Journal Publications

[34] Guoxi Huang, A. G. Bors, "BQN: Busy-Quiet net enabled by motion band-pass module for Action Recognition," IEEE Transactions on Image Processing, July 2022.

  • [33] Cameron Kyle-Davidson, A. G. Bors, Karla K. Evans "Modulating human memory for complex scenes with artificially generated images," Scientific Reports, vol. 12, no. 1, Jan. 2022.

    [32] F. Ye, A. G. Bors, "Lifelong Mixture of Variational Autoencoders," IEEE Trans. on Neural Networks and Learning Systems, DOI:10.1109/TNNLS.2021.3096457, 2021.

    [31] F. Ye, A. G. Bors, "Lifelong Teacher-Student Network Learning," IEEE Trans. on Pattern Analysis and Machine Intelligence, DOI:10.1109/TPAMI.2021.3092677 2021.

    [30] F. Ye, A. G. Bors, "Deep Mixture Generative Autoencoders," IEEE Trans. on Neural Networks and Learning Systems, DOI:10.1109/TNNLS.2021.3071401, 2021.

  • [29] F. Ye, A. G. Bors, "Learning joint latent representations based on information maximization," Information Sciences, vol. 567, vol. 8, pp. 216-236, 2021.

    [28] E. Akagunduz, A. G. Bors, K. K. Evans, "Defining Image Memorability using the Visual Memory Schema," IEEE Trans. on Pattern Analysis and Machine Intelligence, vol. 42, no. 9, pp. 2165-2178, 2020.

    [27] Z. Li, A. G. Bors, "Selection of Robust and Relevant Features for 3-D Steganalysis," IEEE Trans. on Cybernetics, vol. 50, no. 5, pp. 1989-2001, 2020.

  • [26] Z. Li, A. G. Bors, "Steganalysis of meshes based on 3D wavelet multiresolution analysis," Information Sciences, vol. 522, pp. 164-179, 2020.

  • [25] Y. Zhang, X. Luo, X. Zhu, Z. Li, A. G. Bors, "Enhancing reliability and efficiency for real-time robust adaptive steganography using cyclic redundancy check codes," Jour. of Real-Time Image Processing,, vol. 17, pp. 115-123, 2020.

  • [24] K. Stephens, A. G. Bors, "Modelling of interactions for the recognition of activities in groups of people," Digital Signal Processing, vol. 79, pp. 34-46, Aug. 2018.

  • [23] Z. Li, A. G. Bors, "Steganalysis of 3D objects using statistics of local feature sets," Information Sciences, vol. 415, pp. 85-99, Nov. 2017.

  • [22] S. Gudivada, A. G. Bors, "Ortho-diffusion decompositions of graph-based representation of images," Pattern Recognition, vol. 48, no. 12, pp. 4097-4115, Dec. 2015.

  • [21] A. Papushoy, A. G. Bors, "Image retrieval based on query by saliency content," Digital Signal Processing, vol. 36, no. 1, pp 156-173, Jan. 2015.

  • [20] M. Grum, A. G. Bors, "3D modeling of multiple-object scenes from sets of images," Pattern Recognition, vol. 47, pp. 326-343, Jan. 2014.

    [19] A. G. Bors, M. Luo, "Optimized 3D Watermarking for Minimal Surface Distortion," IEEE Trans. Image Processing, vol. 22, no. 5, pp. 1822-1835, May 2013.

    [18] M. Luo, A. G. Bors, "Surface-preserving watermarking of 3-D shapes," IEEE Trans. Image Processing, vol. 20, no. 10, pp. 2813-2826, Oct 2011.

    [17] A. Doshi, A. G. Bors, "Robust processing of optical flow of fluids," IEEE Trans. Image Processing, vol. 19, no. 9, pp. 2332-2344, Sep 2010.

  • [16] A. Doshi, A. G. Bors, "Smoothing of optical flow using robustified diffusion kernels," Image and Vision Computing, . vol. 28, no. 12, pp. 1575-1589, Dec 2010.

    [15] A. G. Bors, N. Nasios, "Kernel bandwidth estimation for nonparametric modelling," IEEE Trans. on Systems, Man, and Cybernetics - Part B: Cybernetics, vol 39, no. 6, pp. 1543-1555, Dec. 2009.

  • [14] N. Nasios, A. G. Bors, "Kernel-based classification using quantum mechanics," Pattern Recognition, vol. 40, no. 3, pp. 875-889, Mar. 2007.

    [13] N. Nasios, A. G. Bors, "Variational learning for Gaussian mixtures," IEEE Trans. on Systems, Man, and Cybernetics - Part B: Cybernetics, vol 36, no. 4, pp. 849-862, Aug. 2006.

    [12] A. G. Bors, "Watermarking Mesh-Based Representations of 3-D Objects Using Local Moments," IEEE Trans. on Image Processing, vol 15, no. 3, pp. 687- 701, Mar. 2006.

