Google Scholar .



    Recent Publications

  • Geiger, D.; Kedem, Z.M. On Quantum Entropy . Entropy 2022, 24, 1341. https://doi.org/10.3390/e24101341

  • Geiger, D.; Kedem, Z.M. Spin Entropy . Entropy 2022, 24, 1292. https://doi.org/10.3390/e24091292.



    • Publications before 2020

  • D. Geiger and Z. Kedem (2018). Quantum Inference and Shape Detection. IEEE Energy minimization method in computer vision and pattern recognition 2017, Venice, Italy, October 30-November 2, 2017. Journal Publication, Springer Verlag publisher.

  • M. Cicconet, V. Birodkar, M. Lund, M. Werman, and D. Geiger (2017). A Convolutional Approach to Reflection Symmetry. Pattern Recognition Letters, Elsevier. August, 2017.

  • Tsung-Wei Ke; Che-Wei Lin, Tyng-Luh Liu1(B); and Davi Geiger (2016). Variational Convolutional Networks for Human-Centric Annotations. The 13th Asian Conference on Computer Vision (ACCV), Taipei, Taiwan.

  • M. Cicconet, D. Geiger, and M. Werman (2015). Complex-Valued Hough Transforms for Circles. In the IEEE 22nd International Conference in Image Processing (ICIP), Quebec City, Canada. Oral presentation and chosen as top 10$\%$ best papers of the conference.

  • M. Cicconet, K. Gunsalus, D. Geiger, and M. Werman (2014). Ellipses from Triangles, In Proceedings of the 21st IEEE International Conference in Image Processing (ICIP), pp: 3626-3630, Paris, France.

  • M. Cicconet, D. Geiger, K. Gunsalus, and M. Werman(2014) Mirror Symmetry5271 Histograms for Capturing Geometric Properties in Images . In Proceedings of the 23rd IEEE Conference on Computer Vision and Pattern Recognition, Columbus.

  • M. Cicconet, K. Gunsalus, D. Geiger, and M. Werman (2014). Shape statistics for cell division detection in time-lapse videos of early mouse embryo. In Proceedings of the 21st IEEE International Conference in Image Processing (ICIP), pp:3622-3625. Paris, France.

  • M. Cicconet, M. Gutwein, K.C. Gunsalus, and D. Geiger (2014). Label free cell-tracking and division detection based on 2D time-lapse images for lineage analysis of early embryo development, Computers in biology and medicine,vol:51, pp: 24-34.

  • H. Ishikawa and D Geiger (2006). Illusory volumes in human stereo perception, Vision Research,vol:46, Issues 1–2, pp: 171-178.



    • Publications before 2000

  • D. Geiger, T-L. Liu, and M. Donahue (1999). Sparse Representations for Image Decomposition. Intl. Journal of Comp. Vision, Vol. 33, (2), September.

  • L. Parida and D. Geiger (1999). Mass Estimation of DNA Molecules and Extraction of Ordered Restriction Maps in Optical Mapping Imagery. In press at the Special Issue on Biological Computation, Algorithmica.

  • D. Geiger, K. Kumaran, H-K. Pao, and N. Rubin (1999). The Shape of Illusory Figures. Proc. of IEEE Intl. Conf. on Image Processing (ICIP’99), Kobe, Japan.

  • H-K. Pao, D. Geiger, and N. Rubin (1999). Measuring Convexity for Figure-Ground Separation. 8 pages postscript . Proc. of 7th IEEE Intl. Conf. on Comp. Vision (ICCV’99), Kerkyra, Greece. Copyright 1998 IEEE.

  • T-L. Liu and D. Geiger (1999). Approximate Tree Matching and Shape Similarity. 7 pages postscript . Proc. of 7th IEEE Intl. Conf. on Comp. Vision (ICCV’99), Kerkyra, Greece. Copyright 1998 IEEE.

  • H. Ishikawa and D. Geiger (1999). Mapping Image Restoration to a Graph Problem. Proc. of IEEE-EURASIP Workshop on Nonlinear Signal and Image Processing (NSIP’99), Turkey.

  • L. Parida, D. Geiger, and R. Hummel (1998). Junctions: Detection, Classification, and Reconstruction. 27 pages postscript . IEEE Trans. On Pattern Analysis and Machine Intelligence, Vol. 20, No. 7. Copyright 1998 IEEE.

  • D. Geiger, H-K. Pao, and N. Rubin (1998). Organization of Multiple Illusory Surfaces. 7 pages postscript . Proc. of the IEEE Comp. Vision and Pattern Recognition, Santa Barbara. Copyright 1998 IEEE.

  • H. Ishikawa and D. Geiger (1998). Segmentation by Grouping Junctions. 7 pages postscript . Proc. of the IEEE Comp. Vision and Pattern Recognition, Santa Barbara. Copyright 1998 IEEE.

