Nir Sochen

Professor

1989 …2023

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  • 2019

    Using computational optics for agricultural monitoring with an emphasis on irrigation management zones

    Klapp, I., Brand, O., Yafin, P., Papini, S., Oz, N., Bahat, I., Cohen, Y., Alchanatis, V. & Sochen, N., 2019, Precision Agriculture 2019 - Papers Presented at the 12th European Conference on Precision Agriculture, ECPA 2019. Stafford, J. V. (ed.). Wageningen Academic Publishers, p. 665-671 7 p. (Precision Agriculture 2019 - Papers Presented at the 12th European Conference on Precision Agriculture, ECPA 2019).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  • 2018

    Sampling Technique for Defining Segmentation Error Margins with Application to Structural Brain Mri

    Hamu Goldberg, H. B., Mushkin, J., Raviv, T. R. & Sochen, N., 29 Aug 2018, 2018 IEEE International Conference on Image Processing, ICIP 2018 - Proceedings. IEEE Computer Society, p. 734-737 4 p. 8451505. (Proceedings - International Conference on Image Processing, ICIP).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  • Segmentation of macrophomina in aerial imagery of a cotton field

    Sapir, O., Klapp, I., Niv, A., Axelrod, M. & Sochen, N., 2018, Optics and Photonics for Energy and the Environment, EE 2018. Optica Publishing Group (formerly OSA), (Optics InfoBase Conference Papers; vol. Part F118-EE 2018).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  • 2017

    A method for radar detection and range-doppler estimation

    Ferdman, Y., Yekutieli, D. & Sochen, N., 28 Jun 2017, 2017 IEEE International Conference on Microwaves, Antennas, Communications and Electronic Systems, COMCAS 2017. Institute of Electrical and Electronics Engineers Inc., p. 1-6 6 p. (2017 IEEE International Conference on Microwaves, Antennas, Communications and Electronic Systems, COMCAS 2017; vol. 2017-November).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  • Blind space-variant single-image restoration of defocus blur

    Bar, L., Sochen, N. & Kiryati, N., 2017, Scale Space and Variational Methods in Computer Vision - 6th International Conference, SSVM 2017, Proceedings. Lauze, F., Dong, Y. & Dahl, A. B. (eds.). Springer Verlag, p. 109-120 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10302 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  • Localization of mealybug in remotely sensed images of a cotton field

    Klapp, I., Sapir, O., Niv, A., Axelrod, M. & Sochen, N., 2017, Optics and Photonics for Energy and the Environment, EE 2017. Optica Publishing Group (formerly OSA), (Optics InfoBase Conference Papers; vol. Part F65-EE 2017).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  • Sparse representation for white matter fiber compression and calculation of inter-fiber similarity

    Moreno, G. Z., Alexandroni, G., Sochen, N. & Greenspan, H., 2017, Computational Diffusion MRI - MICCAI Workshop. Fuster, A., Rathi, Y., Reisert, M., Kaden, E. & Ghosh, A. (eds.). Springer Heidelberg, p. 133-143 11 p. (Mathematics and Visualization).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  • 2016

    Calibrating Uncooled Micro-bolometer FPA By lenses

    Papini, S., Klapp, I. & Sochen, N., 2016, Optics and Photonics for Energy and the Environment, E2 2016. Optica Publishing Group (formerly OSA), EW3A.6. (Optics InfoBase Conference Papers).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  • Coresets vs clustering: Comparison of methods for redundancy reduction in very large white matter fiber sets

    Alexandroni, G., Zimmerman Moreno, G., Sochen, N. & Greenspan, H., 2016, Medical Imaging 2016: Image Processing. Styner, M. A., Angelini, E. D. & Angelini, E. D. (eds.). SPIE, 97840A. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; vol. 9784).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  • 2013

    Incremental level set tracking

    Dekel, S., Sochen, N. & Avidan, S., 2013, Mathematics and Visualization. BreuB, M., Maragos, P. & Bruckstein, A. (eds.). Springer Heidelberg, p. 407-420 14 p. (Mathematics and Visualization; vol. 0).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  • 2012

