Siddhartha Chaudhuri

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 73

Top Topics

Shape Descriptors

Shape Reconstruction

Metric Learning

Top Venues

ACM Trans. Graph.

Publications

R. Kenny Jones, Siddhartha Chaudhuri, Daniel Ritchie
Learning to Infer Generative Template Programs for Visual Concepts. CoRR (2024)
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 (2024)
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)
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 (2024)
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)
Otman Benchekroun, Jiayi Eris Zhang, Siddhartha Chaudhuri, Eitan Grinspun, Yi Zhou, Alec Jacobson
Fast Complementary Dynamics via Skinning Eigenmodes. CoRR (2023)
Arman Maesumi, Paul Guerrero, Vladimir G. Kim, Matthew Fisher, Siddhartha Chaudhuri, Noam Aigerman, Daniel Ritchie
Explorable Mesh Deformation Subspaces from Unstructured Generative Models. CoRR (2023)
Xianghao Xu, Paul Guerrero, Matthew Fisher, Siddhartha Chaudhuri, Daniel Ritchie
Unsupervised 3D Shape Reconstruction by Part Retrieval and Assembly. CVPR (2023)
Xianghao Xu, Paul Guerrero, Matthew Fisher, Siddhartha Chaudhuri, Daniel Ritchie
Unsupervised 3D Shape Reconstruction by Part Retrieval and Assembly. CoRR (2023)
Sanjeev Muralikrishnan, Siddhartha Chaudhuri, Noam Aigerman, Vladimir G. Kim, Matthew Fisher, Niloy J. Mitra
GLASS: Geometric Latent Augmentation for Shape Spaces. CVPR (2022)
Danyong Zhao, Yijing Li, Siddhartha Chaudhuri, Timothy Langlois, Jernej Barbic
ERGOBOSS: onomic ptimization of dy-upporting urfaces. IEEE Trans. Vis. Comput. Graph. 28 (12) (2022)
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)
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)
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) (2022)
Noam Aigerman, Kunal Gupta, Vladimir G. Kim, Siddhartha Chaudhuri, Jun Saito, Thibault Groueix
Neural Jacobian Fields: Learning Intrinsic Mappings of Arbitrary Meshes. CoRR (2022)
Bo Sun, Vladimir G. Kim, Noam Aigerman, Qixing Huang, Siddhartha Chaudhuri
PatchRD: Detail-Preserving Shape Completion by Learning Patch Retrieval and Deformation. CoRR (2022)
Mikaela Angelina Uy, Vladimir G. Kim, Minhyuk Sung, Noam Aigerman, Siddhartha Chaudhuri, Leonidas J. Guibas
Joint Learning of 3D Shape Retrieval and Deformation. CoRR (2021)
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)
Sumit Chaturvedi, Michal Lukác, Siddhartha Chaudhuri
ReGroup: Recursive Neural Networks for Hierarchical Grouping of Vector Graphic Primitives. CoRR (2021)
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 (2021)
Priyadarshini Kumari, Siddhartha Chaudhuri, Vivek S. Borkar, Subhasis Chaudhuri
A Unified Batch Selection Policy for Active Metric Learning. ECML/PKDD (2) (2021)
Pratheba Selvaraju, Mohamed Nabail, Marios Loizou, Maria Maslioukova, Melinos Averkiou, Andreas Andreou, Siddhartha Chaudhuri, Evangelos Kalogerakis
BuildingNet: Learning to Label 3D Buildings. ICCV (2021)
Zhiqin Chen, Vladimir G. Kim, Matthew Fisher, Noam Aigerman, Hao Zhang, Siddhartha Chaudhuri
DECOR-GAN: 3D Shape Detailization by Conditional Refinement. CVPR (2021)
Sanjeev Muralikrishnan, Siddhartha Chaudhuri, Noam Aigerman, Vladimir G. Kim, Matthew Fisher, Niloy J. Mitra
GLASS: Geometric Latent Augmentation for Shape Spaces. CoRR (2021)
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)
Jan Bednarík, Vladimir G. Kim, Siddhartha Chaudhuri, Shaifali Parashar, Mathieu Salzmann, Pascal Fua, Noam Aigerman
Temporally-Coherent Surface Reconstruction via Metric-Consistent Atlases. CoRR (2021)
Priyadarshini Kumari, Siddhartha Chaudhuri, Vivek S. Borkar, Subhasis Chaudhuri
Maximizing Conditional Entropy for Batch-Mode Active Learning of Perceptual Metrics. CoRR (2021)
