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ORCIDNir A. Sochen
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- affiliation: Tel Aviv University, Israel
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2020 – today
- 2024
[j48]Navot Oz
, Omri Berman, Nir A. Sochen, David Mendlovic, Iftach Klapp:
Simultaneous Temperature Estimation and Nonuniformity Correction From Multiple Frames. IEEE Trans. Image Process. 33: 5246-5259 (2024)- [c76]Omri Berman, Navot Oz, David Mendlovic, Nir A. Sochen, Yafit Cohen, Iftach Klapp:
PETIT-GAN: Physically Enhanced Thermal Image-Translating Generative Adversarial Network. WACV 2024: 1607-1616 - [i19]Chenjun Li, Dian Yang, Shun Yao, Shuyue Wang, Ye Wu, Le Zhang, Qiannuo Li, Kang Ik Kevin Cho, Johanna Seitz-Holland, Lipeng Ning, Jon Haitz Legarreta, Yogesh Rathi, Carl-Fredrik Westin, Lauren J. O'Donnell, Nir A. Sochen, Ofer Pasternak, Fan Zhang:
EVENet: Evidence-based Ensemble Learning for Uncertainty-aware Brain Parcellation Using Diffusion MRI. CoRR abs/2409.07020 (2024) - 2023
- [j47]Ido Ben-Shaul, Leah Bar, Dalia Fishelov, Nir A. Sochen:
Deep Learning Solution of the Eigenvalue Problem for Differential Operators. Neural Comput. 35(6): 1100-1134 (2023) - [i18]Navot Oz, Nir A. Sochen, David Mendelovich, Iftach Klapp:
Improving temperature estimation in low-cost infrared cameras using deep neural networks. CoRR abs/2307.12130 (2023) - [i17]Navot Oz, Omri Berman, Nir A. Sochen, David Mendelovich, Iftach Klapp:
Simultaneous temperature estimation and nonuniformity correction from multiple frames. CoRR abs/2307.12297 (2023) - [i16]Omer Sapir, Iftach Klapp, Nir A. Sochen:
Level Set KSVD. CoRR abs/2311.08284 (2023) - 2022
- [j46]Alberto De Luca, Suheyla Cetin Karayumak, Alexander Leemans, Yogesh Rathi, Stephan P. Swinnen, Jolien Gooijers, Amanda Clauwaert, Roald Bahr, Stian Bahr Sandmo, Nir A. Sochen, David Kaufmann, Marc Muehlmann, Geert Jan Biessels, Inga Koerte, Ofer Pasternak:
Cross-site harmonization of multi-shell diffusion MRI measures based on rotational invariant spherical harmonics (RISH). NeuroImage 259: 119439 (2022) - [i15]Nir A. Sochen:
A note on the variation of geometric functionals. CoRR abs/2207.09915 (2022) - 2021
- [j45]Leah Bar, Nir A. Sochen:
Strong Solutions for PDE-Based Tomography by Unsupervised Learning. SIAM J. Imaging Sci. 14(1): 128-155 (2021) - [i14]Ron Levie, Efrat Krimer Avraham, Nir A. Sochen:
Wavelet Design with Optimally Localized Ambiguity Function: a Variational Approach. CoRR abs/2104.01654 (2021) - [i13]Simon Halvdansson, Jan-Fredrik Olsen, Nir A. Sochen, Ron Levie:
Existence of Uncertainty Minimizers for the Continuous Wavelet Transform. CoRR abs/2108.12018 (2021) - 2020
- [i12]Ido Ben-Shaul, Leah Bar, Nir A. Sochen:
Solving the functional Eigen-Problem using Neural Networks. CoRR abs/2007.10205 (2020)
2010 – 2019
- 2019
- [i11]Leah Bar, Nir A. Sochen:
Unsupervised Deep Learning Algorithm for PDE-based Forward and Inverse Problems. CoRR abs/1904.05417 (2019) - 2018
