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Journal publications

[J1]
C. Nikou, J. P. Armspach, F. Heitz, I. J. Namer, and D. Grucker. MR/MR and MR/SPECT registration of brain images by fast stochastic optimization of robust voxel similarity measures. NeuroImage, Vol. 8, No, 1, pp. 30-43, 1998. [pdf]
[J2]
C. Nikou, F. Heitz, and J. P. Armspach. Robust voxel similarity metrics for the registration of dissimilar single and multimodal images. Pattern Recognition, Vol. 32, No 8, pp. 1351-1368, 1999. [pdf]
[J3]
C. Nikou, F. Heitz, J. P. Armspach, I. J. Namer. Mesures de similarité robustes pour le recalage d’images médicales volumiques multimodales. Traitement du Signal, Vol. 16, No 3, pp. 255-272, 2000. [pdf]
[J4]
C. Nikou, G. Bueno, F. Heitz, J. P. Armspach. A joint physics-based statistical deformable model for multimodal brain image analysis. IEEE Transactions on Medical Imaging, Vol. 20, No 10, pp. 1026-1037, 2001. [pdf]
[J5]
C. Nikou, F. Heitz, A. Nehlig, I. J. Namer and J. P. Armspach. A robust statistics-based global energy function for the alignment of serially acquired autoradiographic sections. Journal of Neuroscience Methods, Vol. 124, No 1, pp. 93-102, 2003. [pdf]
[J6]
S. Krinidis, C. Nikou and I. Pitas. A global energy function for the alignment of serially acquired slices. IEEE Transactions on Information Technology in Biomedicine, Vol. 7, No. 2, pp. 108-113, 2003. [pdf]
[J7]
S. Krinidis, C. Nikou and I. Pitas. Reconstruction of serially acquired slices using physics-based modeling. IEEE Transactions on Information Technology in Biomedicine, 7(4):394-403, 2003. [pdf]
[J8]
E. Loutas, C. Nikou and I. Pitas. Probabilistic multiple face detection and tracking using entropy measures. IEEE Transactions on Circuits and Systems for Video Technology, Vol. 14, No 1, pp. 128-135, 2004. [pdf]
[J9]
E. Loutas, I. Pitas and C. Nikou. Entropy-based metrics for the analysis of partial and total occlusion in video object tracking, IEE Proceedings of Vision, Image and Signal Processing, Vol. 151, No. 6, pp. 487-497, 2004. [pdf]
[J10]
Z. Cernekova, I. Pitas and C. Nikou. Information theory-based shot cut/fade detection and video summarization. IEEE Transactions on Circuits and Systems for Video Technology, Vol. 16, No.1, pp. 82-91, 2006. [pdf]
[J11]
C. Nikou, N. Galatsanos and A. Likas. A class-adaptive spatially variant finite mixture model for image segmentation. IEEE Transactions on Image Processing, Vol. 16, No 4, pp. 1121-1130, 2007. [pdf]
[J12]
K. Blekas, C. Nikou, N. Galatsanos and N. Tsekos. A regression mixture model with spatial constraints for clustering spatiotemporal data. International Journal on Artificial Intelligence Tools. 2008. Vol. 17, No 5, pp. 1023-1041, 2008. [pdf]
[J13]
A. Kampouraki, G. Manis and C. Nikou. Heartbeat time series classification with support vector machines. IEEE Transactions on Information Technology in Biomedicine. Vol. 13, No 4, pp. 512-518, 2009. [pdf]
[J14]
D. Gerogiannis, C. Nikou and A. Likas. The mixtures of Student’s t-distributions as a robust framework for rigid registration. Image and Vision Computing, Vol. 27, No 9, pp. 1285-1294, 2009.  [pdf] [original publication] [MATLAB code]
[J15]
G. Sfikas, C. Nikou, N. Galatsanos and C. Heinrich. Spatially varying mixtures incorporating line processes for image segmentation. Journal of Mathematical Imaging and Vision, Vol. 36, No 2, pp. 91-110, 2010. [pdf] [original publication] [MATLAB code]
[J16]
C. Nikou, A. Likas and N. Galatsanos. A Bayesian framework for image segmentation with spatially varying mixtures. IEEE Transactions on Image Processing, Vol. 19, No 9, pp.2278-2289, 2010. [pdf]
[J17]
M. Plissiti, C. Nikou and A. Charchanti. Automated detection of cell nuclei in Pap smear images using morphological reconstruction and clustering. IEEE Transactions on Information Technology in Biomedicine, Vol. 15, No 2, pp. 233-241, 2011. [pdf]
[J18]
V. Karavasilis, C. Nikou and A. Likas. Visual tracking using the earth mover’s distance between Gaussian mixtures and Kalman filtering. Image and Vision Computing, Vol. 29, No 5, pp. 295-305, 2011. [pdf] [original publication]
[J19]
M. Plissiti, C. Nikou and A. Charchanti. Combining shape, texture and intensity features for cell nuclei extraction in Pap smear images. Pattern Recognition Letters, Vol. 32, No 6, pp. 838-853, 2011. [pdf] [original publication]
[J20]
G. Sfikas, C. Heinrich, J. Zallat, C. Nikou and N. Galatsanos. Recovery of polarimetric Stokes images by spatial mixture models. Journal of the Optical Society of America-A, Vol. 28, No 3, pp. 465-474, 2011. [pdf] [original publication]
[J21]
T. Athanasiadis, I. Fudos, C. Nikou and V. Stamati. Feature-based 3D morphing based on geometrically constrained spherical parameterization. Computer Aided Geometric Design, Vol. 29, No 1, pp. 2-17, 2012. [pdf] [original publication]
