4 papers
Distribution-Aware Diffusion-LLM for Robust Ultra-Long-Term Time Series Forecasting
Falguni Ghosh, Vahid Hashemi, Bernhard Kainz
Time series forecasting is a fundamental machine learning task. Recent work has explored Large Language Models (LLMs) for this purpose due to their strong generalization, pattern r…
STARCaster: Spatio-Temporal AutoRegressive Video Diffusion for Identity- and View-Aware Talking Portraits
Foivos Paraperas Papantoniou, Stathis Galanakis, Rolandos Alexandros Potamias +2
This paper presents STARCaster, an identity-aware spatio-temporal video diffusion model that addresses both speech-driven portrait animation and dynamic viewpoint control, given an…
SpinMeRound: Consistent Multi-View Identity Generation Using Diffusion Models
Stathis Galanakis, Alexandros Lattas, Stylianos Moschoglou +2
Despite recent progress in diffusion models, generating realistic head portraits from novel viewpoints remains a significant challenge. Most current approaches are constrained to l…
Bias Assessment and Data Drift Detection in Medical Image Analysis: A Survey
Mischa Dombrowski, Andrea Prenner, Bernhard Kainz
Machine Learning (ML) models have gained popularity in medical imaging analysis given their expert level performance in many medical domains. To enhance the trustworthiness, accept…