Publications

No. Title
01 OpenDR Project Poster

Journals
No. Title Authors Journal
01 Multilinear Compressive Learning Dat Thanh Tran, Mehmet Yamaç, Aysen Degerli, Moncef Gabbouj, Alexandros Iosifidis IEEE Transactions on Neural Networks and Learning Systems, 2020
02 Hypersphere-Based Weight Imprinting for Few-Shot Learning on Embedded Devices N. Passalis, A. Iosifidis, M. Gabbouj, and A. Tefas IEEE Transactions on Neural Networks and Learning Systems, 2020
03 Improving the performance of lightweight CNNs for binary classification using Quadratic Mutual Information regularization M. Tzelepi and A.Tefas Pattern Recognition, 2020
Conferences
No. Title Authors Conference
01 Heterogeneous Knowledge Distillation using Information Flow Modeling (Code) Ν. Passalis, M. Tzelepi, and A. Tefas IEEE Conference on Computer Vision and Pattern Recognition, 2020
02 Deepbots: A Webots-Based Deep Reinforcement Learning Framework for Robotics (Code) M. Kirtas, K. Tsampazis, N. Passalis, and A. Tefas 16th International Conference on Artificial Intelligence Applications and Innovations (ΑΙΑΙ), 2020
03 Leveraging Deep Reinforcement Learning For Active Shooting Under Open-World Setting (Code) A. Tzimas, N. Passalis, and A. Tefas IEEE International Conference on Multimedia and Expo, 2020
04 Quadtratic Mutual Information Regularization in real-time deep CNN models M. Tzelepi and A.Tefas IEEE International Workshop on Machine Learning for Signal Processing, 2020
05 Robust Hypersphere-based Weight Imprinting for Few-shot Learning N. Passalis, A. Iosifidis, M. Gabbouj, and A. Tefas European Signal Processing Conference, 2020
06 CMRNet++: Map and Camera Agnostic Monocular Visual Localization in LiDAR Maps D. Cattaneo, D. Sorrenti, A. Valada ICRA Workshop on Emerging Learning and Algorithmic Methods for Data Association in Robotics, 2020

Coming soon!

No. Title
01 The First Press Release of the OpenDR Project