Conferences

Artificial Intelligence & Information Analysis

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.
  2. 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.
  3. 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.

2021

  1. V. Mygdalis, A.Tefas and I.Pitas, "Introducing K-Anonymity Principles to Adversarial Attacks for Privacy Protection in Image Classification Problems", Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing (MLSP), 2021.
  2. 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.
  3. C. Symeonidis, E. Kakaletsis, I. Mademlis, N.Nikolaidis, A.Tefas and I.Pitas, "Vision-based UAV Safe Landing exploiting Lightweight Deep Neural Networks", Proceedings of the International Conference on Image and Graphics Processing (ICIGP), ACM, 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. E. Patsiouras, A.Tefas and I.Pitas, "Few-shot Image Recognition for UAV Sports Cinematography", Computer Vision and Pattern Recognition Workshops, pp.965-969, 2020.
  3. F. Patrona, P. Nousi, I. Mademlis, A.Tefas and I.Pitas, "Visual Object Detection For Autonomous UAV Cinematography", Proceedings of the Northern Lights Deep Learning Workshop, 2020.
  4. N. Passalis and A.Tefas, "Leveraging Active Perception for Improving Embedding-based Deep Face Recognition", 22th IEEE International Workshop on Multimedia Signal Processing, 2020.
  5. T. Bozinis, N. Passalis and A.Tefas, "Improving Visual Question Answering using Active Perception on Static Images", 25th International Conference on Pattern Recognition, 2020.
  6. 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.
  7. P. Pegios, N. Passalis and A.Tefas, "Improving Universal Style Transfer using Sub-style Decomposition", 11th Hellenic Conference on Artificial Intelligence, 2020.
  8. 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.
  9. C. Nasioutzikis, M. Tzelepi and A.Tefas, "Deep Hashing Regularization Towards Hamming Space Retrieval", 11th Hellenic Conference on Artificial Intelligence, 2020.
  10. N. Passalis, M. Tzelepi and A.Tefas, "Multilayer Probabilistic Knowledge Transfer for Learning Image Representations", IEEE International Symposium on Circuits and Systems (ISCAS), 2020.
  11. 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.
  12. 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.
  13. 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.
  14. 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.
  15. 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.
  16. 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. I. Mademlis, A.Tefas and I.Pitas, "Greedy Salient Dictionary Learning for Activity Video Summarization", Proceedings of the International Conference on MultiMedia Modeling (MMM), 2019.
  2. 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.
  3. P. Nousi, A.Tefas and I.Pitas, "Deep Convolutional Feature Histograms for Visual Object Tracking", Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2019.
  4. F. Patrona, I. Mademlis, A.Tefas and I.Pitas, "Computational UAV Cinematography for Intelligent Shooting Based on Semantic Visual Analysis", Proceedings of the IEEE International Conference on Image Processing (ICIP), September 22-25, 2019.
  5. 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.
  6. 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.
  7. 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.
  8. 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.
  9. 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.
  10. 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.
  11. 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.
  12. I. Karakostas, V. Mygdalis, A.Tefas and I.Pitas, "On Detecting and Handling Target Occlusions in Correlation-filter-based 2D Tracking", Proceedings of the 27th European Signal Processing Conference (EUSIPCO), September 2-6, 2019.
  13. P. Nousi, D. Triantafyllidou, A.Tefas and I.Pitas, "Joint Lightweight Object Tracking and Detection for Unmanned Vehicles", Proceedings of the IEEE International Conference on Image Processing (ICIP), September 22-25, 2019.
  14. P. Nousi, I. Mademlis, I. Karakostas, A.Tefas and I.Pitas, "Embedded UAV Real-time Visual Object Detection and Tracking", Proceedings of the IEEE International Conference on Real-time Computing and Robotics 2019 (RCAR2019), 2019.
  15. I. Mademlis, A. Torres-Gonzalez, J. Capitan, R. Cunha, B. Guerreiro, A. Messina, F. Negro, C. Le Barz, T. Goncalves, A.Tefas, N.Nikolaidis and I.Pitas, "A Multiple-UAV Software Architecture for Autonomous Media Production", Proceedings of the 27th European Signal Processing Conference (EUSIPCO), Satellite Workshop: Signal Processing, Computer Vision and Deep Learning for Autonomous Systems, 2019.
  16. R. Cunha, M. Malaca, V. Sampaio, B. Guerreiro, P. Nousi, I. Mademlis, A.Tefas and I.Pitas, "Gimbal Control for Vision-based Target Tracking", Proceedings of the 27th European Signal Processing Conference (EUSIPCO), Satellite Workshop: Signal Processing, Computer Vision and Deep Learning for Autonomous Systems, 2019.
  17. E. Kakaletsis, A.Tefas, N.Nikolaidis and I.Pitas, "Incremental Label Propagation on Facial Images", Proc. IEEE Int. Workshop Machine Learning for Signal Processing (MLSP), October 13-16, 2019.