    Deblurring space-variant blur by adding noisy image

    Klapp, I., Sochen, N. & Mendlovic, D., 2012, Scale Space and Variational Methods in Computer Vision - Third International Conference, SSVM 2011, Revised Selected Papers. p. 157-168 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 6667 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  • Equi-affine invariant geometries of articulated objects

    Raviv, D., Bronstein, A. M., Bronstein, M. M., Kimmel, R. & Sochen, N., 2012, Outdoor and Large-Scale Real-World Scene Analysis - 15th International Workshop on Theoretical Foundations of Computer Vision, Revised Selected Papers. p. 177-190 14 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 7474 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  • From high definition image to low space optimization

    Feigin, M., Feldman, D. & Sochen, N., 2012, Scale Space and Variational Methods in Computer Vision - Third International Conference, SSVM 2011, Revised Selected Papers. p. 459-470 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 6667 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  • Metric selection and diffusion tensor swelling

    Pasternak, O., Sochen, N. & Basser, P. J., 2012, New Developments in the Visualization and Processing of Tensor Fields. Laidlaw, D. H. & Vilanova, A. (eds.). 1 ed. Springer Heidelberg, p. 323-336 14 p. (Mathematics and Visualization).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  • Polyakov action on (ρ,G)-equivariant functions application to color image regularization

    Batard, T. & Sochen, N., 2012, Scale Space and Variational Methods in Computer Vision - Third International Conference, SSVM 2011, Revised Selected Papers. p. 483-494 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 6667 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  • The Beltrami-Mumford-Shah functional

    Sochen, N. & Bar, L., 2012, Scale Space and Variational Methods in Computer Vision - Third International Conference, SSVM 2011, Revised Selected Papers. p. 183-193 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 6667 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  • Uncertainty principles, minimum uncertainty samplings and translations

    Lantzberg, D., Lieb, F., Stark, H. G., Levie, R. & Sochen, N., 2012, Proceedings of the 20th European Signal Processing Conference, EUSIPCO 2012. p. 799-803 5 p. 6333912. (European Signal Processing Conference).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  • 2011

    Affine-invariant diffusion geometry for the analysis of deformable 3D shapes

    Raviv, D., Bronstein, M. M., Bronstein, A. M., Kimmel, R. & Sochen, N., 2011, 2011 IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2011. IEEE Computer Society, p. 2361-2367 7 p. 5995486. (Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  • 2010

    Piecewise smooth affine registration of point-sets with application to DT-MRI brain fiber-data

    Shadmi, R., Mayer, A., Sochen, N. & Greenspan, H., 2010, 2010 7th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2010 - Proceedings. p. 528-531 4 p. 5490292. (2010 7th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2010 - Proceedings).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  • 2009

    Anisotropic regularization for inverse problems with application to the wiener filter with gaussian and impulse noise

    Feigin, M. & Sochen, N., 2009, Scale Space and Variational Methods in Computer Vision - Second International Conference, SSVM 2009, Proceedings. p. 319-330 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 5567 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  • 2008

    A numerical analysis of the Born approximation for image formation modeling of differential interference contrast microscopy for human embryos

    Trattnert, S., Feigin, M., Greenspan, H. & Sochen, N., 2008, Medical Imaging 2008 - Physics of Medical Imaging. 691349. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; vol. 6913).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  • Efficient anisotropic α-kernels decompositions and flows

    Feigin, M., Sochen, N. & Vemuri, B. C., 2008, 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, CVPR Workshops. IEEE Computer Society, 4562982. (2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, CVPR Workshops).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  • Group representation design of digital signals and sequences

    Gurevich, S., Hadani, R. & Sochen, N., 2008, Sequences and Their Applications - SETA 2008 - 5th International Conference, Proceedings. p. 153-166 14 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 5203 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  • Non-Abelian invariant feature detection

    Gur, Y. & Sochen, N., 2008, 2008 19th International Conference on Pattern Recognition, ICPR 2008. Institute of Electrical and Electronics Engineers Inc., 4761230. (Proceedings - International Conference on Pattern Recognition).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  • 2007

