{"id":646,"date":"2021-08-26T17:57:40","date_gmt":"2021-08-26T17:57:40","guid":{"rendered":"https:\/\/alexiabriassouli.com\/?page_id=646"},"modified":"2026-06-02T19:00:12","modified_gmt":"2026-06-02T19:00:12","slug":"publications","status":"publish","type":"page","link":"https:\/\/alexiabriassouli.com\/?page_id=646","title":{"rendered":"Conference Publications"},"content":{"rendered":"\n <\/div>
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Conference publications, book chapters<\/span><\/h1>

\u2022 D. Herrera, A. Briassouli, M. van Keulen, “Hierarchical Frequency Regularization for Out-Of-Distribution Detection in Generative Models for Medical Images”, 2026 IEEE 23rd International Symposium on Biomedical Imaging (ISBI), 1-5, April 2026. 
 
\u2022 L. Debnath, A. Briassouli, M. Popa, \u201cProportional Search Space Reduction: A Novel Metric for Cross-View Image Geo-Location\u201d, BNAIC\/BeNeLearn 2023: Joint International Scientific Conferences on AI and Maxhine Learning, 2023.\n

\n\u2022\tF. Rustmeyer, J. Barrott, M. Fielding, A. Wickenden, G. Hugelius, A. Briassouli, \u201cTracking Rapid Permafrost thaw Through Time: Exploring the Potential of Convolutional Neural Network based Models\u201d, 2022 IEEE International Geoscience and Remote Sensing Symposium IGARSS 2022, Kuala-Lumpur, Malaysia, July 17-22, 2022.

\n\u2022\tE. Simon, A. Briassouli, \u201cVision Transformers for Brain Tumor Classification\u201d, 9th International Conference on Bioimaging BIOIMAGING, Feb. 9-11, 2022.\n

\n\u2022\tK. Singh, A. Briassouli, \u201cAerial to street view image translation using cascaded conditional GANs\u201d, 17th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, Visapp 2022, Feb 6-8, 2022.\n

\n\u2022\tM. Pliusnova, A. Briassouli, \u201cDeep Learning Techniques for Detection and Diagnosis of Brain Metastases\u201d, BNAIC-BeneLearn, Luxemburg, Nov 10-12, 2021.\n

\n\u2022\tW. Aljbawi, A. Briassouli, \u201cAutomated Diagnostic System of Skin Cancer using Deep Convolutional Neural Networks on Dermoscopic Images\u201d BNAIC-BeneLearn, Luxemburg, Nov 10-12, 2021.\n

\n\u2022\tM. DeSerno, A. Briassouli, \u201cFaster R-CNN and EfficientNet for Accurate Insect Identification in a Relabeled Yellow Sticky Traps Dataset\u201d, IEEE International Workshop on Metrology for Agriculture and Forestry, Trento, Italy, Nov 3-5, 2021.\n

\n\u2022\tL. Ohnemuhller, A. Briassouli, \u201cImproving accuracy and efficiency in plant detection on a novel, benchmarking real-world dataset\u201d, IEEE International Workshop on Metrology for Agriculture and Forestry, Trento, Italy, Nov 3-5, 2021.\n

\u2022 S. Datta, A. Traverso, S. Mehrkanoon, A. Briassouli, \u201cAutomatic segmentation of organs at risk in head and neck using 3D-UNets\u201d, Annals of Oncology, Sept, 2021.
 
\n\u2022\tFrederik Calsius, Mirela Popa, Alexia Briassouli, \u201cFine Grained Action Recognition of Skateboarding Tricks\u201d, Waset 2021.\n

\n\u2022\tR. Montulet, A. Briassouli, \u201cDensely Annotated Photorealistic Virtual Dataset Generation for Abnormal Event Detection\u201d, ICPR International Workshops and Challenges: FGVRID Workshop Fine-Grained Visual Recognition and re-Identification, ICPR 2021. January 10-15, 2021, Part IV, 5 – 19.

