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20182025
most citedThe evolution of argumentation mining: From models to social media and emerging tools

51 citations · 66 across the 21 of their papers we have counts for

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6 papers · 1 filter

cs.CV2025

State of play and future directions in industrial computer vision AI standards

Artemis Stefanidou, Panagiotis Radoglou-Grammatikis, Vasileios Argyriou +3

The recent tremendous advancements in the areas of Artificial Intelligence (AI) and Deep Learning (DL) have also resulted into corresponding remarkable progress in the field of Com…

cs.CV2024

A Closer Look at Data Augmentation Strategies for Finetuning-Based Low/Few-Shot Object Detection

Vladislav Li, Georgios Tsoumplekas, Ilias Siniosoglou +4

Current methods for low- and few-shot object detection have primarily focused on enhancing model performance for detecting objects. One common approach to achieve this is by combin…

cs.CV2024★ 2 cited

Advances in Diffusion Models for Image Data Augmentation: A Review of Methods, Models, Evaluation Metrics and Future Research Directions

Panagiotis Alimisis, Ioannis Mademlis, Panagiotis Radoglou-Grammatikis +2

Image data augmentation constitutes a critical methodology in modern computer vision tasks, since it can facilitate towards enhancing the diversity and quality of training datasets…

cs.CV2024★ 2 cited

Autonomous AI-enabled Industrial Sorting Pipeline for Advanced Textile Recycling

Yannis Spyridis, Vasileios Argyriou, Antonios Sarigiannidis +2

The escalating volumes of textile waste globally necessitate innovative waste management solutions to mitigate the environmental impact and promote sustainability in the fashion in…

cs.CV2023

Evaluation of Environmental Conditions on Object Detection using Oriented Bounding Boxes for AR Applications

Vladislav Li, Barbara Villarini, Jean-Christophe Nebel +3

The objective of augmented reality (AR) is to add digital content to natural images and videos to create an interactive experience between the user and the environment. Scene analy…

cs.CV2019

Smart IoT Cameras for Crowd Analysis based on augmentation for automatic pedestrian detection, simulation and annotation

Antoine Rimboux, Rob Dupre, Thomas Lagkas +3

Smart video sensors for applications related to surveillance and security are IOT-based as they use Internet for various purposes. Such applications include crowd behaviour monitor…