Researchgate

Conference publications

• A. Mino, M. Popa, A. Briassouli, “The effect of spatial and temporal occlusion on word level sign language recognition”, IEEE International Conference on Image Processing, ICIP 2022, Bordeaux, France, October 16-19, 2022.

• F. Rustmeyer, J. Barrott, M. Fielding, A. Wickenden, G. Hugelius, A. Briassouli, “Tracking Rapid Permafrost thaw Through Time: Exploring the Potential of Convolutional Neural Network based Models”, 2022 IEEE International Geoscience and Remote Sensing Symposium IGARSS 2022, Kuala-Lumpur, Malaysia, July 17-22, 2022.

• A. Traverso, C. Rao, A. Briassouli, A. Dekker, D. De Ruysscher, W. van Elmpt, “Generating synthetic hypoxia images from FDG-PET using Generative Adversarial Networks (GANs)”, Radiotherapy and Oncology, ESTRO May 2022, DOI: 10.1016/S0167-8140(22)03573-3.

• E. Simon, A. Briassouli, “Vision Transformers for Brain Tumor Classification”, 9th International Conference on Bioimaging BIOIMAGING, Feb. 9-11, 2022.

• K. Singh, A. Briassouli, “Aerial to street view image translation using cascaded conditional GANs”, 17th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, Visapp 2022, Feb 6-8, 2022.

• M. Pliusnova, A. Briassouli, “Deep Learning Techniques for Detection and Diagnosis of Brain Metastases”, BNAIC-BeneLearn, Luxemburg, Nov 10-12, 2021.

• W. Aljbawi, A. Briassouli, “Automated Diagnostic System of Skin Cancer using Deep Convolutional Neural Networks on Dermoscopic Images” BNAIC-BeneLearn, Luxemburg, Nov 10-12, 2021.

• M. DeSerno, A. Briassouli, “Faster R-CNN and EfficientNet for Accurate Insect Identification in a Relabeled Yellow Sticky Traps Dataset”, IEEE International Workshop on Metrology for Agriculture and Forestry, Trento, Italy, Nov 3-5, 2021.

• L. Ohnemuhller, A. Briassouli, “Improving accuracy and efficiency in plant detection on a novel, benchmarking real-world dataset”, IEEE International Workshop on Metrology for Agriculture and Forestry, Trento, Italy, Nov 3-5, 2021.

• S. Datta, A. Traverso, S. Mehrkanoon, A. Briassouli, “Automatic segmentation of organs at risk in head and neck using 3D-UNets”, Annals of Oncology, Sept, 2021.
 
• Frederik Calsius, Mirela Popa, Alexia Briassouli, “Fine Grained Action Recognition of Skateboarding Tricks”, Waset 2021.

• R. Montulet, A. Briassouli, “Densely Annotated Photorealistic Virtual Dataset Generation for Abnormal Event Detection”, ICPR International Workshops and Challenges: FGVRID Workshop Fine-Grained Visual Recognition and re-Identification, ICPR 2021. January 10-15, 2021, Part IV, 5 – 19.

• R. Montulet, A. Briassouli.. et al, “How and Why Artworks feel”, Ars Electronica Symposium, 2020.

• P. Alvanitopoulos, …, A. Briassouli, “MindSpaces: Art-driven adaptive outdoors and indoors design,” In 9th International Conference on Digital Presentation and Preservation of Cultural and Scientific Heritage — DiPP2019, Burgas, Bulgaria, 26–28 September, 2019, pp 391-400.

• R. Montulet, A. Briassouli, “Deep Learning for Robust end-to-end Tone Mapping”, BMVC, 2019.

• A. Briassouli, “Unknown Crowd Event Detection from Phase-Based Statistics”, AVSS IEEE International Conference on Advanced Video and Signal-based Surveillance, 2018, pp 1-6.

• P. Giannakeris, V. Kaltsa, K. Avgerinakis, A. Briassouli, S. Vrochidis, I. Kompatsiaris, “Speed Estimation and Abnormality Detection from Surveillance Cameras”, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

• K. Avgerinakis, P. Giannakeris, A. Briassouli, A. Karakostas, S. Vrochidis, I. Kompatsiaris, “LBP-Flow and Hybrid Encoding for Real-Time Water and Fire Classification”, 2017 IEEE International Conference on Computer Vision Workshops (ICCVW), pp 412 – 418.