[J22]
D. Gerogiannis, C. Nikou and A. Likas. Registering sets of points using Bayesian regression. Neurocomputing, Vol. 89, pp.122-133, 2012. [pdf] [original publication]
[J23]
V. Karavasilis, K. Blekas and C. Nikou. A novel framework for motion segmentation and tracking by clustering incomplete trajectories. Computer Vision and Image Understanding, Vol. 116, No 11, pp. 1135-1148, 2012. [pdf] [original publication]
[J24]
M. Plissiti and C. Nikou. Overlapping cell nuclei segmentation using a spatially adaptive active physical model. IEEE Transactions on Image Processing, Vol. 21, No 11, pp. 4568-4580, 2012. [pdf]
[J25]
M. Vrigkas, C. Nikou and L. P. Kondi. Accurate image registration for MAP image super-resolution. Signal Processing: Image Communication, Vol. 28, No 5, pp.494-508, 2013. [pdf] [original publication]
[J26]
G. Rigas, C. Nikou, Y. Goletsis and D. I. Fotiadis. Hierarchical similarity transformations between Gaussian mixtures. IEEE Transactions on Neural Networks and Learning Systems, Vol. 24, No 11, pp. 1824-1835, 2013. [pdf]
[J27]
M. Vrigkas, V. Karavasilis, C. Nikou and I. Kakadiaris. Matching mixtures of curves for human action recognition. Computer Vision and Image Understanding, Vol. 119, pp. 27-40, 2014. [pdf] [original publication]
[J28]
D. Gerogiannis, C. Nikou and A. Likas. Modeling sets of unordered points using highly eccentric ellipses. EURASIP Journal on Advances in Signal Processing, 2014:11, 2014. [pdf]
[J29]
G. Chantas, T. Gkamas and C. Nikou. Variational-Bayes optical flow. Journal of Mathematical Imaging and Vision, Vol. 50, No 3, pp. 199-213, 2014, DOI:10.1007/s10851-014-0494-3. [pdf] [original publication]
[J30]
M. Vrigkas, C. Nikou and L. P. Kondi. Robust MAP image super-resolution. Journal of Electronic Imaging 23(4), 043016 (2014). doi:10.1117/1.JEI.23.4.043016. [pdf] [original publication]
[J31]
 D. Riana, M. E. Plissiti, C. Nikou, D. H. Widyantoro and T. L. R. Mengko. Inflammatory cell extraction and nuclei detection in Pap smear images. International Journal of e-Health and Medical Communications, Vol.6, No 2, pp. 27-43, 2015. doi:10.4018/IJEHMC.2015040103. [pdf]
[J32]
 D. Gerogiannis, C. Nikou and A. Likas. Elimination of outliers from 2D point sets using the Helmholtz principle. IEEE Signal Processing Letters, Vol. 22, No 10, pp. 1638-1642, 2015. doi: 10.1109/LSP.2015.2420714. [pdf] [Supplementary material]
[J33]
 V. Karavasilis, C. Nikou and A. Likas. Visual tracking using spatially weighted likelihood of Gaussian mixtures. Computer Vision and Image Understanding, Vol. 140, pp. 43-57, 2015. doi: 10.1016/j.cviu.2015.07.003. [pdf] [original publication]
[J34]
 M. Vrigkas, C. Nikou and I. Kakadiaris. A Review of human activity recognition methods. Frontiers in Robotics and Artificial Intelligence, Vol.2, No 28, 2015. doi: 10.3389/frobt.2015.00028. [pdf]
[J35]
 M. Vrigkas, C. Nikou and I. Kakadiaris. Identifying human behaviors using synchronized audio-visual cues. IEEE Transactions on Affective Computing, Vol. 8, No 1, pp. 54-66, 2017. doi: 10.1109/TAFFC.2015.2507168. [pdf]
[J36]
 A. Giotis, G. Sfikas, B. Gatos and C. Nikou. A survey of document image word spotting techniques. Pattern Recognition, Vol. 68, pp. 310-332, 2017.[pdf] [original publication] doi:10.1016/j.patcog.2017.02.023.
[J37]
 V. Karavasilis, C. Nikou and A. Likas. Real time visual tracking using a spatially weighted von Mises mixture model. Pattern Recognition Letters, Vol. 90, pp. 50-57, 2017. doi: 10.1016/j.patrec.2017.03.013. [pdf] [original publication]
[J38]
 N. Sarafianos, Th. Giannakopoulos, C. Nikou and I. A. Kakadiaris. Curriculum learning of visual attribute clusters for multi-task classification. Pattern Recognition, Vol. 80, pp. 94-108, 2018. doi:/10.1016/j.patcog.2018.02.028 [pdf] [original publication]
[J39]
 K. Papadimitriou, G. Sfikas and C. Nikou. Tomographic image reconstruction with a spatially varying Gamma mixture prior. Journal of Mathematical Imaging and Vision, Vol. 60, pp. 1355-1365, 2018. doi:10.1007/s10851-018-0817-x [original publication]
[J40]
 G. Tsigkas, G. Sfikas, A. Pasialis, A. Vlachopoulos and C. Nikou. Markerless detection of ancient rock carvings in the wild. Pattern Recognition Letters. Vol. 135, pp. 337-345, 2020.[original publication]
[J41]
 M. Vrigkas, E. Kazakos, C. Nikou, and I. Kakadiaris. Human activity recognition using robust adaptive privileged probabilistic learning. Pattern Analysis and Applications, Vol. 24, pp. 915-932, 2021. [original publication]
[J42] M. Vrigkas, E.-A. Kourfalidou, M. E. Plissiti, C. Nikou. FaceMask: A new image dataset for the automated identification of people wearing masks in the wild. Sensors, 2022, 22, 896. [original publication].
