29 citations · 30 across the 4 of their papers we have counts for
8 papers
Latent-Foresight: End-to-End Learning Predictable Representations for Latent World Models
Efstathios Karypidis, Spyros Gidaris, Nikos Komodakis
Predicting the future evolution of a scene is a fundamental capability for world modeling. Recent work has shown that operating in the feature space of Vision Foundation Models (VF…
Deepfakes and Synthetic Media: Generation, Detection, and Governance
Alexandros Gazis, Efstathios Karypidis, Kleanthi Santamouri +3
Deepfakes, synthetic audiovisual content produced by deep generative models, have escalated into a critical threat across civilian and military domains, enabling identity fraud, di…
Representations Before Pixels: Semantics-Guided Hierarchical Video Prediction
Efstathios Karypidis, Spyros Gidaris, Nikos Komodakis
Accurate future video prediction requires both high visual fidelity and consistent scene semantics, particularly in complex dynamic environments such as autonomous driving. We pres…
Boosting Generative Image Modeling via Joint Image-Feature Synthesis
Theodoros Kouzelis, Efstathios Karypidis, Ioannis Kakogeorgiou +2
Latent diffusion models (LDMs) dominate high-quality image generation, yet integrating representation learning with generative modeling remains a challenge. We introduce a novel ge…
Technical Report for the 5th CLVision Challenge at CVPR: Addressing the Class-Incremental with Repetition using Unlabeled Data -- 4th Place Solution
Panagiota Moraiti, Efstathios Karypidis
This paper outlines our approach to the 5th CLVision challenge at CVPR, which addresses the Class-Incremental with Repetition (CIR) scenario. In contrast to traditional class incre…
Advancing Semantic Future Prediction through Multimodal Visual Sequence Transformers
Efstathios Karypidis, Ioannis Kakogeorgiou, Spyros Gidaris +1
Semantic future prediction is important for autonomous systems navigating dynamic environments. This paper introduces FUTURIST, a method for multimodal future semantic prediction t…
DINO-Foresight: Looking into the Future with DINO
Efstathios Karypidis, Ioannis Kakogeorgiou, Spyros Gidaris +1
Predicting future dynamics is crucial for applications like autonomous driving and robotics, where understanding the environment is key. Existing pixel-level methods are computatio…
Comparison Analysis of Traditional Machine Learning and Deep Learning Techniques for Data and Image Classification
Efstathios Karypidis, Stylianos G. Mouslech, Kassiani Skoulariki +1
The purpose of the study is to analyse and compare the most common machine learning and deep learning techniques used for computer vision 2D object classification tasks. Firstly, w…