Jan Bednarík, Noam Aigerman, Vladimir G. Kim, Siddhartha Chaudhuri, Shaifali Parashar, Mathieu Salzmann, Pascal Fua
Temporally-Consistent Surface Reconstruction using Metrically-Consistent Atlases. CoRR (2021)
Pratheba Selvaraju, Mohamed Nabail, Marios Loizou, Maria Maslioukova, Melinos Averkiou, Andreas Andreou, Siddhartha Chaudhuri, Evangelos Kalogerakis
BuildingNet: Learning to Label 3D Buildings. CoRR (2021)
Gopal Sharma, Difan Liu, Evangelos Kalogerakis, Subhransu Maji, Siddhartha Chaudhuri, Radomír Mech
ParSeNet: A Parametric Surface Fitting Network for 3D Point Clouds. CoRR (2020)
Kangxue Yin, Zhiqin Chen, Siddhartha Chaudhuri, Matthew Fisher, Vladimir G. Kim, Hao Zhang
COALESCE: Component Assembly by Learning to Synthesize Connections. CoRR (2020)
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)
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)
Siddhartha Chaudhuri, Daniel Ritchie, Jiajun Wu, Kai Xu, Hao (Richard) Zhang
Learning Generative Models of 3D Structures. Comput. Graph. Forum 39 (2) (2020)
Priyadarshini Kumari, Ritesh Goru, Siddhartha Chaudhuri, Subhasis Chaudhuri
Batch Decorrelation for Active Metric Learning. IJCAI (2020)
Chenyang Zhu, Kai Xu, Siddhartha Chaudhuri, Li Yi, Leonidas J. Guibas, Hao Zhang
AdaCoSeg: Adaptive Shape Co-Segmentation With Group Consistency Loss. CVPR (2020)
Priyadarshini Kumari, Ritesh Goru, Siddhartha Chaudhuri, Subhasis Chaudhuri
Batch Decorrelation for Active Metric Learning. CoRR (2020)
Yifan Wang, Noam Aigerman, Vladimir G. Kim, Siddhartha Chaudhuri, Olga Sorkine-Hornung
Neural Cages for Detail-Preserving 3D Deformations. CVPR (2020)
Zhiqin Chen, Vladimir G. Kim, Matthew Fisher, Noam Aigerman, Hao (Richard) Zhang, Siddhartha Chaudhuri
DECOR-GAN: 3D Shape Detailization by Conditional Refinement. CoRR (2020)
Kangxue Yin, Zhiqin Chen, Siddhartha Chaudhuri, Matthew Fisher, Vladimir G. Kim, Hao (Richard) Zhang
COALESCE: Component Assembly by Learning to Synthesize Connections. 3DV (2020)
Chu Wang, Babak Samari, Vladimir G. Kim, Siddhartha Chaudhuri, Kaleem Siddiqi
Affinity Graph Supervision for Visual Recognition. CVPR (2020)
Hsueh-Ti Derek Liu, Vladimir G. Kim, Siddhartha Chaudhuri, Noam Aigerman, Alec Jacobson
Neural subdivision. ACM Trans. Graph. 39 (4) (2020)
Chu Wang, Babak Samari, Vladimir G. Kim, Siddhartha Chaudhuri, Kaleem Siddiqi
Affinity Graph Supervision for Visual Recognition. CoRR (2020)
Hsueh-Ti Derek Liu, Vladimir G. Kim, Siddhartha Chaudhuri, Noam Aigerman, Alec Jacobson
Neural Subdivision. CoRR (2020)
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) (2019)
Zhiqin Chen, Kangxue Yin, Matthew Fisher, Siddhartha Chaudhuri, Hao Zhang
BAE-NET: Branched Autoencoder for Shape Co-Segmentation. CoRR (2019)
Zhiqin Chen, Kangxue Yin, Matthew Fisher, Siddhartha Chaudhuri, Hao Zhang
BAE-NET: Branched Autoencoder for Shape Co-Segmentation. ICCV (2019)
Chu Wang, Babak Samari, Vladimir G. Kim, Siddhartha Chaudhuri, Kaleem Siddiqi
FAN: Focused Attention Networks. CoRR (2019)
Siddhartha Chaudhuri, Daniel Ritchie, Kai Xu, Hao (Richard) Zhang
Learning Generative Models of 3D Structures. Eurographics (Tutorials) (2019)
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 (2019)
Yifan Wang, Noam Aigerman, Vladimir G. Kim, Siddhartha Chaudhuri, Olga Sorkine-Hornung
Neural Cages for Detail-Preserving 3D Deformations. CoRR (2019)
Priyadarshini Kumari, Siddhartha Chaudhuri, Subhasis Chaudhuri
PerceptNet: Learning Perceptual Similarity of Haptic Textures in Presence of Unorderable Triplets. WHC (2019)
Priyadarshini Kumari, Siddhartha Chaudhuri, Subhasis Chaudhuri
PerceptNet: Learning Perceptual Similarity of Haptic Textures in Presence of Unorderable Triplets. CoRR (2019)
Sanjeev Muralikrishnan, Vladimir G. Kim, Matthew Fisher, Siddhartha Chaudhuri
