no code implementations • 28 Mar 2024 • Rolandos Alexandros Potamias, Michail Tarasiou, Stylianos Ploumpis, Stefanos Zafeiriou
In the realm of 3D computer vision, parametric models have emerged as a ground-breaking methodology for the creation of realistic and expressive 3D avatars.
1 code implementation • 5 Jan 2024 • Michail Tarasiou, Rolandos Alexandros Potamias, Eimear O'Sullivan, Stylianos Ploumpis, Stefanos Zafeiriou
We present the Locally Adaptive Morphable Model (LAMM), a highly flexible Auto-Encoder (AE) framework for learning to generate and manipulate 3D meshes.
no code implementations • 1 Dec 2023 • Michail Tarasiou, Jiankang Deng, Stefanos Zafeiriou
Heterogeneous face recognition (HFR) involves the intricate task of matching face images across the visual domains of visible (VIS) and near-infrared (NIR).
2 code implementations • CVPR 2023 • Michail Tarasiou, Erik Chavez, Stefanos Zafeiriou
In this paper we introduce the Temporo-Spatial Vision Transformer (TSViT), a fully-attentional model for general Satellite Image Time Series (SITS) processing based on the Vision Transformer (ViT).
1 code implementation • 11 Mar 2022 • Michail Tarasiou, Stefanos Zafeiriou
In training machine learning models for land cover semantic segmentation there is a stark contrast between the availability of satellite imagery to be used as inputs and ground truth data to enable supervised learning.
1 code implementation • 28 Apr 2021 • Michail Tarasiou, Stefanos Zafeiriou
This report presents design considerations for automatically generating satellite imagery datasets for training machine learning models with emphasis placed on dense classification tasks, e. g. semantic segmentation.
2 code implementations • 9 Apr 2021 • Michail Tarasiou, Riza Alp Guler, Stefanos Zafeiriou
For crop type semantic segmentation from Satellite Image Time Series (SITS) we find performance at parcel boundaries to be a critical bottleneck and explain how CSCL tackles the underlying cause of that problem, improving the state-of-the-art performance in this task.
no code implementations • 29 Nov 2019 • Michail Tarasiou, Stefanos Zafeiriou
Recent developments in computer vision and machine learning have made it possible to create realistic manipulated videos of human faces, raising the issue of ensuring adequate protection against the malevolent effects unlocked by such capabilities.
no code implementations • 15 Apr 2019 • Panagiotis Tzirakis, Athanasios Papaioannou, Alexander Lattas, Michail Tarasiou, Björn Schuller, Stefanos Zafeiriou
Synthesising 3D facial motion from speech is a crucial problem manifesting in a multitude of applications such as computer games and movies.