• F. Markatopoulou, A. Moumtzidou, D. Galanopoulos, T. Mironidis, V. Kaltsa, A. Ioannidou, S. Symeonidis, K. Avgerinakis, S. Andreadis, I. Gialampoukidis, S. Vrochidis, A. Briassouli, V. Mezaris, I. Kompatsiaris, I. Patras, “ITI-CERTH participation in TRECVID 2016”, Proc. TRECVID 2016 Workshop, Gaithersburg, MD, USA, Nov. 2016.

• T. G. Stavropoulos, G. Meditskos, A. Briassouli, I. Kompatsiaris, “Multimodal Sensing and Intelligent Fusion for Remote Dementia Care and Support”, 1st International Workshop on Multimedia for Personal Health and Healthcare (MMHealth) 2016, co-located with ACM Multimedia 2016, Amsterdam, The Netherlands, 16 October, 2016.

• K. Avgerinakis, K. Adam, A. Briassouli, I. Kompatsiaris, “Moving camera human activity localization and recognition with motionplanes and multiple homographies”, IEEE International Conference on Image Processing (ICIP), Quebec, Canada, Sep. 2015.

• S. Poularakis, K. Avgerinakis, A. Briassouli, I. Kompatsiaris, “Computationally efficient recognition of activities of daily living”, IEEE International Conference on Image Processing (ICIP), Quebec, Canada, Sep. 2015.

• S. Tachos, K. Avgerinakis, A. Briassouli, I. Kompatsiaris, “Appearance and Depth for Rapid Human Activity Recognition in Real Applications”, British Machine Vision Conference (BMVC), Sep. 2015, pages 38.1-38.12. BMVA Press. DOI: 10.5244/C.29.38.

• V. Kaltsa, A. Briassouli, I. Kompatsiaris and M. G. Strintzis, “Swarm – based Motion Features for Anomaly Detection in Crowds”, 2014 IEEE International Conference on Image Processing, Paris, France, Oct 27-30, 2014.

• K. Avgerinakis, A. Briassouli, I. Kompatsiaris, “Activity detection and recognition of daily living events”. 1st ACM MM Workshop on Multimedia Indexing and Information Retrieval for Healthcare (MIIRH): held in conjunction with ACM MM 2013, Barcelona, Spain, Oct 2013.

• K. Avgerinakis, A. Briassouli, I. Kompatsiaris. “Robust Monocular Recognition of Activities of Daily Living for Smart Homes”. 9th International Conference on Intelligent Environments (IE2013), Athens, Greece, July 18-19, 2013.

• K. Avgerinakis, A. Briassouli, I. Kompatsiaris, “Recognition of Activities of Daily Living”, 5th International Symposium on Monitoring & Surveillance Research (ISMSR): Healthcare-Safety-Security, Athens, Greece, Nov. 9 2012.

• K. Avgerinakis, A. Briassouli, I. Kompatsiaris, “Smoke Detection Using Temporal HOG-HOF Descriptors and Energy Colour Statistics from Video”, Firesense Workshop, 8-9 November 2012, Antalya, Turkey.

• K. Avgerinakis, A. Briassouli, I. Kompatsiaris, “Video monitoring for activities of daily living recognition”, AAL Forum, Eidhoven, The Netherlands, Sep. 24-27 2012. • V. Kaltsa, A. Briassouli, I. Kompatsiaris and M. G. Strintzis, “Timely, Robust Crowd Event Characterization”, 2012 IEEE International Conference on Image Processing, Orlando, Fla, USA, Sept 30 – Oct 3 2012.

• A. Briassouli, I. Kompatsiaris, “Spatiotemporally Localized New Event Detection in Crowds”, ARTEMIS ICCV 2011 workshop, Barcelona, November 4-14, 2011, pp 928 – 933. • A. Briassouli, I. Kompatsiaris, “Change Detection for Temporal Texture in the Fourier Domain”, ACCV 2010 – 10th Asian Conference on Computer Vision, Queenstown, New Zealand, November 2010.