    [11] A.G. Bors, E.R. Hancock, R.C. Wilson "Terrain analysis using radar shape-from-shading," IEEE Trans. on Pattern Analysis and Machine Intelligence, vol. 25, no. 8, pp. 974-992, 2003.

    [10] A. G. Bors, L. Kechagias, I. Pitas, "Binary morphological shape-based interpolation applied to 3-D tooth reconstruction," IEEE Trans. on Medical Imaging, vol. 21, no. 2, pp. 100-109, 2002.

  • [9] W. Puech, A.G. Bors, I. Pitas, J.-M. Chasssery, "Projection Distortion Analysis for Flattened Image Mosaicing from Straight Uniform Generalized Cylinders," Pattern Recognition, vol. 34, no. 8, pp. 1657-1670, Aug. 2001.

    [8] A. G. Bors, I. Pitas, "Prediction and Tracking of Moving Objects in Image Sequences," IEEE Trans. on Image Processing, vol. 9, no. 8, pp. 1441-1445, Aug. 2000.

    [7]A. G. Bors, I. Pitas, "Object classification in 3-D images using Alpha-Trimmed Mean Radial Basis Function Network," IEEE Trans. on Image Processing, vol 8, no. 12, pp. 1744-1756, Dec. 1999.

    [6] V. Chatzis, A. G. Bors, I. Pitas, "Multimodal decision-level fusion for person authentication, IEEE Trans. on Systems, Man and Cybernetics - Part A: Systems and Humans, vol. 29, no. 6, pp. 674-681, Nov. 1999.

  • [5] A. G. Bors, I. Pitas, " Image watermarking using block site selection and DCT domain constraints," Optics Express, vol. 3, no. 12, pp. 512-522, 7 Dec. 1998.

  • [4] C. Kotropoulos, N. Nikolaidis, A. G. Bors, I. Pitas, " Robust and Adaptive Techniques in Self-Organizing Neural Networks," International Journal of Computer Mathematics, vol. 67, pp. 183-200, 1998.

    [3] A. G. Bors and I. Pitas, "Optical Flow Estimation and Moving Object Segmentation Based on Median Radial Basis Function Network," IEEE Trans. on Image Processing, vol. 7, no. 5, pp. 693-702, May 1998.

    [2] A. G. Bors and I. Pitas, "Median Radial Basis Function Neural Network," IEEE Trans. on Neural Networks, vol. 7, no. 6, pp. 1351-1364, Nov. 1996.

  • [1] A. G. Bors, M. Gabbouj, "Minimal Topology for a Radial Basis Functions Neural Network for Pattern Classification," Digital Signal Processing: A Review Journal, vol. 4, no. 3, pp. 173-188, July 1994.


    Book Chapters

  • [4] A.G. Bors and A. Papushoy," Image Retrieval Based on Query by Saliency Content," in Visual Content Indexing and Retrieval with Psycho-Visual Models, Chapter: 8, Eds: Jenny Benois-Pineau, Patrick Le Callet, Springer, 2017.

  • [3] W. Puech, A.G. Bors and J.M. Rodrigues, " Protection of Color Images by Selective Encryption," in Advanced Color Image Processing and Analysis, pp. 397-421, Ed: C. Fernandex-Maliogne, Springer: New York, 2013.

  • [2] A. G. Bors, I. Pitas, " Robust RBF Networks," in Radial basis function neural networks: design and applications, pp. 125-153, Eds. R.J. Howlett, L. C. Jain, Physica-Verlag: Heidelberg, 2001.

  • [1] A. G. Bors, "Introduction of the Radial Basis Function (RBF) Networks," Online Symposium for Electronics Engineers, issue 1, vol. 1, DSP Algorithms: Multimedia, Feb. 13 2001, pp. 1-7.


