-induced latency and enabling computationally demanding techniques such as foveated ren…
Transformers with Stochastic Competition for Tabular Data Modelling
Andreas Voskou, Charalambos Christoforou, Sotirios Chatzis
Despite the prevalence and significance of tabular data across numerous industries and fields, it has been relatively underexplored in the realm of deep learning. Even today, neura…
Continual Deep Learning on the Edge via Stochastic Local Competition among Subnetworks
Theodoros Christophides, Kyriakos Tolias, Sotirios Chatzis
Continual learning on edge devices poses unique challenges due to stringent resource constraints. This paper introduces a novel method that leverages stochastic competition princip…
DISCOVER: Making Vision Networks Interpretable via Competition and Dissection
Konstantinos P. Panousis, Sotirios Chatzis
Modern deep networks are highly complex and their inferential outcome very hard to interpret. This is a serious obstacle to their transparent deployment in safety-critical or bias-…