2018

  1. I. Mademlis, A.Tefas and I.Pitas, "Regularized SVD-based Video Frame Saliency for Activity Video Summarization", Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2018.
  2. P. Nousi, E. Patsiouras, A.Tefas and I.Pitas, "Convolutional Neural Networks for Visual Information Analysis With Limited Computing Resources", Proceedings of the IEEE International Conference on Image Processing (ICIP), October 7-10, 2018.
  3. V. Mygdalis, A.Tefas and I.Pitas, "Learning Multi-graph Regularization for SVM Classification", Proceedings of the IEEE International Conference on Image Processing (ICIP), October 7-10, 2018.
  4. G. Symeonidis and A.Tefas, "Recurrent Attention for Deep Neural Object Detection", Proceedings of the Hellenic Conference on Artificial Intelligence (SETN), 2018.
  5. 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.
  6. 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.
  7. 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.
  8. 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.
  9. N. Passalis and A.Tefas, "Neural Network Knowledge Transfer Using Unsupervised Similarity Matching", Proceedings of the International Conference on Pattern Recognition (ICPR), 2018.
  10. E. Kakaletsis, O.Zoidi, I. Tsingalis, A.Tefas, N.Nikolaidis and I.Pitas, "Label Propagation on Facial Images Using Similarity and Dissimilarity Labelling Constraints", Proceedings of the IEEE International Conference on Image Processing (ICIP), 2018.
  11. 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.
  12. M. Tzelepi and A.Tefas, "Fully Unsupervised Convolutional Learning for Fast Image Retrieval", Proceedings of the ACM 10th Hellenic Conference on Artificial Intelligence, 2018.
  13. N. Passalis and A.Tefas, "Learning Deep Representations with Probabilistic Knowledge Transfer", Proceedings of the European Conference on Computer Vision (ECCV), 2018.
  14. K. Tsampazis and A.Tefas, "Deep Sparse Autoencoders for Football Match and Bet Prediction", Proceedings of the ACM 10th Hellenic Conference on Artificial Intelligence (SETN), 2018.
  15. I. Mademlis, A.Tefas and I.Pitas, "Greedy Salient Dictionary Learning with Optimal Point Reconstruction for Activity Video Summarization", Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing (MLSP), 2018.
  16. 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).
  17. 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.
  18. 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. D. Triantafyllidou, P. Nousi and A.Tefas, "Lightweight Two-Stream Convolutional Face Detection", Proceedings of the European Signal Processing Conference (EUSIPCO), August, 2017.
  2. 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.
  3. 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.
  4. 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.
  5. P. Nousi and A.Tefas, "Discriminatively Trained Autoencoders for Fast and Accurate Face Recognition", Proceedings of the International Conference on Engineering Applications of Neural Networks (EANN), 2017.
  6. 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.
  7. 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.
  8. 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.
  9. 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.
  10. I. Mademlis, A.Tefas and I.Pitas, "Summarization of Human Activity Videos Using a Salient Dictionary", Proceedings of the International Conference on Image Processing (ICIP), 2017.
  11. I. Mademlis, A.Tefas, N.Nikolaidis and I.Pitas, "Summarization of Human Activity Videos Via Low-Rank Approximation", Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2017.

2016

  1. V. Mygdalis, A.Iosifidis, A.Tefas and I.Pitas, "One Class Classification applied in facial image analysis", IEEE International Conference on Image Processing (ICIP), 2016.
  2. V. Mygdalis, A.Iosifidis, A.Tefas and I.Pitas, "Kernel Subclass Support Vector Description for Face and Human Action Recognition", International Workshop on Sensing, Processing and Learning for Intelligent Machines (SPLINE), 2016.
  3. T. Theodoridis, A.Tefas and I.Pitas, "Multiview semantic temporal video segmentation", IEEE International Conference on Image Processing (ICIP), 2016.
  4. E. Kakaletsis, O.Zoidi, A.Tefas, N.Nikolaidis and I.Pitas, "Fast Label Propagation on Facial Images Using a Pruned Similarity Matrix", IEEE Digital Media Industry & Academic Forum (DMIAF), 2016.
  5. V.Gavriilidis, A.Tefas, C.Kotropoulos and N.Nikolaidis, "Enhanced Similarities for a Music Recommender System", Proc. Digital Media Industry and Academic Forum, pp. 113-116, July 2-4, 2016.
  6. V. Mygdalis, A.Iosifidis, A.Tefas and I.Pitas, "Laplacian One Class Extreme Learning Machines for Human Action Recognition", IEEE Workshop on Multimedia Signal Processing (MMSP), 2016.
  7. I. Mademlis, A.Tefas, N.Nikolaidis and I.Pitas, "Movie Shot Selection Preserving Narrative Properties", IEEE Workshop on Multimedia Signal Processing (MMSP), 2016.
  8. V. Mygdalis, A.Tefas and I.Pitas, "Exploiting local and global geometric data relationships in Support Vector Data Description", International Conference on Pattern Recognition (ICPR), 2016.
  9. M. Tzelepi and A.Tefas, "Relevance Feedback in Deep Convolutional Neural Networks for Content Based Image Retrieval", Hellenic Conference on Artificial Intelligence (SETN), 2016.
  10. N. Passalis and A.Tefas, "Spectral Clustering using Optimized Bag-of-Features", Hellenic Conference on Artificial Intelligence (SETN), 2016.
  11. E. Fotiadou, I.Kapsouras, N.Nikolaidis and A.Tefas, "A Bag of Words approach for recognition of Greek folk dances", Hellenic Conference on Artificial Intelligence (SETN), 2016.
  12. N.Tsapanos, A.Tefas and N.Nikolaidis, "Efficient MapReduce Kernel k-Means for Big Data Clustering", Hellenic Conference on Artificial Intelligence (SETN), 2016.
  13. A.Iosifidis, A.Tefas, I.Pitas and M.Gabbouj, "A review of approximate methods for kernel-based Big Media Data Analysis", European Signal Processing Conference (EUSIPCO), 2016.
  14. E. Fotiadou, N.Nikolaidis and A.Tefas, "A comparative study of representations for folk dances recognition in video", European Signal Processing Conference (EUSIPCO), 2016.
  15. N. Passalis and A.Tefas, "Spatial Bag of Features Learning for Large Scale Face Image Retrieval", INNS conference on Big Data, 2016.
  16. D. Triantafyllidou and A.Tefas, "A Fast Deep Convolutional Neural Network for face detection in Big Visual Data", INNS conference on Big Data, 2016.
  17. I. Mademlis, A.Tefas, N.Nikolaidis and I.Pitas, "Compact Video Description and Representation for Automated Summarization of Human Activities", INNS conference on Big Data, 2016.
  18. N. Passalis and A.Tefas, "Bag of Embedded Words Learning for Text Retrieval", International Conference on Pattern Recognition (ICPR), 2016.
  19. D. Triantafyllidou and A.Tefas, "Face detection based on Deep Convolutional Neural Networks exploiting incremental facial part learning", International Conference on Pattern Recognition (ICPR), 2016.
  20. M. Tzelepi and A.Tefas, "Exploiting supervised learning for finetuning deep CNNs in Content Based Image Retrieval", International Conference on Pattern Recognition (ICPR), 2016.