    Conference Publications

  • [108] Z. Hu, A. G. Bors," Expressive Local Feature Match for Image Search," Proc. Int. Conf. on Pattern Recognition (ICPR), 2022.
  • [107] Fei Ye, A. G. Bors," Lifelong generative modelling using dynamic expansion gra[h model," Proc. AAAI on Artificial Intelligence , Vancover, Canada, 2022.
  • [106] G. Huang, A. G. Bors," Busy-quiet video disentangling for video classification," Proc. IEEE/CVF Winter Conf. of Applications of Computer Vision (WACV) , Waikoloa, Wawaii, USA, Jan 2022.
  • [105] Z. Li, D. Gong, L. Tan, X. Luo, F. Liu, A. G. Bors," Self-embedding watermarking method for G-code used in 3D printing," Proc. IEEE Workshop on Information Forensics and Security (WIFS), Montpellier, France, Dec 2021.
  • [104] F. Ye, A. G. Bors," Lifelong Infinite Mixture Model Based on Knowledge-Driven Dirichlet Process," Proc. IEEE/CVF International Conference on Computer Vision (ICCV) , Oct. 2021.
  • [103] F. Ye, A. G. Bors," InfoVAEGAN : Learning Joint Interpretable Representations by Information Maximization and Maximum Likelihood," Proc. IEEE Int. Conf. on Image Processing (ICIP) , Anchorage, Alaska, USA, Sep. 2021.
  • [102] F. Ye, A. G. Bors," Lifelong Twin Generative Adversarial Networks," Proc. IEEE Int. Conf. on Image Processing (ICIP) , Anchorage, Alaska, USA, Sep. 2021.
  • [101] G. Huang, A. G. Bors," Region-based Non-local Operation for Video Classification," Proc. Int. Conf. on Pattern Recognition (ICPR) , Milan, Italy, 2021.
  • [100] Z, Xu, L. Wei, C. Lang, S. Feng, T. Wang, A. G. Bors," HSS-GCN: A Hierarchical Spatial Structural Graph Convolutional Network for Vehicle Re-identification," Proc. ICPR's Int. Workshop on Human and Vehicle Analysis for Intelligent Urban Computing (IUC), vol. LNCS 12665, pp 356-364., Milan, Italy, 2021.
  • [99] F. Ye, A. G. Bors," Mixtures of Variational Autoencoders," Proc. Int. Conf. on Image Processing, Theory, Tools and Applications (IPTA) Paris, France, 2020.
  • [98] F. Ye, A. G. Bors, "Lifelong learning of interpretable image representations," Proc. Int. Conf. on Image Processing, Theory, Tools and Applications (IPTA) Paris, France, 2020.
  • [97] F. Ye, A. G. Bors, "Learning latent representations across multiple data domains using Lifelong VAEGAN," Proc. European Conference on Computer Vision (ECCV), vol. LNCS 12365, pp 777-795, Glasgow, UK, 2020.
  • [96] Z. Hu, A. G. Bors, "Conditional Attention for Content-based Image Retrieval," Proc. British Machine Vision Conference (BMVC), Manchester, UK, 2020.
  • [95] G. Huang, A. G. Bors, "Learning Spatio-Temporal Representation with Temporal Squeeze Pooling," Proc. IEEE Int. Conf. on Acoustics, Speech, and Signal Processing (ICASSP), Barcelona, Spain, 2020.
  • [94] Y. Ma, X. Luo, Z. Li, Y. Zhang, A. G. Bors, "Feature selection method for image steganalysis based on weighted inner-inter class distance and dispersion criterion, "ACM Turing Celebration Conf., China, 2019.
  • [93] C. Kyle-Davidson, A. G. Bors, K. Evans, "Predicting Visual Memory Schemas with Variational Autoencoders," Proc. British Machine Vision Conference (BMVC), Cardiff, 2019.
  • [92] Z. Li, D. Gong, F. Liu, A. G. Bors, "3D Steganalysis using the extended local feature set," Proc. IEEE Int. Conf. on Image Processing, Athens, Greece, Oct. 2018, pp. 1683-1687.
  • [91] Z. Li, F. Liu, A. G. Bors, "3D Steganalysis using Laplacian smoothing at various levels," Proc. Int. Conf. on Cloud Computing and Security (ICCCS), Haikou, China, vol. LNCS 11068, 2018, pp. 223-232.
  • [90] Z. Li, S. Beugnon, W. Puech, A. G. Bors, "Rethinking the High Capacity 3D Steganography: Increasing its Resistance to Steganalysis," Proc. IEEE Int. Conf. on Image Processing, Beijing, China, Oct. 2017, pp. 510-514.
  • [89] K. Stephens, A. G. Bors,"Recognizing Interactions Between People from Video Sequences," International Conference on Analysis and Image Analysis (CAIP), CAIP 2017, Part I, Ystad, Sweden, vol. LNCS 10424, Oct. 2017, pp. 80-91.
  • [88] K. Stephens, A. G. Bors, "Human Group Activity Recognition based on Modelling Moving Regions Interdependencies," Proc. of 23rd International Conference on Pattern Recognition (ICPR), Cancun, Mexico, Dec 2016, pp. 2116-2121
  • [87] Z. Li, A. G. Bors, "Selection of robust features for the Cover Source Mismatch problem in 3D steganalysis," Proc. of 23rd International Conference on Pattern Recognition (ICPR), Cancun, Mexico, Dec 2016, pp. 4251-4256.
  • [86] K. Stephens, A. G. Bors, "Group Activity Recognition on Outdoor Scenes," Proc. of 13th IEEE International Conference on Advanced Video and Signal-based Surveillance (AVSS), Colorado Springs, CO, USA, August 2016, pp. 59-65.