• K. Avgerinakis, A. Briassouli, I. Kompatsiaris, “Real Time Motion Changes for New Event Detection and Recognition”, ACCV 2010 Workshop – 10th International Workshop on Visual Surveillance VS 2010, Queenstown, New Zealand, November 2010. • K. Avgerinakis, A. Briassouli, I. Kompatsiaris, “Real Time Illumination Invariant Motion Change Detection”, ACM Multimedia 2010 Workshop – 1st ACM ARTEMIS2010 International Workshop, Firenze, Italy, pp.75-80, October 2010.

• K. Avgerinakis, A. Briassouli, I. Kompatsiaris, “Video processing for judicial applications”, ICT4justice, Skopje, FYROM, Sept. 2009.

• S. Poularakis, A. Briassouli, Ioannis Kompatsiaris, “Full Action Instances for Motion Analysis“, 10th International Workshop on Image Analysis for Multimedia Interactive Services (WIAMIS 2009), London, UK.

• A. Briassouli, I. Kompatsiaris, “Change Detection for Video”, IWSM Second International Workshop on Sequential Methodologies, Troyes, France, June 15-17 2009.

• A. Briassouli, I. Kompatsiaris, ” Detection of Multiple Subevents in Space and Time for Video Analysis”, WCVIM International Workshop on Computer Vision and its Application to Image Media Processing, Jan. 2009.

• G. Th. Papadopoulos, A. Briassouli, V. Mezaris, I. Kompatsiaris and M. G. Strintzis, “Semantic Video Analysis Based on Estimation and Representation of Higher-Order Motion Statistics”, 3rd International Workshop on Semantic Media Adaptation and Personalization (SMAP ’08), pp. 21-26, Prague, Czech Republic, December 2008.

• A. Briassouli, I. Kompatsiaris, “Human activity localization via sequential change detection”, Proceeding of the 1st ACM international conference on Multimedia information retrieval (MIR 2008), Oct. 2008, pp. 260-267.

• A. Briassouli, I. Kompatsiaris, “Exploitation of knowledge in video recordings”, ICT Solutions for Justice, Oct. 2008.

• A. Briassouli, D. Matsiki, I. Kompatsiaris, “Wavelet domain processing for trajectory extraction”, IEEE International Conference on Image Processing (ICIP), Oct. 2008, pp. 1560-1563.

• A. Briassouli, D. Matsiki, I. Kompatsiaris, ” Continuous Wavelet Transform for Time-Varying Motion Extraction”, IEEE International Conference on Visual Information Engineering (VIE 2008), July 2008.

• A. Briassouli, I. Kompatsiaris, “Statistical processing of video for detection of events in space and time”, IEEE International Conference on Multimedia and Expo (ICME), June 2008, pp. 1293-1296.

• A. Briassouli, S. Dasiopoulou, I. Kompatsiaris, “Ontology-Based Trajectory Analysis for Semantic Event Detection”, IEEE International Conference on Semantic Computing (ICSC2007), Sept. 2007.

• A. Briassouli, V. Mezaris and I. Kompatsiaris, “Joint Motion and Color Statistical Video Processing for Motion Segmentation”, IEEE International Conference on Multimedia and Expo (ICME), July 2007.

• A. Briassouli, V. Mezaris and I. Kompatsiaris:”Video Segmentation and Semantics Extraction from The Fusion of Motion and Color Information”, International Conference on Image Processing (ICIP) Sept. 2007.

• A. Briassouli and N. Ahuja, “Spatial and Fourier Error Minimization for Motion Estimation and Segmentation”, International Conference on Pattern Recognition, ICPR 2006.

• N. Ahuja and A. Briassouli, “Joint space-frequency processing for motion analysis”, FG 2006, Proceedings of the 7th International Conference Automatic Face and Gesture Recognition, April 10-12, Southampton, UK, 2006.

• A. Briassouli and N. Ahuja, “Estimation of multiple periodic motions from video”, ECCV 2006, Proceedings of the 9th European Conference on Computer Vision, May 7 – 13, Gratz, Austria, 2006.

• A. Briassouli and N. Ahuja, “Integrated spatial and frequency domain 2D motion segmentation and estimation”, ICCV 2005, Proceedings of the 10th International Conference on Computer Vision, Vol. 1, Oct. 15-20, Beijing, China, pp. 244-250, 2005.

