Comparison Analysis of Traditional Machine Learning and Deep Learning Techniques for Data and Image Classification. - Efstathios Karypidis; Stylianos G. Mouslech; Kassiani Skoulariki; Alexandros Gazis (CoRR, 2022)

Point Contrastive learning for LiDAR-based 3D object detection in autonomous driving. - Efstathios Karypidis; Georgios Zamanakos; Lazaros T. Tsochatzidis; Ioannis Pratikakis (DSP, 2023)

SFTC: Machine Unlearning via Selective Fine-tuning and Targeted Confusion. - Vasileios Perifanis; Efstathios Karypidis; Nikos Komodakis; Pavlos S. Efraimidis (EICC, 2024)

DINO-Foresight: Looking into the Future with DINO. - Efstathios Karypidis; Ioannis Kakogeorgiou; Spyros Gidaris; Nikos Komodakis (CoRR, 2024)

Advancing Semantic Future Prediction through Multimodal Visual Sequence Transformers. - Efstathios Karypidis; Ioannis Kakogeorgiou; Spyros Gidaris; Nikos Komodakis (CVPR, 2025)

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 (CoRR, 2025)

Boosting Generative Image Modeling via Joint Image-Feature Synthesis. - Theodoros Kouzelis; Efstathios Karypidis; Ioannis Kakogeorgiou; Spyros Gidaris; Nikos Komodakis (CoRR, 2025)