[J43] I. Panagos, A. Giotis, S. Sofianopoulos and C. Nikou. A new benchmark for consumer visual tracking and apparent demographic estimation from RGB and thermal images. Sensors, 2023, 23(23), 9510. [original publication]

 

Conference publications

[C1]
 C. Nikou, F. Heitz, J. P. Armspach, and D. Grucker. Recalage d'images médicales multimodales par une approche robuste. In Proceedings of the 16th GRETSI conference on signal and image processing, (2):1375-1378, 15-19 September 1997, Grenoble, France. [pdf]
[C2]
C. Nikou, F. Heitz, J. P. Armspach, and I. J. Namer. Single and multimodal subvoxel registration of dissimilar medical images using robust similarity measures. SPIE Medical Imaging’98, San Diego, California, USA, 21-26 Feb. 1998, Vol. 3338, pp 167-178, 1998. [pdf]
[C3]
C. Nikou, F. Heitz, and J. P. Armspach. Robust registration of dissimilar single and multimodal images. Lecture Notes in Computer Science, Vol. 2, pp 51-65, Springer-Verlag Berlin-Heidelberg. Proceedings of the 5th European Conference on Computer Vision (ECCV’98), 2-6 June 1998, Freiburg, Germany. Oral presentation. [pdf]
[C4]
C. Nikou, F. Heitz, and J. P. Armspach. Brain segmentation from 3D MRI using statistically constrained physics-based deformable models. Proceedings (CD) of the IEEE Medical Imaging Conference (MIC'98), Vol. 3, pp. 2045-2049, 8-14 November 1998, Toronto, Canada. [pdf]
[C5]
C. Nikou, F. Heitz, and J. P. Armspach. Multimodal image registration using statistically constrained deformable multimodels. Proceedings of the IEEE International Conference on Image Processing (ICIP'98), Vol. I, pp 878-882, 4-7 October 1998, Chicago, USA. [pdf]
[C6]
C. Nikou, F. Heitz and J. P. Armspach. A probabilistic multi-object deformable model for MR/SPECT image registration and segmentation. SPIE Medical Imaging’99, San Diego, California, USA, 20-26 Feb. 1999, Vol. 3361, pp 170-181. [pdf]
[C7]
C. Nikou, F. Heitz, J. P. Armspach and G. Bueno. A physically-based statistical deformable model for brain image analysis. Lecture Notes in Computer Science, Vol. 2, pp 528-542, Springer-Verlag Berlin-Heidelberg Proceedings of the 6th European Conference on Computer Vision (ECCV’00), 26 June-1 July 2000, Dublin, Ireland. [pdf]
[C8]
G. Bueno, C. Nikou, O. Musse, F. Heitz, J. P. Armspach. Construction of a 3D physically-based multi-object deformable model. Proceedings of the IEEE International Conference on Image Processing (ICIP'00), Vol. 1, pp. 268-271, 10-13 September 2000, Vancouver, Canada. [pdf]
[C9]
S. Krinidis, C. Nikou and I. Pitas. A global energy function for the alignment of serially acquired slices. In Proceedings of the Panhellenic Conference on Informatics (PCI’01), 8-10 November 2001, Nicosia, Cyprus. [pdf]
[C10]
E. Loutas, C. Nikou, K. Diamantaras and I. Pitas. Efficient occlusion handling region tracking. In Proceedings of the IEEE International Symposium on Signal Processing and Information Technology (ISSPIT’01), 28-30 December 2001, Cairo, Egypt. [pdf]
[C11]
S. Krinidis, C. Nikou and I. Pitas. Alignment of serially acquired slices using a global energy function. In Proceedings of the IEEE International Conference of the Engineering in Medicine and Biology Society Conference (EMBS’01), Vol. 3, pp 2414-2417, 25-28 October 2001, Istanbul, Turkey. [pdf]
[C12]
S. Krinidis, C. Nikou and I. Pitas. 3D volume reconstruction by serially acquired 2D slices using a distance transform-based global cost function. Lecture Notes on Artificial Intelligence, Procedings of the 2nd Hellenic Conference on Artificial Intelligence (SETN’02), Vol. 2308, pp 390-400, 11-12 April 2002, Thessaloniki, Greece. [pdf]
[C13]
S. Krinidis, C. Nikou and I. Pitas. 3D physics-based reconstruction of serially acquired slices. In Proceedings of the IEEE International Conference on Multimedia and Expo (ICME’02), Vol. 1, pp 877-880, 26-29 August 2002, Lausanne, Switzerland. [pdf]
[C14]
Z. Cernekova,, C. Nikou and I. Pitas. Shot detection in video sequences using entropy-based metrics. In Proceedings of the IEEE International Conference on Image Processing (ICIP’02), Vol. 3, pp. 421-424, 22-25 September 2002, Rochester, New York, USA. [pdf]
[C15]
Z. Cernekova,, C. Nikou and I. Pitas. Entropy metrics used for video summarization. In Proceedings of the Inernational Spring Conference on Computer Graphics (ISCCG’02), Budmerice, Slovakia, 2002. [pdf]
[C16]
E. Loutas, C. Nikou and I. Pitas. An information theoretic approach to joint probabilistic face detection and tracking. In Proceedings of the IEEE International Conference on Image Processing (ICIP’02), Vol. 1, pp. 505-508, 22-25 September 2002, Rochester, New York, USA. [pdf]
[C17]
E. Loutas, C. Nikou and I. Pitas. Information theory-based analysis of partial and total occlusion in object tracking.. In Proceedings of the IEEE International Conference on Image Processing (ICIP’02), Vol. 2, pp. 309-312, 22-25 September 2002, Rochester, New York, USA. [pdf]
[C18]