  • [85] K. Stephens, A. G. Bors, "Grouping Multi-vector Streaklines for Human Activity Identification," Proc. IEEE Workshop on Image, Video and Multidimensional Signal Processing, , Bordeaux, France, June 2016.
  • [84] Z. Li, A. G. Bors "3D Mesh Steganalysis using local shape features, " Proc. IEEE Int. Conf. on Acoustics, Speech and Signal Processing (ICASSP), Shanghai, China, March 2016, pp. 2144-2148.
  • [83] V. Itier, A. G. Bors, W. Puech, J.-P. Pedeboy, "Secure high capacity data hiding for 3D meshes," Proc. IS&T Inter. Symposium on Electronic Imaging, Vol. 3D Image Processing, Measurement (3DIPM), CA, USA, Jan. 2016, pp. 1-7.
  • [82] S. Gudivada, A. G. Bors, "Ortho-diffusion decompositions for face recognition from low quality images," Proc. IEEE Int. Conf. on Image Processing, Quebec City, Canada, 2015, pp. 3625 - 3629.
  • [81] A. Papushoy, A. G. Bors, "Visual attention for content based image retrieval,," Proc. IEEE Int. Conf. on Image Processin, Quebec City, Canada, 2015, pp. 971 - 975.
  • [80] S. Gudivada, A. G. Bors, "Robust Learning from Ortho-Diffusion Decompositions," Proc. of 16th Int. Conf. of Computer Analysis of Images and Patterns, CAIP 2015, Part I, Valetta, Malta, vol. LNCS 9256, 2-4 Sep. 2015, pp. 546-557.
  • [79] A. Papushoy, A. G. Bors, "Content Based Image Retrieval Based on Modelling Human Visual Attention," Proc. of 16th Int. Conf. of Computer Analysis of Images and Patterns, CAIP 2015, Part I, Valetta, Malta, vol. LNCS 9256, 2-4 Sep. 2015, pp. 137-148.
  • [78] K. Stephens, A. G. Bors, "Observing human activities using movement modelling," Proc. of 12th IEEE International Conference on Advanced Video and Signal-based Surveillance (AVSS), Karlsruhe, Germany, 25-28 Aug. 2015, paper #44, pp. 44_1 - 44_6.
  • [77] M. Grum, A. G. Bors, "Correcting 3D scenes estimated from sets of multi-view images using shape-from-contours," Proc. IEEE Int. Conf. on Image Processing, Paris, France, Oct 2014, pp. 2888-2892.
  • [76] V. Itier, W. Puech, A. G.Bors, "Cryptanalysis Aspects in 3-D Watermarking," Proc. IEEE Int. Conf. on Image Processing, Paris, France, Oct 2014, pp. 4772-4776.
  • [75] M. Grum, A. G. Bors, "Enforcing Consistency of 3D Scenes with Multiple Objects Using Shape-from-Contours," Proc. of 15th Int. Conf. of Computer Analysis of Images and Patterns, CAIP 2013, Part I, York, UK, vol. LNCS 8047, 27-29 Aug. 2013, pp. 539-547.
  • [74] S. Gudivada, A. G. Bors, "Orthonormal Diffusion Decompositions of Images for Optical Flow Estimation," Proc. of 15th Int. Conf. of Computer Analysis of Images and Patterns, CAIP 2013, Part II, York, UK, vol. LNCS 8048, 27-29 Aug. 2013, pp. 241-249.
  • [73] A. G. Bors, M. Luo, "Watermark Optimization of 3D Shapes for Minimal Distortion and High Robustness," Proc. of 15th Int. Conf. of Computer Analysis of Images and Patterns, CAIP 2013, Part II, York, UK, vol. LNCS 8048, 27-29 Aug. 2013, pp. 298-306.
  • [72] M. Grum, A. G. Bors, "3D scene correction using disparities with its projections," Proc. 11th IEEE Workshop on Image, Video and Multidimensional Signal Processing, Seoul, Korea, 10-12 June 2013, pp. S21_paper49:1-4. Best Paper Award
  • [71] A. G. Bors, M. Luo, "Minimal surface distortion function for optimizing 3D watermarking," Proc. 11th IEEE Workshop on Image, Video and Multidimensional Signal Processing, Seoul, Korea, 10-12 June 2013, pp. R20_paper48:1-4.
  • [70] S. Gudivada, A. G. Bors, "Face recognition using ortho-diffusion bases," Proc. 20th European Signal Processing Conference, Bucharest, Aug. 2012, pp. 1578-1582.
  • [69] M. Luo, A. G. Bors, "Minimal distortion 3-D watermarking using statistics of geodesic distances," Proc. 20th European Signal Processing Conference, Bucharest, Aug. 2012, pp. 1683-1687.
  • [68] S. Wartak, A. G. Bors, "Optical flow estimation using diffusion distances," Proc. of International Conference on Pattern Recognition, Istanbul, Turkey, Aug. 2010, pp. 189-192.
  • [67] A. Doshi, A. G. Bors, "Detecting vorticity in optical flows of fluids," Proc. of International Conference on Pattern Recognition, Istanbul, Turkey, Aug. 2010, pp. 2118-2121.
  • [66] K. Wang, M. Luo, A. G. Bors, F. Denis, "Blind and robust mesh watermarking using manifold harmonics," Proc. of IEEE International Conference on Image Processing, Cairo, Egypt, Nov 2009, pp. 3657-3660.
  • [65] A.G. Bors, N. Nasios, "Bayesian estimation of kernel bandwidth for nonparametric modelling," Proc. Int. Conf. on Artificial Neural Networks, Lecture Notes in Computer Science 5769, Limassol, Cyprus, Sep. 2009, vol. II, pp. 245-254.
