Conferences

Artificial Intelligence & Information Analysis

2023

  1. C. Georgiadis, N. Passalis and N.Nikolaidis, "ActiveFace: A Synthetic Active Perception Dataset for Face Recognition", 2023 IEEE International Workshop on Multimedia Signal Processing (MMSP 2023), 2023.

2022

  1. 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.

2021

  1. C. Symeonidis, P. Nousi, P. Tosidis, K. Tsampazis, N. Passalis, A.Tefas and N.Nikolaidis, "Efficient realistic data generation framework leveraging deep learning-based human digitization", in International Conference on Engineering Applications of Neural Networks, pp. 271-283, June, 2021.

2020

  1. M. Krestenitis, N. Passalis, A.Iosifidis, and A.Tefas, "Human Action Recognition using Recurrent Bag-of-Features Pooling", 25th International Conference on Pattern Recognition, 2020.
  2. N. Passalis and A.Tefas, "Leveraging Active Perception for Improving Embedding-based Deep Face Recognition", 22th IEEE International Workshop on Multimedia Signal Processing, 2020.
  3. T. Bozinis, N. Passalis and A.Tefas, "Improving Visual Question Answering using Active Perception on Static Images", 25th International Conference on Pattern Recognition, 2020.
  4. N. Passalis, J. Raitoharju, and A.Tefas, "Efficient Adaptive Inference leveraging Bag-of-Features-based Early Exits", 22th IEEE International Workshop on Multimedia Signal Processing, 2020.
  5. P. Pegios, N. Passalis and A.Tefas, "Improving Universal Style Transfer using Sub-style Decomposition", 11th Hellenic Conference on Artificial Intelligence, 2020.
  6. N. Passalis, M. Tzelepi and A.Tefas, "Multilayer Probabilistic Knowledge Transfer for Learning Image Representations", IEEE International Symposium on Circuits and Systems (ISCAS), 2020.
  7. N. Passalis, G. Mourgias-Alexandris, N. Pleros and A.Tefas, "Adaptive Initialization for Recurrent Photonic Networks using Sigmoidal Activations", IEEE International Symposiumon Circuits and Systems (ISCAS), 2020.
  8. G. Mourgias-Alexandris, G. Dabos, N. Passalis, A.Tefas, A. Totovic and N. Pleros, "All-optical recurrent neural network with sigmoid activation function", Optical Fiber Communication Conference, 2020.
  9. G. Mourgias-Alexandris, N. Passalis, A. Totovic, G. Dabos, A.Tefas and N. Pleros, "Neuromorphic computing through photonic integrated circuits", Smart Photonic and Optoelectronic Integrated Circuits XXII, 2020.
  10. M. Kirtas, K. Tsampazis, N. Passalis and A.Tefas, "A Webots-based Deep Reinforcement Learning Framework for Robotics", International Conference on Artificial Intelligence Applications and Innovations, 2020.
  11. A. Tzimas, N. Passalis and A.Tefas, "Leveraging Deep Reinforcement Learning for Active Shooting under Open-World Setting", IEEE International Conference on Multimedia and Expo, 2020.
  12. N. Passalis, M. Tzelepi and A.Tefas, "Heterogeneous Knowledge Distillation using Information Flow Modeling", IEEE Conference on Computer Vision and Pattern Recognition, 2020.

2019

  1. N. Passalis, A.Tefas, J. Kanniainen, and A.Iosifidis, "Deep Temporal Logistic Bag-of-Features for Forecasting High Frequency Limit Order Book Time Series", Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2019.
  2. K. Saitas-Zarkias, N. Passalis, A. Tsantekidis and A.Tefas, "Deep Reinforcement Learning for Financial Trading using Price Trailing", Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2019.
  3. N. Passalis, G. Mourgias-Alexandris, A. Tsakyridis, N. Pleros and A.Tefas, "Variance Preserving Initialization for Training Deep Neuromorphic Photonic Networks with Sinusoidal Activations", Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2019.
  4. G. Mourgias-Alexandris, A. Tsakyridis, N. Passalis, A.Tefas and N. Pleros, "Experimental Demonstration of an Optical Neuron with a Logistic Sigmoid Activation Function", Proceedings of the Optical Fiber Communication Conference (OFC), 2019.
  5. G. Amato, F. Falchi, C. Gennaro, F. Massoli, N. Passalis, A.Tefas, A. Trivilini and C. Vairo, "Face Verification and Recognition for Digital Forensics and Information Security,", International Symposium on Digital Forensic and Security (ISDFS), 2019.