C. Nikou, N. Galatsanos, A. Likas and K. Blekas. Image segmentation with a class-adaptive spatially constrained mixture model. Proceedings of the 14th European Signal Processing Conference (EUSIPCO’06), 4-8 September 2006, Florence, Italy. [pdf]
[C19]
Kampouraki, C. Nikou and G. Manis. Classification of heart rate sigals using support vector machines. Proceedings of the 18th EURASIP Biosignal Conference (Biosignal’06), pp. 9-11, 28-30 June 2006, Brno, Czech Republic. [pdf]
[C20]
A. Kampouraki, C. Nikou and G. Manis. Robustness of support vector machine based-classification of heart rate signals. 28th International IEEE Engineering in Medicine and Biology Conference (EMBC’06), pp. 2159-2162, 30 Aug.-3 Sep. 2006, New York, USA. [pdf]
[C21]
D. Gerogiannis, C. Nikou and A. Likas. Rigid image registration based on pixel grouping. In Proceedings of the 14th International Conference on Image Analysis and Processing (ICIAP’07), 10-14 September 2007, Modena, Italy. [pdf]
[C22]
G. Sfikas, C. Nikou and N. Galatsanos. Robust image segmentation with mixtures of Students’s t-distribution. In Proceedings of the IEEE International Conference on Image Processing (ICIP’07), Vol. 1, pp. 273-276, 16-19 September 2007, San Antonio, Texas, USA. [pdf]
[C23]
K. Blekas, C. Nikou, N. Galatsanos and N. Tsekos. Curve clustering with spatial constraints for analysis of spatiotemporal data. In Proceedings of the 19th IEEE International Conference on Tools with Artificial Intelligence (ICTAI’07), Vol. 1, pp. 529-535, 29-31 October 2007, Patras, Greece. [pdf]
[C24]
D. Gerogiannis, C. Nikou and A. Likas. Robust image registration using mixtures of t-distributions. Proceedings of the 8th IEEE Computer Society Workshop on Mathematical Methods in Biomedical Image Analysis (MMBIA’07), in conjunction with ICCV’07, 14-20 October 2007, Rio de Janeiro, Brazil. [pdf]
[C25]
E. Fotiou, C. Nikou and N. Galatsanos. A spatially adaptive hierarchical stochastic model for non-rigid image registration. Proceedings of the 16th European Signal Processing Conference (EUSIPCO’08), 25-29 April 2005, Lausanne, Switzerland. [pdf]
[C26]
G. Sfikas, C. Nikou and N. Galatsanos. Edge-preserving spatially varying mixtures for image segmentation. Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR’08), 23-28 June 2008, Anchorage, Alaska, USA. Oral presentation (top 3% papers). [pdf] [MATLAB code]
[C27]
G. Sfikas, C. Nikou, N. Galatsanos and C. Heinrich. MR brain tissue classification using an edge preserving Bayesian mixture model. Proceedings of the 11th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI’08), pp. 43-50, 6-10 September 2008, New York, USA. [pdf]
[C28]
G. Sfikas, C. Nikou, C. Heinrich and N. Galatsanos. On the optimization of probability vector MRFs in image segmentation. Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing (MLSP‘09), 2-4 September 2009, Grenoble, France. [pdf]
[C29]
G. Sfikas, C. Heinrich, J. Zallat, C. Nikou and N. Galatsanos. Joint recovery and segmentation of polarimetric images using a compound MRF and mixture modeling. In Proceedings of the IEEE International Conference on Image Processing (ICIP’09), pp. 3901-3904, 7-11 November 2009, Cairo, Egypt. [pdf]
[C30]
M. Plissiti, C. Nikou and A. Charchanti. Accurate localization of cell nuclei in Pap smear images using gradient vector flow deformable models. Proceedings of the 3rd International Conference on Bio-inspired Signals and Systems (BIOSIGNALS’10), pp. 284-289, 20-23 January 2010, Valencia, Spain. [pdf]
[C31]
T. Athanasiadis, I. Fudos, C. Nikou and V. Stamati. Feature-based 3D morphing based on geometrically constrained sphere mapping optimization. Proceedings of the 25th ACM Symposium on Applied Computing (SAC’10), 22-26 March 2010, Sierre, Switzerland. [pdf]
[C32]
V. Karavasilis, C. Nikou and A. Likas. Visual tracking by adaptive Kalman filtering and mean shift. Proceedings of the 6th Hellenic Conference on Artificial Intelligence (SETN’10), Lecture Notes in Artificial Intelligence, Vol. 6040, pp. 153-162, 4-7 May 2010, Athens, Greece. [pdf]
[C33]
G. Sfikas, C. Heinrich and C. Nikou.  Multiple atlas inference and population analysis with spectral clustering. Proceedings of the 20th International Conference on Pattern Recognition (ICPR’10), pp. 2500-2503, 23-26 August 2010, Istanbul, Turkey. [pdf]
[C34]
M. Plissiti, C. Nikou and A. Charchanti. Watershed-based segmentation of cell nuclei boundaries in Pap smear images. Proceedings of the 10th IEEE International Conference on Information Technology Applications in Biomedicine (ITAB’10), 3-5 November 2010, Corfu, Greece. [pdf]
[C35]
M. Vrigkas, C. Nikou and L. P. Kondi. On the improvement of image registration for high accuracy super-resolution. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP’11), pp. 981-984, 22-27 May 2011, Prague, Czech Republic. [pdf]
[C36]
G. Sfikas, C. Nikou, N. Galatsanos and C. Heinrich. Majorization-minimization mixture model determination in image segmentation. IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR’11), pp. 2169-2176, 20-25 June 2011, Colorado Springs, Colorado, USA. [pdf]