  • [64] M. Luo, K. Wang, A. G. Bors, G. Lavoue, "Local Patch Blind Spectral Watermarking Method for 3D Graphics," Proc. Inter. Workshop on Digital Watermarking, Lecture Notes in Computer Science 5703, Surrey, UK, Aug. 24-26 2009, pp. 211-226.
  • [63] M. Luo, A. G. Bors, "Shape watermarking based on minimizing the quadric error metric," IEEE Int. Conf. on Shape Modelling and Applications , Beijing, China, 26-28 June 2009, pp. 103-110.
  • [62] A. Doshi, A.G. Bors, "Anisotropic fluid solver for robust optical flow smoothing," Proc. Workshop on Image Analysis for Multimedia Interactive Services (WIAMIS), , 6-8 May 2009, London, UK pp. 117-120
  • [61] A.G. Bors, N. Nasios, "Kernel Bandwidth Estimation in Methods based on Probability Density Function Modelling," Proc. Int. Conference on Pattern Recognition, Tampa, FL, USA, 12-15 Oct. 2008, pp. 3354-3357.
  • [60] M. Grum, A.G. Bors, "Enforcing image consistency in multiple 3-D object modelling," Proc. Int. Conference on Pattern Recognition, Tampa, FL, USA, 12-15 Oct. 2008, pp. 132-135.
  • [59] M. Luo, A.G. Bors, "Principal component analysis of spectral coefficients for mesh watermarking," Proc. IEEE Inter. Conf. on Image Processing, San Diego, CA, USA, 12-15 Oct. 2008, pp. 441-444.
  • [58] M. Grum, A.G. Bors "Multiple image disparity correction for 3-D scene representation," Proc. IEEE Inter. Conf. on Image Processing, San Diego, CA, USA, 12-15 Oct. 2008, pp. 209-212.
  • [57] M. Grum, A.G. Bors "Refining implicit function representations of 3-D scenes," Proc. British Machine Vision Conference Warwick, UK, 10-13 Sep. 2007, vol. II, pp. 710-719.
  • [56] A. Doshi, A.G. Bors,"Navier-Stokes formulation for modelling turbulent optical flow," Proc. British Machine Vision Conference, Warwick, UK, 10-13 Sep. 2007, vol. II, pp. 640-649.
  • [55] W. Puech, J.M. Rodrigues, A.G. Bors, "Analysis and Cryptanalysis of a Selective Encryption Method for JPEG Images," Proc Workshop on Image Analysis for Multimedia Interactive Services (WIAMIS), paper # 77, pages 77.1-77.4, 6-8 June 2007, Santorini, Greece.
  • [54] M. Grum, A.G. Bors, "3-D scene modelling from multiple images using radial basis function networks," Proc. IEEE Workshop on Machine Learning for Signal Processing, 27-29 Aug. 2007, Thessaloniki, Greece, pp. 105-110.
  • [53] A. Doshi, A.G. Bors,"Structural flow smoothing for shape interpolation," Proc. Int. Conference on Pattern Recognition, Hong Kong, 20-24 Aug. 2006, vol. III, pp. 11-14.
  • [52] A. Doshi, A.G. Bors,"Robust diffusion kernels for optical flow smoothing," Proc. IEEE Workshop on Machine Learning for Signal Processing, Maynooth, Ireland, Sep. 6-8 2006, pp. 415-420.
  • [51] N. Nasios, A.G. Bors,"Scale estimation for kernel-based classification," Proc. IEEE Workshop on Machine Learning for Signal Processing, Maynooth, Ireland, Sep. 6-8 2006, pp. 217-222.
  • [50] J.M. Rodrigues, W. Puech, A.G. Bors,"Selective encryption of human skin in image sequences" Proc. IEEE Inter. Conf. on Image Processing, Atlanta, GA, USA, Oct. 8-11, 2006, pp. 1981-1984.
  • [49] A. Doshi, A.G. Bors,"Robust diffusion of structural flows for volumetric image interpolation," Proc. IEEE Inter. Conf. on Image Processing, Atlanta, GA, USA, Oct. 8-11, 2006, pp. 1225-1228.
  • [48] J.M. Rodrigues, W. Puech, A.G. Bors,"A selective encryption for heterogenous color JPEG images based on VLC and AES stream cipher," IS&T European Conf. on Color in Graphics, Imaging and Vision, Leeds, UK, June 19-22 2006, pp. 34-39.
  • [47] N. Nasios, A.G. Bors,"Nonparametric clustering using quantum mechanics," Proc. IEEE Inter. Conf. on Image Processing, Genova, Italy, 11-14 Sep. 2005, vol. III, pp. 820-823.
  • [46] N. Nasios, A.G. Bors,"Variational segmentation of color images," Proc. IEEE Inter. Conf. on Image Processing, Genova, Italy, 11-14 Sep. 2005, vol. II, pp. 614-617.
  • [45] A. Doshi, A.G. Bors," `Optical flow diffusion with robustified kernels," Proc. 11th Inter. Conf. on Computer Analysis of Images and Patterns, Lecture Notes in Computer Science 3691, Versailles, France, 5-8 Sep. 2005, pp. 222-230.
  • [44]N. Nasios, A.G. Bors," `Finding the number of clusters for nonparametric segmentation," Proc. 11th Inter. Conf. on Computer Analysis of Images and Patterns, Lecture Notes in Computer Science 3691, Versailles, France, 5-8 Sep. 2005, pp. 213-221.
  • [43] A.G. Bors,"Watermarking 3D shapes using local moments," Proc. IEEE Inter. Conf. on Image Processing, Singapore, 24-27 Oct. 2004, vol. I, pp. 729-732.
  • [42] A.G. Bors,"Blind watermarking of 3D shapes using localized constraints," Proc. IEEE 2nd Inter. Symposium on 3D data processing, visualization and transmission, Thessaloniki, Greece, 6-9 Sep. 2004, pp. 242-249.
