| Deep convolutional learning for content based image retrieval M Tzelepi, A Tefas Neurocomputing 275, 2467-2478, 2018 | 221 | 2018 |
| Heterogeneous knowledge distillation using information flow modeling N Passalis, M Tzelepi, A Tefas Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 134 | 2020 |
| Probabilistic knowledge transfer for lightweight deep representation learning N Passalis, M Tzelepi, A Tefas IEEE Transactions on Neural Networks and Learning Systems 32 (5), 2030-2039, 2020 | 113 | 2020 |
| Computer vision for autonomous UAV flight safety: An overview and a vision-based safe landing pipeline example E Kakaletsis, C Symeonidis, M Tzelepi, I Mademlis, A Tefas, N Nikolaidis, ... Acm Computing Surveys (Csur) 54 (9), 1-37, 2021 | 76 | 2021 |
| Human crowd detection for drone flight safety using convolutional neural networks M Tzelepi, A Tefas 2017 25th European Signal Processing Conference (EUSIPCO), 743-747, 2017 | 74 | 2017 |
| Graph embedded convolutional neural networks in human crowd detection for drone flight safety M Tzelepi, A Tefas IEEE Transactions on Emerging Topics in Computational Intelligence 5 (2 …, 2019 | 58 | 2019 |
| Exploiting tf-idf in deep convolutional neural networks for content based image retrieval N Kondylidis, M Tzelepi, A Tefas Multimedia Tools and Applications 77 (23), 30729-30748, 2018 | 32 | 2018 |
| Improving the performance of lightweight CNNs for binary classification using quadratic mutual information regularization M Tzelepi, A Tefas Pattern Recognition 106, 107407, 2020 | 29 | 2020 |
| Relevance feedback in deep convolutional neural networks for content based image retrieval M Tzelepi, A Tefas Proceedings of the 9th hellenic conference on artificial intelligence, 1-7, 2016 | 23 | 2016 |
| Online subclass knowledge distillation M Tzelepi, N Passalis, A Tefas Expert Systems with Applications 181, 115132, 2021 | 21 | 2021 |
| Deep convolutional image retrieval: A general framework M Tzelepi, A Tefas Signal Processing: Image Communication 63, 30-43, 2018 | 20 | 2018 |
| Opendr: An open toolkit for enabling high performance, low footprint deep learning for robotics N Passalis, S Pedrazzi, R Babuska, W Burgard, D Dias, F Ferro, ... 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2022 | 19 | 2022 |
| Learning deep spatiotemporal features for video captioning E Daskalakis, M Tzelepi, A Tefas Pattern Recognition Letters 116, 143-149, 2018 | 19 | 2018 |
| Semantic map annotation through UAV video analysis using deep learning models in ROS E Kakaletsis, M Tzelepi, PI Kaplanoglou, C Symeonidis, N Nikolaidis, ... MultiMedia Modeling: 25th International Conference, MMM 2019, Thessaloniki …, 2019 | 12 | 2019 |
| Exploiting supervised learning for finetuning deep CNNs in content based image retrieval M Tzelepi, A Tefas 2016 23rd International Conference on Pattern Recognition (ICPR), 2918-2923, 2016 | 12 | 2016 |
| Electric load demand forecasting on greek energy market using lightweight neural networks N Maragkos, M Tzelepi, N Passalis, A Adamakos, A Tefas 2022 IEEE 14th Image, Video, and Multidimensional Signal Processing Workshop …, 2022 | 9 | 2022 |
| Semantic scene segmentation for robotics applications M Tzelepi, A Tefas 2021 12th International Conference on Information, Intelligence, Systems …, 2021 | 9 | 2021 |
| Forecasting day-ahead electric load demand on greek energy market M Tzelepi, A Tefas 2022 13th International Conference on Information, Intelligence, Systems …, 2022 | 7 | 2022 |
| Probabilistic online self-distillation M Tzelepi, N Passalis, A Tefas Neurocomputing 493, 592-604, 2022 | 7 | 2022 |
| Class-specific discriminant regularization in real-time deep CNN models for binary classification problems M Tzelepi, A Tefas Neural Processing Letters 51 (2), 1989-2005, 2020 | 7 | 2020 |
Anastasios TefasProfessor, Department of Informatics, Aristotle University of Thessaloniki在 csd.auth.gr 的电子邮件经过验证
