Publications

2027

  1. An Empirical Study of Training Self-Supervised Vision Transformers with Synthetic Hard Negatives
    N. Giakoumoglou, A. Floros, K. M. Papadopoulos, T. Stathaki
    In WACV, 2027
    arXiv Code
    @misc{giakoumoglou2026vitamins, title={{ViTAMINS: An Empirical Study of Training Self-Supervised Vision Transformers with Synthetic Hard Negatives}}, author={Nikos Giakoumoglou and Andreas Floros and Kleanthis-Marios Papadopoulos and Tania Stathaki}, year={2026}, eprint={2609.01041}, archivePrefix={arXiv}, primaryClass={cs.CV}, url={https://arxiv.org/abs/2609.01041}, }

2026

  1. What Makes Synthetic Hard Negatives Work in Vision-Language Pretraining?
    N. Giakoumoglou, P. Giakoumoglou, A. Floros, K. M. Papadopoulos, T. Stathaki
    In ACCV, 2026
  2. Three Necessary Principles for Self-Supervised Visual Representation Learning
    N. Giakoumoglou, P. Giakoumoglou, T. Stathaki
    In ECCV Workshop "UniWorld", 2026
    arXiv
    @misc{giakoumoglou2026three, title={{Three Necessary Principles for Self-Supervised Visual Representation Learning}}, author={Nikos Giakoumoglou and Paschalis Giakoumoglou and Tania Stathaki}, year={2026}, eprint={2608.08309}, archivePrefix={arXiv}, primaryClass={cs.CV}, url={https://arxiv.org/abs/2608.08309}, }
  3. Discriminative and Consistent Representation Distillation
    N. Giakoumoglou, T. Stathaki
    In ECCV Workshop "MELEX" (Oral), 2026
    arXiv
    @misc{giakoumoglou2026discriminative, title={{Discriminative and Consistent Representation Distillation}}, author={Nikos Giakoumoglou and Tania Stathaki}, year={2026}, eprint={2407.11802}, archivePrefix={arXiv}, primaryClass={cs.CV}, url={https://arxiv.org/abs/2407.11802}, }
  4. Open-World Semantic Segmentation with Sensitivity Modeling
    A. R. Varvarigos, N. Giakoumoglou, T. Stathaki
    In ICIP Workshop "M-PaSTIVE" (Oral), 2026
    arXiv
    @misc{varvarigos2026openworld, title={{Open-World Semantic Segmentation with Sensitivity Modeling}}, author={Anastasios Romanos Varvarigos and Nikos Giakoumoglou and Tania Stathaki}, year={2026}, eprint={2608.08308}, archivePrefix={arXiv}, primaryClass={cs.CV}, url={https://arxiv.org/abs/2608.08308}, }
  5. A Review on Artificial Intelligence Methods for Plant Disease and Pest Detection
    N. Giakoumoglou, D. Kapetas, K. M. Papadopoulos, P. Christakakis, T. Stathaki, E. M. Pechlivani
    In AI and Precision Agriculture, 2026
    MDPI
    @article{giakoumoglou2026plantreview, title={{A Review on Artificial Intelligence Methods for Plant Disease and Pest Detection}}, author={Giakoumoglou, Nikolaos and Kapetas, Dimitrios and Papadopoulos, Kleanthis Marios and Christakakis, Panagiotis and Stathaki, Tania and Pechlivani, Eleftheria Maria}, journal={AI and Precision Agriculture}, volume={1}, number={1}, pages={2}, year={2026}, doi={10.3390/aipa1010002}, publisher={MDPI} }
  6. Expert Clustering and Knowledge Transfer for Whole Slide Image Classification
    K. M. Papadopoulos, N. Giakoumoglou, A. Floros, P. L. Dragotti, T. Stathaki
    In ISBI (Oral), 2026
    IEEE Code
    @inproceedings{papadopoulos2026expert, author={Papadopoulos, Kleanthis Marios and Giakoumoglou, Nikolaos and Floros, Andreas and Dragotti, Pier Luigi and Stathaki, Tania}, booktitle={2026 IEEE 23rd International Symposium on Biomedical Imaging (ISBI)}, title={{Expert Clustering and Knowledge Transfer for Whole Slide Image Classification}}, year={2026}, volume={}, number={}, pages={1-5}, keywords={Modeling;Training;Labeling;Printing;Learning (artificial intelligence);Equations;Pathology;Accuracy;Imaging;Digital Pathology;Knowledge Distillation, Multiple Instance Learning;Representation Bottleneck}, doi={10.1109/ISBI61048.2026.11515371}}
  7. A Multimodal Approach for Cross-Domain Image Retrieval
    L. Iijima, N. Giakoumoglou and T. Stathaki
    In VISAPP (Oral), 2026
    SciTePress arXiv
    @conference{iijima2024caption, author={Lucas Iijima and Nikolaos Giakoumoglou and Tania Stathaki}, title={{Caption-Matching: A Multimodal Approach for Cross-Domain Image Retrieval}}, booktitle={Proceedings of the 21st International Conference on Computer Vision Theory and Applications - Volume 3: VISAPP}, year={2026}, pages={600-607}, publisher={SciTePress}, organization={INSTICC}, doi={10.5220/0014460000004084}, isbn={978-989-758-804-4}, issn={2184-4321}, }