2015

  1. A.Iosifidis, A.Tefas and I.Pitas, "Nearest Class Vector Classification for Large-Scale Learning Problems", IEEE International Conference on Big Data Science and Engineering (BigDataSE), 2015.
  2. V. Mygdalis, A.Iosifidis, A.Tefas and I.Pitas, "Large-scale classification by an Approximate Least Squares One-Class Support Vector Machine ensemble", IEEE International Conference on Big Data Science and Engineering (BigDataSE), 2015.
  3. A.Iosifidis, A.Tefas and I.Pitas, "Class-specific nonlinear subspace learning based on optimized class representation", European Signal Processing Conference (EUSIPCO), 2015.
  4. A.Iosifidis, A.Tefas and I.Pitas, "Regularized Extreme Learning Machine for large-scale media content analysis", International Neural Network Society (INNS) Conference on Big Data, 2015.
  5. A.Iosifidis, A.Tefas and I.Pitas, "Merging Linear Discriminant Analysis with Bag of Words model for Human Action Recognition", IEEE International Conference on Image Processing (ICIP), 2015.
  6. A.Iosifidis, A.Tefas and I.Pitas, "Large-scale nonlinear facial image classification based on Approximate Kernel Extreme Learning Machine", IEEE International Conference on Image Processing (ICIP), 2015.
  7. A.Iosifidis, A.Tefas and I.Pitas, "Enhancing ELM-based facial image classification by exploiting multiple facial views", International Conference on Computational Science (ICCS), 2015.
  8. K. Papachristou, A.Tefas and I.Pitas, "Facial Image Analysis based on Two-Dimensional Linear Discriminant Analysis Exploiting Symmetry", IEEE International Conference on Image Processing (ICIP), 2015.
  9. K. Papachristou, A.Tefas and I.Pitas, "Exploiting Symmetry in Two-Dimensional Clustering-Based Discriminant Analysis for Face Recognition", European Signal Processing Conference (EUSIPCO), 2015.
  10. N.Tsapanos, A.Tefas, N.Nikolaidis and I.Pitas, "Kernel Matrix Trimming for Improved Kernel k-Means Clustering", IEEE International Conference on Image Processing (ICIP), 2015.
  11. N.Tsapanos, A.Tefas, N.Nikolaidis and I.Pitas, "Distributed, MapReduce-based Nearest Neighbor and e-ball Kernel k-Means", IEEE Symposium Series on Computational Intelligence (SSCI), 2015.
  12. N.Tsapanos, A.Tefas, N.Nikolaidis, A.Iosifidis and I.Pitas, "Fast Kernel Matrix Computation for Big Data Clustering", International Conference on Computational Science (ICCS), 2015.
  13. , O.Zoidi, A.Tefas and I.Pitas, "De-Identifying Facial Images Using Projections on Hyperspheres", Automatic Face and Gesture Recognition (FG), 11th IEEE International Conference and Workshops, pp. 1-6, 4-8 May, 2015.
  14. F. Patrona, A.Iosifidis, A.Tefas, N.Nikolaidis and I.Pitas, "Visual voice activity detection based on spatiotemporal information and bag of words", IEEE International Conference on Image Processing (ICIP), pp. 2334-2338, 2015.
  15. O.Zoidi, N.Nikolaidis, A.Tefas and I.Pitas, "Multi-modal label propagation based on a higher order similarity matrix", IEEE International Workshop on Machine Learning for Signal Processing (MLSP), p. 1-6, September 17-20, 2015.
  16. A.Maronidis, A.Tefas and I.Pitas, "Subclass Marginal Fisher Analysis", IEEE Symposium Series on Computational Intelligence (SSCI), pp. 1391-1398, December 8-10, 2015.
  17. A.Maronidis, A.Tefas and I.Pitas, "Graph Embedding Exploiting Subclasses", IEEE Symposium Series on Computational Intelligence (SSCI), pp. 1452-1459, December 8-10, 2015.
  18. I.Kapsouras, A.Tefas, N.Nikolaidis and I.Pitas, "Multimodal Speaker Diarization Utilizing Face Clustering Information", Proc. Int. Conf. on Image and Graphics: (ICIG), pp. 547-554, August 13-16, 2015.
  19. J.Blat, A.Evans, J.Agenjo, K.Hansung, E.Imre, A.Hilton, A.Tefas, N.Nikolaidis, I.Pitas, L.Polok, P.Smrz and P.Zemcik, "IMPART: Big media data processing and analysis for film production", IEEE International Conference on Multimedia Expo Workshops (ICMEW), pp. 1-5, June 29 - July 3, 2015.
  20. C.Chrysouli and A.Tefas, "Evolution of Graphs for Unsupervised Learning", Studies in Computational Intelligence, pp 21-31, November 2015, Revised selected paper from IJCCI2014, 2015.
  21. A.Iosifidis, A.Tefas and I.Pitas, "Single-Hidden Layer Feedforward Neual Network Training Using Class Geometric Information", Studies in Computational Intelligence, pp 351-364, November 2015, Revised selected paper from IJCCI2014, 2015.
  22. V. Mygdalis, A.Iosifidis, A.Tefas and I.Pitas, "Exploiting Subclass Information in One-class Support Vector Machine for Video Summarization", IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 19-24 April, 2015.
  23. A.Iosifidis, A.Tefas and I.Pitas, "Enhancing Class Discrimination in Kernel Discriminant Analysis", IEEE International Conference on Acoustics,Speech and Signal Processing (ICASSP), 19-24 April, 2015.

