Shubham Tulsiani


I am an Assistant Professor at Carnegie Mellon University in the Robotics Institute, where I am a part of the Computer Vision group. I am interested in building perception systems that can infer the spatial and physical structure of the world they observe. Please see these recent talks for an overview.


Prior to joining CMU, I was a Research Scientist at FAIR, Pittsburgh working with Abhinav Gupta. I previously graduated from UC, Berkeley where I was advised by Jitendra Malik, and also frequently collaborated with Alyosha Efros.


contact | google scholar | twitter


email: shubhtuls AT cmu.edu
Office: Smith Hall 230
  
My picture

Research Group


Our group is interested in inferring physically and spatially grounded representations from perceptual input, and leveraging these for advances in fundamental problems in computer vision and robot manipulation. We believe that to enable machines to understand the physical world, we should reduce the reliance on supervision by annotation, and instead develop learning mechanisms informed by the real, physical world we live in – by incorporating our knowledge about its structure and laws as a 'meta-supervisory' signal.

If you are interested in joining our group, please read this.

Dear Prospective Students,
Thanks for the interest in being a part of our group! Unfortunately, I am unable to reply to individual emails, but hope you find the following helpful:

I am a CMU student. How do I join your group?
Send me an email and/or drop by my office - I'd be happy to chat! If you are an undergraduate, also consider reaching out to the PhD students in our group if their projects align with your interests.

I want to join CMU. What graduate programs should I apply to?
PhD. Applicants: While I am primarily affiliated with RI, I can supervise students admitted in any SCS department (e.g. MLD, CSD) so apply to the department that best matches your interests and background. If you are interested in working with me, mention this in your application statement.
MS Applicants: RI offers MSR (research focused) and MSCV (industry focused) MS programs among others. Please apply to the program most aligned with your future goals.

Should I contact you before applying to CMU for admission?
Admissions across all PhD/MS programs are done by department-level committees and I am unable to help with individual applications. Please do feel free to reach out after you are admitted.

Are you accepting interns/visitors?
We do not have any short-term positions at this time.

PhD Students
Himangi Mittal
Homanga Bharadhwaj (co-advised with Abhinav Gupta)
Hanzhe Hu
Yehonathan Litman (with Fernando De la Torre)
Yufei (Judy) Ye (co-advised with Abhinav Gupta)

MS Students
Yanbo Xu (MSR)
Qitao Zhao (MSCV)

Undergraduate Students
Amy Lin
Lucas Wu

Alumni
PhD:
Jason Zhang (co-advised with Deva Ramanan), Sparse-view 3D in the Wild, 2024. Google

MSR:
Bharath Raj. PhD at Cornell
Zhizhuo (Z) Zhou. PhD at Stanford

MSCV: Poorvi Hebbar, Naveen Venkat, Mayank Agarwal,
Yen-Chi Cheng, Paritosh Mittal

Teaching


16-822: Geometry-based Methods in Vision. Fall 2023, 2022
16-825: Learning for 3D Vision. Spring 2024, 2023, 2022

Publications (all | selected)



2024

[New] Track2Act: Predicting Point Tracks from Internet Videos Enables Diverse Zero-shot Manipulation
Homanga Bharadhwaj, Roozbeh Mottaghi*, Abhinav Gupta*, Shubham Tulsiani*
ECCV, 2024
pdf &nbsp project page &nbsp bibtex &nbsp code


@inproceedings{bharadhwaj2024track2act,
  author    = {Homanga Bharadhwaj and Roozbeh Mottaghi and Abhinav Gupta and Shubham Tulsiani},
  title     = {Track2Act: Predicting Point Tracks from Internet Videos enables Diverse Zero-shot Robot Manipulation},
  booktitle={European Conference on Computer Vision (ECCV)},
  year      = {2024}
}

[New] UpFusion: Novel View Diffusion from Unposed Sparse View Observations
Bharath Raj Nagoor Kani, Hsin-Ying Lee, Sergey Tulyakov, Shubham Tulsiani
ECCV, 2024
pdf &nbsp project page &nbsp bibtex &nbsp code


@inproceedings{kani24upfusion,
  author    = {Nagoor Kani, Bharath Raj and Lee, Hsin-Ying and Tulyakov, Sergey and Tulsiani, Shubham},
  title     = {UpFusion: Novel View Diffusion from Unposed Sparse View Observations},
  booktitle={European Conference on Computer Vision (ECCV)},
  year      = {2024}
}

