Research interests:


Movement estimation and tracking leading to understanding

Selected Papers

  • [9] 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.
  • [8] 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
  • [7] 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.
  • [6] 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.
  • [5] 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.
  • [4] 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.
  • [3] 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.
  • [2] 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.
  • [1] 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.


    3D Information Hiding and 3D Steganalysis

    Selected Papers

  • [9] Z. Li, D. Gong, F. Liu, A. G. Bors, "3D Setganalysis using the Extended Local Feature Set," Proc. IEEE Int. Conf. on Image Processing, 2018.
  • [8] Z. Li, A. G. Bors, "Steganalysis of 3D objects using statistics of local feature sets," Information Sciences, vol. 415, pp. 85-99, Nov. 2017
  • [7] 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.
  • [6] 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.
  • [5] 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.
  • [4] 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.
  • [3] 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.
  • [2] 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.
  • [1] 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.


    Image perception, retrieval and classification from images

    Selected Papers

  • VISual Memory SCHEMA , E. Akagunduz, A. G. Bors, K. Evans, A study for learning the image memories of people
  • [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] 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.
  • [2] 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.
  • [1] 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.


    3D Modelling from Images

    Selected Papers

  • [6] M. Grum, A. G. Bors, "3D modeling of multiple-object scenes from sets of images," Pattern Recognition, vol. 47, pp. 326-343, Jan. 2014.
  • [5] 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.
  • [4] 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.
  • [3] 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.
  • [2] 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.
  • [1]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.


    Computational Intelligence in Computer Vision

    Selected Papers

  • [7] 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.
  • [6] 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.
  • [5] N. Nasios, A. G. Bors, "Kernel-based classification using quantum mechanics," Pattern Recognition, vol. 40, no. 3, pp. 875-889, Mar. 2007.
  • [4] 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.
  • [3]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.
  • [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.



    PhD Graduates:

    Dr. Zhenyu Li

    Thesis: "Steganalytic Methods for 3D objects"

    Journal Papers

    Steganalysis of 3D objects using statistics of local feature sets, Information Sciences, 2017.

    Selected Conference Papers

    3D Setganalysis using the Extended Local Feature Set, ICIP'2018.

    Rethinking the High Capacity 3D Steganography: Increasing its Resistance to Steganalysis, ICIP'2017.

    Selection of robust features for the Cover Source Mismatch problem in 3D steganalysis, ICPR'2016.

    3D Mesh Steganalysis using local shape features, ICASSP'2016.


    Dr. Kyle Stephens

    Thesis: "Human and Group Activity Recognition from Video Sequences"

    Journal Paper

    Modelling of interactions for the recognition of activities in groups of people, Digital Signal Processing, 2018.

    Selected Conference Papers

    Recognizing Interactions Between People from Video Sequences, CAIP'2017.

    Human Group Activity Recognition based on Modelling Moving Regions Interdependencies, ICPR'2016.

    Group Activity Recognition on Outdoor Scenes, IEEE Int. Conf. on Advanced Video and Signal-based Surveillance (AVSS), 2016.

    Observing human activities using movement modelling, IEEE Int. Conf. on Advanced Video and Signal-based Surveillance (AVSS), 2015.


    Dr. Ming Luo

    Thesis: "Robust and blind 3D watermarking"

    Journal Papers

    Optimized 3D Watermarking for Minimal Surface Distortion, IEEE Trans on Image Processing, 2013.

    Surface-preserving watermarking of 3-D shapes, IEEE Trans on Image Processing, 2011.

    Selected Conference Papers

    Watermark Optimization of 3D Shapes for Minimal Distortion and High Robustness, CAIP'2013.

    Minimal distortion 3-D watermarking using statistics of geodesic distances, Eusipco'2012.

    Blind and robust mesh watermarking using manifold harmonics, ICIP'2009.

    Shape watermarking based on minimizing the quadric error metric, IEEE Int. Conf. on Shape Modelling and Applications, 2009.

    Principal component analysis of spectral coefficients for mesh watermarking, ICIP'2008.


    Dr. Matthew Grum

    Thesis: "3-D reconstruction of multi-object scenes from multiple images"

    Journal Paper

    3D modeling of multiple-object scenes from sets of images, Pattern Recognition, 2014.

    Selected Conference Papers

    Enforcing Consistency of 3D Scenes with Multiple Objects Using Shape-from-Contours, CAIP'2013.

    3D scene correction using disparities with its projections, IEEE Workshop on Image, Video and Multidimensional Singal Processing '2013, Best Paper Award.

    Enforcing image consistency in multiple 3-D object modelling, ICPR'2008.

    Multiple image disparity correction for 3-D scene representation, ICIP'2008.

    Refining implicit function representations of 3-D scenes, BMVC'2007.


    Dr. Ashish Doshi

    Thesis: "Robust nonlinear diffusion of vector fields"

    Journal Papers

    Robust processing of optical flow of fluids, IEEE Trans. on Image Processing, 2010.

    Smoothing of optical flow using robustified diffusion kernels, Image and Vision Computing, 2010.

    Selected Conference Papers

    Detecting vorticity in optical flows of fluids, ICPR'2010.

    Navier-Stokes formulation for modelling turbulent optical flow, BMVC'2007.

    Robust diffusion of structural flows for volumetric image interpolation, ICIP'2006.

    Structural flow smoothing for shape interpolation, ICPR'2006.

    Optical flow diffusion with robustified kernels,, CAIP'2005.


    Dr. Nikolaos Nasios

    Thesis: "Bayesian learning for parametric and kernel density estimation"

    Journal Papers

    Kernel bandwidth estimation for nonparametric modelling, IEEE Trans. on Systems, Man and Cybernetics, Part B: Cybernetics, 2009.

    Kernel-based classification using quantum mechanics, Pattern Recognition, 2007.

    Variational learning of Gaussian mixture models, IEEE Trans. on Systems, Man and Cybernetics, Part B: Cybernetics, 2006.

    Selected Conference Papers

    Bayesian estimation of kernel bandwidth for nonparametric modelling, ICANN'2009.

    Kernel Bandwidth Estimation in Methods based on Probability Density Function Modelling, ICPR'2008.

    Nonparametric clustering using quantum mechanics, ICIP'2005.

    Variational segmentation of color images, ICIP'2005.

    Finding the number of clusters for nonparametric segmentation, CAIP'2005.

    A Variational Approach for Color Image Segmentation, ICPR'2004.

    Blind source separation using variational expectation-maximization algorithm, CAIP'2003.


    MSc. by Research

  • Sravan Kumar Gudivada

    Thesis: "Applications of Diffusion Wavelets"

    Journal Paper

    "Ortho-diffusion decompositions of graph-based representation of images," Pattern Recognition, 2015.

    Conference Papers

    Ortho-diffusion decompositions for face recognition from low quality images, ICIP'2015

    Robust Learning from Ortho-Diffusion Decompositions,CAIP'2015

    Orthonormal Diffusion Decompositions of Images for Optical Flow Estimation, CAIP'2013

  • Szymon Wartak

    Thesis: "Dense Optical Flow Estimation using Diffusion Distances"

    Conference Paper

    Optical flow estimation using diffusion distances, ICPR'2010.


    Postgraduate Examinator

    I was a PhD external examiner at the University of Birmingham, Imperial College London, University of Exeter, University of Bradford, Tampere University of Technology (Finland), Dublin City University (Ireland), and a member of the PhD examination committee at University of Montpellier II (France).

    I examined MSc by research at the University of Bristol and University of Warwick.


    Prospective PhD Students:

    I am always happy to discuss with prospective PhD students about their study in one of the research topics in my areas of interests.


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