2014

  1. V.Gavriilidis and A.Tefas, "Random Walk Kernel Applications to Classification Using Support Vector Machines", International Conference on Pattern Recognition (ICPR), 2014.
  2. N.Arvanitopoulos, D.Bouzas and A.Tefas, "Laplacian Support Vector Analysis for Subspace Discriminative Learning", International Conference on Pattern Recognition (ICPR), 2014.
  3. V.Gavriilidis and A.Tefas, "Activity Recognition for Traditional Dances Using Dimensionality Reduction", Conference on Artificial Intelligence (SETN): Methods and Applications, 2014.
  4. N. Mpountouropoulos, A.Tefas, N.Nikolaidis and I.Pitas, "Visual Information Analysis for Big-Data Using Multi-core Technologies", First Euro-China Conference on Intelligent Data Analysis and Applications, pp. 309-316, 2014.
  5. C.Chrysouli and A.Tefas, "Spectral Clustering Using Evolving Similarity Graphs", International Joint Conference on Computational Intelligence (IJCCI): International Conference on Evolutionary Computation Theory and Applications (ECTA), pp. 21-31, October 22-24, 2014.
  6. N.Tsapanos, A.Tefas, N.Nikolaidis and I.Pitas, "Large graph clustering using DCT-based graph clustering", IEEE Symposium on Computational Intelligence in Big Data (CIBD), pp. 1-4, December 9-12, 2014.
  7. C.Chrysouli, V.Gavriilidis and A.Tefas, "Graph-based Kernel Representation of Videos for Traditional Dance Recognition", International Joint Conference on Computational Intelligence (IJCCI): International Conference on Neural Computation Theory and Applications (NCTA), October 22-24, 2014.
  8. A.Iosifidis, A.Tefas and I.Pitas, "Human Action Recognition based on Bag of Features and Multi-view Neural Networks", IEEE International Conference on Image Processing (ICIP), 2014.
  9. A.Iosifidis, A.Tefas and I.Pitas, "Semi-supervised classification of human actions based on Neural Networks", IEEE International Conference on Pattern Recognition (ICPR), 2014.
  10. A.Iosifidis, A.Tefas and I.Pitas, "Minimum Variance Extreme Learning Machine for Human Action Recognition", IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2014 (Code).
  11. A.Iosifidis, A.Tefas and I.Pitas, "Human Action Recognition in Stereoscopic Videos based on Bag of Features and Disparity Pyramids", European Signal Processing Conference (EUSIPCO), 2014.
  12. A.Iosifidis, A.Tefas and I.Pitas, "Exploiting Local Class Information in Extreme Learning Machine", International Joint Conference on Computational Intelligence (IJCCI): International Conference on Neural Computation Theory and Applications (NCTA), 2014 (Code).
  13. V. Mygdalis, A.Iosifidis, A.Tefas and I.Pitas, "Video summarization based on subclass Support Vector Data Description", IEEE Symposium Series on Computational Intelligence (SSCI): Computational Intelligence for Engineering Solutions, 2014.
  14. A.Iosifidis, A.Tefas and I.Pitas, "Computational Intelligence Approaches for Digital Media Analysis and Description", Euro-China Conference on Intelligent Data Analysis and Applications (ECC), 2014.
  15. M. Ivasic-Kos, A.Iosifidis, A.Tefas and I.Pitas, "Person De-identification in Activity Videos", IEEE International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO), 2014.
  16. A.Iosifidis, A.Tefas and I.Pitas, "Multi-view Regularized Extreme Learning Machine for Human Action Recognition", Conference on Artificial Intelligence (SETN): Methods and Applications, 2014.
  17. O.Zoidi, A.Tefas, N.Nikolaidis and I.Pitas, "Iterative Label Propagation on facial images", European Signal Processing Conference (EUSIPCO), 2014.
  18. K. Papachristou, A.Tefas and I.Pitas, "Subspace Learning with Enriched Databases Using Symmetry", the First Euro-China Conference on Intelligent Data Analysis and Applications (ECC), 2014.
  19. K. Papachristou, A.Tefas, N.Nikolaidis and I.Pitas, "Stereoscopic Video Shot Clustering into Semantic Concepts based on Visual and Disparity Information", IEEE International Conference on Image Processing (ICIP), 2014.
  20. K. Papachristou, A.Tefas, N.Nikolaidis and I.Pitas, "Stereoscopic Video Shot Classification based on Weighted Linear Discriminant Analysis", the IEEE International Workshop on Machine Learning for Signal Processing (MLSP 2014), 2014.
  21. I. Mademlis, A.Iosifidis, A.Tefas, N.Nikolaidis and I.Pitas, "Stereoscopic Video Description for Human Action Recognition", IEEE Symposium Series on Computational Intelligence (SSCI): Computational Intelligence for Multimedia, Signal and Vision Processing, 2014.
  22. N. Kourous, A.Iosifidis, A.Tefas, N.Nikolaidis and I.Pitas, "Video Characterization based on Activity Clustering", International Conference on Electrical and Computer Engineering (ICECE), 2014.
  23. V. Mygdalis, A.Iosifidis, A.Tefas and I.Pitas, "Supervised video summarization by content-based video segment selection” (short)", European Conference on Visual Media Production (CVMP), 2014.
  24. G.Orphanidis, A.Tefas, N.Nikolaidis and I.Pitas, "Facial Image Clustering in Stereo Videos Using Local Binary Patterns and Double Spectral Analysis", IEEE Symposium Series on Computational Intelligence (SSCI), 2014.
  25. G.Orphanidis, N.Nikolaidis, A.Tefas and I.Pitas, "Stereo facial image clustering using double spectral analysis", International Conference on Electrical and Computer Engineering (ICECE), 2014.
  26. I. Tsingalis, A.Tefas, N.Nikolaidis and I.Pitas, "Shot type characterization in 2D and 3D video content", IEEE International Workshop on Multimedia Signal Processing (MMSP), 2014.
  27. P. Chriskos, O.Zoidi, A.Tefas and I.Pitas, "De-identifying facial images using singular value decomposition", IEEE International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO), 2014.

2013

  1. O.Zoidi, A.Tefas and I.Pitas, "Exploiting the SVM constraints in NMF with Apllication in Eating and Drinking Activity recognition", IEEE International Conference on Image Processing (ICIP 2013), September 15-18, 2013.
  2. O.Zoidi, A.Tefas and I.Pitas, "Exploiting Discriminant and SVM Constraints in NMF", 21st European Signal Processing Conference (EUSIPCO 2013), September 9-13, 2013.
  3. A.Iosifidis, A.Tefas and I.Pitas, "Active Classification for Human Action Recognition", IEEE International Conference on Image Processing (ICIP), 2013.
  4. A.Iosifidis, A.Tefas and I.Pitas, "Dynamic Action Classification based on Iterative Data Selection and Feedforward Neural Networks", European Signal Processing Conference (EUSIPCO), 2013.
  5. A.Iosifidis, A.Tefas and I.Pitas, "Person Identification from Actions based on Artificial Neural Networks", IEEE Symposium Series on Computational Intelligence (SSCI): Computational Intelligence in Biometrics and Identity Management, 2013.
  6. A.Iosifidis, A.Tefas and I.Pitas, "View-independent Human Action Recognition based on Multi-view Action Images and Discriminant Learning", IEEE Image, Video and Multidimensional Signal Processing (IVMSP): 3D Image/Video Technologies and Applications, 2013.
  7. A.Iosifidis, A.Tefas and I.Pitas, "Person Identification from Actions based on Dynemes and Discriminant Learning", IEEE International Workshop on Biometrics and Forensics (IWBF), 2013.
  8. A.Iosifidis, A.Tefas and I.Pitas, "Representative Class Vector Clustering based Discriminant Analysis", IEEE International Conference on Intelligent Information Hiding and Multimedia Signal Processing (IIHMSP), 2013.
  9. A.Iosifidis, A.Tefas and I.Pitas, "Multi-view human action recognition: a review", IEEE International Conference on Intelligent Information Hiding and Multimedia Signal Processing (IIHMSP), 2013.
  10. A.Tefas, A.Iosifidis and I.Pitas, "Neural Networks for Digital Media Analysis and Description", Engineering Applications of Neural Networks (EANN), 2013.
  11. I.Kapsouras, S.Karanikolos, N.Nikolaidis and A.Tefas, "Folk dance recognition using a bag of words approach and ISA/STIP features", BCI '13 Proceedings of the 6th Balkan Conference in Informatics, pp 71-74, 2013.
  12. I.Kapsouras, S.Karanikolos, N.Nikolaidis and A.Tefas, "Feature Comparison and Feature Fusion for Traditional Dances Recognition", Engineering Applications of Neural Networks, Communications in Computer and Information Science, vol 383, pp172-181, 2013.
  13. M. Oikonomou and A.Tefas, "Direct Multi-label Linear Discriminant Analysis", Engineering Applications of Neural Networks (EANN), September 13-16, 2013.
  14. S.Nikitidis, A.Tefas and I.Pitas, "Maximum Margin Discriminant Projections for Facial Expression Recognition", 21st European Signal Processing Conference (EUSIPCO 2013), September 9-13, 2013.