[New] G-HOP: Generative Hand-Object Prior for Interaction Reconstruction and Grasp Synthesis
Yufei Ye, Abhinav Gupta, Kris Kitani, Shubham Tulsiani
CVPR, 2024
pdf &nbsp project page &nbsp bibtex


@inproceedings{ye2024ghop,
    author = {Ye, Yufei and Gupta, Abhinav and Kitani, Kris and Tulsiani, Shubham}
    title = {G-HOP: Generative Hand-Object Prior for Interaction Reconstruction and Grasp Synthesis},
    booktitle={CVPR},
    year={2024}
}

[New] MVD-Fusion: Single-view 3D via Depth-consistent Multi-view Generation
Hanzhe Hu*, Zhizhuo Zhou*, Varun Jampani, Shubham Tulsiani
CVPR, 2024
pdf &nbsp project page &nbsp bibtex &nbsp code


@inproceedings{hu2024mvdfusion,
    title={MVD-Fusion: Single-view 3D via Depth-consistent Multi-view Generation}, 
    author={Hanzhe Hu and Zhizhuo Zhou and Varun Jampani and Shubham Tulsiani},
    booktitle={CVPR},
    year={2024}
}

[New] Cameras as Rays: Pose Estimation via Ray Diffusion
Jason Y. Zhang*, Amy Lin*, Moneish Kumar, Tzu-Hsuan Yang, Deva Ramanan, Shubham Tulsiani
ICLR, 2024
pdf &nbsp project page &nbsp bibtex &nbsp code


@InProceedings{zhang2024raydiffusion,
    title={Cameras as Rays: Pose Estimation via Ray Diffusion},
    author={Zhang, Jason Y and Lin, Amy and Kumar, Moneish and Yang, Tzu-Hsuan and Ramanan, Deva and Tulsiani, Shubham},
    booktitle={International Conference on Learning Representations (ICLR)},
    year={2024}
}

Towards Generalizable Zero-Shot Manipulation via Translating Human Interaction Plans
Homanga Bharadhwaj, Abhinav Gupta*, Vikash Kumar*, Shubham Tulsiani*
ICRA, 2024 (Finalist for Best Paper Award in Robot Manipulation)
pdf &nbsp project page &nbsp bibtex


@article{bharadhwaj2023towards,
  title={Towards Generalizable Zero-Shot Manipulation via Translating Human Interaction Plans},
  author={Bharadhwaj, Homanga and Gupta, Abhinav and Kumar, Vikash and Tulsiani, Shubham},
  journal={arXiv preprint arXiv:2312.00775},
  year={2023}
}

RoboAgent: Towards Sample Efficient Robot Manipulation with Semantic Augmentations and Action Chunking
Homanga Bharadhwaj*, Jay Vakil*, Mohit Sharma*, Abhinav Gupta, Shubham Tulsiani, Vikash Kumar
ICRA, 2024
pdf &nbsp project page &nbsp bibtex &nbsp data


@article{bharadhwaj2023roboagent,
  title={Roboagent: Generalization and efficiency in robot manipulation via semantic augmentations and action chunking},
  author={Bharadhwaj, Homanga and Vakil, Jay and Sharma, Mohit and Gupta, Abhinav and Tulsiani, Shubham and Kumar, Vikash},
  journal={arXiv preprint arXiv:2309.01918},
  year={2023}
}

RelPose++: Recovering 6D Poses from Sparse-view Observations
Amy Lin*, Jason Y. Zhang*, Deva Ramanan, Shubham Tulsiani
3DV, 2024
pdf &nbsp project page &nbsp bibtex &nbsp code


@inproceedings{lin2024relposepp,
    title={RelPose++: Recovering 6D Poses from Sparse-view Observations},
    author={Lin, Amy and Zhang, Jason Y and Ramanan, Deva and Tulsiani, Shubham},
    booktitle={3DV},
    year={2024}
}

2023

Diffusion-Guided Reconstruction of Everyday Hand-Object Interaction Clips
Yufei Ye, Poorvi Hebbar, Abhinav Gupta, Shubham Tulsiani
ICCV, 2023
pdf &nbsp project page &nbsp bibtex &nbsp code


@inproceedings{ye2023vhoi,
        author = {Ye, Yufei and Hebbar, Poorvi and Gupta, Abhinav and Tulsiani, Shubham}
        title = {Diffusion-Guided Reconstruction of Everyday Hand-Object Interaction Clips},
        booktitle = {ICCV},
        year = {2023}
}

