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) (Proc. SIGGRAPH) 31 (4), 2012
3092012
Probabilistic reasoning for assembly-based 3D modeling
S Chaudhuri, E Kalogerakis, L Guibas, V Koltun
ACM Transactions on Graphics (TOG) (Proc. SIGGRAPH) 30 (4), 2011
2352011
3D shape segmentation with projective convolutional networks
E Kalogerakis, M Averkiou, S Maji, S Chaudhuri
CVPR (oral), 2017
1882017
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) (Proc. SIGGRAPH) 32 (4), 2013
1742013
Data-driven suggestions for creativity support in 3D modeling
S Chaudhuri, V Koltun
ACM Transactions on Graphics (TOG) (Proc. SIGGRAPH Asia) 29 (6), 2010
1562010
GRASS: Generative recursive autoencoders for shape structures
J Li, K Xu, S Chaudhuri, E Yumer, H Zhang, L Guibas
ACM Transactions on Graphics (TOG) (Proc. SIGGRAPH) 36 (4), 2017
1212017
Semantic shape editing using deformation handles
ME Yumer, S Chaudhuri, JK Hodgins, LB Kara
ACM Transactions on Graphics (TOG) (Proc. SIGGRAPH) 34 (4), 2015
1132015
AttribIt: content creation with semantic attributes
S Chaudhuri, E Kalogerakis, S Giguere, T Funkhouser
UIST, 193-202, 2013
992013
Shape2Pose: Human-centric shape analysis
VG Kim, S Chaudhuri, L Guibas, T Funkhouser
ACM Transactions on Graphics (TOG) (Proc. SIGGRAPH) 33 (4), 2014
982014
Generalizing across domains via cross-gradient training
S Shankar, V Piratla, S Chakrabarti, S Chaudhuri, P Jyothi, S Sarawagi
ICLR, 2018
792018
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), 2017
782017
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) (Proc. SIGGRAPH Asia) 33 (6), 2014
632014
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), 2019
472019
ComplementMe: weakly-supervised component suggestions for 3D modeling
M Sung, H Su, VG Kim, S Chaudhuri, L Guibas
ACM Transactions on Graphics (TOG) (Proc. SIGGRAPH Asia) 36 (6), 2017
402017
Smoothed analysis of probabilistic roadmaps
S Chaudhuri, V Koltun
Computational Geometry 42 (8), 731-747, 2009
282009
SCORES: Shape composition with recursive substructure priors
C Zhu, K Xu, S Chaudhuri, R Yi, H Zhang
ACM Transactions on Graphics (TOG) (Proc. SIGGRAPH Asia) 37 (6), 2018
172018
A deep recurrent framework for cleaning motion capture data
U Mall, GR Lal, S Chaudhuri, P Chaudhuri
arXiv preprint arXiv:1712.03380, 2017
162017
Tags2Parts: Discovering Semantic Regions from Shape Tags
S Muralikrishnan, VG Kim, S Chaudhuri
CVPR, 2926-2935, 2018
152018
BAE-NET: Branched Autoencoder for Shape Co-Segmentation
Z Chen, K Yin, M Fisher, S Chaudhuri, H Zhang
ICCV, 2019
142019
Distributed rendering of virtual worlds
S Chaudhuri, D Horn, P Hanrahan, V Koltun
In Technical Report CSTR 2008–02, 2008
102008
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Articles 1–20