- [c75]Heli Ben Hamu Goldberg, Jonathan Mushkin, Tammy Riklin Raviv, Nir A. Sochen:
Sampling Technique for Defining Segmentation Error Margins with Application to Structural Brain Mri. ICIP 2018: 734-738 - 2017
- [j44]Guy Alexandroni, Gali Zimmerman-Moreno, Nir A. Sochen, Hayit Greenspan:
The fiber-density-coreset for redundancy reduction in huge fiber-sets. NeuroImage 146: 246-256 (2017) - [c74]Leah Bar, Nir A. Sochen, Nahum Kiryati:
Blind Space-Variant Single-Image Restoration of Defocus Blur. SSVM 2017: 109-120 - [i10]Ron Levie, Nir A. Sochen:
Uncertainty principles and optimally sparse wavelet transforms. CoRR abs/1707.04863 (2017) - [i9]Ron Levie, Nir A. Sochen:
A wavelet Plancherel theory with application to sparse continuous wavelet transform. CoRR abs/1712.02770 (2017) - 2016
- [c73]Guy Alexandroni, Gali Zimmerman-Moreno, Nir A. Sochen, Hayit Greenspan:
Coresets vs clustering: comparison of methods for redundancy reduction in very large white matter fiber sets. Image Processing 2016: 97840A - 2015
- [r1]Leah Bar, Tony F. Chan, Ginmo Chung, Miyoun Jung, Luminita A. Vese, Nahum Kiryati, Nir A. Sochen:
Mumford and Shah Model and Its Applications to Image Segmentation and Image Restoration. Handbook of Mathematical Methods in Imaging 2015: 1539-1597 - 2014
- [j43]Ron Levie, Hans-Georg Stark, Florian Lieb, Nir A. Sochen:
Adjoint translation, adjoint observable and uncertainty principles. Adv. Comput. Math. 40(3): 609-627 (2014) - [j42]Thomas Batard, Nir A. Sochen:
A Class of Generalized Laplacians on Vector Bundles Devoted to Multi-Channel Image Processing. J. Math. Imaging Vis. 48(3): 517-543 (2014) - [j41]Dan Raviv, Alexander M. Bronstein, Michael M. Bronstein, Dan Waisman, Nir A. Sochen, Ron Kimmel:
Equi-affine Invariant Geometry for Shape Analysis. J. Math. Imaging Vis. 50(1-2): 144-163 (2014) - [j40]Ronen Gal, Nahum Kiryati, Nir A. Sochen:
Progress in the restoration of image sequences degraded by atmospheric turbulence. Pattern Recognit. Lett. 48: 8-14 (2014) - 2013
- [j39]Dan Feldman, Micha Feigin, Nir A. Sochen:
Learning Big (Image) Data via Coresets for Dictionaries. J. Math. Imaging Vis. 46(3): 276-291 (2013) - [p4]Shay Dekel, Nir A. Sochen, Shai Avidan:
Incremental Level Set Tracking. Innovations for Shape Analysis, Models and Algorithms 2013: 407-420 - 2012
- [c72]Daniel Lantzberg, Florian Lieb, Hans-Georg Stark, Ron Levie, Nir A. Sochen:
Uncertainty principles, minimum uncertainty samplings and translations. EUSIPCO 2012: 799-803 - [p3]Yaniv Gur, Ofer Pasternak, Nir A. Sochen:
SPD Tensors Regularization via Iwasawa Decomposition. Mathematical Methods for Signal and Image Analysis and Representation 2012: 83-100 - 2011
- [j38]Dan Raviv, Alexander M. Bronstein, Michael M. Bronstein, Ron Kimmel, Nir A. Sochen:
Affine-invariant geodesic geometry of deformable 3D shapes. Comput. Graph. 35(3): 692-697 (2011) - [c71]Dan Raviv, Michael M. Bronstein, Alexander M. Bronstein, Ron Kimmel, Nir A. Sochen:
Affine-invariant diffusion geometry for the analysis of deformable 3D shapes. CVPR 2011: 2361-2367 - [c70]Iftach Klapp, Nir A. Sochen, David Mendlovic:
Deblurring Space-Variant Blur by Adding Noisy Image. SSVM 2011: 157-168 - [c69]Nir A. Sochen, Leah Bar:
The Beltrami-Mumford-Shah Functional. SSVM 2011: 183-193 - [c68]Micha Feigin, Dan Feldman, Nir A. Sochen:
From High Definition Image to Low Space Optimization. SSVM 2011: 459-470 - [c67]Thomas Batard, Nir A. Sochen:
Polyakov Action on (ρ, G)-Equivariant Functions Application to Color Image Regularization. SSVM 2011: 483-494 - [c66]Dan Raviv, Alexander M. Bronstein, Michael M. Bronstein, Ron Kimmel, Nir A. Sochen:
Equi-affine Invariant Geometries of Articulated Objects. Theoretical Foundations of Computer Vision 2011: 177-190 - 2010
- [j37]Ofer Pasternak, Nir A. Sochen, Peter J. Basser:
The effect of metric selection on the analysis of diffusion tensor MRI data. NeuroImage 49(3): 2190-2204 (2010) - [j36]Rami Ben-Ari, Nir A. Sochen:
Stereo Matching with Mumford-Shah Regularization and Occlusion Handling. IEEE Trans. Pattern Anal. Mach. Intell. 32(11): 2071-2084 (2010) - [j35]Micha Feigin, Nir A. Sochen, Baba C. Vemuri:
Anisotropic Alpha-Kernels and Associated Flows. SIAM J. Imaging Sci. 3(4): 904-925 (2010) - [c65]Ran Shadmi, Arnaldo Mayer, Nir A. Sochen, Hayit Greenspan:
Piecewise smooth affine registration of point-sets with application to DT-MRI brain fiber-data. ISBI 2010: 528-531 - [i8]Dan Raviv, Alexander M. Bronstein, Michael M. Bronstein, Ron Kimmel, Nir A. Sochen:
Affine-invariant diffusion geometry for the analysis of deformable 3D shapes. CoRR abs/1012.5933 (2010) - [i7]Dan Raviv, Alexander M. Bronstein, Michael M. Bronstein, Ron Kimmel, Nir A. Sochen:
Affine-invariant geodesic geometry of deformable 3D shapes. CoRR abs/1012.5936 (2010)
2000 – 2009
- 2009
- [j34]Yaniv Gur, Ofer Pasternak, Nir A. Sochen:
Fast GL(n)-Invariant Framework for Tensors Regularization. Int. J. Comput. Vis. 85(3): 211-222 (2009) - [j33]Laurent D. Cohen, Nir A. Sochen, Luminita A. Vese:
Guest Editorial. J. Math. Imaging Vis. 33(2): 121 (2009) - [j32]Rami Ben-Ari, Nir A. Sochen:
A Geometric Framework and a New Criterion in Optical Flow Modeling. J. Math. Imaging Vis. 33(2): 178-194 (2009) - [j31]Yaniv Gur, Nir A. Sochen:
Regularizing Flows over Lie Groups. J. Math. Imaging Vis. 33(2): 195-208 (2009) - [j30]Tammy Riklin-Raviv, Nir A. Sochen, Nahum Kiryati:
On Symmetry, Perspectivity, and Level-Set-Based Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 31(8): 1458-1471 (2009) - [c64]Micha Feigin, Nir A. Sochen:
Anisotropic Regularization for Inverse Problems with Application to the Wiener Filter with Gaussian and Impulse Noise. SSVM 2009: 319-330 - 2008
- [j29]Tammy Riklin-Raviv, Nir A. Sochen, Nahum Kiryati:
Shape-Based Mutual Segmentation. Int. J. Comput. Vis. 79(3): 231-245 (2008) - [j28]Rami Ben-Ari, Nir A. Sochen:
A Geometric Approach for Regularization of the Data Term in Stereo-Vision. J. Math. Imaging Vis. 31(1): 17-33 (2008) - [j27]Shamgar Gurevich, Ronny Hadani, Nir A. Sochen:
The Finite Harmonic Oscillator and Its Applications to Sequences, Communication, and Radar. IEEE Trans. Inf. Theory 54(9): 4239-4253 (2008) - [c63]Micha Feigin, Nir A. Sochen, Baba C. Vemuri:
Efficient anisotropic α-Kernels decompositions and flows. CVPR Workshops 2008: 1-8 - [c62]Shamgar Gurevich, Ronny Hadani, Nir A. Sochen:
The discrete Fourier transform: A canonical basis of eigenfunctions. EUSIPCO 2008: 1-5 - [c61]Shamgar Gurevich, Ronny Hadani, Nir A. Sochen:
Deterministic dictionaries for sparsity: A group representation approach. EUSIPCO 2008: 1-4 - [c60]Yaniv Gur, Nir A. Sochen:
Non-Abelian invariant feature detection. ICPR 2008: 1-4 - [c59]Shamgar Gurevich, Ronny Hadani, Nir A. Sochen:
Group Representation Design of Digital Signals and Sequences. SETA 2008: 153-166 - [p2]Ariel Tankus, Nir A. Sochen, Yehezkel Yeshurun:
Shape from Shading. Wiley Encyclopedia of Computer Science and Engineering 2008 - [i6]Shamgar Gurevich, Ronny Hadani, Nir A. Sochen:
On some deterministic dictionaries supporting sparsity. CoRR abs/0808.1368 (2008) - [i5]Shamgar Gurevich, Ronny Hadani, Nir A. Sochen:
The finite harmonic oscillator and its associated sequences. CoRR abs/0808.1417 (2008) - [i4]Shamgar Gurevich, Ronny Hadani, Nir A. Sochen:
The finite harmonic oscillator and its applications to sequences, communication and radar. CoRR abs/0808.1495 (2008) - [i3]Shamgar Gurevich, Ronny Hadani, Nir A. Sochen:
The discrete Fourier transform: A canonical basis of eigenfunctions. CoRR abs/0808.3214 (2008) - [i2]Shamgar Gurevich, Ronny Hadani, Nir A. Sochen:
Group representation design of digital signals and sequences. CoRR abs/0812.5026 (2008) - 2007
- [j26]Tammy Riklin-Raviv, Nahum Kiryati, Nir A. Sochen:
Prior-based Segmentation and Shape Registration in the Presence of Perspective Distortion. Int. J. Comput. Vis. 72(3): 309-328 (2007) - [j25]Lorina Dascal, Adi Ditkowski, Nir A. Sochen:
On the Discrete Maximum Principle for the Beltrami Color Flow. J. Math. Imaging Vis. 29(1): 63-77 (2007) - [j24]Leah Bar, Nir A. Sochen, Nahum Kiryati:
Convergence of an Iterative Method for Variational Deconvolution and Impulsive Noise Removal. Multiscale Model. Simul. 6(3): 983-994 (2007) - [j23]Leah Bar, Alexander Brook, Nir A. Sochen, Nahum Kiryati:
Deblurring of Color Images Corrupted by Impulsive Noise. IEEE Trans. Image Process. 16(4): 1101-1111 (2007) - [j22]Alon Spira, Ron Kimmel, Nir A. Sochen:
A Short- Time Beltrami Kernel for Smoothing Images and Manifolds. IEEE Trans. Image Process. 16(6): 1628-1636 (2007) - [c58]Rami Ben-Ari, Nir A. Sochen:
Variational Stereo Vision with Sharp Discontinuities and Occlusion Handling. ICCV 2007: 1-7 - [c57]Yaniv Gur, Nir A. Sochen:
Fast Invariant Riemannian DT-MRI Regularization. ICCV 2007: 1-7 - [c56]Sigal Trattner, Micha Feigin, Hayit Greenspan, Nir A. Sochen:
Can Born Approximate the Unborn? A New Validity Criterion for the Born Approximation in Microscopic Imaging. ICCV 2007: 1-8 - [c55]Tammy Riklin-Raviv, Nir A. Sochen, Nahum Kiryati, Nir Ben-Zadok, Smadar Gefen, Louise Bertrand, Jonathan Nissanov:
Propagating Distributions for Segmentation of Brain Atlas. ISBI 2007: 1304-1307 - [c54]Yossi Ferdman, Chen Sagiv, Nir A. Sochen:
Full Affine Wavelets Are Scale-Space with a Twist. SSVM 2007: 1-12 - [c53]Micha Feigin, Nir A. Sochen, Baba C. Vemuri:
Anisotropic alpha -Kernels and Associated Flows. SSVM 2007: 484-495 - [c52]Leah Bar, Nir A. Sochen, Nahum Kiryati:
Restoration of Images with Piecewise Space-Variant Blur. SSVM 2007: 533-544 - [c51]Yaniv Gur, Nir A. Sochen:
Coordinate-Free Diffusion over Compact Lie-Groups. SSVM 2007: 580-591 - 2006
- [j21]Daniel Cremers, Nir A. Sochen, Christoph Schnörr:
A Multiphase Dynamic Labeling Model for Variational Recognition-driven Image Segmentation. Int. J. Comput. Vis. 66(1): 67-81 (2006) - [j20]Ron Kimmel, Nir A. Sochen, Joachim Weickert:
Editorial: Special issue for the 5th International Conference on Scale-Space and PDE Methods in Computer Vision. Int. J. Comput. Vis. 70(3): 195 (2006) - [j19]Leah Bar, Nahum Kiryati, Nir A. Sochen:
Image Deblurring in the Presence of Impulsive Noise. Int. J. Comput. Vis. 70(3): 279-298 (2006) - [j18]Chen Sagiv, Nir A. Sochen, Yehoshua Y. Zeevi:
The Uncertainty Principle: Group Theoretic Approach, Possible Minimizers and Scale-Space Properties. J. Math. Imaging Vis. 26(1-2): 149-166 (2006) - [j17]Leah Bar, Nir A. Sochen, Nahum Kiryati:
Semi-blind image restoration via Mumford-Shah regularization. IEEE Trans. Image Process. 15(2): 483-493 (2006) - [j16]Chen Sagiv, Nir A. Sochen, Yehoshua Y. Zeevi:
Integrated active contours for texture segmentation. IEEE Trans. Image Process. 15(6): 1633-1646 (2006) - [j15]Guy Gilboa, Nir A. Sochen, Yehoshua Y. Zeevi:
Estimation of optimal PDE-based denoising in the SNR sense. IEEE Trans. Image Process. 15(8): 2269-2280 (2006) - [j14]Guy Gilboa, Nir A. Sochen, Yehoshua Y. Zeevi:
Variational denoising of partly textured images by spatially varying constraints. IEEE Trans. Image Process. 15(8): 2281-2289 (2006) - [c50]Tammy Riklin-Raviv, Nir A. Sochen, Nahum Kiryati:
Mutual Segmentation with Level Sets. CVPR Workshops 2006: 177 - [c49]Rami Ben-Ari, Nir A. Sochen:
A General Framework and New Alignment Criterion for Dense Optical Flow. CVPR (1) 2006: 529-536 - [c48]Tammy Riklin-Raviv, Nahum Kiryati, Nir A. Sochen:
Segmentation by Level Sets and Symmetry. CVPR (1) 2006: 1015-1022 - [c47]Dalia Fishelov, Nir A. Sochen:
Image Inpainting via Fluid Equations. ITRE 2006: 23-25 - [p1]Ofer Pasternak, Nir A. Sochen, Yaniv Assaf:
Variational Regularization of Multiple Diffusion Tensor Fields. Visualization and Processing of Tensor Fields 2006: 165-176 - 2005