2012

  1. O.Zoidi, A.Tefas and I.Pitas, "Visual Object Tracking Based on the Object's Salient Features with Application in Automatic Nutrition Assistance", IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 25-30 March, 2012.
  2. A.Iosifidis, E.Marami, A.Tefas and I.Pitas, "Eating and drinking activity recognition based on discriminant analysis of fuzzy distances and activity volumes", IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP2012), March, 2012.
  3. D.Galanopoulos, Ch.Athanasiadis and A.Tefas, "Evolutionary Optimization of a Neural Network Controller for Car Racing Simulation", 7th Hellenic Conference on Artificial Intelligence, 28-31 May, 2012.
  4. V.Gavriilidis and A.Tefas, "Exploiting Quadratic Mutual Information for Discriminant analysis", 7th Hellenic Conference on Artificial Intelligence, 28-31 May, 2012.
  5. A.Iosifidis, A.Tefas and I.Pitas, "Neural representation and learning for multi-view human action recognition", 2012 IEEE International Joint Conference on Neural Networks (IJCNN), ΙΕΕΕ World Congress on Computational Intelligence, June 15-20, 2012.
  6. A.Iosifidis, A.Tefas and I.Pitas, "Multi-view Human Action Recognition Under Occlusion Based on Fuzzy Distances and Neural Networks", Proc. 2012 European Signal Processing Conference, August 27-31, 2012.
  7. A.Iosifidis, A.Tefas and I.Pitas, "Discriminant Action Representation for View-Invariant Person Identification", Proc. IEEE 2012 International Conference on Image Processing, September 30 - October 3, 2012.
  8. O.Zoidi, A.Tefas and I.Pitas, "Visual Object Tracking via Gabor-based Salient Features Extraction", 20th European Signal Processing Conference (EUSIPCO), August 27-31, 2012.
  9. C.Athanasiadis, D.Galanopoulos and A.Tefas, "Progressive Neural Network Training For The Open Racing Car Simulator", IEEE Conference on Computational Intelligence and Games, September 11-14, 2012.
  10. G.Orphanidis and A.Tefas, "Exploiting Subclass Information in Support Vector Machines", 21st International Conference on Pattern Recognition, November 11-15, 2012.
  11. N.Pitelis and A.Tefas, "Discriminant Subspace Learning Based on Support Vectors Machines", 8th International Conference on Machine Learning and Data Mining, July 13-20, 2012.
  12. N.Vretos, A.Tefas and I.Pitas, "Facial Expression Recognition with Robust Covariance Estimation and SupporVector Machines", IEEE International Workshop on Machine Learning for Signal Processing, September 24-27, 2012.
  13. G.Arvanitidis and A.Tefas, "Exploiting graph embedding in support vector machines", IEEE International Workshop on Machine Learning for Signal Processing, September September 24-27, 2012.

2011

  1. O.Zoidi, A.Tefas and I.Pitas, "Object Tracking Based on Local Steering Kernels for Drinking Activity Recognition", Information Technology Interfaces (ITI), June, 2011.
  2. E.Marami, A.Tefas and I.Pitas, "Nutrition Assistance based on Skin Color Segmentation and Support Vector Machines", International Conference on Man-Machine Interactions (ICMMI2011), October, 2011.
  3. A.Iosifidis, A.Tefas, N.Nikolaidis and I.Pitas, "Learning Human Identity Using View-Invariant Multi-view Movement Representation", Biometrics and ID Management workshop, Springer LNCS, March, 2011.
  4. D.Bouzas, N.Arvanitopoulos and A.Tefas, "Optimizing Linear Discriminant Error Correcting Output Codes Using Particle Swarm Optimization", 21st Int. Conf. on Artificial Neural Networks, June, 2011.
  5. A.Tefas and I.Pitas, "Human Centered Interfaces for Assisted Living", International Conference on Man-Machine Interactions (ICMMI 2011), October, 2011.
  6. M.Kyperountas, A.Tefas and I.Pitas, "Entropy-Based Iterative Face Classification", Biometrics and ID Management workshop, Springer LNCS, March, 2011.
  7. S.Nikitidis, A.Tefas and I.Pitas, "Recent Advances in Discriminant Non-negative Matrix Factorization", Proc. First Asian Conference on Pattern Recognition (ACPR2011), November 28-30, 2011.
  8. S.Nikitidis, A.Tefas, N.Nikolaidis and I.Pitas, "Facial Expression Recognition Using Clustering Discriminant Non-negative Matrix Factorization", IEEE International Conference in Image Processing (ICIP 2011), September 11-14, 2011.
  9. S.Nikitidis, A.Tefas and I.Pitas, "Using Subclasses in Discriminant Non-negative Subspace Learning for Facial Expression Recognition", Proc. 19th European Signal Processing Conference (EUSIPCO 2011),, August 29 – September 2, 2011.
  10. A.Iosifidis, A.Tefas and I.Pitas, "Person specific activity recognition using fuzzy learning and discriminant analysis", European Signal Processing Conference (EUSIPCO2011), August, 2011.