2018

  1. N. Passalis and A.Tefas, "Accelerating Similarity-based Discriminant Analysis Using Class-specific Prototypes", Proceedings of the IEEE International Conference on Image Processing (ICIP), 2018.
  2. N. Passalis and A.Tefas, "Deep Reinforcement Learning for Frontal View Person Shooting Using Drones", Proceedings of the IEEE Conference on Evolving and Adaptive Intelligent Systems (EAIS), 2018.
  3. N. Passalis, A.Tefas and I.Pitas, "Efficient Camera Control Using 2D Visual Information for Unmanned Aerial Vehicle-based Cinematography", Proceedings of the IEEE International Symposium on Circuits and Systems (ISCAS), 2018.
  4. V. Lioutas, N. Passalis and A.Tefas, "Visual Question Answering Using Explicit Visual Attention", Proceedings of the International Symposium on Circuits and Systems (ISCAS), 2018.
  5. N. Passalis and A.Tefas, "Neural Network Knowledge Transfer Using Unsupervised Similarity Matching", Proceedings of the International Conference on Pattern Recognition (ICPR), 2018.
  6. N. Passalis and A.Tefas, "Learning Deep Representations with Probabilistic Knowledge Transfer", Proceedings of the European Conference on Computer Vision (ECCV), 2018.
  7. A. Papadimitriou, N. Passalis and A.Tefas, "Decoding Generic Visual Representations from Human Brain Activity Using Machine Learning", Proceedings of the European Conference on Computer Vision Workshops - Workshop on Brain Driven Computer Vision (ECCVW), 2018 (Code).
  8. D. Spathis, N. Passalis and A.Tefas, "Fast, Visual and Interactive Semi-Supervised Dimensionality Reduction", Proceedings of the European Conference on Computer Vision Workshops - Workshop on Compact and Efficient Feature Representation and Learning in Computer Vision (ECCVW), 2018.
  9. N. Passalis and A.Tefas, "Learning Discriminative Representations for Big Data Clustering Using Similarity-Based Dimensionality Reduction", IEEE Image, Video, and Multidimensional Signal Processing (IVMSP) Workshop, 2018.

2017

  1. N. Passalis and A.Tefas, "Concept Detection and Face Pose Estimation Using Lightweight Convolutional Neural Networks for Steering Drone Video Shooting", Proceedings of the European Signal Processing Conference (EUSIPCO), 2017.
  2. N. Passalis and A.Tefas, "Improving Face Pose Estimation Using Long-Term Temporal Averaging for Stochastic Optimization", Proceedings of the International Conference on Engineering Applications of Neural Networks (EANN), 2017.
  3. N. Passalis and A.Tefas, "Learning Bag-of-Features Pooling for Deep Convolutional Neural Networks", Proceedings of the International Conference on Computer Vision (ICCV), 2017.
  4. N. Passalis, A. Tsantekidis, A.Tefas, J. Kanniainen, M.Gabbouj and A.Iosifidis, "Time-series Classification Using Neural Bag-of-Features", Proceedings of the European Signal Processing Conference (EUSIPCO), 2017.
  5. A. Tsantekidis, N. Passalis, A.Tefas, J. Kanniainen, M.Gabbouj and A.Iosifidis, "Using Deep Learning to Detect Price Change Indications in Financial Markets.", Proceedings of the European Signal Processing Conference (EUSIPCO), 2017.
  6. A. Tsantekidis, N. Passalis, A.Tefas, J. Kanniainen, M.Gabbouj and A.Iosifidis, "Forecasting Stock Prices from the Limit Order Book using Convolutional Neural Networks", Proceedings of the IEEE Conference on Business Informatics (CBI), 2017.

2016

  1. N. Passalis and A.Tefas, "Spectral Clustering using Optimized Bag-of-Features", Hellenic Conference on Artificial Intelligence (SETN), 2016.
  2. N. Passalis and A.Tefas, "Spatial Bag of Features Learning for Large Scale Face Image Retrieval", INNS conference on Big Data, 2016.
  3. N. Passalis and A.Tefas, "Bag of Embedded Words Learning for Text Retrieval", International Conference on Pattern Recognition (ICPR), 2016.

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