Journals

1. C. Koutlis, M. Schinas, S. Papadopoulos, "MemeTector: enforcing deep focus for meme detection.", International Journal of Multimedia Information Retrieval,12. 2023. DOI: 10.1007/s13735-023-00277-6
2. S. I. Papadopoulos, C. Koutlis, S. Papadopoulos, I. Kompatsiaris, "VICTOR: Visual incompatibility detection with transformers and fashion-specific contrastive pre-training", . Journal of Visual Communication and Image Representation, 103741. https://doi.org/10.1016/j.jvcir.2022.103741
3. S. I. Papadopoulos, C. Koutlis, S. Papadopoulos, I. Kompatsiaris, "Multimodal Quasi-AutoRegression: Forecasting the visual popularity of new fashion products.", International Journal of Multimedia Information Retrieval. 11(4), 717-729. https://doi.org/10.1007/s13735-022-00262-5
4. C. Koutlis, M. Schinas, S. Papadopoulos, "MemeTector: Enforcing deep focus for meme detection.", International Journal of Multimedia Information Retrieval. 2022.
5. C. Koutlis, S. Papadopoulos, M. Schinas, I. Kompatsiaris, "LAVARNET: Neural network modeling of causal variable relationships for multivariate time series forecasting", Applied Soft Computing, vol. 96, p. 106685, 2020.
6. C. Koutlis, M. Schinas, S. Papadopoulos, I. Kompatsiaris, "GAP: Geometric Aggregation of Popularity Metrics", Information, vol. 11, no. 6, p. 323, 2020.

Conference

1. I. Sarridis, C. Koutlis, S. Papadopoulos, C. Diou, "Towards Fair Face Verification: An In-depth Analysis of Demographic Biases.", BIAS 2023 ECML/PKDD Workshop. https://doi.org/10.48550/arXiv.2307.10011
2. S. I. Papadopoulos, C. Koutlis, S. Papadopoulos, P. Petrantonakis, "Synthetic Misinformers: Generating and Combating Multimodal Misinformation.", In Proceedings of the 2nd ACM International Workshop on Multimedia AI against Disinformation (pp. 36-44). 2023, June. https://doi.org/10.1145/3592572.3592842
3. C. Koutlis, M. Schinas, S. Papadopoulos, "MemeFier: Dual-stage Modality Fusion for Image Meme Classification.", In Proceedings of the 2023 ACM International Conference on Multimedia Retrieval (ICMR '23). Association for Computing Machinery, New York, NY, USA, 586–591. https://doi.org/10.1145/3591106.3592254
4. S. I. Papadopoulos, C. Koutlis, A. Papazoglou Chalikias, S. Papadopoulos, S. Nikolopoulos, "Design-time Fashion Popularity Forecasting in VR Environments", In 2022 Conference on Computer Vision and Pattern Recognition (CVPR) “Ethical Considerations in Creative applications of Computer Vision” workshop.
5. I. Sarridis, C. Koutlis, O. Papadopoulou, S. Papadopoulos, "Leveraging Large-scale Multimedia Datasets to Refine Content Moderation Models.", In 2022 IEEE Eighth International Conference on Multimedia Big Data (BigMM) (pp. 125-132). IEEE. 2022 December.
6. A. Papazoglou Chalikias, E. Kouslis, O. Sarakatsanos, A. Boikou, S. I. Papadopoulos, C. Koutlis, S. Papadopoulos, S. Nikolopoulos, I. Kompatsiaris, D. Gavilan, D. Shin, Y. Chen, A. François, M. Jauk, J. Sutherland, "Novel Paradigms of Human-Fashion Interaction.", In Proceedings of the 12th Hellenic Conference on Artificial Intelligence (pp. 1-11). (SETN '22). Association for Computing Machinery, New York, NY, USA, Article 62, 1–11. https://doi.org/10.1145/3549737.3549803
7. S. I. Papadopoulos, C. Koutlis, M. Pugliese, M. Sudheer, D. Rabiller, S. Papadopoulos, I. Kompatsiaris, "Attentive Hierarchical Label Sharing for Enhanced Garment and Attribute Classification of Fashion Imagery.", In Recommender Systems in Fashion and Retail: Proceedings of the Third Workshop at the Recommender Systems Conference (2021) (pp. 95-115). Cham: Springer International Publishing. (2022, March).
8. C. Koutlis, M. Schinas, V. Gkatziaki, S. Papadopoulos, I. Kompatsiaris, "Data-driven song recognition estimation using collective memory dynamics models", In Proceedings of the 20th International Society for Music Information Retrieval Conference, ISMIR 2019, 4-8 November 2019. (accepted)