6th Place Solution to Google Universal Image Embedding. - Socratis Gkelios; Anestis Kastellos; Savvas A. Chatzichristofis (CoRR, 2022)

Autonomous Driving Through Deep Learning in Video Games: A Visual-Based Perception and Action Approach. - Anestis Kastellos; Socratis Gkelios; Savvas A. Chatzichristofis; Pericles Leng Cheng (DCOSS-IoT, 2023)

FedLID: Self-Supervised Federated Learning for Leveraging Limited Image Data. - Athanasios Psaltis; Anestis Kastellos; Charalampos Z. Patrikakis; Petros Daras (ICCV (Workshops), 2023)

Universal Image Embedding: Retaining and Expanding Knowledge With Multi-Domain Fine-Tuning. - Socratis Gkelios; Anestis Kastellos; Yiannis S. Boutalis; Savvas A. Chatzichristofis (IEEE Access, 2023)

FedRAL: Cost-Effective Distributed Annotation via Federated Reinforced Active Learning. - Yannis Lazaridis; Anestis Kastellos; Athanasios Psaltis; Petros Daras (IEEE Big Data, 2024)

FedHARM: Harmonizing Model Architectural Diversity in Federated Learning. - Anestis Kastellos; Athanasios Psaltis; Charalampos Z. Patrikakis; Petros Daras (ECCV (63), 2024)

TenebrioVision: A Fully Annotated Dataset of Tenebrio Molitor Larvae Worms in a Controlled Environment for Accurate Small Object Detection and Segmentation. - Angelos-Michael Papadopoulos; Paschalis Melissas; Anestis Kastellos; Panagiotis Katranitsiotis; Panagiotis Zaparas; Konstantinos Stavridis; Petros Daras (ICPRAM, 2024)