2010

  1. E.Marami and A.Tefas, "Face Detection using Particle Swarm Optimization and Support Vector Machines", 6th Hellenic Conference on Artificial Intelligence, May 4 - 7, 2010.
  2. N.Arvanitopoulos, D.Bouzas and A.Tefas, "Mutual Information Measures for Subclass Error-Correcting Output Codes Classification", 6th Hellenic Conference on Artificial Intelligence, May 4 - 7, 2010.
  3. D.Bouzas, N.Arvanitopoulos and A.Tefas, "Optimizing subclass discriminant Error Correcting Output Codes using particle swarm optimization", IEEE International Joint Conference on Neural Networks (IJCNN), July 18-23, 2010.
  4. E.Marami and A.Tefas, "Using Particle Swarm Optimization for Scaling and Rotation invariant Face Detection", 2010 IEEE congress on Evolutionary Computation, July 18 - 23, 2010.
  5. N.Arvanitopoulos, D.Bouzas and A.Tefas, "Subclass Error Correcting Output Codes using Fisher's Linear Discriminant Ratio", 20th International Conference on Pattern Recognition, September 15 - 18, 2010.
  6. D.Bolis, A.Maronidis, A.Tefas and I.Pitas, "Improving the Robustness of Subspace Learning Techniques for Facial Expression Recognition", 20th International Conference on Artificial Neural Networks, September 15-18, 2010.
  7. A.Maronidis, A.Tefas and I.Pitas, "Frontal view recognition using Spectral Clustering and Subspace Learning methods", 20th International Conference on Artificial Neural Networks, September 15-18, 2010.
  8. S.Petrakis and A.Tefas, "Neural Networks Training for Weapon Selection in First-Person Shooter Games", 20th International Conference on Artificial Neural Networks, September 15-18, 2010.
  9. N.Tsapanos, A.Tefas and I.Pitas, "Dynamic Shape Learning and Forgetting", 20th International Conference on Artificial Neural Networks, pp. 333-338, September, 2010.

2009

  1. N.Gkalelis, A.Tefas and I.Pitas, "Fusion of movement specific human identification experts", Proc Joint COST 2101 & COST 2102 International Conference on Biometric ID Management and Multimodal Communication, September, 2009.
  2. N.Gkalelis, A.Tefas and I.Pitas, "Human identification from human movements", IEEE International Conference on Image Processing (ICIP 2009), November, 2009.
  3. M.Kyperountas, A.Tefas and I.Pitas, "Pairwise Facial Expression Classification", MMSP 2009, 1-4, OCTOBER, 2009.
  4. G.Goudelis, A.Tefas and I.Pitas, "Using Mutual Information to Indicate Facial Poses in Video Sequences", ACM International Conference on Image and Video Retrieval, July 8 - 10, 2009.

2008

  1. M.Kyperountas, A.Tefas and I.Pitas, "Face recognition via adaptive discriminant clustering", Image Processing, 2008. ICIP 2008. 15th IEEE International Conference on, 2744-2747, October, 2008.
  2. S.Zafeiriou, A.Tefas and I.Pitas, "Gender Determination Using a Support Vector Machine Variant", Proc. 16th European Signal Processing Conference (EUSIPCO 2008), August, 2008.
  3. G.Goudelis, S.Zafeiriou, A.Tefas and I.Pitas, "Motivating class-specific nonlinear projections for face verification", 2008 IEEE International Conference on Image Processing, October 12 - 15, 2008.
  4. N.Tsapanos, A.Tefas and I.Pitas, "An Online Self-Balancing Binary Search Tree for Hierarchical Shape Matching", 3rd International Conference on Computer Vision Theory and Applications (VISAPP 2008), January, 2008.
  5. N.Gkalelis, A.Tefas and I.Pitas, "Human movement recognition using fuzzy clustering and discriminant analysis", Proc. 16th European Signal Processing Conference (EUSIPCO 2008), August, 2008.
  6. N.Gkalelis, A.Tefas and I.Pitas, "Sparse human movement representation and recognition", Proc. IEEE 2008 International Workshop on Multimedia Signal Processing (MMSP 2008), October, 2008.

2007

  1. G.Goudelis, S.Zafeiriou, A.Tefas and I.Pitas, "A Novel Kernel Discriminant Analysis For Face Verification", Proc.of 2007 IEEE International Conference on Image Processing, September, 2007.
  2. M.Kyperountas, A.Tefas and I.Pitas, "Face verification using locally linear discriminant models", Proc. of Int. Conf. on Image Processing (ICIP 2007), 16-19 Sep., 2007.
  3. S.Zafeiriou, A.Tefas and I.Pitas, "Advances in Elastic Graph Matching for Frontal Face Verification", 2007 IEEE Symposium on Computational Intelligence in Image and Signal Processing, pp. 319 - 324, April 1 - 5, 2007.
  4. S.Zafeiriou, A.Tefas and I.Pitas, "Discriminant Graph Structures for Face Verification", IEEE International Conference on Acoustics Speddch and Signal Processing 2007 (ICASSP'07), vol. 1, pp. 497 -500, April 15 - 20, 2007.
  5. S.Zafeiriou, A.Tefas and I.Pitas, "A new class of decision surfaces based on the minimization of within class variance", Proc. Of IEEE International Workshop on Machine Learning for Signal Processing (MLSP 2007), pp. 441 - 446, August 27 - 29, 2007.

2005

  1. M.Kyperountas, A.Tefas and I.Pitas, "Methods for improving discriminant analysis for face authentication", Proc. of IEEE Int. Conf. on Acoustics, Speech and Signal Processing, ICASSP 2005, 18-23 March, 2005.
  2. S.Zafeiriou, A.Tefas and I.Pitas, "Elastic Graph Matching versus Linear Subspace Methods for Frontal Face Verification", Proc. of IEEE Int. Workshop on Nonlinear Signal and Image Processing (NSIP 2005), 18-20 May, 2005.
  3. S.Zafeiriou, A.Tefas and I.Pitas, "Exploiting Discriminant Information in Elastic Graph Matching", Proc. of IEEE Int. Conf. on Image Processing (ICIP 2005), 11-14 September, 2005.
  4. S.Zafeiriou, A.Tefas and I.Pitas, "Linear Discriminant Feature Selection Techniques in Elastic Graph Matching", Proc. of EURASIP European Signal Processing Conf. (EUSIPCO 2005), 4-8 September, 2005.
  5. S.Zafeiriou, A.Tefas, I.Buciu and I.Pitas, "Class-Specific Discriminant Non-negative Matrix Factorization for Frontal Face Verification", Proc. of Int. Conf. Advances in Pattern Recognition (ICAPR 2005), 22-25 August, 2005.
  6. S.Zafeiriou, A.Tefas and I.Pitas, "Discriminant NMFfaces for Frontal Face Verification", Proc. of IEEE Int. Workshop on Machine Learning for Signal Processing (MLSP 2005), 28-30 September, 2005.
  7. A.Tefas, A.Giannoula, N.Nikolaidis and I.Pitas, "Enhanced transform-domain correlation-based audio watermarking", Proc. of IEEE Int. Conf. on Acoustics, Speech and Signal Processing, ICASSP 2005, 18-23 March, 2005.