\n\u2022\tR. Montulet, A. Briassouli.. et al, \u201cHow and Why Artworks feel\u201d, Ars Electronica Symposium, 2020.\n

\n\u2022\tP. Alvanitopoulos, \u2026, A. Briassouli, \u201cMindSpaces: Art-driven adaptive outdoors and indoors design,\u201d In 9th International Conference on Digital Presentation and Preservation of Cultural and Scientific Heritage \u2014 DiPP2019, Burgas, Bulgaria, 26\u201328 September, 2019, pp 391-400.\n

\n\u2022\tR. Montulet, A. Briassouli, \u201cDeep Learning for Robust end-to-end Tone Mapping\u201d, BMVC, 2019.\n

\n\u2022\tA. Briassouli, \u201cUnknown Crowd Event Detection from Phase-Based Statistics\u201d, AVSS IEEE International Conference on Advanced Video and Signal-based Surveillance, 2018, pp 1-6.\n

\n\u2022\tP. Giannakeris, V. Kaltsa, K. Avgerinakis, A. Briassouli, S. Vrochidis, I. Kompatsiaris, \u201cSpeed Estimation and Abnormality Detection from Surveillance Cameras\u201d, 2018 IEEE\/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).\n

\n\u2022\tK. Avgerinakis, P. Giannakeris, A. Briassouli, A. Karakostas, S. Vrochidis, I. Kompatsiaris, \u201cLBP-Flow and Hybrid Encoding for Real-Time Water and Fire Classification\u201d, 2017 IEEE International Conference on Computer Vision Workshops (ICCVW), pp 412 \u2013 418.\n

\n\u2022\tF. 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, \u201cITI-CERTH participation in TRECVID 2016\u201d, Proc. TRECVID 2016 Workshop, Gaithersburg, MD, USA, Nov. 2016.\n

\n\u2022\tT. 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.\n

\n\u2022\tK. 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.\n

\n\u2022\tS. 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.\n

\n\u2022\tS. 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.

\u2022\tV. 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.\n

\n\u2022\tK. Avgerinakis, A. Briassouli, I. Kompatsiaris, \u201cActivity detection and recognition of daily living events\u201d. 1st ACM MM Workshop on Multimedia Indexing and Information Retrieval for Healthcare (MIIRH): held in conjunction with ACM MM 2013, Barcelona, Spain, Oct 2013.\n

\n\u2022\tK. Avgerinakis, A. Briassouli, I. Kompatsiaris. \u201cRobust Monocular Recognition of Activities of Daily Living for Smart Homes\u201d. 9th International Conference on Intelligent Environments (IE2013), Athens, Greece, July 18-19, 2013.\n

\n\u2022\tK. 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.\n

\n\u2022\tK. 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.\n

\n\u2022\tK. Avgerinakis, A. Briassouli, I. Kompatsiaris, “Video monitoring for activities of daily living recognition”, AAL Forum, Eidhoven, The Netherlands, Sep. 24-27 2012.\n\n\u2022\tV. 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.\n

\n\u2022\tA. Briassouli, I. Kompatsiaris, “Spatiotemporally Localized New Event Detection in Crowds”, ARTEMIS ICCV 2011 workshop, Barcelona, November 4-14, 2011, pp 928 – 933.\n\n\u2022\tA. Briassouli, I. Kompatsiaris, \u201cChange Detection for Temporal Texture in the Fourier Domain”, ACCV 2010 – 10th Asian Conference on Computer Vision, Queenstown, New Zealand, November 2010.

\u2022\tK. 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.\n\n\u2022\tK. Avgerinakis, A. Briassouli, I. Kompatsiaris, \u201cReal Time Illumination Invariant Motion Change Detection”, ACM Multimedia 2010 Workshop – 1st ACM ARTEMIS2010 International Workshop, Firenze, Italy, pp.75-80, October 2010.