  • [41] N. Nasios, A.G. Bors," Segmentation of colour images using variational expectation-maximization algorithm," Proc. British Machine Vision Conference, Kingston, UK, 7-9 Sep. 2004, vol. II, pp. 707-716.
  • [40] N. Nasios, A.G. Bors," A variational approach for color image segmentation," Proc. International Conference on Pattern Recognition Cambridge, UK. 23-26 Aug. 2004, vol. I, pp. 680-683.
  • [39] N. Nasios, A.G. Bors," Variational expectation-maximization training for Gaussian networks," Proc. IEEE Workshop on Neural Networks for Signal Processing Toulouse, France, 17-19 Sep. 2003, pp. 339-348.
  • [38] N. Nasios, A.G. Bors," Variational Gaussian Mixtures for Blind Source Detection," Proc. IEEE Inter. Conf. Systems, Man and Cybernetics Washington D.C., U.S.A., 5-8 Oct. 2003, pp. 474-479.
  • [37] A. Robles-Kelly, A.G. Bors, E.R. Hancock," Surface acquisition from single gray-scale images," Proc. IEEE Inter. Conf. on Image Processing, Barcelona, Spain, 14-17 Sep. 2003, vol. III, pp. 721-724.
  • [36] N. Nasios, A.G. Bors," Blind source separation using variational expectation-maximization algorithm," Proc. 10th Inter. Conf. on Computer Analysis of Images and Patterns, Lecture Notes in Computer Science 2756, Groningen, Netherlands, 25-27 Aug. 2003, pp. 442-450.
  • [35] A.G. Bors, E.R. Hancock," Recovering height information from SAR images of terrain," Proc. IEEE Intern. Conf. on Image Processing, Rochester, NY, USA, 22-25 Sep. 2002, vol. II, pp. 477-480.
  • [34] T. Harte, A.G. Bors," Watermarking 3D Models," Proc. IEEE Intern. Conf. on Image Processing, Rochester, NY, USA, 22-25 Sep. 2002, vol. III, pp. 661-664.
  • [33] G.D.J. Smith, A.G. Bors," Height estimation from vector fields of surface normals," Proc. 14th Inter. Conference on Digital Signal Processing, Santorini, Greece, 1-3 July 2002, vol. II, pp. 1031-1034.
  • [32] T. Harte, A.G. Bors," Watermarking Graphical Objects," Proc. 14th Inter. Conference on Digital Signal Processing, Santorini, Greece, 1-3 July 2002, vol. II, pp. 709-712.
  • [31] L. Kechagias, A. G. Bors and I. Pitas, "Virtual Drilling-Sculpturing in 3D Volumes," Proc. 23rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society ( EMBC2001), vol. III, Istanbul, Turkey, 25-28 October 2001, pp. 2513-2516.
  • [30] A. Robles-Kelly, A.G. Bors, E.R. Hancock," Hierarchical iterative eigendecomposition for motion segmentation," Proc. IEEE Inter. Conf. on Image Processing, Thessaloniki, Greece, 7-10 Oct. 2001, vol. II, pp. 363-366.
  • [29] C.D. Coltman, A.G. Bors, "Hierarchical watermarking depending on local constraints," Proc. IEEE Inter. Conf. on Image Processing, Thessaloniki, Greece, 7-10 Oct. 2001, vol. III, pp. 1011-1014.
  • [28] A.G. Bors, L. Kechagias, I. Pitas," Shape-based interpolation using morphological morphing," Proc. IEEE Inter. Conf. on Image Processing, Thessaloniki, Greece, 7-10 Oct. 2001, vol. II, pp. 161-164.
  • [27] L. Kechagias, A.G. Bors, I. Pitas, "Virtual drilling in 3-D volumes," Proc. Inter. Conf. on Augmented, Virtual Environments and three dimensional imaging, Mykonos, Greece, May 30-June 1 2001, pp. 181-183.
  • [26] A.G. Bors, L. Kechagias, I. Pitas, "Virtual drilling in 3-D objects reconstructed by shape-based interpolation," Proc. 4th Inter. Workshop on Visual Form, Lecture Notes in Computer Science 2059, Capri, Italy, May 2001, pp. 729-738.
  • [25] A. G. Bors, E. R. Hancock and R. C. Wilson, "Terrain feature identification by modeling radar image statistics," Proc. IEEE Int. Conference on Image Processing (ICIP'00), vol. I, pp. 721-724, Vancouver, Canada, Sep. 10 - 13, 2000.
  • [24] A. G. Bors, E. R. Hancock and R. C. Wilson, "Terrain feature classification in SAR imagery," Proc. European Signal Processing Conference (EUSIPCO'00), vol. IV, pp. 2169-2172, Tampere, Finland, 5-8 Sep. 2000.
  • [23] A. G. Bors, E. R. Hancock and R. C. Wilson, "Terrain Modeling in Synthetic Aperture Radar Images using Shape-from-Shading," Proc. International Conference on Pattern Recognition, (ICPR'00) vol. I, pp. 798-801, Barcelona, Spain, Sep. 3-8 2000.
  • [22] A. G. Bors, E. R. Hancock and R. C. Wilson, "3-D Terrain from Synthetic Aperture Radar Images," Proc. IEEE Workshop on Computer Vision Beyond the Visible Spectrum: Methods and Applications, pp. 63-72, Hilton Head Island, South Carolina, June 16 2000.
  • [21] A. G. Bors, E. R. Hancock and R. C. Wilson, "A Bayesian Framework for Radar Shape-from-shading," Proc. IEEE Int. Conference on Computer Vision and Pattern Recognition, (CVPR'00) vol. I, pp. 262-268, Hilton Head Island, South Carolina, June 13-15, 2000.
