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2020 – today
- 2024
[c33]Sanjeev Muralikrishnan
, Niladri Shekhar Dutt, Siddhartha Chaudhuri, Noam Aigerman, Vladimir G. Kim, Matthew Fisher, Niloy J. Mitra:
Temporal Residual Jacobians for Rig-Free Motion Transfer. ECCV (58) 2024: 93-109- [c32]Qimin Chen, Zhiqin Chen, Vladimir G. Kim, Noam Aigerman, Hao (Richard) Zhang, Siddhartha Chaudhuri:
DECOLLAGE: 3D Detailization by Controllable, Localized, and Learned Geometry Enhancement. ECCV (39) 2024: 110-127 - [c31]R. Kenny Jones, Siddhartha Chaudhuri, Daniel Ritchie:
Learning to Infer Generative Template Programs for Visual Concepts. ICML 2024 - [c30]Dmitry Petrov, Pradyumn Goyal, Vikas Thamizharasan, Vladimir G. Kim, Matheus Gadelha, Melinos Averkiou, Siddhartha Chaudhuri, Evangelos Kalogerakis:
GEM3D: GEnerative Medial Abstractions for 3D Shape Synthesis. SIGGRAPH (Conference Paper Track) 2024: 92 - [i38]Dmitry Petrov, Pradyumn Goyal, Vikas Thamizharasan, Vladimir G. Kim, Matheus Gadelha, Melinos Averkiou, Siddhartha Chaudhuri, Evangelos Kalogerakis:
GEM3D: GEnerative Medial Abstractions for 3D Shape Synthesis. CoRR abs/2402.16994 (2024) - [i37]R. Kenny Jones, Siddhartha Chaudhuri, Daniel Ritchie:
Learning to Infer Generative Template Programs for Visual Concepts. CoRR abs/2403.15476 (2024) - [i36]Sanjeev Muralikrishnan, Niladri Shekhar Dutt, Siddhartha Chaudhuri, Noam Aigerman, Vladimir G. Kim, Matthew Fisher, Niloy J. Mitra:
Temporal Residual Jacobians For Rig-free Motion Transfer. CoRR abs/2407.14958 (2024) - [i35]Qimin Chen, Zhiqin Chen, Vladimir G. Kim, Noam Aigerman, Hao Zhang, Siddhartha Chaudhuri:
DECOLLAGE: 3D Detailization by Controllable, Localized, and Learned Geometry Enhancement. CoRR abs/2409.06129 (2024) - 2023
- [c29]Xianghao Xu, Paul Guerrero, Matthew Fisher, Siddhartha Chaudhuri, Daniel Ritchie:
Unsupervised 3D Shape Reconstruction by Part Retrieval and Assembly. CVPR 2023: 8559-8567 - [c28]Arman Maesumi, Paul Guerrero, Noam Aigerman, Vladimir G. Kim, Matthew Fisher, Siddhartha Chaudhuri, Daniel Ritchie:
Explorable Mesh Deformation Subspaces from Unstructured 3D Generative Models. SIGGRAPH Asia 2023: 68:1-68:11 - [i34]Xianghao Xu, Paul Guerrero, Matthew Fisher, Siddhartha Chaudhuri, Daniel Ritchie:
Unsupervised 3D Shape Reconstruction by Part Retrieval and Assembly. CoRR abs/2303.01999 (2023) - [i33]Otman Benchekroun, Jiayi Eris Zhang, Siddhartha Chaudhuri, Eitan Grinspun, Yi Zhou, Alec Jacobson:
Fast Complementary Dynamics via Skinning Eigenmodes. CoRR abs/2303.11886 (2023) - [i32]Arman Maesumi, Paul Guerrero, Vladimir G. Kim, Matthew Fisher, Siddhartha Chaudhuri, Noam Aigerman, Daniel Ritchie:
Explorable Mesh Deformation Subspaces from Unstructured Generative Models. CoRR abs/2310.07814 (2023) - 2022
- [j17]Noam Aigerman, Kunal Gupta, Vladimir G. Kim, Siddhartha Chaudhuri, Jun Saito, Thibault Groueix:
Neural jacobian fields: learning intrinsic mappings of arbitrary meshes. ACM Trans. Graph. 41(4): 109:1-109:17 (2022) - [j16]Danyong Zhao, Yijing Li, Siddhartha Chaudhuri, Timothy R. Langlois, Jernej Barbic:
ERGOBOSS: onomic ptimization of dy-upporting urfaces. IEEE Trans. Vis. Comput. Graph. 28(12): 4032-4047 (2022) - [c27]Sanjeev Muralikrishnan, Siddhartha Chaudhuri, Noam Aigerman, Vladimir G. Kim, Matthew Fisher, Niloy J. Mitra:
GLASS: Geometric Latent Augmentation for Shape Spaces. CVPR 2022: 470-479 - [c26]Bo Sun, Vladimir G. Kim, Noam Aigerman, Qixing Huang, Siddhartha Chaudhuri:
PatchRD: Detail-Preserving Shape Completion by Learning Patch Retrieval and Deformation. ECCV (3) 2022: 503-522 - [c25]Kai Wang, Paul Guerrero, Vladimir G. Kim, Siddhartha Chaudhuri, Minhyuk Sung, Daniel Ritchie:
The Shape Part Slot Machine: Contact-Based Reasoning for Generating 3D Shapes from Parts. ECCV (3) 2022: 610-626 - [i31]Noam Aigerman, Kunal Gupta, Vladimir G. Kim, Siddhartha Chaudhuri, Jun Saito, Thibault Groueix:
Neural Jacobian Fields: Learning Intrinsic Mappings of Arbitrary Meshes. CoRR abs/2205.02904 (2022) - [i30]Bo Sun, Vladimir G. Kim, Noam Aigerman, Qixing Huang, Siddhartha Chaudhuri:
PatchRD: Detail-Preserving Shape Completion by Learning Patch Retrieval and Deformation. CoRR abs/2207.11790 (2022) - 2021
- [c24]Mikaela Angelina Uy, Vladimir G. Kim, Minhyuk Sung, Noam Aigerman, Siddhartha Chaudhuri, Leonidas J. Guibas:
Joint Learning of 3D Shape Retrieval and Deformation. CVPR 2021: 11713-11722 - [c23]Zhiqin Chen, Vladimir G. Kim, Matthew Fisher, Noam Aigerman, Hao Zhang, Siddhartha Chaudhuri:
DECOR-GAN: 3D Shape Detailization by Conditional Refinement. CVPR 2021: 15740-15749 - [c22]Pratheba Selvaraju, Mohamed Nabail, Marios Loizou, Maria Maslioukova, Melinos Averkiou, Andreas Andreou, Siddhartha Chaudhuri, Evangelos Kalogerakis:
BuildingNet: Learning to Label 3D Buildings. ICCV 2021: 10377-10387 - [c21]Jan Bednarík, Vladimir G. Kim, Siddhartha Chaudhuri, Shaifali Parashar, Mathieu Salzmann, Pascal Fua, Noam Aigerman:
Temporally-Coherent Surface Reconstruction via Metric-Consistent Atlases. ICCV 2021: 10438-10447 - [c20]Priyadarshini Kumari, Siddhartha Chaudhuri, Vivek S. Borkar, Subhasis Chaudhuri:
A Unified Batch Selection Policy for Active Metric Learning. ECML/PKDD (2) 2021: 599-616 - [i29]Mikaela Angelina Uy, Vladimir G. Kim, Minhyuk Sung, Noam Aigerman, Siddhartha Chaudhuri, Leonidas J. Guibas:
Joint Learning of 3D Shape Retrieval and Deformation. CoRR abs/2101.07889 (2021) - [i28]Priyadarshini Kumari, Siddhartha Chaudhuri, Vivek S. Borkar, Subhasis Chaudhuri:
Maximizing Conditional Entropy for Batch-Mode Active Learning of Perceptual Metrics. CoRR abs/2102.07365 (2021) - [i27]Jan Bednarík, Vladimir G. Kim, Siddhartha Chaudhuri, Shaifali Parashar, Mathieu Salzmann, Pascal Fua, Noam Aigerman:
Temporally-Coherent Surface Reconstruction via Metric-Consistent Atlases. CoRR abs/2104.06950 (2021) - [i26]Sanjeev Muralikrishnan, Siddhartha Chaudhuri, Noam Aigerman, Vladimir G. Kim, Matthew Fisher, Niloy J. Mitra:
GLASS: Geometric Latent Augmentation for Shape Spaces. CoRR abs/2108.03225 (2021) - [i25]Pratheba Selvaraju, Mohamed Nabail, Marios Loizou, Maria Maslioukova, Melinos Averkiou, Andreas Andreou, Siddhartha Chaudhuri, Evangelos Kalogerakis:
BuildingNet: Learning to Label 3D Buildings. CoRR abs/2110.04955 (2021) - [i24]Jan Bednarík, Noam Aigerman, Vladimir G. Kim, Siddhartha Chaudhuri, Shaifali Parashar, Mathieu Salzmann, Pascal Fua:
Temporally-Consistent Surface Reconstruction using Metrically-Consistent Atlases. CoRR abs/2111.06838 (2021) - [i23]Sumit Chaturvedi, Michal Lukác, Siddhartha Chaudhuri:
ReGroup: Recursive Neural Networks for Hierarchical Grouping of Vector Graphic Primitives. CoRR abs/2111.11759 (2021) - [i22]Kai Wang, Paul Guerrero, Vladimir G. Kim, Siddhartha Chaudhuri, Minhyuk Sung, Daniel Ritchie:
The Shape Part Slot Machine: Contact-based Reasoning for Generating 3D Shapes from Parts. CoRR abs/2112.00584 (2021) - 2020
- [j15]Siddhartha Chaudhuri, Daniel Ritchie, Jiajun Wu, Kai Xu, Hao (Richard) Zhang:
Learning Generative Models of 3D Structures. Comput. Graph. Forum 39(2): 643-666 (2020) - [j14]Hsueh-Ti Derek Liu, Vladimir G. Kim, Siddhartha Chaudhuri, Noam Aigerman, Alec Jacobson:
Neural subdivision. ACM Trans. Graph. 39(4): 124 (2020) - [c19]Kangxue Yin, Zhiqin Chen, Siddhartha Chaudhuri, Matthew Fisher, Vladimir G. Kim, Hao (Richard) Zhang:
COALESCE: Component Assembly by Learning to Synthesize Connections. 3DV 2020: 61-70 - [c18]Xianghao Xu, David Charatan, Sonia Raychaudhuri, Hanxiao Jiang, Mae Heitmann, Vladimir G. Kim, Siddhartha Chaudhuri, Manolis Savva, Angel X. Chang, Daniel Ritchie:
Motion Annotation Programs: A Scalable Approach to Annotating Kinematic Articulations in Large 3D Shape Collections. 3DV 2020: 613-622 - [c17]Yifan Wang, Noam Aigerman, Vladimir G. Kim, Siddhartha Chaudhuri, Olga Sorkine-Hornung:
Neural Cages for Detail-Preserving 3D Deformations. CVPR 2020: 72-80 - [c16]Chu Wang, Babak Samari, Vladimir G. Kim, Siddhartha Chaudhuri, Kaleem Siddiqi:
Affinity Graph Supervision for Visual Recognition. CVPR 2020: 8244-8252 - [c15]Chenyang Zhu, Kai Xu, Siddhartha Chaudhuri, Li Yi, Leonidas J. Guibas, Hao Zhang:
AdaCoSeg: Adaptive Shape Co-Segmentation With Group Consistency Loss. CVPR 2020: 8540-8549 - [c14]Gopal Sharma, Difan Liu, Subhransu Maji, Evangelos Kalogerakis, Siddhartha Chaudhuri, Radomír Mech:
ParSeNet: A Parametric Surface Fitting Network for 3D Point Clouds. ECCV (7) 2020: 261-276 - [c13]Priyadarshini Kumari, Ritesh Goru, Siddhartha Chaudhuri, Subhasis Chaudhuri:
Batch Decorrelation for Active Metric Learning. IJCAI 2020: 2255-2261 - [i21]Chu Wang, Babak Samari, Vladimir G. Kim, Siddhartha Chaudhuri, Kaleem Siddiqi:
Affinity Graph Supervision for Visual Recognition. CoRR abs/2003.09049 (2020) - [i20]Gopal Sharma, Difan Liu, Evangelos Kalogerakis, Subhransu Maji, Siddhartha Chaudhuri, Radomír Mech:
ParSeNet: A Parametric Surface Fitting Network for 3D Point Clouds. CoRR abs/2003.12181 (2020) - [i19]Hsueh-Ti Derek Liu, Vladimir G. Kim, Siddhartha Chaudhuri, Noam Aigerman, Alec Jacobson:
Neural Subdivision. CoRR abs/2005.01819 (2020) - [i18]Priyadarshini Kumari, Ritesh Goru, Siddhartha Chaudhuri, Subhasis Chaudhuri:
Batch Decorrelation for Active Metric Learning. CoRR abs/2005.10008 (2020) - [i17]Kangxue Yin, Zhiqin Chen, Siddhartha Chaudhuri, Matthew Fisher, Vladimir G. Kim, Hao Zhang:
COALESCE: Component Assembly by Learning to Synthesize Connections. CoRR abs/2008.01936 (2020) - [i16]Zhiqin Chen, Vladimir G. Kim, Matthew Fisher, Noam Aigerman, Hao (Richard) Zhang, Siddhartha Chaudhuri:
DECOR-GAN: 3D Shape Detailization by Conditional Refinement. CoRR abs/2012.09159 (2020)
2010 – 2019
- 2019
- [j13]Manyi Li, Akshay Gadi Patil, Kai Xu, Siddhartha Chaudhuri, Owais Khan, Ariel Shamir, Changhe Tu, Baoquan Chen, Daniel Cohen-Or, Hao (Richard) Zhang:
GRAINS: Generative Recursive Autoencoders for INdoor Scenes. ACM Trans. Graph. 38(2): 12:1-12:16 (2019) - [c12]Sanjeev Muralikrishnan, Vladimir G. Kim, Matthew Fisher, Siddhartha Chaudhuri:
Shape Unicode: A Unified Shape Representation. CVPR 2019: 3790-3799 - [c11]Siddhartha Chaudhuri, Daniel Ritchie, Kai Xu, Hao (Richard) Zhang:
Learning Generative Models of 3D Structures. Eurographics (Tutorials) 2019: 47-51 - [c10]Priyadarshini Kumari, Siddhartha Chaudhuri, Subhasis Chaudhuri:
PerceptNet: Learning Perceptual Similarity of Haptic Textures in Presence of Unorderable Triplets. WHC 2019: 163-168 - [c9]Zhiqin Chen, Kangxue Yin, Matthew Fisher, Siddhartha Chaudhuri, Hao Zhang:
BAE-NET: Branched Autoencoder for Shape Co-Segmentation. ICCV 2019: 8489-8498 - [i15]Chenyang Zhu, Kai Xu, Siddhartha Chaudhuri, Li Yi, Leonidas J. Guibas, Hao Zhang:
CoSegNet: Deep Co-Segmentation of 3D Shapes with Group Consistency Loss. CoRR abs/1903.10297 (2019) - [i14]Zhiqin Chen, Kangxue Yin, Matthew Fisher, Siddhartha Chaudhuri, Hao Zhang:
BAE-NET: Branched Autoencoder for Shape Co-Segmentation. CoRR abs/1903.11228 (2019) - [i13]Priyadarshini Kumari, Siddhartha Chaudhuri, Subhasis Chaudhuri:
PerceptNet: Learning Perceptual Similarity of Haptic Textures in Presence of Unorderable Triplets. CoRR abs/1905.03302 (2019) - [i12]Chu Wang, Babak Samari, Vladimir G. Kim, Siddhartha Chaudhuri, Kaleem Siddiqi:
FAN: Focused Attention Networks. CoRR abs/1905.11498 (2019) - [i11]Yifan Wang, Noam Aigerman, Vladimir G. Kim, Siddhartha Chaudhuri, Olga Sorkine-Hornung:
Neural Cages for Detail-Preserving 3D Deformations. CoRR abs/1912.06395 (2019) - 2018
