2 citations · 3 across the 14 of their papers we have counts for
15 papers
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…
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…
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…
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…
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…
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…
Lightweight Operations for Visual Speech Recognition
Iason Ioannis Panagos, Giorgos Sfikas, Christophoros Nikou
Visual speech recognition (VSR), which decodes spoken words from video data, offers significant benefits, particularly when audio is unavailable. However, the high dimensionality o…
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…
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…
Keyword Spotting Simplified: A Segmentation-Free Approach using Character Counting and CTC re-scoring
George Retsinas, Giorgos Sfikas, Christophoros Nikou
Recent advances in segmentation-free keyword spotting treat this problem w.r.t. an object detection paradigm and borrow from state-of-the-art detection systems to simultaneously pr…
On the Matrix Form of the Quaternion Fourier Transform and Quaternion Convolution
Giorgos Sfikas, George Retsinas
We study matrix forms of quaternionic versions of the Fourier Transform and Convolution operations. Quaternions offer a powerful representation unit, however they are related to di…
WordStylist: Styled Verbatim Handwritten Text Generation with Latent Diffusion Models
Konstantina Nikolaidou, George Retsinas, Vincent Christlein +5
Text-to-Image synthesis is the task of generating an image according to a specific text description. Generative Adversarial Networks have been considered the standard method for im…
WSRNet: Joint Spotting and Recognition of Handwritten Words
George Retsinas, Giorgos Sfikas, Petros Maragos
In this work, we present a unified model that can handle both Keyword Spotting and Word Recognition with the same network architecture. The proposed network is comprised of a non-r…
Automatic Video Colorization using 3D Conditional Generative Adversarial Networks
Panagiotis Kouzouglidis, Giorgos Sfikas, Christophoros Nikou
In this work, we present a method for automatic colorization of grayscale videos. The core of the method is a Generative Adversarial Network that is trained and tested on sequences…