    Anisotropic α-kernels and associated flows

    Feigin, M., Sochen, N. & Vemuri, B. C., 2007, Scale Space and Variational Methods in Computer Vision, First International Conference, SSVM 2007, Proceedings. Springer Verlag, p. 484-495 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 4485 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  • Coordinate-free diffusion over compact lie-groups

    Gur, Y. & Sochen, N., 2007, Scale Space and Variational Methods in Computer Vision, First International Conference, SSVM 2007, Proceedings. Springer Verlag, p. 580-591 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 4485 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  • Full affine wavelets are scale-space with a twist

    Ferdman, Y., Sagiv, C. & Sochen, N., 2007, Scale Space and Variational Methods in Computer Vision, First International Conference, SSVM 2007, Proceedings. Springer Verlag, p. 1-12 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 4485 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  • Restoration of images with piecewise space-variant blur

    Bar, L., Sochen, N. & Kiryati, N., 2007, Scale Space and Variational Methods in Computer Vision, First International Conference, SSVM 2007, Proceedings. Springer Verlag, p. 533-544 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 4485 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  • 2006

    A general framework and new alignment criterion for dense optical flow

    Ben-Ari, R. & Sochen, N., 2006, Proceedings - 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 2006. p. 529-536 8 p. 1640801. (Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition; vol. 1).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  • Image inpainting via fluid equations

    Fishelov, D. & Sochen, N., 2006, ITRE 2006 - 4th International Conference on Information Technology: Research and Education, Proceedings. IEEE Computer Society, p. 23-25 3 p. 4266286. (ITRE 2006 - 4th International Conference on Information Technology: Research and Education, Proceedings).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  • Mutual segmentation with level sets

    Riklin-Raviv, T., Sochen, N. & Kiryati, N., 2006, 2006 Conference on Computer Vision and Pattern Recognition Workshop. 1640625. (Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition; vol. 2006).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  • Segmentation by level sets and symmetry

    Riklin-Raviv, T., Kiryati, N. & Sochen, N., 2006, Proceedings - 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 2006. p. 1015-1022 8 p. 1640862. (Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition; vol. 1).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  • Variational regularization of multiple diffusion tensor fields

    Pasternak, O., Sochen, N. & Assaf, Y., 2006, Visualization and Processing of Tensor Fields. Weickert, J. & Hagen, H. (eds.). Springer Heidelberg, p. 165-176 12 p. (Mathematics and Visualization).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  • 2005

    Color image deblurring with impulsive noise

    Bar, L., Brook, A., Sochen, N. & Kiryati, N., 2005, Variational, Geometric, and Level Set Methods in Computer Vision - Third International Workshop, VLSM 2005, Proceedings. Springer Verlag, p. 49-60 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 3752 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  • Denoising tensors via Lie group flows

    Gur, Y. & Sochen, N., 2005, Variational, Geometric, and Level Set Methods in Computer Vision - Third International Workshop, VLSM 2005, Proceedings. p. 13-24 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 3752 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  • Neuronal fiber delineation in area of edema from diffusion weighted MRI

    Pasternak, O., Sochen, N., Intrator, N. & Assaf, Y., 2005, Advances in Neural Information Processing Systems 18 - Proceedings of the 2005 Conference. p. 1075-1080 6 p. (Advances in Neural Information Processing Systems).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  • Prior-based segmentation by projective registration and level sets

    Riklin-Raviv, T., Kiryati, N. & Sochen, N., 2005, Proceedings - 10th IEEE International Conference on Computer Vision, ICCV 2005. p. 204-211 8 p. 1541258. (Proceedings of the IEEE International Conference on Computer Vision; vol. I).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  • Regularization of mappings between implicit manifolds of arbitrary dimension and codimension

    Shafrir, D., Sochen, N. A. & Deriche, R., 2005, Variational, Geometric, and Level Set Methods in Computer Vision - Third International Workshop, VLSM 2005, Proceedings. p. 344-355 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 3752 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  • 2004

    Reconstruction of medical images by perspective Shape-from-Shading

    Tankus, A., Sochen, N. & Yeshurun, Y., 2004, Proceedings of the 17th International Conference on Pattern Recognition, ICPR 2004. Kittler, J., Petrou, M. & Nixon, M. (eds.). p. 778-781 4 p. (Proceedings - International Conference on Pattern Recognition; vol. 3).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  • Segmentation and denoising via an adaptive threshold mumford-shah-like functional