[C37]
T. Gkamas and C. Nikou. Guiding optical flow estimation using superpixels. 17th International Conference on Digital Signal Processing (DSP’11), 6-8 July 2011, Corfu, Greece. [pdf]
[C38]
M. Plissiti and C. Nikou. Cell nuclei segmentation by learning a physically based deformable model. 17th International Conference on Digital Signal Processing (DSP’11), 6-8 July 2011, Corfu, Greece. [pdf]
[C39]
V. Karavasilis, K. Blekas and C. Nikou. Motion segmentation by model-based clustering of incomplete trajectories. European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML - PKDD’11). Lecture Notes in Artificial Intelligence, Vol. 2, pp.146-161, 5-9 September 2011, Athens, Greece. [pdf]
[C40]
D. Gerogiannis, C. Nikou and A. Likas. A split-and-merge framework for 2D shape summarization. 7th International Symposium on Image and Signal Processing and Analysis (ISPA‘11), pp. 206-2011, 4-6 September 2011, Dubrovnik, Croatia. [pdf]
[C41]
M. Plissiti and C. Nikou. Cervical cell classification based exclusively on nucleus features. International Conference on Image Analysis and Recognition (ICIAR’12), Lecture Notes in Computer Science, Vol. 7325, pp. 483-490, 25-27 June 2012, Aveiro, Portugal. [pdf]
[C42]
V. Karavassilis, C. Nikou and A. Likas. Gaussian mixture-based mean shift for tracking under abrupt illumination changes. International Conference on Intelligent Information Hiding and Multimedia Signal Processing (IIHMSP’12), pp. 510-513, 18-20 July 2012, Piraeus, Greece. [pdf]
[C43]
M. Vrigkas, C. Nikou and L. Kondi. A fully robust framework for MAP image super-resolution. IEEE International Conference on Image Processing (ICIP’12), pp. 2225-2228, 30 September-3 October 2012, Orlando, Florida, USA. [pdf]
[C44]
V. Karavasilis, C. Nikou and A. Likas. Visual tracking by weighted likelihood maximization. 24th IEEE International Conference on Tools with Artificial Intelligence (ICTAI‘12), pp. 246-252, 7-9 November, 2012, Athens, Greece. [pdf]
[C45]
T. Gkamas, G. Chantas and C. Nikou. A probabilistic formulation of the optical flow problem. International Conference on Pattern Recognition (ICPR’12), pp. 754-757, 11-15 November 2012, Tsukuba, Japan. [pdf]
[C46]
D. Gerogiannis, C. Nikou and A. Likas. Fast and efficient vanishing point detection in indoor images. International Conference on Pattern Recognition (ICPR’12), pp. 3244-3247, 11-15 November 2012, Tsukuba, Japan. [pdf]
[C47]
M. Plissiti and C. Nikou. On the importance of nucleus features in the classification of Pap smear images. International Workshop on Pattern Recognition for Healthcare analytics. In conjunction with ICPR'12, 11-15 November, Tsukuba, Japan. [pdf]
[C48]
M. Vrigkas, V. Karavasilis, C. Nikou and I. Kakadiaris. Action recognition by matching clustered trajectories of motion vectors. 8th International Conference on Computer Vision Theory and Applications (VISAPP’13), pp. 112-117, 21-24 February 2013, Barcelona, Spain. [pdf]
[C49]
D. Gerogiannis and C. Nikou. Tex-Lex: Automated generation of texture lexicons using images from the World Wide Web. International Conference on Digital Signal Processing (DSP’13), 1-3 July 2013, Santorini, Greece. [pdf]
[C50]
M. Plissiti, E. Louka and C. Nikou. Splitting of overlapping nuclei guided by robust combinations of concavity points. SPIE Medical Imaging 2014, San Diego, CA, USA, 15-20 February 2014. [pdf]
[C51]
 M. Vrigkas, C. Nikou and I. Kakadiaris. Classifying behavioral attributes using conditional random fileds. 8th Hellenic Conference on Artificial Intelligence (SETN'14), Ioannina, Greece, 15-17 May 2014. Lecture Notes in Computer Science, Vol. 8445, pp. 95-104,2014. [pdf] [Parliament dataset]
[C52]
 A. Giotis, D. Gerogiannis and C. Nikou. Word spotting in handwritten text using contour-based models. 14th International Conference on Frontiers in Handwriting Recognition (ICFHR‘14), 1-4 September 2014, Hersonisos, Crete, Greece, pp. 399-404, 2014. [pdf]
[C53]
 D. Gerogianis, C. Nikou and A. Likas. Global sampling of image edges. IEEE International Conference on Image Processing (ICIP’14), 27-30 October 2014, Paris, France, pp. 4712-4716. [pdf]
[C54]
 Giotis, G. Sfikas, C. Nikou and B. Gatos. Shape-based word spotting in handwritten document images. 13th International Conference on Document Analysis and Recognition (ICDAR’15), 23-26 August 2015, Nancy, France, pp. 561-565. [pdf]
[C55]
 D. Gerogianis, C. Nikou and L. P . Kondi. Shape encoding for edge map image compression. IEEE International Conference on Image Processing (ICIP’15), pp. 1563-1567, 27-30 September 2015, Quebec City, Canada. [pdf]
[C56]
 K. Papadimitriou and C. Nikou. Tomographic image reconstruction with a spatially varying Gaussian mixture prior. IEEE International Conference on Image Processing (ICIP’15), pp. 4002-4006, 27-30 September 2015, Quebec City, Canada. [pdf].
