7 citations · 18 across the 26 of their papers we have counts for
28 papers
Learning to See through Action: Predictive Curiosity for Robots
Stelios Zarifis, Panagiotis Filntisis, George Retsinas +1
Humans and animals do not learn vision from a fixed set of data: they move, interact, and learn from the visual consequences of their actions. Motivated by this developmental view,…
Registration-Free Learnable Multi-View Capture of Faces in Dense Semantic Correspondence
Panagiotis P. Filntisis, George Retsinas, Radek Daněček +3
Recent frameworks like ToFu and TEMPEH provide an automated alternative to classical registration pipelines by predicting 3D meshes in dense semantic correspondence directly from c…
Mind the Shape Gap: A Benchmark and Baseline for Deformation-Aware 6D Pose Estimation of Agricultural Produce
Nikolas Chatzis, Angeliki Tsinouka, Katerina Papadimitriou +7
Accurate 6D pose estimation for robotic harvesting is fundamentally hindered by the biological deformability and high intra-class shape variability of agricultural produce. Instanc…
Sparse Computations in Deep Learning Inference
Ioanna Tasou, Panagiotis Mpakos, Angelos Vlachos +25
The computational demands of modern Deep Neural Networks (DNNs) are immense and constantly growing. While training costs usually capture public attention, inference demands are als…
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…
Instance-Level Composed Image Retrieval
Bill Psomas, George Retsinas, Nikos Efthymiadis +5
The progress of composed image retrieval (CIR), a popular research direction in image retrieval, where a combined visual and textual query is used, is held back by the absence of h…
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…
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…
Only-Style: Stylistic Consistency in Image Generation without Content Leakage
Tilemachos Aravanis, Panagiotis Filntisis, Petros Maragos +1
Generating images in a consistent reference visual style remains a challenging computer vision task. State-of-the-art methods aiming for style-consistent generation struggle to eff…
Category-Level 6D Object Pose Estimation in Agricultural Settings Using a Lattice-Deformation Framework and Diffusion-Augmented Synthetic Data
Marios Glytsos, Panagiotis P. Filntisis, George Retsinas +1
Accurate 6D object pose estimation is essential for robotic grasping and manipulation, particularly in agriculture, where fruits and vegetables exhibit high intra-class variability…
Object-Centric Action-Enhanced Representations for Robot Visuo-Motor Policy Learning
Nikos Giannakakis, Argyris Manetas, Panagiotis P. Filntisis +2
Learning visual representations from observing actions to benefit robot visuo-motor policy generation is a promising direction that closely resembles human cognitive function and p…
Proactive tactile exploration for object-agnostic shape reconstruction from minimal visual priors
Paris Oikonomou, George Retsinas, Petros Maragos +1
The perception of an object's surface is important for robotic applications enabling robust object manipulation. The level of accuracy in such a representation affects the outcome…
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…
Feather: An Elegant Solution to Effective DNN Sparsification
Athanasios Glentis Georgoulakis, George Retsinas, Petros Maragos
Neural Network pruning is an increasingly popular way for producing compact and efficient models, suitable for resource-limited environments, while preserving high performance. Whi…
Matrix Factorization in Tropical and Mixed Tropical-Linear Algebras
Ioannis Kordonis, Emmanouil Theodosis, George Retsinas +1
Matrix Factorization (MF) has found numerous applications in Machine Learning and Data Mining, including collaborative filtering recommendation systems, dimensionality reduction, d…
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…
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…
Visual Speech-Aware Perceptual 3D Facial Expression Reconstruction from Videos
Panagiotis P. Filntisis, George Retsinas, Foivos Paraperas-Papantoniou +3
The recent state of the art on monocular 3D face reconstruction from image data has made some impressive advancements, thanks to the advent of Deep Learning. However, it has mostly…