Manipulate by Seeing: Creating Manipulation Controllers from Pre-Trained Representations
Jianren Wang*, Sudeep Dasari*, Mohan Kumar Srirama, Shubham Tulsiani, Abhinav Gupta
ICCV, 2023
pdf &nbsp project page &nbsp bibtex &nbsp code


@article{wang2023manipulate,
  title={Manipulate by Seeing: Creating Manipulation Controllers from Pre-Trained Representations},
  author={Wang, Jianren and Dasari, Sudeep and Srirama, Mohan Kumar and Tulsiani, Shubham and Gupta, Abhinav},
  booktitle={International Conference on Computer Vision (ICCV)},
  year={2023}
}

Mesh2Tex: Generating Mesh Textures from Image Queries
Alexey Bokhovkin, Shubham Tulsiani, Angela Dai
ICCV, 2023
pdf &nbsp project page &nbsp bibtex


@inproceedings{ye2023vhoi,
        title     = {Mesh2Tex: Generating Mesh Textures from Image Queries},
        author    = {Bokhovkin, Alexey and Tulsiani, Shubham and Dai, Angela},
        booktitle = {ICCV},
        year = {2023}
}

Visual Affordance Prediction for Guiding Robot Exploration
Homanga Bharadhwaj, Abhinav Gupta, Shubham Tulsiani
ICRA, 2023
pdf &nbsp project page &nbsp bibtex &nbsp code


@article{BharadhwajVisual,	
  Author = {Homanga Bharadhwaj and Abhinav Gupta and Shubham Tulsiani},	
  Journal={IEEE International Conference on Robotics and Automation (ICRA)},	
  Year = {2023},	
  Title = {Visual Affordance Prediction for Guiding Robot Exploration}	
}

Analogy-Forming Transformers for Few-Shot 3D Parsing
Nikolaos Gkanatsios*, Mayank Singh*, Zhaoyuan Fang, Shubham Tulsiani, Katerina Fragkiadaki
ICLR, 2023
pdf &nbsp project page &nbsp bibtex &nbsp code


@article{gkanatsios2023analogical,
  author    = {Gkanatsios, Nikolaos and Singh, Mayank and Fang, Zhaoyuan and Tulsiani, Shubham and Fragkiadaki, Katerina},
  title     = {Analogy-Forming Transformers for Few-Shot 3D Parsing},
  journal   = {ICLR},
  year      = {2023},
}

SparseFusion: Distilling View-conditioned Diffusion for 3D Reconstruction
Zhizhuo Zhou, Shubham Tulsiani
CVPR, 2023
pdf &nbsp project page &nbsp bibtex &nbsp code


@inproceedings{zhou2023sparsefusion,
  title={SparseFusion: Distilling View-conditioned Diffusion for 3D Reconstruction}, 
  author={Zhizhuo Zhou and Shubham Tulsiani},
  booktitle={CVPR},
  year={2023}
}

Affordance Diffusion: Synthesizing Hand-Object Interactions
Yufei Ye, Xueting Li, Abhinav Gupta, Shalini De Mello, Stan Birchfield, Jiaming Song, Shubham Tulsiani, Sifei Liu
CVPR, 2023
pdf &nbsp project page &nbsp bibtex


@inproceedings{ye2023affordance,
  title={Affordance Diffusion: Synthesizing Hand-Object Interactions}, 
  author={Yufei Ye and Xueting Li and Abhinav Gupta  and Shalini De Mello  and Stan Birchfield, Jiaming Song and Shubham Tulsiani and Sifei Liu},
  booktitle={CVPR},
  year={2023}
}

2022

Monocular Dynamic View Synthesis: A Reality Check
Hang Gao, Ruilong Li, Shubham Tulsiani, Bryan Russell, Angjoo Kanazawa
NeurIPS, 2022
pdf &nbsp project page &nbsp bibtex &nbsp code


@inproceedings{gao2022dynamic,
    title={Monocular Dynamic View Synthesis: A Reality Check},
    author={Gao, Hang and 
            Li, Ruilong and 
            Tulsiani, Shubham and 
            Russell, Bryan and 
            Kanazawa, Angjoo},
    booktitle={NeurIPS},
    year={2022},
}

RelPose: Predicting Probabilistic Relative Rotation for Single Objects in the Wild
Jason Y. Zhang, Deva Ramanan, Shubham Tulsiani
ECCV, 2022
pdf &nbsp project page &nbsp bibtex &nbsp code


@InProceedings{zhang2022relpose,
    title = {{RelPose}: Predicting Probabilistic Relative Rotation for Single Objects in the Wild},
    author = {Zhang, Jason Y. and Ramanan, Deva and Tulsiani, Shubham},
    booktitle = {European Conference on Computer Vision},
    year = {2022}
}