[C57]
 M. Plissiti, M. Vrigkas and C. Nikou. Segmentation of cell clusters in Pap smear images using intensity variation between superpixels. 22nd International Conference on Systems, Signals and Image Processing (IWSSIP’15), 10-12 September 2015, London, United Kingdom, pp 184-187. [pdf]
[C58]
 M. Vrigkas, C. Nikou and I. Kakadiaris. Exploiting privileged information for facial expression recognition. IAPR/IEEE International Conference on Biometrics (ICB’16), 13-16 June 2016, Halmstad, Sweden. Best paper award. [pdf]
[C59]
 M. Vrigkas, C. Nikou and I. Kakadiaris. Active privileged learning of human activities from weakly labeled samples. IEEE International conference on Image Processing (ICIP’16), pp. 3036-3040, 25-28 September 2016, Phoenix, Arizona, USA. [pdf]
[C60]
 I. Kakadiaris, N. Sarafianos and C. Nikou. Show me your body: gender classification from still images. IEEE International conference on Image Processing (ICIP’16), pp. 3156-3160, 25-28 September 2016, Phoenix, Arizona, USA. [pdf]
[C61]
 N. Sarafianos, C. Nikou, and I. Kakadiaris. Predicting privileged information for height estimation. 23rd International Conference on Pattern Recognition (ICPR’16), pp. 3115-3120, 4-8 December 2016, Cancún, Mexico. [pdf]
[C62]
 G. Sfikas and C. Nikou. Bayesian multiview manifold learning applied to hippocampus shape and clinical score data. Bayesian and Graphical Models for Biomedical Imaging (BAMBI’16), in conjunction with MICCAI’16, pp. 160-171, 17-21 October 2016, Athens, Greece. Best paper award. [pdf]
[C63]
 A.Báez-Suárez, C. Nikou, J. A. Nolazco-Flores., I. A. Kakadiaris. Age classification from facial images: is frontalization necessary?. International Symposium on Visual Computing (ISVC’16), pp. 769-778, 12-14 December 2016, Las Vegas, Nevada, USA. In Advances in Visual Computing. ISVC 2016. Lecture Notes in Computer Science, vol.10072. Springer, Cham. [pdf]
[C64]
 A. Memariani, C. Nikou, B. T. Endres, E. Bassères, K. W. Garey, I. A. Kakadiaris. DeTEC: detection of touching elongated cells in SEM images. International Symposium on Visual Computing (ISVC’16), pp. 289-297, 12-14 December 2016, Las Vegas, Nevada, USA. In Advances in Visual Computing. ISVC 2016. Lecture Notes in Computer Science, vol.10072. Springer, Cham. [pdf]
[C65]
 C. Nikou. MAP tomographic reconstruction with a spatially adaptive hierarchical image model. 25th European Signal Processing Conference (EUSIPCO'17), 28 August - 2 September 2017, Kos, Greece, pp. 1594-1598, 2017. [pdf]
[C66]
 M. Vrigkas, E. Kazakos, C. Nikou and I.A. Kakadiaris. Inferring human activities using robust privileged probabilistic learning. 4th Workshop on Transferring and Adapting Source Knowledge in Computer Vision (TASK-CV), in conjunction with the International Conference on Computer Vision (ICCV'17), Venice, Italy, October 22-29 2017. [pdf]
[C67]
 N. Sarafianos, Th. Giannakopoulos, C. Nikou and I. Kakadiaris. Curriculum learning for multi-task classification of visual attributes. 4th Workshop on Transferring and Adapting Source Knowledge in Computer Vision (TASK-CV), in conjunction with the International Conference on Computer Vision (ICCV'17), Venice, Italy, October 22-29 2017. [pdf]
[C68]
 G. Sfikas, B. Gatos and C. Nikou. SemiCCA: a new supervised probabilistic CCA model for keyword spotting. IEEE International Conference on Image Processing (ICIP’17), pp. 1107-1111, 17-20 September 2017, Beijing, China. [pdf]
[C69]
 A. Memariani, C. Nikou, B. T. Endres, E. Bassères, K. W. Garey, I. A. Kakadiaris. DETCIC: detection of elongated touching cells with inhomogeneous illumination using a stack of conditional random fields. 13th International Joint Conference on Computer Vision Theory and Applications (VISAPP'18), Funchal, Madeira, Portugal, 27-29 January 2018. [pdf]
[C70]
 O. Magana, M. Vrigkas, C. Nikou and I. Kakadiaris.SPICE: superpixel classification for cell detection and counting. 13th International Joint Conference on Computer Vision Theory and Applications (VISAPP'18), Funchal, Madeira, Portugal, 27-29 January 2018. [pdf]
[C71]
 E. Kazakos, C. Nikou and I. K. Kakadiaris. On the fusion of RGB and depth information for hand pose estimation. 25th IEEE International Conference on Image Processing (ICIP’2018), Athens, Greece, 7-10 October 2018. [pdf]
[C72]
 M. Plissiti, P. Dimitrakopoulos, G. Sfikas, C. Nikou, O. Krikoni and A. Charchanti. SPIKAMED : a new dataset for feature and image based classification of normal and pathological cervical cells in Pap smear images. 25th IEEE International Conference on Image Processing (ICIP’2018), Athens, Greece, 7-10 October 2018. [pdf]
[C73]
 M. Vrigkas, E. Mastora, C. Nikou and I.A. Kakadiaris, "Robust incremental hidden conditional random fields for human action recognition," 13th International Symposium on Visual Computing (ISVC’18), Las Vegas, NV, USA, 19-21 November 2018. [pdf]
[C74]
