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Δρ. Χρήστος Κουτλής -
Δημοσιεύσεις

Δημοσιεύσεις Σε Περιοδικά

  1. I. Sarridis, C. Koutlis, S. Papadopoulos, C. Diou, "FLAC: Fairness-Aware Representation Learning by Suppressing Attribute-Class Associations.", IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024, doi: 10.48550/ARXIV.2304.14252
  2. 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, December 2024, doi: 10.1016/j.eswa.2024.125108
  3. V. Arailopoulos, C. Koutlis, S. Papadopoulos, P. C. Petrantonakis, "PolyMeme: Fine-Grained Internet Meme Sensing.", Sensors, vol. 24, no. 17. MDPI AG, August 23, 2024. doi: 10.3390/s24175456
  4. 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, July 2024, doi: 10.1016/j.inffus.2024.102322
  5. 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, January 08, 2024, doi: 10.1007/s13735-023-00312-6
  6. C. Koutlis, M. Schinas, S. Papadopoulos, "MemeTector: enforcing deep focus for meme detection.", International Journal of Multimedia Information Retrieval, vol. 12, 2023, doi: 10.1007/s13735-023-00277-6
  7. 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, vol. 90, 2023. https://doi.org/10.1016/j.jvcir.2022.103741
  8. 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, vol. 11, pp. 717-729, 2022. https://doi.org/10.1007/s13735-022-00262-5
  9. C. Koutlis, M. Schinas, S. Papadopoulos, "MemeTector: Enforcing deep focus for meme detection.", International Journal of Multimedia Information Retrieval, 2022.
  10. 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.
  11. C. Koutlis, M. Schinas, S. Papadopoulos, I. Kompatsiaris, "GAP: Geometric Aggregation of Popularity Metrics", Information, vol. 11, no. 6, p. 323, 2020.

Δημοσιεύσεις Σε Συνέδρια

  1. S. I. Papadopoulos, C. Koutlis, S. Papadopoulos, P. C. Petrantonakis, "Similarity over Factuality: Are we making progress on multimodal out-of-context misinformation detection?.", in Proceedings of the WACV, 2025.
  2. C. Koutlis, S. Papadopoulos, "Leveraging Representations from Intermediate Encoder-blocks for Synthetic Image Detection.", in Proceedings of the ECCV, 2024.
  3. J. Huertas-Tato, C. Koutlis, S. Papadopoulos, D. Camacho, I. Kompatsiaris, "A CLIP-based Siamese Approach for Meme Classification.", in Proceedings of the International Joint Conference on Neural Networks (IJCNN), IEEE, June 30, 2024. doi: 10.1109/ijcnn60899.2024.10650898
  4. A. Roy, C. Koutlis, S. Papadopoulos, E. Ntoutsi, "FairBranch: Mitigating Bias Transfer in Fair Multi-task Learning.", in Proceedings of the International Joint Conference on Neural Networks (IJCNN), IEEE, June 30, 2024. doi: 10.1109/ijcnn60899.2024.10651221
  5. I. Sarridis, C. Koutlis, S. Papadopoulos, C. Diou, "FaceX: Understanding Face Attribute Classifiers through Summary Model Explanations.", in Proceedings of the 2024 International Conference on Multimedia Retrieval (ICMR), vol. 80. ACM, May 30, 2024, pp. 758–766, doi: 10.1145/3652583.3658007
  6. G. Baltsou, I. Sarridis, C. Koutlis, S. Papadopoulos, "SDFD: Building a Versatile Synthetic Face Image Dataset with Diverse Attributes.", in Proceedings of the IEEE 18th International Conference on Automatic Face and Gesture Recognition (FG), 2024, doi: 10.1109/FG59268.2024.10581864
  7. 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.", in Procceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision Workshops (WACVW), January 01, 2024, pp. 892-901, doi: 10.1109/wacvw60836.2024.00100
  8. I. Sarridis, C. Koutlis, S. Papadopoulos, C. Diou, "Towards Fair Face Verification: An In-depth Analysis of Demographic Biases.", in Proceedings of the BIAS 2023 ECML/PKDD Workshop, 2023. https://doi.org/10.48550/arXiv.2307.10011
  9. 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, June, 2023, pp. 36-44. https://doi.org/10.1145/3592572.3592842
  10. 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, 2023, pp. 586-591. https://doi.org/10.1145/3591106.3592254
  11. S. I. Papadopoulos, C. Koutlis, A. Papazoglou Chalikias, S. Papadopoulos, S. Nikolopoulos, "Design-time Fashion Popularity Forecasting in VR Environments.", in Proceedings of the Conference on Computer Vision and Pattern Recognition (CVPR), “Ethical Considerations in Creative applications of Computer Vision” workshop, 2022.
  12. I. Sarridis, C. Koutlis, O. Papadopoulou, S. Papadopoulos, "Leveraging Large-scale Multimedia Datasets to Refine Content Moderation Models.", in Procedings of the IEEE Eighth International Conference on Multimedia Big Data (BigMM), December, 2022, pp. 125-132.
  13. 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 (SETN '22), Association for Computing Machinery, New York, NY, USA, 2022, pp. 1-11. https://doi.org/10.1145/3549737.3549803
  14. 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 Proceedings of the Third Workshop on Recommender Systems in Fashion and Retail at the Recommender Systems Conference (RecSys 2021), Cham, Switzerland: Springer International Publishing, March 2022, pp. 95–115.
  15. 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)