- [j13]Ariel Tankus, Nir A. Sochen, Yehezkel Yeshurun:
Shape-from-Shading Under Perspective Projection. Int. J. Comput. Vis. 63(1): 21-43 (2005) - [j12]Ran Kaftory, Nir A. Sochen, Yehoshua Y. Zeevi:
Variational blind deconvolution of multi-channel images. Int. J. Imaging Syst. Technol. 15(1): 56-63 (2005) - [j11]Lorina Dascal, Nir A. Sochen:
A Maximum Principle for Beltrami Color Flow. SIAM J. Appl. Math. 65(5): 1615-1632 (2005) - [c46]Tammy Riklin-Raviv, Nahum Kiryati, Nir A. Sochen:
Prior-Based Segmentation by Projective Registration and Level Sets. ICCV 2005: 204-211 - [c45]Ofer Pasternak, Nir A. Sochen, Nathan Intrator, Yaniv Assaf:
Neuronal Fiber Delineation in Area of Edema from Diffusion Weighted MRI. NIPS 2005: 1075-1080 - [c44]Leah Bar, Nir A. Sochen, Nahum Kiryati:
Image Deblurring in the Presence of Salt-and-Pepper Noise. Scale-Space 2005: 107-118 - [c43]Guy Gilboa, Nir A. Sochen, Yehoshua Y. Zeevi:
Estimation of the Optimal Variational Parameter via SNR Analysis. Scale-Space 2005: 230-241 - [c42]Chen Sagiv, Nir A. Sochen, Yehoshua Y. Zeevi:
Scale-Space Generation via Uncertainty Principles. Scale-Space 2005: 351-362 - [c41]Yaniv Gur, Nir A. Sochen:
Denoising Tensors via Lie Group Flows. VLSM 2005: 13-24 - [c40]Leah Bar, Alexander Brook, Nir A. Sochen, Nahum Kiryati:
Color Image Deblurring with Impulsive Noise. VLSM 2005: 49-60 - [c39]David Shafrir, Nir A. Sochen, Rachid Deriche:
Regularization of Mappings Between Implicit Manifolds of Arbitrary Dimension and Codimension. VLSM 2005: 344-355 - [e1]Ron Kimmel, Nir A. Sochen, Joachim Weickert:
Scale Space and PDE Methods in Computer Vision, 5th International Conference, Scale-Space 2005, Hofgeismar, Germany, April 7-9, 2005, Proceedings. Lecture Notes in Computer Science 3459, Springer 2005, ISBN 3-540-25547-8 [contents] - 2004
- [j10]Guy Gilboa, Nir A. Sochen, Yehoshua Y. Zeevi:
Image Sharpening by Flows Based on Triple Well Potentials. J. Math. Imaging Vis. 20(1-2): 121-131 (2004) - [j9]Nir A. Sochen:
Affine Invariant Flows in the Beltrami Framework. J. Math. Imaging Vis. 20(1-2): 133-146 (2004) - [j8]Guy Gilboa, Nir A. Sochen, Yehoshua Y. Zeevi:
Image Enhancement and Denoising by Complex Diffusion Processes. IEEE Trans. Pattern Anal. Mach. Intell. 26(8): 1020-1036 (2004) - [j7]Chen Sagiv, Nir A. Sochen, Ron Kimmel:
StereographicCombing a Porcupine or Studies on Direction Diffusion in Image Processing. SIAM J. Appl. Math. 64(5): 1477-1508 (2004) - [c38]Ariel Tankus, Nir A. Sochen, Yehezkel Yeshurun:
Perspective Shape-from-Shading by Fast Marching. CVPR (1) 2004: 43-49 - [c37]Tammy Riklin-Raviv, Nahum Kiryati, Nir A. Sochen:
Unlevel-Sets: Geometry and Prior-Based Segmentation. ECCV (4) 2004: 50-61 - [c36]Daniel Cremers, Nir A. Sochen, Christoph Schnörr:
Multiphase Dynamic Labeling for Variational Recognition-Driven Image Segmentation. ECCV (4) 2004: 74-86 - [c35]Lucero Lopez Perez, Rachid Deriche, Nir A. Sochen:
The Beltrami Flow over Triangulated Manifolds. ECCV Workshops CVAMIA and MMBIA 2004: 135-144 - [c34]Leah Bar, Nir A. Sochen, Nahum Kiryati:
Variational Pairing of Image Segmentation and Blind Restoration. ECCV (2) 2004: 166-177 - [c33]Micha Feigin, Nir A. Sochen:
Segmentation and Denoising via an Adaptive Threshold Mumford-Shah-like Functional. ICPR (2) 2004: 98-101 - [c32]Rami Ben-Ari, Nir A. Sochen:
Non-Isotropic Regularization of the Correspondence Space in Stereo-Vision. ICPR (4) 2004: 293-296 - [c31]Ariel Tankus, Nir A. Sochen, Yehezkel Yeshurun:
Reconstruction of Medical Images by Perspective Shape-from-Shading. ICPR (3) 2004: 778-781 - 2003
- [j6]Alexander Brook, Ron Kimmel, Nir A. Sochen:
Variational Restoration and Edge Detection for Color Images. J. Math. Imaging Vis. 18(3): 247-268 (2003) - [c30]Nir A. Sochen, Rachid Deriche, Lucero Lopez Perez:
The Beltrami Flow over Implicit Manifolds. ICCV 2003: 832-839 - [c29]Ariel Tankus, Nir A. Sochen, Yehezkel Yeshurun:
A New Perspective [on] Shape-from-Shading. ICCV 2003: 862-869 - [c28]Nir A. Sochen, Rachid Deriche, Lucero Lopez Perez:
Variational Beltrami flows over manifolds. ICIP (1) 2003: 861-864 - [c27]Guy Gilboa, Yehoshua Y. Zeevi, Nir A. Sochen:
PDE-based denoising of complex scenes using a spatially-varying fidelity term. ICIP (1) 2003: 865-868 - [c26]Yaron Gvili, Nir A. Sochen:
A Complete System of Measurement Invariants for Abelian Lie Transformation Groups. Scale-Space 2003: 72-85 - [c25]Lorina Dascal, Nir A. Sochen:
The Maximum Principle for Beltrami Color Flow. Scale-Space 2003: 196-208 - [c24]Daniel Cremers, Nir A. Sochen, Christoph Schnörr:
Towards Recognition-Based Variational Segmentation Using Shape Priors and Dynamic Labeling. Scale-Space 2003: 388-400 - [c23]Alon Spira, Ron Kimmel, Nir A. Sochen:
Efficient Beltrami Flow Using a Short Time Kernel. Scale-Space 2003: 511-522 - 2002
- [j5]Ron Kimmel, Nir A. Sochen:
Orientation Diffusion or How to Comb a Porcupine. J. Vis. Commun. Image Represent. 13(1-2): 238-248 (2002) - [j4]Guy Gilboa, Nir A. Sochen, Yehoshua Y. Zeevi:
Forward-and-backward diffusion processes for adaptive image enhancement and denoising. IEEE Trans. Image Process. 11(7): 689-703 (2002) - [c22]Guy Gilboa, Nir A. Sochen, Yehoshua Y. Zeevi:
Regularized Shock Filters and Complex Diffusion. ECCV (1) 2002: 399-413 - 2001
- [j3]Nir A. Sochen, Ron Kimmel, Alfred M. Bruckstein:
Diffusions and Confusions in Signal and Image Processing. J. Math. Imaging Vis. 14(3): 195-209 (2001) - [c21]Chen Sagiv, Nir A. Sochen, Yehoshua Y. Zeevi:
Gabor Feature Space Diffusion via the Minimal Weighted Area Method. EMMCVPR 2001: 621-635 - [c20]Nir A. Sochen:
Stochastic Processes in Vision: From Langevin to Beltrami. ICCV 2001: 288-293 - [c19]Guy Gilboa, Yehoshua Y. Zeevi, Nir A. Sochen:
Image enhancement segmentation and denoising by time dependent nonlinear diffusion processes. ICIP (3) 2001: 134-137 - [c18]Ron Kimmel, Nir A. Sochen:
Using Beltrami Framework for Orientation Diffusion in Image Processing. IWVF 2001: 346-355 - [c17]Guy Gilboa, Yehoshua Y. Zeevi, Nir A. Sochen:
Complex Diffusion Processes for Image Filtering. Scale-Space 2001: 299-307 - [c16]Nir A. Sochen, Ron Kimmel:
Combing a Porcupine via Stereographic Direction Diffusion. Scale-Space 2001: 308-316 - [c15]Chen Sagiv, Nir A. Sochen, Yehoshua Y. Zeevi:
Geodesic Active Contours Applied to Texture Feature Space. Scale-Space 2001: 344-352 - [c14]Alexander Brook, Ron Kimmel, Nir A. Sochen:
Geometry Motivated Variational Segmentation for Color Images. Scale-Space 2001: 362-370 - 2000
- [j2]Ron Kimmel, Ravi Malladi, Nir A. Sochen:
Images as Embedded Maps and Minimal Surfaces: Movies, Color, Texture, and Volumetric Medical Images. Int. J. Comput. Vis. 39(2): 111-129 (2000) - [c13]Chen Sagiv, Nir A. Sochen, Yehoshua Y. Zeevi:
Gabor-Space Geodesic Active Contours. AFPAC 2000: 309-318 - [c12]Nir A. Sochen, Guy Gilboa, Yehoshua Y. Zeevi:
Color Image Enhancement by a Forward-and-Backward Adaptive Beltrami Flow. AFPAC 2000: 319-328 - [c11]Guy Gilboa, Yehoshua Y. Zeevi, Nir A. Sochen:
Signal and image enhancement by a generalized forward-and-backward adaptive diffusion process. EUSIPCO 2000: 1-4 - [c10]Guy Gilboa, Yehoshua Y. Zeevi, Nir A. Sochen:
Anisotropic selective inverse diffusion for signal enhancement in the presence of noise. ICASSP 2000: 221-224 - [i1]Adee Ran, Nir A. Sochen:
Differential Geometry Techniques in Stereo Vision. EuroCG 2000: 98-103
1990 – 1999
- 1999
- [c9]Nir A. Sochen, Yehoshua Y. Zeevi:
The Beltrami geometrical framework of color image processing. ICASSP 1999: 3301-3304 - [c8]Ron Kimmel, Nir A. Sochen:
Geometric-Variational Approach for Color Image Enhancement and Segmentation. Scale-Space 1999: 294-305 - [c7]Nir A. Sochen, Robert M. Haralick, Yehoshua Y. Zeevi:
A Geometric Functional for Derivatives Approximation. Scale-Space 1999: 507-512 - 1998
- [j1]Nir A. Sochen, Ron Kimmel, Ravi Malladi:
A general framework for low level vision. IEEE Trans. Image Process. 7(3): 310-318 (1998) - [c6]Ron Kimmel, Ravi Malladi, Nir A. Sochen:
Image Processing via the Beltrami Operator. ACCV (1) 1998: 574-581 - [c5]Nir A. Sochen, Yehoshua Y. Zeevi:
Resolution enhancement of colored images by inverse diffusion processes. ICASSP 1998: 2853-2856 - [c4]Nir A. Sochen, Yehoshua Y. Zeevi:
Representation of Colored Images by Manifolds Embedded in Higher Dimensional Non-Euclidean Space. ICIP (1) 1998: 166-170 - 1997
- [c3]Ron Kimmel, Ravi Malladi, Nir A. Sochen:
Images as embedding maps and minimal surfaces: movies, color, and volumetric medical images. CVPR 1997: 350-355 - [c2]Ron Kimmel, Ravi Malladi, Nir A. Sochen:
Images as Embedding Maps and Minimal Surfaces: A Unified Approach for Image Diffusion. ICIP (3) 1997: 368-371 - [c1]Ron Kimmel, Nir A. Sochen, Ravi Malladi:
From High Energy Physics to Low Level Vision. Scale-Space 1997: 236-247
Coauthor Index
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