• A. Briassouli and N. Ahuja, “Fusion of frequency and spatial domain information for motion analysis”, ICPR 2004, Proceedings of the 17th International Conference on Pattern Recognition, Vol. 2, Aug. 23-26, Cambridge, UK, pp. 175-178, 2004.

• P. Moulin and A. Briassouli, “A stochastic QIM algorithm for robust, undetectable image watermarking”, ICIP 2004, Singapore (top 15% of submitted papers).

• A. Briassouli and P. Moulin, “Detection-theoretic analysis of warping attacks in spread-spectrum watermarking”, ICASSP 2003, Hong-Kong.

• P. Moulin, A. Briassouli and H. Malvar, “Detection-Theoretic analysis of desynchronization Attacks in Watermarking”, DSP 2002, July 1-3, Santorini, Greece.

• P. Moulin and A. Briassouli, “The Gaussian fingerprinting game”, 2002, CISS, Conference on Information Sciences and Systems, Princeton Univ., March 20 – 22, 2002.

• A. Briassouli, Y. Xirouhakis and A. Delopoulos, “Recursive 3D Reconstruction under orthography using Kalman filtering”, International Workshop on Synthetic-Natural Hybrid Coding and 3D Imaging (IWSNHC3DI’99), Santorini, Greece. 

Journal publications

• S. Sweere, I. Valtchanov, M. Lieu, E. Verdugo, A. Vojtekova, M. Santos-Lleo, F. Pacaud, A. Briassouli. D. Cámpora-Perez, “Deep Learning-Based Super-Resolution and De-Noising for XMM-Newton Images”, Monthly Notices of the Royal Astronomical Society Main Journal, accepted Aug 2022.

• V. Kaltsa, A. Briassouli, I. Kompatsiaris, M. G. Strintzis, “Multiple Hierarchical Dirichlet Processes for anomaly detection in traffic”, Computer Vision and Image Understanding 169: 28-39 (2018).

• V. Kaltsa, K. Avgerinakis, A. Briassouli, I. Kompatsiaris, M. G. Strintzis, “Dynamic texture recognition and localization in machine vision for outdoor environments. Computers in Industry 98: 1-13 (2018).

• S. Tachos, K. Avgerinakis, A. Briassouli, I. Kompatsiaris, “Mining Discriminative Descriptors for Goal-Based Activity Detection”, Computer Vision and Image Understanding (CVIU), 2017. • S. Poularakis, K. Avgerinakis, A. Briassouli, I. Kompatsiaris, “Efficient motion estimation methods for fast recognition of activities of daily living”, Signal Processing: Image Communication, 2017.

• C.F. Crispim-Junior, V. Buso, K. Avgerinakis, G. Meditskos, A. Briassouli, J. Benois-Pineau, I. Kompatsiaris, F. Bremond, “Semantic Event Fusion of Different Visual Modality Concepts for Activity Recognition”, Special Issue on Multimodal Human Pose Recovery and Behavior Analysis, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), issue 99, 2016.

• K. Avgerinakis, A. Briassouli, and I. Kompatsiaris, “Activity detection using sequential statistical boundary detection (SSBD)”, Computer Vision and Image Understanding (CVIU), pp 46-61, vol 144, March 2016.

• K. Avgerinakis, A. Briassouli, I. Kompatsiaris, “Activities of Daily Living Recognition Using Optimal Trajectories from Motion Boundaries”, Journal of Ambient Intelligence and Smart Environments, 7(6):817-834, November 2015.

• V. Kaltsa, A. Briassouli, I. Kompatsiaris, L. J. Hadjileontiadis, M. G. Strintzis, “Swarm Intelligence for Detecting Interesting Events in Crowded Environments”, IEEE Transactions on Image Processing, 24 (7), 2153-2166, July 2015.

• A. Briassouli, D. Matsiki, I. Kompatsiaris, “Continuous Wavelet Transform for Time Varying Motion Extraction”, IET Image Processing, Special Issue VIE, Vol. 4 (4), pp. 271 – 282, August 2010.

• A. Briassouli, I. Kompatsiaris, “Robust Temporal Activity Templates Using Higher Order Statistics”, IEEE Transactions on Image Processing, Vol. 18, Issue 12, pp. 2756-2768, December 2009.

