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Dr. Christos Koutlis -
Publications

Journals

  1. F. D’Asaro, S. De Luca, L. Bongiovanni, G. Rizzo, S. Papadopoulos, M. Schinas, C. Koutlis, "Zero-Shot Content-Based Crossmodal Recommendation System.", Expert Systems with Applications, vol. 258. Elsevier BV, p. 125108, Dec. 2024. doi: 10.1016/j.eswa.2024.125108
  2. V. Arailopoulos, C. Koutlis, S. Papadopoulos, P. C. Petrantonakis, "PolyMeme: Fine-Grained Internet Meme Sensing.", Sensors, vol. 24, no. 17. MDPI AG, p. 5456, Aug. 23, 2024. doi: 10.3390/s24175456
  3. P. Melzi, R. Tolosana, R. Vera-Rodriguez, M. Kim, C. Rathgeb, X. Liu, I. DeAndres-Tame, A. Morales, J. Fierrez, J. Ortega-Garcia, W. Zhao, X. Zhu, Z. Yan, X. Zhang, J. Wu, Z. Lei, S. Tripathi, M. Kothari, M. H. Zama, D. Deb, B. Biesseck, P. Vidal, R. Granada, G. Fickel, G. Führ, D. Menotti, A. Unnervik, A. George, C. Ecabert, H. O. Shahreza, P. Rahimi, S. Marcel, I. Sarridis, C. Koutlis, G. Baltsou, S. Papadopoulos, C. Diou, N. D. Domenico, G. Borghi, L. Pellegrini, E. Mas-Candela, A. Sánchez-Pérez, A. Atzori, F. Boutros, N. Damer, G. Fenu, M. Marras, "FRCSyn-onGoing: Benchmarking and comprehensive evaluation of real and synthetic data to improve face recognition systems.", Information Fusion, vol. 107. Elsevier BV, p. 102322, Jul. 2024. doi: 10.1016/j.inffus.2024.102322
  4. S. I. Papadopoulos, C. Koutlis, S. Papadopoulos, P. C. Petrantonakis, "VERITE: a Robust benchmark for multimodal misinformation detection accounting for unimodal bias.", International Journal of Multimedia Information Retrieval, vol. 13, no. 1. Springer Science and Business Media LLC, Jan. 08, 2024. doi: 10.1007/s13735-023-00312-6
  5. 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
  6. 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
  7. 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
  8. C. Koutlis, M. Schinas, S. Papadopoulos, "MemeTector: Enforcing deep focus for meme detection.", International Journal of Multimedia Information Retrieval. 2022.
  9. 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.
  10. C. Koutlis, M. Schinas, S. Papadopoulos, I. Kompatsiaris, "GAP: Geometric Aggregation of Popularity Metrics", Information, vol. 11, no. 6, p. 323, 2020.

Conference

  1. C. Koutlis, S. Papadopoulos, "Leveraging Representations from Intermediate Encoder-blocks for Synthetic Image Detection.", Proc. of ECCV 2024.
  2. J. Huertas-Tato, C. Koutlis, S. Papadopoulos, D. Camacho, I. Kompatsiaris, "A CLIP-based Siamese Approach for Meme Classification.", Proc. of 2024 International Joint Conference on Neural Networks (IJCNN). IEEE, Jun. 30, 2024. doi: 10.1109/ijcnn60899.2024.10650898
  3. A. Roy, C. Koutlis, S. Papadopoulos, E. Ntoutsi, "FairBranch: Mitigating Bias Transfer in Fair Multi-task Learning.", Proc. of 2024 International Joint Conference on Neural Networks (IJCNN), IEEE, Jun. 30, 2024. doi: 10.1109/ijcnn60899.2024.10651221
  4. I. Sarridis, C. Koutlis, S. Papadopoulos, C. Diou, "FaceX: Understanding Face Attribute Classifiers through Summary Model Explanations.", Proceedings of the 2024 International Conference on Multimedia Retrieval (ICMR), vol. 80. ACM, pp. 758–766, May 30, 2024. doi: 10.1145/3652583.3658007
  5. G. Baltsou, I. Sarridis, C. Koutlis, S. Papadopoulos, "SDFD: Building a Versatile Synthetic Face Image Dataset with Diverse Attributes.", Proc. of FG 2024 ReFIP workshop.
  6. P. Melzi, R. Tolosana, R. Vera-Rodriguez, M. Kim, C. Rathgeb, X. Liu, I. DeAndres-Tame, A. Morales, J. Fierrez, J. Ortega-Garcia, W. Zhao, X. Zhu, Z. Yan, X. Zhang, J. Wu, Z. Lei, S. Tripathi, M. Kothari, M. Zama, D. Deb, B. Biesseck, P. Vidal, R. Granada, G. Fickel, G. Führ, D. Menotti, A. Unnervik, A. George, C. Ecabert, H. O. Shahreza, P. Rahimi, S. Marcel, I. Sarridis, C. Koutlis, G. Baltsou, S. Papadopoulos, C. Diou, N. Di Domenico, G. Borghi, L. Pellegrini, E. Mas-Candela, A. Sánchez-Pérez, A. Atzori, G. Fenu, F. Boutros, M. Marras, N. Damer, "FRCSyn Challenge at WACV 2024: Face Recognition Challenge in the Era of Synthetic Data.", 2024 IEEE/CVF Winter Conference on Applications of Computer Vision Workshops (WACVW). IEEE, Jan. 01, 2024. doi: 10.1109/wacvw60836.2024.00100
  7. 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
  8. 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
  9. 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
  10. 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.
  11. 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.
  12. 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
  13. 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).
  14. 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)
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