  • [20] A. G. Bors, I. Pitas, "Motion and Segmentation Prediction in Image Sequences Based on Moving Object Tracking," IEEE Int. Conference on Image Processing (ICIP'98), Chicago, Illinois, USA, pp. 663-667, vol III, 4-7 October 1998.
  • [19] V. Chatzis, A.G. Bors and I. Pitas, "Decision Level Fusion by Clustering algorithms for Person Authentication," European Signal Processing Conference (EUSIPCO'98), Rhodes, Greece, pp. 1309-1312, vol. III, 8-11 Sep. 1998.
  • [18] A. G. Bors, I. Pitas, "Object segmentation in 3-D images based on alpha-trimmed mean radial basis function network," European Conference on Signal Processing (EUSIPCO'98), Rhodes, pp. 1093-1096, vol. II, Greece, 8-11 Sep. 1998.
  • [17] A. G. Bors, I. Pitas, "Object segmentation and modeling in volumetric images," Noblesse Workshop on Non-Linear Model Based Image Analysis, Glasgow, U.K., pp. 295-300, 1-3 July 1998.
  • [16] G. Voyatzis, G. Angelopoulos, A. Bors, I. Pitas, " A system for capturing high resolution images ," Conference on Technology and Automatics, Thessaloniki, Greece, pp. 238-242, 2-3 October 1998.
  • [15] W. Puech , A. Bors, J-M. Chassery and I. Pitas, " Mosaique de Peintures sur cylindres generalises uniformes a axe droit," 16th GRETSI Symposium on Signal and Image Processing, Grenoble, France, pp. 427-430, 15-19 September 1997 (in French).
  • [14] I. Pitas, C. Kotropoulos, N. Nikolaidis and A.G. Bors, " Robust and Adaptive Techniques in Self-Organising Neural Networks, " Nonlinear Analysis, Theory, Methods & Applications, vol. 30, No. 7, Proc. 2nd World Congress of Nonlinear Analysts , Athens, Greece, pp. 4517-4528, 1997.
  • [13] A. G. Bors, I. Pitas, "Alpha-trimmed Mean Radial Basis Functions and their Application in Object Modeling," CD-ROM Proc of the IEEE/EURASIP Workshop on Nonlinear Signal and Image Processing (NSIP'97), vol. 1, paper # 211, Mackinac Island, Michigan, USA, 7-11 September 1997.
  • [12] A. G. Bors, W. Puech, I. Pitas, J.-M. Chassery "Mosaicing of Flattened Images From Straight Homogeneous Generalized Cylinders," Lecture Notes in Computer Science, vol. 1296, 7th International Conference on Computer Analysis of Images and Patterns , G. Sommer, K. Daniilidis, J. Pauli (Eds.), Kiel, Germany, pp. 122-129, 10-12 September 1997.
  • [11] A. G. Bors, I. Pitas, "Moving Scene Segmentation using Median Radial Basis Function Network," IEEE Symposium on Circuits and Signals (ISCAS'97), Hong Kong, vol. I, pp. 529-532, 9-12 June 1997.
  • [10] A. G. Bors, W. Puech, I. Pitas, J.-M. Chassery "Perspective Distortion Analysis for Mosaicing Images Painted on Cylindrical Surfaces," IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP'97), Munich, Germany, vol. 4, pp. 3049-3052, 20-24 Apr. 1997.
  • [9] W. Puech, J.-M. Chassery , A.G. Bors, I. Pitas "Mosaicing of Paintings on Curved Surfaces," 3rd IEEE Workshop on Applications of Computer Vision, Sarasota, USA, pp. 44-49, 2-4 Dec. 1996.
  • [8] A. G. Bors and I. Pitas,"Image Watermarking Using DCT Domain Constraints," 3rd IEEE International Conference on Image Processing (ICIP'96), Lausanne, Switzerland, pp. II-231 - II-234, Sep. 1996.
  • [7] A. G. Bors and I. Pitas, "Embedding Parametric Digital Signatures in Images," European Conference on Signal Processing (EUSIPCO'96), Trieste, Italy, pp. 1701-1704, Sep. 1996.
  • [6] A. G. Bors and I. Pitas,"Moving Object Recognition Based on Radial Basis Functions Networks," 9th Image and Multidimensional Signal Processing Workshop, Belize City, Belize, pp. 34-35, Mar. 1996.
  • [5] A. G. Bors and I. Pitas, "Segmentation and Estimation of the Optical Flow," Inter. Conf. of Computer Analysis of Images and Patterns, Lecture Notes in Computer Science 970,, Prague, Czech Rep., pp. 680-685, Sep. 1995.
  • [4] A. G. Bors and I. Pitas, " Median Radial Basis Functions Network for Motion Field Processing," Proc. of IEEE Workshop on Nonlinear Signal and Image Processing, I. Pitas (Ed.), Neos Marmaras, Greece, pp. 702-705, June 1995.
  • [3] A. G. Bors and I. Pitas, " Robust estimation for radial basis functions," Proc. of IEEE Workshop Neural Networks for Signal Processings, Ermioni, Greece, pp. 105-114, Sep. 1994.
  • [2] A. G. Bors and M. Gabbouj, "Quadrature Modulated Signal Detection Based on Gaussian Neural Networks ," Proc. of IEEE Workshop Visual Signal Processing and Communications, Melbourne, Australia, pp. 113-116, Sep. 1993.
  • [1] A. G. Bors and M. Gabbouj, "Optimum structure for a radial basis functions based equalizer," Proc. of IEEE Workshop on Nonlinear Signal Processing, Tampere, Finland, pp. 6.2-7.1 - 6.2-7.6, Jan. 1993.


