Research StatementMy main interests lie in the area of learning shape correspondences. In my
research projects, I attempt to approach this problem of obtaining shape
correspondences through different similarity perspectives. Using similarity
based on geometric functions defined on shapes is crucial to understanding
relationships between very different shapes that vary in a trustworthy fashion
on certain shape functions. This, along with the functional map framework,
ignites one track of my research. In parallel, attempting to discern
structural similarity from shapes, and using this learned knowledge to
assimilate structurally similar shapes has been another area of research I
have been excited in. This structural information is something that can be used for a plethora of applications including shape and scene completion, partial and complete shape segmentation and shape classification. While the latter is not published material yet, I shall be happy to discuss this problem with interested potential collaborators.
Recent Publications
J. Huang, J. Gao, V. Ganapathi-Subramanian, H. Su, Y. Liu, C. Tang, and L. Guibas, DeepPrimitive: Image decomposition by layered primitive detection, Computational Visual Media 4(4): 385-397 (2018).
@article{hggsltg-didblpd-18,
author = {Huang, Jiahui and Gao, Jun and Ganapathi-Subramanian, Vignesh and Su, Hao and Liu, Yin and Tang, Chengcheng and Guibas, Leonidas},
year = {2018},
month = {12},
pages = {385-397},
title = {DeepPrimitive: Image decomposition by layered primitive detection},
volume = {4},
journal = {Computational Visual Media},
doi = {10.1007/s41095-018-0128-6}
}
V. Ganapathi-Subramanian, O. Diamanti, S. Pirk, C. Tang, M. Nießner, L.Guibas, Parsing Geometry Using Structure-Aware Shape Templates, IEEE Explore/International Conference in 3D Vision, 2018).
@article{gcmpcg-bmsmsd-13,
author = {Vignesh Ganapathi-Subramanian, Olga Diamanti, Soeren Pirk, Chengcheng Tang, Matthias Niessner, Leonidas J. Guibas},
title = {Parsing Geometry Using Structure-Aware Shape Templates},
journal = {IEEE Explore/International Conference in 3D Vision, 2018},
year = {2018},
}
V.Ganapathi-Subramanian, O.Diamanti, L.Guibas, Modular Latent Spaces for Shape Correspondences, Computer Graphics Forum, Volume 37 (2018), Number 5
@inproceedings{ganapathi2018modular,
title={Modular latent spaces for shape correspondences},
author={Ganapathi-Subramanian, Vignesh and Diamanti, Olga and Guibas, Leonidas J},
booktitle={Computer Graphics Forum},
volume={37},
number={5},
pages={199--210},
year={2018},
organization={Wiley Online Library}
}
V. Ganapathi-Subramanian, B. Thibert, M. Ovsjanikov, and L. Guibas, Stable Region Correspondences Between Non-Isometric Shapes, Eurographics Symp. on Geometry Processing (SGP), 2016.
@article {gtog-srcbnis-16,
journal = {Computer Graphics Forum},
title = {{Stable Region Correspondences Between Non-Isometric Shapes}},
author = {Ganapathi-Subramanian, Vignesh and Thibert, Boris and Ovsjanikov, Maks and Guibas, Leonidas},
year = {2016},
publisher = {The Eurographics Association and John Wiley & Sons Ltd.},
ISSN = {1467-8659},
DOI = {10.1111/cgf.12969}
}
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