  • H. Ishikawa and D. Geiger (1998). Occlusions, Discontinuities, and Epipolar Lines in Stereo. 14 pages postscript . Proc. of European Conf. on Comp. Vision, Freiburg, Germany.

  • T-L. Liu, D. Geiger, and A. Yuille (1998). Segmentation by Seeking the Symmetry Axis. Proc. of Intl. Conf. on Pattern Recognition, Sidney, Australia.

  • B. Baldwin, D. Geiger, and R. Hummel (1998). Resolution-Appropriate Shape Representation. Proc. of 6th IEEE Intl. Conf. on Comp. Vision, Bombay, India.

  • T-L. Liu, D. Geiger, and R. Kohn (1998). Representation and Self-Similarity of Shapes. 7 pages postscript . Proc. of 6th IEEE Intl. Conf. on Comp. Vision, Bombay, India. Copyright 1998 IEEE

  • R. Basri, L. Costa, D. Geiger, and D. Jacobs (1998). Determining the Similarity of Deformable Shapes, Vision Research. Vol. 38.

  • D. Geiger, A. Rudra, and L. Maloney (1997). Features as Sufficient Statistics. 7 pages postscript . Proc. of Neural Information Processing Systems. Colorado.

  • L. Parida, D. Geiger, and R. Hummel (1997). Kona: A Multijunction Detector Using the Minimum Description Length. 14 pages postscript . Proc. of Intl. Conf. On Energy Function Minimization, Venice, Italy.

  • D. Geiger and T-L. Liu (1996). Recognizing Articulated Objects with Information Theoretic Methods. Proc. of Intl. Conf. on Automatic Face and Gesture Recognition, Vermont.

  • T-L. Liu, M. Donahue, D. Geiger, and R. Hummel (1996). Image Recognition with Occlusions. 8 pages postscript. Proc. of 4th European Conf. on Comp. Vision. Cambridge, UK.

  • D. Geiger and K. Kumaran (1996). Visual Organization of Illusory Surfaces. Proc. of 4th European Conf. on Comp. Vision. Cambridge, UK.

  • D. Geiger, T-L. Liu, M. Donahue, and R. Hummel (1996). Sparse Representations for Image Decomposition. Proc. of the IEEE Conf. on Comp. Vision and Pattern Recognition, San Francisco.

  • D. Geiger, K. Kumaran and L. Parida (1996). A Computational View of Visual Organization for Figure/Ground Separation. 6 pages postscript . Proc. of the IEEE Conf. on Comp. Vision and Pattern Recognition , San Francisco.

  • K. Kumaran, D. Geiger, and L. Gurvits (1996). Illusory Surfaces. Network: Computation in Neural Systems, Vol. 7.

  • D. Geiger, B. Ladendorf, and A. Yuille (1995). Occlusions and Binocular Stereo. 48 pages postscript Proc. of Intl. Journal of Comp. Vision, Vol. 14.

  • D. Geiger, A. Gupta, L.A. Costa, and J. Vlontzos (1995). Dynamic Programming for Detecting, Tracking and Matching Elastic Contours. IEEE Trans. On Pattern Analysis and Machine Intelligence, Vol. 17.

  • D. Geiger, L. Maloney, and K. Kumaran (1995). Stereo Vision via Markov Models. 10 pages postscript . Proc. of Allerton Conference in Computer Science , Illinois.

  • A. Yuille and D. Geiger (1995). Winer-take-all Mechanisms. Chapter on The Handbook of Brain Theory & Neural Networks. MIT Press. Edited by M. Arbib, Cambridge, MA, 1995.

  • D. Geiger, R. Hummel, B. Baldwin, T-L. Liu, and L. Parida (1995). Feature Transform for ATR Image Decomposition. Proc. of Aero-SPIE, Florida.

  • D. Basri, L. Costa, D. Geiger, and D. Jacobs (1995). On Determining Shape Similarity. 10 pages postscript. Proc. of IEEE Workshop on. Shape Analysis, Boston.Copyright 1998 IEEE

  • A. Lorenzch, A. Gupta, D. Geiger, A. Singh, and S. Lorenz. (1995). Evaluation of Left Ventricular Diastolic Function in Pulmonary Hypertension with Cine MRI. Proc. of RSNA.

  • D. Geiger and A. Gupta (1994). Detecting and Tracking the Left and Right Heart Ventricles via Dynamic Programming. Proc. of SPIE Medical applications, San Diego.

  • D. Geiger and K. Diamantaras (1994). Occlusions and Motion Ambiguities. Proc. of 3rd European Conf. on Comp. Vision, Stockholm, Sweden.

  • R. Aufrichtig, D. Geiger, A. Singh, and D. Wilson (1993). Spatio-Temporal X-ray Fluoroscopy Filtering Using Object Detection. Proc. of Computers in Cardiology, London, UK.

