Abhishek Sharma
sharma@lix.polytechnique.fr

I am an incoming senior DL research scientist at Illumina AI group at Cambridge, UK and previously, a Ph.D. candidate in the Shape Analysis Group at Ecole Polytechnique, IPP Paris. My Ph.D. thesis is about Deep Functional Maps for 3D shape analysis and I am very interested in alignment problems in general (images, text, 3D data or graphs) and their applications in biology following spectacular success of alphafold.

I graduated with a Masters degree in Math, Vision and Learning with a distinction. Before that, I was somewhat fortunate to be hired by Catherine at CNRS, Francois Fleuret at Idiap/EPFL, and Jean Ponce at INRIA/ENS. I got interested in Science while doing my Bachelors at CUSAT, India.

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News


Publications

Matrix Decomposition on Graphs: A Functional View
Abhishek Sharma, Maks Ovsjanikov
ICASSP, 2022

arxiv / Code / bibtex
@article{sharma2020,
Title={Matrix Decomposition on Graphs: A Functional View},
Author={Abhishek Sharma and Maks Ovsjanikov},
Journal={ICASSP},
Year={2022}}
            

Weakly Supervised Deep Functional Maps for Shape Matching
Abhishek Sharma, Maks Ovsjanikov
NeurIPS, 2020

arxiv / Code / bibtex
@article{sharma2020,
Title={Weakly Supervised Deep Functional Maps for Shape Matching},
Author={Abhishek Sharma and Maks Ovsjanikov},
Journal={NeurIPS},
Year={2020}}
            

Deep geometric functional maps: Robust feature learning for shape correspondence
Nicolas Donati, Abhishek Sharma, Maks Ovsjanikov
CVPR, 2020 Best Paper Award Nominee

arxiv / Code / bibtex
@article{donati20,
Title={Deep geometric functional maps: Robust feature learning for shape correspondence},
Author={Nicolas Donati, Abhishek Sharma and Maks Ovsjanikov},
Journal={CVPR},
Year={2020}}
            

Unsupervised deep learning for structured shape matching
Jean-Michel Roufosse, Abhishek Sharma, Maks Ovsjanikov
ICCV, 2019 Best Paper Award Nominee

arxiv / Code / bibtex
@article{roufosse19,
Title={Unsupervised deep learning for structured shape matching},
Author={Jean-Michel Roufosse, Abhishek Sharma and Maks Ovsjanikov},
Journal={ICCV},
Year={2019}}
            

ZoomOut: Spectral Upsampling for Efficient Shape Correspondence
Simone Melzi, Jing Ren, Emanuele Rodola, Abhishek Sharma, Maks Ovsjanikov
Siggraph Asia, 2019

arxiv / Code / bibtex
@article{roufosse19,
Title={ZoomOut: Spectral Upsampling for Efficient Shape Correspondence},
Author={Simone Melzi, Jing Ren, Emanuele RodolĂ , Abhishek Sharma, Peter Wonka, Maks Ovsjanikov},
Journal={ICCV},
Year={2019}}
            

Foreground-Clustering-for-Joint-segmentation-and-Localization
Abhishek Sharma
NeurIPS, 2018

arxiv / Code / bibtex
@article{sharma18,
Title={Foreground-Clustering-for-Joint-segmentation-and-Localization},
Author={Abhishek Sharma},
Journal={NeurIPS},
Year={2018}}
            

VConv-DAE: Deep Volumetric Shape Learning Without Object Labels
Abhishek Sharma, Oliver Grau, and Mario Fritz
ECCV, 2016

arxiv / Code / bibtex
@article{sharma16,
Author    = {Abhishek Sharma and Oliver Grau and Mario Fritz},
Title     = {VConv-DAE: Deep Volumetric Shape Learning Without Object Labels},
Journal   = {ECCV},
Year      = {2016}}
            

Preprints Under Review


Stolen from Jon Barron