Pre-train, Self-train, Distill: A simple recipe for Supersizing 3D Reconstruction
Kalyan Vasudev Alwala, Abhinav Gupta, Shubham Tulsiani
CVPR, 2022
pdf &nbsp project page &nbsp bibtex &nbsp code


@inProceedings{vasudev2022ss3d,
  title={Pre-train, Self-train, Distill: A simple recipe for Supersizing 3D Reconstruction},
  author={Alwala, Kalyan Vasudev and Gupta, Abhinav and Tulsiani, Shubham},
  year={2022},
  booktitle={Computer Vision and Pattern Recognition (CVPR)}
}

What's in your hands? 3D Reconstruction of Generic Objects in Hands
Yufei Ye, Abhinav Gupta, Shubham Tulsiani
CVPR, 2022
pdf &nbsp project page &nbsp bibtex &nbsp code


@inProceedings{ye2022ihoi,
  title={What's in your hands? 3D Reconstruction of Generic Objects in Hands},
  author={Ye, Yufei and  Gupta, Abhinav and Tulsiani, Shubham},
  year={2022},
  booktitle={Computer Vision and Pattern Recognition (CVPR)}
}

AutoSDF: Shape Priors for 3D Completion, Reconstruction and Generation
Paritosh Mittal*, Yen-Chi Cheng*, Maneesh Singh, Shubham Tulsiani
CVPR, 2022
pdf &nbsp project page &nbsp bibtex &nbsp code


@inproceedings{autosdf2022,
  title={{AutoSDF}: Shape Priors for 3D Completion, Reconstruction and Generation},
  author={Mittal, Paritosh and Cheng, Yen-Chi and Singh, Maneesh and Tulsiani, Shubham},
  booktitle={CVPR},
  year={2022}
}

2021

NeRS: Neural Reflectance Surfaces for Sparse-view 3D Reconstruction in the Wild
Jason Y. Zhang, Gengshan Yang, Shubham Tulsiani*, and Deva Ramanan*
NeurIPS, 2021
pdf &nbsp project page &nbsp bibtex &nbsp video &nbsp code


@inproceedings{zhang2021ners,
  title={{NeRS}: Neural Reflectance Surfaces for Sparse-view 3D Reconstruction in the Wild},
  author={Zhang, Jason Y. and Yang, Gengshan and Tulsiani, Shubham and Ramanan, Deva},
  booktitle={Conference on Neural Information Processing Systems},
  year={2021}
}

No RL, No Simulation: Learning to Navigate without Navigating
Meera Hahn, Devendra Chaplot, Shubham Tulsiani, Mustafa Mukadam, James M. Rehg, Abhinav Gupta
NeurIPS, 2021
pdf &nbsp project page &nbsp bibtex &nbsp code


@article{hahn2021nrns,
    title={No RL, No Simulation: Learning to Navigate without Navigating},
    author={Meera Hahn and Devendra Chaplot and Shubham Tulsiani and Mustafa Mukadam and James Rehg and Abhinav Gupta},
    booktitle={Neural Information Processing Systems},
    year={2021},
}

A Differentiable Recipe for Learning Visual Non-Prehensile Planar Manipulation
Bernardo Aceituno, Alberto Rodriguez, Shubham Tulsiani, Abhinav Gupta, Mustafa Mukadam
CoRL, 2021
pdf &nbsp bibtex


@inProceedings{aceituno21planar,
  title={A Differentiable Recipe for Learning Visual Non-Prehensile Planar Manipulation},
  author={Aceituno, Bernardo and Rodriguez, Alberto and Tulsiani, Shubham and Gupta, Abhinav and Mukadam, Mustafa},
  year={2021},
  booktitle={Conference on Robot Learning (CoRL)}
}

Where2Act: From Pixels to Actions for Articulated 3D Objects
Kaichun Mo, Leonidas J. Guibas, Mustafa Mukadam, Abhinav Gupta, Shubham Tulsiani
ICCV, 2021
pdf &nbsp project page &nbsp bibtex &nbsp code


@inProceedings{mo2021where2act,
  title={Where2Act: From Pixels to Actions for Articulated 3D Objects},
  author={Mo, Kaichun and Guibas, Leonidas and Mukadam, Mustafa and Gupta, Abhinav and Tulsiani, Shubham},
  year={2021},
  booktitle={International Conference on Computer Vision (ICCV)}
}