\u2022\tK. Avgerinakis, A. Briassouli, I. Kompatsiaris, \u201cVideo processing for judicial applications”, ICT4justice, Skopje, FYROM, Sept. 2009.\n

\n\u2022\tS. Poularakis, A. Briassouli, Ioannis Kompatsiaris, “Full Action Instances for Motion Analysis\u201c, 10th International Workshop on Image Analysis for Multimedia Interactive Services (WIAMIS 2009), London, UK.\n

\n\u2022\tA. Briassouli, I. Kompatsiaris, \u201cChange Detection for Video”, IWSM Second International Workshop on Sequential Methodologies, Troyes, France, June 15-17 2009.\n

\n\u2022\tA. Briassouli, I. Kompatsiaris, ” Detection of Multiple Subevents in Space and Time for Video Analysis\u201d, WCVIM International Workshop on Computer Vision and its Application to Image Media Processing, Jan. 2009.\n

\n\u2022\tG. 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.\n

\n\u2022\tA. 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.\n

\n\u2022\tA. Briassouli, I. Kompatsiaris, \u201cExploitation of knowledge in video recordings\u201d, ICT Solutions for Justice, Oct. 2008.\n

\n\u2022\tA. Briassouli, D. Matsiki, I. Kompatsiaris, “Wavelet domain processing for trajectory extraction\u201d, IEEE International Conference on Image Processing (ICIP), Oct. 2008, pp. 1560-1563.\n

\n\u2022\tA. Briassouli, D. Matsiki, I. Kompatsiaris, ” Continuous Wavelet Transform for Time-Varying Motion Extraction\u201d, IEEE International Conference on Visual Information Engineering (VIE 2008), July 2008.\n

\n\u2022\tA. Briassouli, I. Kompatsiaris, \u201cStatistical processing of video for detection of events in space and time\u201d, IEEE International Conference on Multimedia and Expo (ICME), June 2008, pp. 1293-1296.\n

\n\u2022\tA. Briassouli, S. Dasiopoulou, I. Kompatsiaris, “Ontology-Based Trajectory Analysis for Semantic Event Detection”, IEEE International Conference on Semantic Computing (ICSC2007), Sept. 2007.\n

\n\u2022\tA. Briassouli, V. Mezaris and I. Kompatsiaris, \u201cJoint Motion and Color Statistical Video Processing for Motion Segmentation\u201d, IEEE International Conference on Multimedia and Expo (ICME), July 2007.\n

\n\u2022\tA. Briassouli, V. Mezaris and I. Kompatsiaris:”Video Segmentation and Semantics Extraction from The Fusion of Motion and Color Information\u201d, International Conference on Image Processing (ICIP) Sept. 2007.\n

\n\u2022\tA. Briassouli and N. Ahuja, \u201cSpatial and Fourier Error Minimization for Motion Estimation and Segmentation”, International Conference on Pattern Recognition, ICPR 2006.\n

\n\u2022\tN. Ahuja and A. Briassouli, \u201cJoint 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.\n

\n\u2022\tA. Briassouli and N. Ahuja, \u201cEstimation of multiple periodic motions from video”, ECCV 2006, Proceedings of the 9th European Conference on Computer Vision, May 7 – 13, Gratz, Austria, 2006.\n

\n\u2022\tA. Briassouli and N. Ahuja, \u201cIntegrated 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.\n

\n\u2022\tA. Briassouli and N. Ahuja, \u201cFusion 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.\n

\n\u2022\tP. Moulin and A. Briassouli, \u201cA stochastic QIM algorithm for robust, undetectable image watermarking”, ICIP 2004, Singapore (top 15% of submitted papers).\n

\n\u2022\tA. Briassouli and P. Moulin, \u201cDetection-theoretic analysis of warping attacks in spread-spectrum watermarking”, ICASSP 2003, Hong-Kong.\n

\n\u2022\tP. Moulin, A. Briassouli and H. Malvar, \u201cDetection-Theoretic analysis of desynchronization Attacks in Watermarking”, DSP 2002, July 1-3, Santorini, Greece.\n

\n\u2022\tP. Moulin and A. Briassouli, \u201cThe Gaussian fingerprinting game”, 2002, CISS, Conference on Information Sciences and Systems, Princeton Univ., March 20 – 22, 2002.\n

\n\u2022\tA. Briassouli, Y. Xirouhakis and A. Delopoulos, \u201cRecursive 3D Reconstruction under orthography using Kalman filtering”, International Workshop on Synthetic-Natural Hybrid Coding and 3D Imaging (IWSNHC3DI’99), Santorini, Greece. 
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