Siddhartha Chaudhuri
Siddhartha Chaudhuri
Assistant Professor, IIT Bombay and Senior Research Scientist, Adobe
Verified email at cse.iitb.ac.in - Homepage
Title
Cited by
Cited by
Year
A probabilistic model for component-based shape synthesis
E Kalogerakis, S Chaudhuri, D Koller, V Koltun
ACM Transactions on Graphics (TOG) 31 (4), 1-11, 2012
2852012
Probabilistic reasoning for assembly-based 3D modeling
S Chaudhuri, E Kalogerakis, L Guibas, V Koltun
ACM Transactions on Graphics (TOG) 30 (4), 35, 2011
2132011
Learning part-based templates from large collections of 3D shapes
VG Kim, W Li, NJ Mitra, S Chaudhuri, S DiVerdi, T Funkhouser
ACM Transactions on Graphics (TOG) 32 (4), 1-12, 2013
1642013
3D shape segmentation with projective convolutional networks
E Kalogerakis, M Averkiou, S Maji, S Chaudhuri
Proc. CVPR 1 (2), 8, 2017
1522017
Data-driven suggestions for creativity support in 3D modeling
S Chaudhuri, V Koltun
ACM Transactions on Graphics (TOG) 29 (6), 183, 2010
1402010
Semantic shape editing using deformation handles
ME Yumer, S Chaudhuri, JK Hodgins, LB Kara
ACM Transactions on Graphics (TOG) 34 (4), 1-12, 2015
1072015
Attribit: content creation with semantic attributes
S Chaudhuri, E Kalogerakis, S Giguere, T Funkhouser
Proceedings of the 26th annual ACM symposium on User interface software and …, 2013
922013
GRASS: Generative recursive autoencoders for shape structures
J Li, K Xu, S Chaudhuri, E Yumer, H Zhang, L Guibas
ACM Transactions on Graphics (TOG) 36 (4), 52, 2017
912017
Shape2pose: Human-centric shape analysis
VG Kim, S Chaudhuri, L Guibas, T Funkhouser
ACM Transactions on Graphics (TOG) 33 (4), 1-12, 2014
892014
Learning local shape descriptors from part correspondences with multiview convolutional networks
H Huang, E Kalogerakis, S Chaudhuri, D Ceylan, VG Kim, E Yumer
ACM Transactions on Graphics (TOG) 37 (1), 1-14, 2017
592017
Creating consistent scene graphs using a probabilistic grammar
T Liu, S Chaudhuri, VG Kim, Q Huang, NJ Mitra, T Funkhouser
ACM Transactions on Graphics (TOG) 33 (6), 1-12, 2014
572014
Generalizing across domains via cross-gradient training
S Shankar, V Piratla, S Chakrabarti, S Chaudhuri, P Jyothi, S Sarawagi
Proc. ICLR, 2018
412018
ComplementMe: weakly-supervised component suggestions for 3D modeling
M Sung, H Su, VG Kim, S Chaudhuri, L Guibas
ACM Transactions on Graphics (TOG) 36 (6), 226, 2017
272017
Smoothed analysis of probabilistic roadmaps
S Chaudhuri, V Koltun
Computational Geometry 42 (8), 731-747, 2009
262009
GRAINS: Generative recursive autoencoders for indoor scenes
M Li, AG Patil, K Xu, S Chaudhuri, O Khan, A Shamir, C Tu, B Chen, ...
ACM Transactions on Graphics (TOG) 38 (2), 12, 2019
232019
Tags2Parts: Discovering Semantic Regions from Shape Tags
S Muralikrishnan, VG Kim, S Chaudhuri
Proc. CVPR, 2926-2935, 2018
122018
A deep recurrent framework for cleaning motion capture data
U Mall, GR Lal, S Chaudhuri, P Chaudhuri
arXiv preprint arXiv:1712.03380, 2017
122017
Distributed rendering of virtual worlds
S Chaudhuri, D Horn, P Hanrahan, V Koltun
In Technical Report CSTR 2008–02, 2008
102008
BAE-NET: Branched Autoencoder for Shape Co-Segmentation
Z Chen, K Yin, M Fisher, S Chaudhuri, H Zhang
Proc. ICCV, 2019
92019
SCORES: Shape composition with recursive substructure priors
C Zhu, K Xu, S Chaudhuri, R Yi, H Zhang
ACM Transactions on Graphics (TOG) 37 (6), 211, 2018
92018
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Articles 1–20