7 citations · 18 across the 26 of their papers we have counts for
10 papers · 1 filter
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…