• A. Briassouli, V. Tsiminaki, I. Kompatsiaris, “Human Motion Analysis via Statistical Motion Processing and Sequential Change Detection”, EURASIP Journal on Image and Video Processing, vol. 2009, Article ID 652050, 2009.

• G. Th. Papadopoulos, A. Briassouli, V. Mezaris, I. Kompatsiaris and M. G. Strintzis, “Statistical Motion Information Extraction and Representation for Semantic Video Analysis”, IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), vol. 19, no. 10, pp. 1513-1528, October 2009.

• A. Briassouli and N. Ahuja, “Integration of Frequency and Space for Multiple Motion Estimation and Shape-Independent Object Segmentation”, IEEE Transactions on Circuits, Systems and Video Technology, Volume 18, Issue 5, pp. 657-669, May 2008.

• A. Briassouli, V. Mezaris, I. Kompatsiaris, “Combination of Accumulated Motion and Color Segmentation for Human Activity Analysis”, EURASIP Journal on Image and Video Processing, Volume 8, Issue 2, January 2008.

• A. Briassouli, V. Mezaris, I. Kompatsiaris, “Color aided motion-segmentation and object tracking for video sequences semantic analysis”, International Journal of Imaging Systems and Technology (IJIST), Special Issue on Applied Color Image Processing, Volume 17, Issue 3, pp 174-189, Oct. 2007.

• A. Briassouli and N. Ahuja, “Extraction and Analysis of Multiple Periodic Motions in Video Sequences”, IEEE Trans. on Pattern Analysis and Machine Intelligence, Vol. 29, Issue 7, pp. 1244-1261, July 2007.

• A. Briassouli and M. G. Strintzis, “Locally Optimum Nonlinearities for DCT Watermark Detection”, IEEE Trans. on Image Processing, Vol. 13, Issue 12, pp. 1604-1617, Dec. 2004.

• A. Briassouli ,M. G. Strintzis, “Optimal Watermark Detection Under Quantization in the Transform Domain”, IEEE Trans. on Circuits, Systems and Video Technology, Vol. 14, No. 12, Dec. 2004, pp. 1308-1319.

• A. Briassouli, P. Tsakalides and Athanasios Stouraitis, “Hidden Messages in Heavy-Tails: DCT-Domain Watermark Detection Using Alpha-Stable Models”, IEEE Transactions of Multimedia, Vol. 7, Issue 4, pp. 700 – 715, Aug. 2005.

• D. Simitopoulos, S. A. Tsaftaris, N. V. Boulgouris, A. Briassouli, and M. G. Strintzis, “Fast Watermarking of MPEG-1/2 Streams Using Compressed-domain Perceptual Embedding and a Generalized Correlator Detector”, EURASIP JASP, pp. 1088-1106, Aug. 2004.  

Books

Editor

A. Briassouli, J. Benois-Pineau, A. Hauptmann, “Comprehensive Health Monitoring and Personalized Feedback Using Multimedia Data”, Springer, 2015 (ISBN 978-3-319-17963-6).

Author

1. D. Liparas, K. Avgerinakis, A. Briassouli, S. Symeonidis, S. Vrochidis and I. Kompatsiaris, “Semantic annotation of multimedia”, in “Bridging the Semantic Gap in Image and Video Analysis”; Publisher: Springer International Publishing AG; Series Title: Intelligent Systems Reference Library, to appear, 2017.

2. K. Avgerinakis, A. Briassouli and I. Kompatsiaris, “Activities of Daily Living Detection and Recognition: Activity detection and recognition of daily living events”, in “Comprehensive Health Monitoring and Personalized Feedback Using Multimedia Data”, A. Briassouli, J. Benois-Pineau, A. Hauptmann Eds, Springer, 2015.

3. V. Mezaris, G. Th. Papadopoulos, A. Briassouli, I. Kompatsiaris, M. G. Strintzis, “Semantic Video Analysis and Understanding”, Encyclopedia of Information Science and Technology, Second edition.

4. D. Simitopoulos, A. Briassouli and M. G. Strintzis, “Robust Watermark Detection from Quantized MPEG Video Data”, Multimedia Security Handbook, B. Fuhrt and D. Kirovski Eds., CRC Press. dd a description here.on here.