7 citations · 18 across the 26 of their papers we have counts for
6 papers · 1 filter
Pre-training for Action Recognition with Automatically Generated Fractal Datasets
Davyd Svyezhentsev, George Retsinas, Petros Maragos
In recent years, interest in synthetic data has grown, particularly in the context of pre-training the image modality to support a range of computer vision tasks, including object…
DiffusionPen: Towards Controlling the Style of Handwritten Text Generation
Konstantina Nikolaidou, George Retsinas, Giorgos Sfikas +1
Handwritten Text Generation (HTG) conditioned on text and style is a challenging task due to the variability of inter-user characteristics and the unlimited combinations of charact…
Rethinking HTG Evaluation: Bridging Generation and Recognition
Konstantina Nikolaidou, George Retsinas, Giorgos Sfikas +1
The evaluation of generative models for natural image tasks has been extensively studied. Similar protocols and metrics are used in cases with unique particularities, such as Handw…
Mushroom Segmentation and 3D Pose Estimation from Point Clouds using Fully Convolutional Geometric Features and Implicit Pose Encoding
George Retsinas, Niki Efthymiou, Petros Maragos
Modern agricultural applications rely more and more on deep learning solutions. However, training well-performing deep networks requires a large amount of annotated data that may n…
Best Practices for a Handwritten Text Recognition System
George Retsinas, Giorgos Sfikas, Basilis Gatos +1
Handwritten text recognition has been developed rapidly in the recent years, following the rise of deep learning and its applications. Though deep learning methods provide notable…
SMIRK: 3D Facial Expressions through Analysis-by-Neural-Synthesis
George Retsinas, Panagiotis P. Filntisis, Radek Danecek +4
While existing methods for 3D face reconstruction from in-the-wild images excel at recovering the overall face shape, they commonly miss subtle, extreme, asymmetric, or rarely obse…