Nikolaos Giakoumoglou

According to our database, Nikolaos Giakoumoglou authored at least 11 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of five.

2026

Caption-Matching: A Multimodal Approach for Cross-Domain Image Retrieval.

Lucas Iijima, Nikolaos Giakoumoglou, Tania Stathaki

Proceedings of the 21st International Conference on Computer Vision Theory and Applications, 2026

Expert Clustering and Knowledge Transfer for Whole Slide Image Classification.

Kleanthis Marios Papadopoulos, Nikolaos Giakoumoglou, Andreas Floros, Pier Luigi Dragotti, Tania Stathaki

Proceedings of the 23rd IEEE International Symposium on Biomedical Imaging, 2026

2025

Fake & Square: Training Self-Supervised Vision Transformers with Synthetic Data and Synthetic Hard Negatives.

Nikolaos Giakoumoglou, Andreas Floros, Kleanthis Marios Papadopoulos, Tania Stathaki

CoRR, September, 2025

Unsupervised Training of Vision Transformers with Synthetic Negatives.

Nikolaos Giakoumoglou, Andreas Floros, Kleanthis Marios Papadopoulos, Tania Stathaki

CoRR, September, 2025

Cluster Contrast for Unsupervised Visual Representation Learning.

Nikolaos Giakoumoglou, Tania Stathaki

CoRR, July, 2025

2024

SynCo: Synthetic Hard Negatives in Contrastive Learning for Better Unsupervised Visual Representations.

Nikolaos Giakoumoglou, Tania Stathaki

CoRR, 2024

Relational Representation Distillation.

Nikolaos Giakoumoglou, Tania Stathaki

CoRR, 2024

Invariant Consistency for Knowledge Distillation.

Nikolaos Giakoumoglou, Tania Stathaki

CoRR, 2024

A review on discriminative self-supervised learning methods.

Nikolaos Giakoumoglou, Tania Stathaki

CoRR, 2024

2023

Towards Sustainable Farming: A Robust Decision Support System's Architecture for Agriculture 4.0.

Eleftheria Maria Pechlivani, Georgios Gkogkos, Nikolaos Giakoumoglou, Ioannis Hadjigeorgiou, Dimitrios Tzovaras

Proceedings of the 24th International Conference on Digital Signal Processing, 2023

2022

White Flies and Black Aphids Detection in Field Vegetable Crops using Deep Learning.

Nikolaos Giakoumoglou, Eleftheria Maria Pechlivani, Nikolaos Katsoulas, Dimitrios Tzovaras

Proceedings of the 5th IEEE International Conference on Image Processing Applications and Systems, 2022