- [j12]Haibin Huang, Evangelos Kalogerakis, Siddhartha Chaudhuri, Duygu Ceylan, Vladimir G. Kim, Ersin Yumer:
Learning Local Shape Descriptors from Part Correspondences with Multiview Convolutional Networks. ACM Trans. Graph. 37(1): 6 (2018) - [j11]Chenyang Zhu, Kai Xu, Siddhartha Chaudhuri, Renjiao Yi, Hao Zhang:
SCORES: shape composition with recursive substructure priors. ACM Trans. Graph. 37(6): 211 (2018) - [c8]Hubert Lin, Melinos Averkiou, Evangelos Kalogerakis, Balazs Kovacs, Siddhant Ranade, Vladimir G. Kim, Siddhartha Chaudhuri, Kavita Bala:
Learning Material-Aware Local Descriptors for 3D Shapes. 3DV 2018: 150-159 - [c7]Sanjeev Muralikrishnan, Vladimir G. Kim, Siddhartha Chaudhuri:
Tags2Parts: Discovering Semantic Regions From Shape Tags. CVPR 2018: 2926-2935 - [c6]Shiv Shankar, Vihari Piratla, Soumen Chakrabarti, Siddhartha Chaudhuri, Preethi Jyothi, Sunita Sarawagi:
Generalizing Across Domains via Cross-Gradient Training. ICLR (Poster) 2018 - [i10]Shiv Shankar, Vihari Piratla, Soumen Chakrabarti, Siddhartha Chaudhuri, Preethi Jyothi, Sunita Sarawagi:
Generalizing Across Domains via Cross-Gradient Training. CoRR abs/1804.10745 (2018) - [i9]Manyi Li, Akshay Gadi Patil, Kai Xu, Siddhartha Chaudhuri, Owais Khan, Ariel Shamir, Changhe Tu, Baoquan Chen, Daniel Cohen-Or, Hao (Richard) Zhang:
GRAINS: Generative Recursive Autoencoders for INdoor Scenes. CoRR abs/1807.09193 (2018) - [i8]Chenyang Zhu, Kai Xu, Siddhartha Chaudhuri, Renjiao Yi, Hao Zhang:
SCORES: Shape Composition with Recursive Substructure Priors. CoRR abs/1809.05398 (2018) - [i7]Hubert Lin, Melinos Averkiou, Evangelos Kalogerakis, Balazs Kovacs, Siddhant Ranade, Vladimir G. Kim, Siddhartha Chaudhuri, Kavita Bala:
Learning Material-Aware Local Descriptors for 3D Shapes. CoRR abs/1810.08729 (2018) - 2017
- [j10]Jun Li, Kai Xu, Siddhartha Chaudhuri, Ersin Yumer, Hao (Richard) Zhang, Leonidas J. Guibas:
GRASS: generative recursive autoencoders for shape structures. ACM Trans. Graph. 36(4): 52:1-52:14 (2017) - [j9]Minhyuk Sung, Hao Su, Vladimir G. Kim, Siddhartha Chaudhuri, Leonidas J. Guibas:
Complementme: weakly-supervised component suggestions for 3D modeling. ACM Trans. Graph. 36(6): 226:1-226:12 (2017) - [c5]Evangelos Kalogerakis, Melinos Averkiou, Subhransu Maji, Siddhartha Chaudhuri:
3D Shape Segmentation with Projective Convolutional Networks. CVPR 2017: 6630-6639 - [i6]Jun Li, Kai Xu, Siddhartha Chaudhuri, Ersin Yumer, Hao Zhang, Leonidas J. Guibas:
GRASS: Generative Recursive Autoencoders for Shape Structures. CoRR abs/1705.02090 (2017) - [i5]Haibin Huang, Evangelos Kalogerakis, Siddhartha Chaudhuri, Duygu Ceylan, Vladimir G. Kim, Ersin Yumer:
Learning local shape descriptors with view-based convolutional networks. CoRR abs/1706.04496 (2017) - [i4]Minhyuk Sung, Hao Su, Vladimir G. Kim, Siddhartha Chaudhuri, Leonidas J. Guibas:
ComplementMe: Weakly-Supervised Component Suggestions for 3D Modeling. CoRR abs/1708.01841 (2017) - [i3]Sanjeev Muralikrishnan, Vladimir G. Kim, Siddhartha Chaudhuri:
Tags2Parts: Discovering Semantic Regions from Shape Tags. CoRR abs/1708.06673 (2017) - [i2]Utkarsh Mall, G. Roshan Lal, Siddhartha Chaudhuri, Parag Chaudhuri:
A Deep Recurrent Framework for Cleaning Motion Capture Data. CoRR abs/1712.03380 (2017) - 2016
- [j8]Xuekun Guo, Juncong Lin, Kai Xu, Siddhartha Chaudhuri, Xiaogang Jin:
CustomCut: On-demand Extraction of Customized 3D Parts with 2D Sketches. Comput. Graph. Forum 35(5): 89-100 (2016) - [i1]Evangelos Kalogerakis, Melinos Averkiou, Subhransu Maji, Siddhartha Chaudhuri:
3D Shape Segmentation with Projective Convolutional Networks. CoRR abs/1612.02808 (2016) - 2015
- [j7]Mehmet Ersin Yümer, Siddhartha Chaudhuri, Jessica K. Hodgins, Levent Burak Kara:
Semantic shape editing using deformation handles. ACM Trans. Graph. 34(4): 86:1-86:12 (2015) - 2014
- [j6]Vladimir G. Kim, Siddhartha Chaudhuri, Leonidas J. Guibas, Thomas A. Funkhouser:
Shape2Pose: human-centric shape analysis. ACM Trans. Graph. 33(4): 120:1-120:12 (2014) - 2013
- [j5]Vladimir G. Kim, Wilmot Li, Niloy J. Mitra, Siddhartha Chaudhuri, Stephen DiVerdi, Thomas A. Funkhouser:
Learning part-based templates from large collections of 3D shapes. ACM Trans. Graph. 32(4): 70:1-70:12 (2013) - [c4]Siddhartha Chaudhuri, Evangelos Kalogerakis, Stephen Giguere, Thomas A. Funkhouser:
Attribit: content creation with semantic attributes. UIST 2013: 193-202 - 2012
- [j4]Evangelos Kalogerakis, Siddhartha Chaudhuri, Daphne Koller, Vladlen Koltun:
A probabilistic model for component-based shape synthesis. ACM Trans. Graph. 31(4): 55:1-55:11 (2012) - 2011
- [b1]Siddhartha Chaudhuri:
3D modeling with data-driven suggestions. Stanford University, USA, 2011 - [j3]Siddhartha Chaudhuri, Evangelos Kalogerakis, Leonidas J. Guibas, Vladlen Koltun:
Probabilistic reasoning for assembly-based 3D modeling. ACM Trans. Graph. 30(4): 35 (2011) - 2010
- [j2]Siddhartha Chaudhuri, Vladlen Koltun:
Data-driven suggestions for creativity support in 3D modeling. ACM Trans. Graph. 29(6): 183 (2010)
2000 – 2009
- 2009
- [j1]Siddhartha Chaudhuri, Vladlen Koltun:
Smoothed analysis of probabilistic roadmaps. Comput. Geom. 42(8): 731-747 (2009) - 2007
- [c3]Siddhartha Chaudhuri, Vladlen Koltun:
Smoothed Analysis of Probabilistic Roadmaps. ANALCO 2007: 250-264 - 2005
- [c2]Siddhartha Chaudhuri, Randhir Kumar Singh, Edoardo Charbon:
Feature-based techniques for real-time morphable model facial image analysis. Electronic Imaging: Image and Video Communications and Processing 2005 - [c1]Siddhartha Chaudhuri, Ratan K. Ghosh, Sajal K. Das:
Towards optimal sensor placement with hypercube cutting planes. WCNC 2005: 1836-1841
Coauthor Index
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