    Theses

  • A.G. Bors, PhD thesis "Radial Basis Function Network robust learning algorithms in computer vision applications," Department of Informatics, Aristotle University of Thessaloniki, Thessaloniki, Greece, Dec. 1998.
  • A. G. Bors, MSc thesis "Nonlinear neural networks," Department of Electronics and Telecommunications, Polytechnic University of Bucharest, Bucharest, Romania,June 1992.


    On-line Papers

  • [1] I. Pitas, C. Kotropoulos, N. Nikolaidis and A.G. Bors, "Robust and Adaptive Training Algorithms in Self-Organizing Neural Networks," Electronic Imaging, SPIE Web OE Reports, vol. 5, no. 2, March 1997.
  • [2] N. Nasios, A. G. Bors, "Segmentation of Colour Images Using Variational Expectation-Maximization Algorithm," SME Technical Paper TP05PUB25, Society of Manufacturing Engineers, Dearborn, Michigan, 2005.


    Other Publications and Presentations

  • [1] A.G. Bors, I. Pitas, "RBF networks in moving object segmentation," Nonlinear Methods in Model-Based Image Interpretation NOBLESSE Workshop , Lausanne, Switzerland, September 20, 1996.
  • [2] A.G. Bors, M. Pappas, I. Pitas, Radial Basis Function Neural Network , Seminar of the "Neuron" group , Thessaloniki, Greece, 13 October 1997.
  • [3] A.G. Bors, I. Pitas, S. Marsi, G. Ramponi, Noblesse Newsletter, Esprit LTR 20229, no. 5, Dec. 1998.


    Home