 P. Kouzouglidis, G. Sfikas and C. Nikou. Automatic video colorization using 3D conditional generative adversarial networks. LNCS Vol. 11844, pp.209-218. International Symposium on Visual Computing (ISVC’19), 7-9 October 2019, Lake Tahoe, Nevada, USA. [pdf]
[C75]
 P. Dimitrakopoulos, G. Sfikas and C. Nikou. Nuclei detectioon using residual attention feature pyramid networks. 19th IEEE International Conference on Bioinformatics and Bioengineering (BIBE’19), pp. 109-114, 28-30 October 2019, Athens, Greece. [pdf]
[C76]
 M. Zerva, M. Vrigkas, L. P. Kondi and C. Nikou. Improving 3D medical image compression efficiency using spatiotemporal coherence. Electronic Imaging 2020, 26-30 January 2020, Burlingame, California, USA. [pdf]
[C77]
 P. Dimitrakopoulos, G. Sfikas and C. Nikou. ISING-GAN: Annotated data augmentation with a spatially constrained generative adversarial network. IEEE International Symposium on Biomedical Imaging (ISBI’20), 3-7 April 2020, Iowa City, Iowa, USA. [pdf]
[C78]
 P. Dimitrakopoulos, G. Sfikas and C. Nikou. WIND: Wasserstein inception distance for evaluating generative adversarial network performance. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP’20), 4-8 May, 2020, Barcelona, Spain. [pdf]
[C79]
 G. Chatzitzisi, M. Vrigkas and C. Nikou. Gender and age estimation without facial information from still images. International Symposium on Visual Computing (ISVC’20), 2-7 October 2020, San Diego, California, USA, LNCS Vol. 12509, pp. 488–500, 2020. [pdf]
[C80]
 G. Sfikas, A. Giotis, G. Retsinas and C. Nikou. Quaternion generative adversarial networks for inscription detection in byzantine monuments. 2nd International Workshop on Pattern Recognition for Cultural Heritage (PatReCH 2020), held in conjunction with the 25th International Conference on Pattern Recognition (ICPR), January 2021, Milan, Italy. [pdf]
[C81]
 V. Megir, G. Sfikas, A. Mekras, C. Nikou, D. Ioannidis, D. Tzovaras, Salient object detection with pretrained Deeplab and k-means: Application to UAV-captured building imagery. 1st workshop on Pattern Recognition and Automation in Construction and the Built Environment (PRAConBE 2020), held in conjunction with the 25th International Conference on Pattern Recognition (ICPR), January 2021, Milan, Italy. [pdf]
[C82] G. Retsinas, G. Sfikas and  C. Nikou. Iterative weighted transductive learning for handwriting recognition. 16th International Conference on Document Analysis and Recognition (ICDAR 2021), 5-10 September 2021, Lausanne, Switzerland. [pdf]
[C83] G. Retsinas, G. Sfikas, C. Nikou and P. Maragos. Deformation-invariant networks for handwritten text recognition, IEEE International Conference on Image Processing (ICIP 2021), 19-22 September 2021, Anchorage, AL, USA. [pdf]
[C84] G. Retsinas, G. Sfikas, C. Nikou and P. Maragos. From Seq2Seq recognition to handwritten word embeddings. The 32nd British Machine Vision Conference (BMVC 2021), 22-25 November 2021, online. [pdf]
[C85] G. Sfikas, G. Retsinas, A. Giotis, B. Gatos and C. Nikou.    Keyword spotting with quaternionic ResNet: application to spotting in Greek manuscripts. 15th IAPR Workshop on Document Analysis Systems (DAS'2022), May 22-25, La Rochelle, France.
[C86] G. Retsinas, G. Sfikas, B. Gatos and C. Nikou. Best practices for a handwritten text recognition system. 15th IAPR Workshop on Document Analysis Systems (DAS'2022), May 22-25, La Rochelle, France.
[C87] G. Retsinas, G. Sfikas, B. Gatos and C. Nikou. On-The-Fly deformations for keyword spotting. 15th IAPR Workshop on Document Analysis Systems (DAS'2022), May 22-25, La Rochelle, France.
[C88] G. Sfikas, G. Retsinas, B. Gatos and C. Nikou. Hypercomplex generative adversarial networks for lightweight semantic labeling. 3rd International Conference on Pattern Recognition and Artificial Intelligence (ICPRAI’2022), 1-3 June 2022, Paris, France.
[C89] A. Katsaliros, I. Panagos, G. Sfikas and C. Nikou. Road crack detection using quaternion neural networks. IEEE 14th Image, Video, and Multidimensional Signal Processing Workshop (IVMSP 2022), 26-29 June 2022, Nafplio, Greece.
[C90] I. Panagos, A. Giotis and C. Nikou. Multi-object visual tracking for indoor images of retail consumers. IEEE 14th Image, Video, and Multidimensional Signal Processing Workshop (IVMSP 2022), 26-29 June 2022, Nafplio, Greece.
[C91] A. Giotis, G. Sfikas and C. Nikou. Adversarial deep features for weakly supervised document image word spotting. IEEE 14th Image, Video, and Multidimensional Signal Processing Workshop (IVMSP 2022), 26-29 June 2022, Nafplio, Greece.
[C92] P. Dimitrakopoulos, G. Sfikas and C. Nikou. Variational feature pyramid networks. 39th International Conference on Machine Learning (ICML 2022), 17-23 July 2022, Baltimore, MD, USA.
[C93] I. Panagos, G. Sfikas and C. Nikou. Compressing audio visual speech recognition models with parameterized hypercomplex layers.  12th EETN Conference on Artificial Intelligence (SETN 2022), 7-9 September 2022, Corfu, Greece. doi:https://doi.org/10.1145/3549737.3549785.