2004

  1. A.Markoulidis, A.Tefas, C.Kotropoulos and I.Pitas, "Turning a frontal face verification technique to a system prototype", CD-ROM Proc. of 2nd COST275 Workshop Biometrics on the Internet, 2004.
  2. A.Tefas and N.Nikolaidis, "Chaotic watermark sequences for correlation-based schemes", Proc. of 12th European Signal Processing Conf. EUSIPCO2004), pp. 1891-1894, 6-10 September, 2004.
  3. S.Zafeiriou, A.Tefas and I.Pitas, "A Blind Robust Watermarking Scheme for Copyright Protection of 3D Mesh Models", Proc. of IEEE Int. Conf. on Image Processing (ICIP 2004), 24-27 October, 2004.

2003

  1. A.Giannoula, A.Tefas, N.Nikolaidis and I.Pitas, "Improving the Detection Reliability of Correlation-based Watermarking Techniques", Proc. of IEEE Int. Conf. on Multimedia and Expo 2003(ICME2003), Baltimore, 6-9 July, 2003.
  2. A.Kalivas, A.Tefas and I.Pitas, "Watermarking of 3D models using Principal Component Analysis", Proc. of 2003 IEEE Int. Conf. on Acoustics, Speech and Signal Processing (ICASSP 2003) and in Proc. of 2003 IEEE Int. Conf. on Multimedia and Expo (ICME2003), 6-9 July, 2003.
  3. C.Laftsidis, A.Tefas, N.Nikolaidis and I.Pitas, "Robust Multibit Audio Watermarking in the Temporal Domain", Proc. of 2003 IEEE Int. Symposium on Circuits and Systems, May 25-28, 2003.
  4. S.Zafeiriou, A.Kalivas, A.Tefas, N.Nikolaidis and I.Pitas, "Watermarking of 3D mesh models robust to basic geometric transformations", Proc. of 9th Panhellenic Conf. on Informatics (PCI `03), 21-23 November, 2003.

2002

  1. G.Louizis, A.Tefas and I.Pitas, "Copyright Protection of 3D Images using Watermarks of Specific Spatial Structure", Proc. of IEEE Int. Conf. on Multimedia and Expo 2002 (ICME2002), vol. 2, pp. 557-560, 26-29 August, 2002.
  2. N.Nikolaidis, V.Solachidis, A.Tefas, V.Arguriou and I.Pitas, "Benchmarking of Still Image Watermarking Methods: Principles and State of the Art", Proc. of Electronic Imaging & the Visual Arts 2002 (EVA2002), 18-22 March, 2002.
  3. N.Nikolaidis, V.Solachidis, A.Tefas and I.Pitas, "Watermark Detection: Benchmarking Perspectives", Proc. of IEEE Int. Conf. on Multimedia and Expo 2002(ICME2002), Special Session on Benchmarking of Data Hiding Technologies, vol. 2, pp. 493-496, 26-29 August, 2002.
  4. A.Tefas, G.Louizis and I.Pitas, "3D Image Watermarking robust to Geometric Distortions", Proc. of IEEE Int. Conf. on Acoustics Speech and Signal Processing 2002 (ICASSP2002), vol. 4, 13-17 May, 2002.

2001

  1. A.Tefas, G.Louizis, I.Pitas, N.Nikolaidis and K.Lyroudia, "Robust spatial 3D image watermarking", Proc. of IEEE Int. Symposium on Signal Processing and Information Technology (ISSPIT 2001), pp. 229-232, 2001.
  2. A.Nikolaidis, S.Tsekeridou, A.Tefas and V.Solachidis, "A survey on watermarking application scenarios and related attacks", Proc. of IEEE Int. Conf. on Image Processing(ICIP 2001), 7-10 October, 2001.
  3. V.Solachidis, S.Tsekeridou, A.Tefas and I.Pitas, "A simple benchmarking system for performance evaluation of still image watermarking methods", Proc. of Int. Symposium on Telecommunications (IST'01), pp. 193-196, 1-3 September, 2001.
  4. V.Solachidis, A.Tefas, N.Nikolaidis, S.Tsekeridou, A.Nikolaidis and I.Pitas, "A benchmarking protocol for watermarking methods", Proc. of 2001 IEEE Int. Conf. on Image Processing(ICIP'01), pp. 1023-1026, 7-10 October, 2001.
  5. A.Tefas, A.Nikolaidis, N.Nikolaidis, V.Solachidis, S.Tsekeridou and I.Pitas, "Statistical Analysis of Markov Chaotic Sequences for Watermarking applications", CD-ROM Proc. of 2001 IEEE Int. Symposium on Circuits and Systems(ISCAS 2001), vol. 2, 6-9 May, 2001.
  6. A.Tefas and I.Pitas, "Robust Spatial Image Watermarking using Progressive Detection", CD-ROM Proc. of 2001 IEEE Int. Conf. on Acoustics,Speech and Signal Processing (ICASSP 2001), vol. 3, pp. 1973 -1976, 7-11 May, 2001.
  7. A.Tefas, A.Nikolaidis, N.Nikolaidis, V.Solachidis, S.Tsekeridou and I.Pitas, "Performance Analysis of Watermarking Schemes based on Skew Tent Chaotic Sequences", CD-ROM Proc. of NSIP'01, Baltimore, 3-6 June, 2001.
  8. A.Tefas, A.Nikolaidis, N.Nikolaidis, V.Solachidis, S.Tsekeridou and I.Pitas, "Markov Chaotic Sequences for Correlation based Watermarking schemes", Proc. of Int. Conf. on Nonlinear Dynamics(NLD'01), 27-30 August, 2001 (Also available online).
  9. S.Tsekeridou, V.Solachidis, N.Nikolaidis, A.Nikolaidis, A.Tefas and I.Pitas, "Bernoulli Shift Generated Chaotic Watermarks: Theoretic Investigation", Proc. of IEEE Int. Conf. on Acoustics, Speech and Signal Processing (ICASSP2001), vol.3, 7-11 May, 2001.
  10. S.Tsekeridou, V.Solachidis, N.Nikolaidis, A.Nikolaidis, A.Tefas and I.Pitas, "Theoretic Performance Analysis of a Watermarking System based on Bernoulli Chaotic Sequences", Proc. of Communications and Multimedia Security Conf. (CMS 2001), 21-22 May, 2001.
  11. S.Tsekeridou, V.Solachidis, N.Nikolaidis, A.Nikolaidis, A.Tefas and I.Pitas, "Theoretic Investigation of the Use of Watermark Signals derived from Bernoulli Chaotic Sequences", Proc. of the 12th Scandinavian Conf. on Image Analysis 2001 (SCIA2001), 11-14 June, 2001.