Shape Unicode: A Unified Shape Representation. CVPR (2019)
Chenyang Zhu, Kai Xu, Siddhartha Chaudhuri, Renjiao Yi, Hao Zhang
SCORES: Shape Composition with Recursive Substructure Priors. CoRR (2018)
Shiv Shankar, Vihari Piratla, Soumen Chakrabarti, Siddhartha Chaudhuri, Preethi Jyothi, Sunita Sarawagi
Generalizing Across Domains via Cross-Gradient Training. ICLR (Poster) (2018)
Sanjeev Muralikrishnan, Vladimir G. Kim, Siddhartha Chaudhuri
Tags2Parts: Discovering Semantic Regions From Shape Tags. CVPR (2018)
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 (2018)
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 (2018)
Chenyang Zhu, Kai Xu, Siddhartha Chaudhuri, Renjiao Yi, Hao Zhang
SCORES: shape composition with recursive substructure priors. ACM Trans. Graph. 37 (6) (2018)
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)
Shiv Shankar, Vihari Piratla, Soumen Chakrabarti, Siddhartha Chaudhuri, Preethi Jyothi, Sunita Sarawagi
Generalizing Across Domains via Cross-Gradient Training. CoRR (2018)
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) (2018)
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) (2017)
Sanjeev Muralikrishnan, Vladimir G. Kim, Siddhartha Chaudhuri
Tags2Parts: Discovering Semantic Regions from Shape Tags. CoRR (2017)
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) (2017)
Jun Li, Kai Xu, Siddhartha Chaudhuri, Ersin Yumer, Hao Zhang, Leonidas J. Guibas
GRASS: Generative Recursive Autoencoders for Shape Structures. CoRR (2017)
Minhyuk Sung, Hao Su, Vladimir G. Kim, Siddhartha Chaudhuri, Leonidas J. Guibas
ComplementMe: Weakly-Supervised Component Suggestions for 3D Modeling. CoRR (2017)
Evangelos Kalogerakis, Melinos Averkiou, Subhransu Maji, Siddhartha Chaudhuri
3D Shape Segmentation with Projective Convolutional Networks. CVPR (2017)
Utkarsh Mall, G. Roshan Lal, Siddhartha Chaudhuri, Parag Chaudhuri
A Deep Recurrent Framework for Cleaning Motion Capture Data. CoRR (2017)
Haibin Huang, Evangelos Kalogerakis, Siddhartha Chaudhuri, Duygu Ceylan, Vladimir G. Kim, Ersin Yumer
Learning local shape descriptors with view-based convolutional networks. CoRR (2017)
Evangelos Kalogerakis, Melinos Averkiou, Subhransu Maji, Siddhartha Chaudhuri
3D Shape Segmentation with Projective Convolutional Networks. CoRR (2016)
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) (2016)
Mehmet Ersin Yümer, Siddhartha Chaudhuri, Jessica K. Hodgins, Levent Burak Kara
Semantic shape editing using deformation handles. ACM Trans. Graph. 34 (4) (2015)
Vladimir G. Kim, Siddhartha Chaudhuri, Leonidas J. Guibas, Thomas A. Funkhouser
Shape2Pose: human-centric shape analysis. ACM Trans. Graph. 33 (4) (2014)
Siddhartha Chaudhuri, Evangelos Kalogerakis, Stephen Giguere, Thomas A. Funkhouser
Attribit: content creation with semantic attributes. UIST (2013)
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) (2013)
Evangelos Kalogerakis, Siddhartha Chaudhuri, Daphne Koller, Vladlen Koltun
A probabilistic model for component-based shape synthesis. ACM Trans. Graph. 31 (4) (2012)
Siddhartha Chaudhuri, Evangelos Kalogerakis, Leonidas J. Guibas, Vladlen Koltun
Probabilistic reasoning for assembly-based 3D modeling. ACM Trans. Graph. 30 (4) (2011)
Siddhartha Chaudhuri, Vladlen Koltun
Data-driven suggestions for creativity support in 3D modeling. ACM Trans. Graph. 29 (6) (2010)
Siddhartha Chaudhuri, Vladlen Koltun
Smoothed analysis of probabilistic roadmaps. Comput. Geom. 42 (8) (2009)
Siddhartha Chaudhuri, Vladlen Koltun
Smoothed Analysis of Probabilistic Roadmaps. ANALCO (2007)
Siddhartha Chaudhuri, Ratan K. Ghosh, Sajal K. Das
Towards optimal sensor placement with hypercube cutting planes. WCNC (2005)
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)