2025

  1. Mitigating Representation Bottlenecks in Multiple Instance Learning
    K. M. Papadopoulos, N. Giakoumoglou, A. Floros, T. Stathaki
    In NeurIPS Workshop "MedEurIPS" (non-archival), 2025
    OpenReview
    @inproceedings{papadopoulos2025mitigating, title={{Mitigating Representation Bottlenecks in Multiple Instance Learning}}, author={Papadopoulos, Kleanthis Marios and Giakoumoglou, Nikolaos and Floros, Andreas and Dragotti, Pier Luigi and Stathaki, Tania}, booktitle={Medical Imaging meets NeurIPS Workshop (MedNeurIPS)}, year={2025}, url={https://openreview.net/forum?id=nywAT7N8Do} }
  2. Cluster Contrast for Unsupervised Visual Representation Learning
    N. Giakoumoglou, T. Stathaki
    In ICIP, 2025
    IEEE arXiv
    @inproceedings{giakoumoglou2025cluster, title={{Cluster Contrast for Unsupervised Visual Representation Learning}}, author={Giakoumoglou, Nikolaos and Stathaki, Tania}, booktitle={2025 IEEE International Conference on Image Processing (ICIP)}, pages={133--138}, year={2025}, organization={IEEE} }
  3. Training Self-Supervised Vision Transformers with Synthetic Data and Synthetic Hard Negatives
    N. Giakoumoglou, A. Floros, K. M. Papadopoulos, T. Stathaki
    In ICCV Workshop "LIMIT" (non-archival), 2025
    OpenReview arXiv Code
    @inproceedings{giakoumoglou2025fake, title={{Fake \& Square: Training Self-Supervised Vision Transformers with Synthetic Data and Synthetic Hard Negatives}}, author={Nikolaos Giakoumoglou and Andreas Floros and Kleanthis Marios Papadopoulos and Tania Stathaki}, booktitle={Representation Learning with Very Limited Resources: When Data, Modalities, Labels, and Computing Resources are Scarce}, year={2025}, url={https://openreview.net/forum?id=TJUfbYKo2c} }
  4. Unsupervised Training of Vision Transformers with Synthetic Negatives
    N. Giakoumoglou, A. Floros, K. M. Papadopoulos, T. Stathaki
    In CVPR Workshop "Visual Concepts" (non-archival), 2025
    OpenReview arXiv Code
    @inproceedings{giakoumoglou2025unsupervised, title={{Unsupervised Training of Vision Transformers with Synthetic Negatives}}, author={Nikolaos Giakoumoglou and Andreas Floros and Kleanthis Marios Papadopoulos and Tania Stathaki}, booktitle={Second Workshop on Visual Concepts}, year={2025}, url={https://openreview.net/forum?id=dg8FuaOKnC}, }

2024

  1. SynCo: Synthetic Hard Negatives for Contrastive Visual Representation Learning
    N. Giakoumoglou and T. Stathaki
    Under review
    arXiv Code
    @misc{giakoumoglou2024synco, title={{SynCo: Synthetic Hard Negatives for Contrastive Visual Representation Learning}}, author={Nikolaos Giakoumoglou and Tania Stathaki}, year={2024}, eprint={2410.02401}, archivePrefix={arXiv}, primaryClass={cs.CV}, url={https://arxiv.org/abs/2410.02401}, }
  2. Relational Representation Distillation
    N. Giakoumoglou and T. Stathaki
    Under review
    arXiv Code
    @misc{giakoumoglou2024rrd, title={{Relational Representation Distillation}}, author={Nikolaos Giakoumoglou and Tania Stathaki}, year={2024}, eprint={2407.12073}, archivePrefix={arXiv}, primaryClass={cs.CV}, url={https://arxiv.org/abs/2407.12073}, }
  3. A Review on Discriminative Self-supervised Learning Methods
    N. Giakoumoglou, T. Stathaki, A. Gkelias
    Under review
    arXiv
    @misc{giakoumoglou2024review, title={{A Review on Discriminative Self-supervised Learning Methods in Computer Vision}}, author={Nikolaos Giakoumoglou and Tania Stathaki and Athanasios Gkelias}, year={2025}, eprint={2405.04969}, archivePrefix={arXiv}, primaryClass={cs.CV}, url={https://arxiv.org/abs/2405.04969}, }