[C94] M. Vrigkas, V. Tagka, M. Plissiti, and C. Nikou. Composition of motion from video animation through learning local transformations. 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2023), 4-10 June 2023, Rhodes, Greece.
[C95] P. Rempakos, M. Vrigkas, M. Plissiti and C. Nikou. Spatial transformer generative adversarial network for Image super-resolution. 22nd International Conference on Image Analysis and Processing (ICIAP 2023), 11-15 September 2023, Udine, Italy.
[C96] D. Gerogianis, P. Sotiriadis and C. Nikou. The machine learning Pod Canvas: An end to-end methodology to design, build and deploy ML applications. 1st International Conference on Frontiers of Artificial Intelligence, Ethics, and Multidisciplinary Applications (FAIEMA 2023), 25th - 26th September 2023, Athens, Greece.
[C97] M. Vrigkas and C. Nikou. A virtual reality 3D game: a comparison between an immersive virtual reality application and a desktop experience. 1st Workshop on 3D Computer Vision and Photogrammetry (3DCVP 2023), in conjunction with IEEE ICIP 2023, 8 October 2023, Kuala Lumpur, Malaysia.
[C98] P. Dimitrakopoulos, G. Sfikas and C. Nikou. Implicit neural representation inference for low-dimensional Bayesian deep learning. 12th International Conference on Learning Representations (ICLR 2024), 7-11 May 2024, Vienna, Austria.

Conference publications (abstracts)

[CA1]
J. P. Armspach, C. Nikou, I. J. Namer, L. Rumbach, D. Grucker, F. Heitz, and J. Chambron. Automated registration of MRI for the follow-up of multiple sclerosis patients. European Conference of the Socitey of Magnetic Resonance Materials in Physics, Biology and Medicine (ESMRMPBM‘96), 1996, Prague, Czech Republic. Published in Magnetic Resonance Materials in Physics Biology and Medicine, 4(2):291.
[CA2]
J. P. Armspach, C. Nikou, I. J. Namer, D. Grucker, and F. Heitz. Automated registration of MRI for the follow-up of multiple sclerosis patients. 13th European Conference on Treatment end Research of Multiple Sclerosis (ECTRMS'97), 1997. 2-5 November 1997, Istanbul, Turkey.
[CA3]
C. Nikou, I. J. Namer, J. P. Armspach, F. Heitz, and D. Grucker. Recalage d'images medicales IRM - TEMP par une approche robuste. Congres de Medécine Nucléeaire de la langue Française (MNLF’97), 1-3 October 1997, Saint Malo, France.
[CA4]
J. Namer, A. Thiriaux, J. P. Armspach, C. Nikou, F. Heitz, D. Gounot, E. Hirsch, C. Marescaux and D. Grucker. Localisation préchirurgicale des zones epileptogènes par la superposition des images IRM-TEMP. Intérêt de deux examens TEMP critique et inter-critique. Congres de Medécine Nucléeaire de la langue Française (MNLF’99), 17-19 November 1999, Toulouse, France.
[CA5]
C. Nikou, N. Galtsanos and N. Tsekos. Spatial segmentation based on the signal time activity of dynamic cardiac images during intracoronary infusion of GD contrast agent. International Symposium of Magnetic Resonance in Medicine (ISMRM’07), 19-25 May 2007, Berlin, Germany.
[CA6] I. Kakadiaris, M. Islam, T. Xie, C. Nikou and A. Lumsden. iRay: Mobile AR using Structure Sensor. 15th IEEE International Symposium on Mixed and Augmented Reality (ISMAR’16), 19-23 September, Merida, Mexico. [pdf]
[CA7] M. Plissiti, C. Nikou, O. Krikoni and A. Charchanti. Combining cytoplasm and nuclei features for the classification of pathological cells in Pap smear images: a preliminary study on a new data base. IEEE International Symposium on Biomedical Imaging (ISBI'17), 18-21 April 2017, Melbourne, Australia.
[CA8] A. Memariani, , S. Upadhyay, C. Nikou, B. T. Endres, E. Bassères, K. W. Garey, I. A. Kakadiaris. Detection of ellongated touching cells with Inhomogeneous illumination using a stack of conditional random fields. Computer Vision for Microscopy Image Analysis (CVMI'17) Workshop held in conjunction with the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'17), 21-26 July 2017, Honolulu, HW, USA.
[CA9] I. Panagos, A. Giotis and C. Nikou. Tracking multiple instances of retail consumers from RGB and thermal images. Engineering Proceedings, 21(17), 2022. 9th International Symposium on Sensor Sciences (I3S 2022), 20-22 June 2022, Warsaw, Poland.


Book Chapters

[BC1]
E. Loutas, C. Nikou and I. Pitas. Information theory-based face tracking. In Multisensor Surveillance Systems, Editors: G. L. Foresti, C. S. Regazzoni, P. K. Varshney, Chapter 14, pages 251-264. Kluwer Academic Publishers, 2003. ISBN 978-1402074921
[BC2]
M. Plissiti and C. Nikou. A review of automated techniques for cervical cell image analysis and classification. In Biomedical Imaging and Computational Models in Biomechanics. Editors: D. Iacoviello and U. Andreaus. Lecture Notes in Computational Vision and Biomechanics, Vol.4, pp. 1-18, Springer 2013. ISBN 978-9400742697. [original publication]


Edited Book

[EB1] M. Vrigkas, C. Nikou and I. Kakadiaris. Applied Sciences: Advances in Biomedical Image Processing and Analysis. MDPI Books, January 2024. ISBN 978-3-0365-9638-9.