2000

  1. J.Matas, M.Hamouz, K.Jonsson, J.Kittler, Y.Li, C.Kotropoulos, A.Tefas, I.Pitas, T.Tan, H.Yan, F.Smeraldi, J.Bigun, N.Capdevielle, W.Gerstner, S.Ben-Yacoub, Y.Abdeljaoued and E.Mayoraz, "Comparison of face verification results on the XM2VTS database", Proc. of 2000 Int. Conf. on Pattern Recognition, vol. 4, pp. 858-863, 2000.
  2. N.Nikolaidis, S.Tsekeridou, A.Nikolaidis, A.Tefas, V.Solachidis and I.Pitas, "Applications of chaotic signal processing techniques to multimedia watermarking", Proc. of the IEEE Workshop on Nonlinear Dynamics in Electronic Systems, pp. 1-7, 18-20 May, 2000.
  3. A.Tefas and I.Pitas, "Image Authentication based on Chaotic Mixing", Proc. of IEEE Int. Symposium on Circuits and Systems (ISCAS'2000), 28-31 May, 2000.
  4. A.Tefas, C.Kotropoulos and I.Pitas, "Face authentication by using elastic graph matching and Support Vector Machines", Proc. 2000 IEEE Int. Conf. Acoustics, Speech, and Signal Processing, vol. IV, pp. 2409-2412, 5-9 June, 2000.
  5. A.Tefas and I.Pitas, "Image Authentication and Tamper Proofing using Mathematical Morphology", CD-ROM Proc. of European Signal Processing Conf. (EUSIPCO'2000), 5-8 September, 2000.
  6. A.Tefas, C.Kotropoulos and I.Pitas, "Using Support Vector Machines for Face authentication based on elastic graph matching", CD-ROM Proc. of IEEE Int. Conf. on Image Processing (ICIP'2000), vol. 1, pp. 29-32, 10-13 September, 2000.
  7. A.Tefas and I.Pitas, "Multi-bit Image Watermarking Robust to Geometric Distortions", CD-ROM Proc. of IEEE Int. Conf. on Image Processing (ICIP'2000), vol. 3, pp. 710 -713, 10-13 September, 2000.

1999

  1. C.Kotropoulos, A.Tefas and I.Pitas, "Morphological elastic graph matching applied to frontal face authentication under optimal and real conditions", Proc. of IEEE Int. Conf. on Multimedia Computing and Systems (ICMCS'99), pp. 934-938, 7-11 June, 1999.
  2. C.Kotropoulos, A.Tefas, I.Pitas, C.Fernandez and F.Fernandez, "Performance assessment of morphological dynamic link architecture under optimal and real operating conditions", Proc. of IEEE-EURASIP Workshop on Nonlinear Signal and Image Processing (NSIP'99), pp.355-359, 20-23 June, 1999.
  3. G.Richard, Y.Menguy, I.Guis, N.Suaudeau, J.Boudy, P.Lockwood, C.Fernandez, F.Fernandez, C.Kotropoulos, A.Tefas, I.Pitas, R.Heimgartner, P.Ryser, C.Beumier, S.Pigeon, G.Matas, J.Kittler, J.Bigun, Y.Abdeljaoued, E.Meurville, L.Besacier, G.Maitre, J.Luettin, S.Ben-Yacoub and B.Ruiz, "Multi Modal Verification for Teleservices and Security Applications(M2VTS)", Proc. of IEEE Int. Conf. on Multimedia Computing and Systems 1999 (ICMCS\\\'99), pp. 1061-1063, 7-11 June, 1999.
  4. A.Tefas, Y.Menguy, C.Kotropoulos, G.Richard, I.Pitas and P.Lockwood, "Compensating for variable recording conditions in frontal face authentication algorithms", Proc. of IEEE Int. Conf. on Acoustics, Speech and Signal Processing (ICASSP'99), vol. 6, pp. 3561-3564, 15-19 March, 1999.
  5. A.Tefas, C.Kotropoulos and I.Pitas, "Enhancing the performance of elastic graph matching for frontal face authentication by using support vector machines", Proc. of Int. Workshop on support vector machine theory and applications (ACCAI '99), 5-16 July, 1999.

1998

  1. C.Kotropoulos, A.Tefas and I.Pitas, "Face Authentication using Variants of Elastic Graph Matching based on Mathematical Morphology that incorporate Local Discriminant Coefficients", Proc. of IEEE Int. Conf. on Acoustics, Speech and Signal Processing (ICASSP'98), pp. 3729-3732, 12-15 May, 1998.
  2. C.Kotropoulos, A.Tefas and I.Pitas, "Frontal Face Authentication using Variants of Dynamic Link Matching based on Mathematical Morphology", Proc. of IEEE Int. Conf. on Image Processing (ICIP'98), vol. 1, pp. 122-126, 4-7 October, 1998.
  3. A.Tefas, C.Kotropoulos and I.Pitas, "Face Verification based on Morphological Shape Decomposition", Proc. of IEEE Third Int. Conf. on Automatic Face and Gesture Recognition (FG'98), pp. 36-41, 14-16 April, 1998.
  4. A.Tefas, C.Kotropoulos and I.Pitas, "Variants of Dynamic Link Architecture based on Mathematical Morphology for Frontal Face Authentication", Proc. of IEEE Conf. on Computer Vision and Pattern Recognition (CVPR'98), vol. 1, pp. 814-819, 23-25 June, 1998.

1997

  1. C.Kotropoulos, A.Tefas and I.Pitas, "Face Authentication based on Morphological Shape Decomposition", Proc. of IEE Conf. on Image Processing and its Applications (IPA'97), pp. 794-798, July, 1997.

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