    Feigin, M. & Sochen, N., 2004, Proceedings of the 17th International Conference on Pattern Recognition, ICPR 2004. Kittler, J., Petrou, M. & Nixon, M. (eds.). p. 98-101 4 p. (Proceedings - International Conference on Pattern Recognition; vol. 2).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  • 2003

    Color image denoising and blind deconvolution using the Beltrami operator

    Kaftory, R., Sochen, N. A. & Zeevi, Y. Y., 2003, ISPA 2003 - Proceedings of the 3rd International Symposium on Image and Signal Processing and Analysis. Neri, A., Babic, H. & Loncaric, S. (eds.). IEEE Computer Society, p. 1-4 4 p. 1296857. (International Symposium on Image and Signal Processing and Analysis, ISPA; vol. 1).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  • 2002

    Regularized shock filters and complex diffusion

    Gilboa, G., Sochen, N. A. & Zeevi, Y. Y., 2002, Computer Vision - ECCV 2002 - 7th European Conference on Computer Vision, Proceedings. Heyden, A., Sparr, G., Nielsen, M. & Johansen, P. (eds.). Springer Verlag, p. 399-413 15 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 2350).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  • 2001

    Combing a porcupine via stereographic direction diffusion

    Sochen, N. A. & Kimmel, R., 2001, Scale-Space and Morphology in Computer Vision - 3rd International Conference, Scale-Space 2001, Proceedings. Kerckhove, M. (ed.). Springer Verlag, p. 308-316 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 2106).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  • Complex diffusion processes for image filtering

    Gilboa, G., Zeevi, Y. Y. & Sochen, N. A., 2001, Scale-Space and Morphology in Computer Vision - 3rd International Conference, Scale-Space 2001, Proceedings. Kerckhove, M. (ed.). Springer Verlag, p. 299-307 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 2106).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  • Gabor feature space diffusion via the minimal weighted area method

    Sagiv, C., Sochen, N. A. & Zeevi, Y. Y., 2001, Energy Minimization Methods in Computer Vision and Pattern Recognition - 3rd International Workshop, EMMCVPR 2001, Proceedings. Jain, A. K., Figueiredo, M. & Zerubia, J. (eds.). Springer Verlag, p. 621-635 15 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 2134).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  • Geodesic active contours applied to texture feature space

    Sagiv, C., Sochen, N. A. & Zeevi, Y. Y., 2001, Scale-Space and Morphology in Computer Vision - 3rd International Conference, Scale-Space 2001, Proceedings. Kerckhove, M. (ed.). Springer Verlag, p. 344-352 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 2106).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  • Geometry motivated variational segmentation for color images

    Brook, A., Kimmel, R. & Sochen, N. A., 2001, Scale-Space and Morphology in Computer Vision - 3rd International Conference, Scale-Space 2001, Proceedings. Kerckhove, M. (ed.). Springer Verlag, p. 362-370 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 2106).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  • On affine invariance in the Beltrami framework for vision

    Sochen, N. A., 2001, Proceedings - IEEE Workshop on Variational and Level Set Methods in Computer Vision, VLSM 2001. Institute of Electrical and Electronics Engineers Inc., p. 51-56 6 p. 938881. (Proceedings - IEEE Workshop on Variational and Level Set Methods in Computer Vision, VLSM 2001).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  • Using beltrami framework for orientation diffusion in image processing

    Kimmel, R. & Sochen, N., 2001, Visual Form 2001 - 4th International Workshop on Visual Form, IWVF4, Proceedings. Arcelli, C., di Baja, G. S. & Cordella, L. P. (eds.). Springer Verlag, p. 346-355 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 2059).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  • 2000

    Anisotropic selective inverse diffusion for signal enhancement in the presence of noise

    Gilboat, G., Zeevi, Y. Y. & Sochen, N., 2000, Signal Processing Theory and Methods I. Institute of Electrical and Electronics Engineers Inc., p. 221-224 4 p. 861922. (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings; vol. 1).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review