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7 Publications


2012 | Published | Conference Paper | IST-REx-ID: 18344
Shape palindromes: Analysis of intrinsic symmetries in 2D articulated shapes
A. Hooda, M.M. Bronstein, A.M. Bronstein, R.P. Horaud, in:, Scale Space and Variational Methods in Computer Vision, Springer Nature, 2012, pp. 665–676.
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2012 | Published | Conference Paper | IST-REx-ID: 18345
Deformable shape retrieval by learning diffusion kernels
Y. Aflalo, A.M. Bronstein, M.M. Bronstein, R. Kimmel, in:, 3rd International Conference on Scale Space and Variational Methods in Computer Vision, Springer Nature, 2012, pp. 689–700.
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2012 | Published | Conference Paper | IST-REx-ID: 18342
A correspondence-less approach to matching of deformable shapes
J. Pokrass, A.M. Bronstein, M.M. Bronstein, in:, 3rd International Conference on Scale Space and Variational Methods in Computer Vision, Springer Nature, 2012, pp. 592–603.
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2012 | Published | Conference Paper | IST-REx-ID: 18346
Group-valued regularization framework for motion segmentation of dynamic non-rigid shapes
G. Rosman, M.M. Bronstein, A.M. Bronstein, A. Wolf, R. Kimmel, in:, 3rd International Conference on Scale Space and Variational Methods in Computer Vision, Springer Nature, 2012, pp. 725–736.
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2012 | Published | Conference Paper | IST-REx-ID: 18341
Discrete minimum distortion correspondence problems for non-rigid shape matching
C. Wang, M.M. Bronstein, A.M. Bronstein, N. Paragios, in:, 3rd International Conference on Scale Space and Variational Methods in Computer Vision, Springer Nature, Berlin, Heidelberg, 2012, pp. 580–591.
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2012 | Published | Conference Paper | IST-REx-ID: 18343
Photometric heat kernel signatures
A. Kovnatsky, M.M. Bronstein, A.M. Bronstein, R. Kimmel, in:, 3rd International Conference on Scale Space and Variational Methods in Computer Vision, Springer Nature, 2012, pp. 616–627.
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2012 | Published | Book (Editor) | IST-REx-ID: 18340
Scale Space and Variational Methods in Computer Vision
A.M. Bruckstein, B.M. ter Haar Romeny, A. Bronstein, M.M. Bronstein, eds., Scale Space and Variational Methods in Computer Vision, 1st ed., Springer Nature, Berlin, Heidelberg, 2012.
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