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7 Publications
2012 | Published | Conference Paper | IST-REx-ID: 18344
Hooda A, Bronstein MM, Bronstein AM, Horaud RP. 2012. Shape palindromes: Analysis of intrinsic symmetries in 2D articulated shapes. Scale Space and Variational Methods in Computer Vision. Third International Conference on Scale Space and Variational Methods in Computer Vision, LNCS, vol. 6667, 665–676.
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| DOI
2012 | Published | Conference Paper | IST-REx-ID: 18345
Aflalo Y, Bronstein AM, Bronstein MM, Kimmel R. 2012. Deformable shape retrieval by learning diffusion kernels. 3rd International Conference on Scale Space and Variational Methods in Computer Vision. SSVM: Scale Space and Variational Methods in Computer Vision, LNCS, vol. 6667, 689–700.
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| DOI
2012 | Published | Conference Paper | IST-REx-ID: 18342
Pokrass J, Bronstein AM, Bronstein MM. 2012. A correspondence-less approach to matching of deformable shapes. 3rd International Conference on Scale Space and Variational Methods in Computer Vision. SSVM: Scale Space and Variational Methods in Computer Vision, LNCS, vol. 6667, 592–603.
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| DOI
2012 | Published | Conference Paper | IST-REx-ID: 18346
Rosman G, Bronstein MM, Bronstein AM, Wolf A, Kimmel R. 2012. Group-valued regularization framework for motion segmentation of dynamic non-rigid shapes. 3rd International Conference on Scale Space and Variational Methods in Computer Vision. SSVM: Scale Space and Variational Methods in Computer Vision, LNCS, vol. 6667, 725–736.
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| DOI
2012 | Published | Conference Paper | IST-REx-ID: 18341
Wang C, Bronstein MM, Bronstein AM, Paragios N. 2012. Discrete minimum distortion correspondence problems for non-rigid shape matching. 3rd International Conference on Scale Space and Variational Methods in Computer Vision. SSVM: Scale Space and Variational Methods in Computer Vision, LNCS, vol. 6667, 580–591.
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| DOI
2012 | Published | Conference Paper | IST-REx-ID: 18343
Kovnatsky A, Bronstein MM, Bronstein AM, Kimmel R. 2012. Photometric heat kernel signatures. 3rd International Conference on Scale Space and Variational Methods in Computer Vision. SSVM: Scale Space and Variational Methods in Computer Vision, LNCS, vol. 6667, 616–627.
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| DOI