2022
- N. Passalis, S.Pedrazzi, R.Babuska, W.Burgard, D.Dias, F.Ferro, M.Gabbouj, O.Green, A.Iosifidis, E.Kayacan, J.Kober, O.Michel, N.Nikolaidis, P. Nousi, R.Pieters, M. Tzelepi, A. Valada and A.Tefas, "OpenDR: An open toolkit for enabling high performance, low footprint deep learning for robotics", in 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 12479-12484, Oct, 2022.
- M. Tzelepi, C. Symeonidis, N.Nikolaidis and A.Tefas, "Multilayer Online Self-Acquired Knowledge Distillation", 2022 26th International Conference on Pattern Recognition (ICPR), pp. 4822-4828, 2022.
- M. Tzelepi, C. Symeonidis, N.Nikolaidis and A.Tefas, "Real-time synthetic-to-real human detection for robotics applications", 2022 13th International Conference on Information, Intelligence, Systems & Applications (IISA), pp. 1-5, 2022.
2020
- M. Tzelepi and A.Tefas, "Quadratic Mutual Information Regularization in Real-Time Deep CNN Models", 30th IEEE International Workshop on Machine Learning for Signal Processing (MLSP), 2020.
- C. Nasioutzikis, M. Tzelepi and A.Tefas, "Deep Hashing Regularization Towards Hamming Space Retrieval", 11th Hellenic Conference on Artificial Intelligence, 2020.
- N. Passalis, M. Tzelepi and A.Tefas, "Multilayer Probabilistic Knowledge Transfer for Learning Image Representations", IEEE International Symposium on Circuits and Systems (ISCAS), 2020.
- N. Passalis, M. Tzelepi and A.Tefas, "Heterogeneous Knowledge Distillation using Information Flow Modeling", IEEE Conference on Computer Vision and Pattern Recognition, 2020.
2019
- E. Kakaletsis, M. Tzelepi, P. I. Kaplanoglou, C. Symeonidis, N.Nikolaidis, A.Tefas and I.Pitas, "Semantic Map Annotation Through UAV Video Analysis Using Deep Learning Models in ROS", Proceedings of the International Conference on MultiMedia Modeling (MMM), 2019.
- M. Tzelepi and A.Tefas, "Discriminant Analysis Regularization in Lightweight Deep CNN Models", Proceedings of the 26th IEEE International Conference on Image Processing (ICIP), 2019.
- M. Tzelepi and A.Tefas, "Improving the Performance of Lightweight CNN Models Using Minimum Enclosing Ball Regularization", Proceedings of the 27th European Signal Processing Conference (EUSIPCO), 2019.
2018
- M. Tzelepi and A.Tefas, "Fully Unsupervised Optimization of CNN Features Towards Content Based Image Retrieval", Proceedings of the IEEE 13th Image, Video, and Multidimensional Signal Processing Workshop (IVMSP), 2018.
- M. Tzelepi and A.Tefas, "Fully Unsupervised Convolutional Learning for Fast Image Retrieval", Proceedings of the ACM 10th Hellenic Conference on Artificial Intelligence, 2018.
2017
- M. Tzelepi and A.Tefas, "Human Crowd Detection for Drone Flight Safety Using Convolutional Neural Networks", Proceedings of the European Signal Processing Conference (EUSIPCO), 2017.
2016
- M. Tzelepi and A.Tefas, "Relevance Feedback in Deep Convolutional Neural Networks for Content Based Image Retrieval", Hellenic Conference on Artificial Intelligence (SETN), 2016.
- M. Tzelepi and A.Tefas, "Exploiting supervised learning for finetuning deep CNNs in Content Based Image Retrieval", International Conference on Pattern Recognition (ICPR), 2016.
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