  • A. Gupta, L Von Kurowski, A. Singh, D. Geiger, C-C Liang, M-Y Chiu, L.P. Adler, M. Haacke, and D. Wilson (1993). Cardiac MR Image Segmentation Using Deformable Models. Proc. of Computers in Cardiology, London, UK.

  • K. Diamantaras and D. Geiger (1993). On Motion Ambiguities. Proc. of Conf. in Neural Information Processing Systems, Denver.

  • D. Geiger and J. Kogler (1993). Scaling Images and Image Features via the Renormalization Group. Proc. of the IEEE Conf. on Comp. Vision and Pattern Recognition, New York.

  • D. Geiger and J. Vlontzos (1993). Matching Elastic Contours. Proc. of the IEEE Conf. on Comp. Vision and Pattern Recognition, New York.

  • A. Yuille, L. Vincent and D. Geiger (1993). Statistical Morphology and Bayesian Reconstruction. Journal of Mathematical Imaging and Vision, Vol. 1.

  • D. Geiger, B. Ladendorf, and A. Yuille (1992). Binocular Stereo with Occlusions. Proc. of 2nd European Conf. on Comp. Vision, Santa Margarita, Italy.

  • A. Yuille, D. Geiger, and H. Bulthoff (1991). Stereo, Mean Field Theory and Psychophysics. Network: Computation in Neural Systems. Vol. 2.

  • D. Geiger and A. Yuille (1991). A Common Framework for Image Segmentation. Intl. Journal of Computer Vision. Vol. 6, (3.)

  • D. Geiger and F. Girosi (1991). Parallel and Deterministic Algorithms from Mrfs: Surface Reconstruction. IEEE Trans. On Pattern Analysis and Machine Intelligence, Vol. 13.

  • D. Geiger and R. Pereira (1991). Learning How to Teach or Minimally Representing Surfaces. Proc. of Conf. in Neural Information Processing Systems, Denver.

  • A. Yuille, L. Vincent, and D. Geiger (1991). Statistical Morphology. Proc. SPIE ``Image Algebra and Morphological Image Processing II'', San Diego.

  • D. Geiger and R. Pereira (1991). The Outlier Process. Proc. of IEEE Workshop on Neural Networks for Signal Processing, Princeton.

  • D. Geiger and R. Pereira (1991). On ``Intelligent'' Sparse Data. Artificial Intelligence and Comp. Vision. Y.A. Feldman and A. Bruckstein (Editors). Elsevier Science.

  • J. Zerubia and D. Geiger (1991). Line Segmentation Using 4 Direction Line-Processes and Winner-take-all, Artificial Neural Networks, T. Kohonen et al. (Editors). Elsevier Science.

  • A. Yuille and D. Geiger (1990). Stereopsis and Controlled Movement, Intl. Journal of Computer Vision, Vol. 4.

  • D. Geiger (1990). A Tutorial on Computer Vision. Proc. of IEEE Conf. on Visual Computation, Sao Paulo, Brazil.

  • A. Yuille, D. Geiger and H. Bulthoff (1990). Stereo, Mean Field Theory and Psychophysics. Proc. of 1st European Conf. on Comp. Vision, Antibe, France.

  • D. Geiger and A. Yuille (1990). A Common Framework for Image Segmentation. Proc. of Intl. Conf. on Pattern Recognition. Atlantic City.

  • E. Gamble, D. Geiger, T. Poggio, and D. Weinshall (1989). Integration of Vision Models and Labeling of Surface Discontinuities, IEEE Trans. Systems, Man & Cybernetics. Nov./Dec.

  • D. Geiger and A. Yuille (1989). Stereopsis and Eye Movement, Biological Cybernetics, Vol. 62.

  • D. Geiger and F. Girosi (1989). Coupled Markov Random Fields and Mean Field Theory. Proc. of Conf. in Neural Information Processing Systems, Denver.

  • D. Bennett, J. Hollerbach, and D. Geiger (1989). Autonomous Robot Calibration for Hand-Eye Coordination. Proc. of the Fifth Intl. Symposium on Robotics Research, Tokyo, Japan.

  • D. Geiger and F. Girosi (1989). Mean Field Theory and Surface Reconstruction. Proc. of Image Understanding Workshop, San Francisco.

  • D. Geiger and D. Weinshall (1988). Labeling Edges with a Linear Network: An Integration of Low-Level Vision Modules, Proc. of Intl. Neural Network Soc. Annual Meeting, Boston.

  • D. Geiger and A. Yuille (1987). Stereopsis and Eye Movement. Proc. of 1st IEEE Intl. Conf. on Comp. Vision, London, UK.

  • D. Geiger and T. Poggio (1987). Level Crossing and the Panum Area. Proc. of The Workshop on Comp. Vision, Miami.

  • D. Geiger and T. Poggio (1987). An Optimal Scale for Edge Detection. Proc. of The Intl. Joint Conf. of Artificial Intelligence, Milan, Italy.