activity
20192025
most citedWSRNet: Joint Spotting and Recognition of Handwritten Words

2 citations · 3 across the 12 of their papers we have counts for

collaborators

15 papers

cs.CV2025

REGLUE Your Latents with Global and Local Semantics for Entangled Diffusion

Giorgos Petsangourakis, Christos Sgouropoulos, Bill Psomas +3

Latent diffusion models (LDMs) achieve state-of-the-art image synthesis, yet their reconstruction-style denoising objective provides only indirect semantic supervision: high-level…

cs.CV2025

Are Euler angles a useful rotation parameterisation for pose estimation with Normalizing Flows?

Giorgos Sfikas, Konstantina Nikolaidou, Foteini Papadopoulou +2

Object pose estimation is a task that is of central importance in 3D Computer Vision. Given a target image and a canonical pose, a single point estimate may very often be sufficien…

cs.CV2025

Optimal Transport for Handwritten Text Recognition in a Low-Resource Regime

Petros Georgoulas Wraight, Giorgos Sfikas, Ioannis Kordonis +2

Handwritten Text Recognition (HTR) is a task of central importance in the field of document image understanding. State-of-the-art methods for HTR require the use of extensive annot…

cs.CV2025

Designing Practical Models for Isolated Word Visual Speech Recognition

Iason Ioannis Panagos, Giorgos Sfikas, Christophoros Nikou

Visual speech recognition (VSR) systems decode spoken words from an input sequence using only the video data. Practical applications of such systems include medical assistance as w…

cs.CV2025

Dual Orthogonal Guidance for Robust Diffusion-based Handwritten Text Generation

Konstantina Nikolaidou, George Retsinas, Giorgos Sfikas +3

Diffusion-based Handwritten Text Generation (HTG) approaches achieve impressive results on frequent, in-vocabulary words observed at training time and on regular styles. However, t…

cs.CV2025

Quo Vadis Handwritten Text Generation for Handwritten Text Recognition?

Vittorio Pippi, Konstantina Nikolaidou, Silvia Cascianelli +4

The digitization of historical manuscripts presents significant challenges for Handwritten Text Recognition (HTR) systems, particularly when dealing with small, author-specific col…