PixelTransformer: Sample Conditioned Signal Generation
Shubham Tulsiani, Abhinav Gupta
ICML, 2021
pdf &nbsp project page &nbsp bibtex &nbsp code


@inProceedings{tulsiani2021pixel,
  title={PixelTransformer: Sample Conditioned Signal Generation},
  author={Tulsiani, Shubham and  Gupta, Abhinav},
  year={2021},
  booktitle={International Conference on Machine Learning (ICML)}
}

Shelf-Supervised Mesh Prediction in the Wild
Yufei Ye, Shubham Tulsiani, Abhinav Gupta
CVPR, 2021
pdf &nbsp project page &nbsp bibtex &nbsp code


@inProceedings{ye2021shelf,
  title={Shelf-Supervised Mesh Prediction in the Wild},
  author={Ye, Yufei and Tulsiani, Shubham and  Gupta, Abhinav},
  year={2021},
  booktitle={Computer Vision and Pattern Recognition (CVPR)}
}

2020

See, Hear, Explore: Curiosity via Audio-Visual Association
Victoria Dean, Shubham Tulsiani, Abhinav Gupta
NeurIPS, 2020
pdf &nbsp project page &nbsp bibtex &nbsp video &nbsp code


@article{dean2020see,
  title={See, hear, explore: Curiosity via audio-visual association},
  author={Dean, Victoria and Tulsiani, Shubham and Gupta, Abhinav},
  journal={Advances in Neural Information Processing Systems},
  volume={33},
  year={2020}
}

Visual Imitation Made Easy
Sarah Young, Dhiraj Gandhi, Shubham Tulsiani, Abhinav Gupta, Pieter Abbeel, Lerrel Pinto
CORL, 2020
pdf &nbsp project page &nbsp bibtex &nbsp video &nbsp code


@inProceedings{young2020vime,
  title={Visual Imitation Made Easy},
  author={Young, Sarah and Gandhi, Dhiraj and Tulsiani, Shubham and Gupta, Abhinav and Abbeel, Pieter and Pinto, Lerrel},
  year={2020},
  booktitle={Conference on Robot Learning (CORL)}
}

Articulation-aware Canonical Surface Mapping
Nilesh Kulkarni, Abhinav Gupta, David Fouhey, Shubham Tulsiani
CVPR, 2020
pdf &nbsp project page &nbsp bibtex &nbsp video &nbsp code


@inProceedings{kulkarni2020acsm,
  title={Articulation-aware Canonical Surface Mapping},
  author={Kulkarni, Nilesh and Gupta, Abhinav and Fouhey, David and Tulsiani, Shubham},
  year={2020},
  booktitle={Computer Vision and Pattern Recognition (CVPR)}
}

Use the Force, Luke! Learning to Predict Physical Forces by Simulating Effects
Kiana Ehsani, Shubham Tulsiani, Saurabh Gupta, Ali Farhadi, Abhinav Gupta
CVPR, 2020
pdf &nbsp project page &nbsp bibtex &nbsp code


@inProceedings{ehsani2020force,
  title={Use the Force, Luke! Learning to Predict Physical Forces by Simulating Effects},
  author={Ehsani, Kiana and  Tulsiani, Shubham and Gupta, Saurabh and Farhadi, Ali and Gupta, Abhinav},
  year={2020},
  booktitle={Computer Vision and Pattern Recognition (CVPR)}
}

Intrinsic Motivation for Encouraging Synergistic Behavior
Rohan Chitnis, Shubham Tulsiani, Saurabh Gupta, Abhinav Gupta
ICLR, 2020
pdf &nbsp project page &nbsp bibtex


@inproceedings{chitnis20synergy,
  title={Intrinsic Motivation for Encouraging Synergistic Behavior},
  author={Chitnis, Rohan and Tulsiani, Shubham and Gupta, Saurabh and Gupta, Abhinav},
  booktitle={ICLR},
  year={2020}
}

Discovering Motor Programs by Recomposing Demonstrations
Tanmay Shankar, Shubham Tulsiani, Lerrel Pinto, Abhinav Gupta
ICLR, 2020
pdf &nbsp bibtex


@inproceedings{shankar20motor,
  title={Discovering Motor Programs by Recomposing Demonstrations},
  author={Shankar, Tanmay and Tulsiani, Shubham and Pinto, Lerrel and Gupta, Abhinav},
  booktitle={ICLR},
  year={2020}
}

Efficient Bimanual Manipulation using Learned Task Schemas
Rohan Chitnis, Shubham Tulsiani, Saurabh Gupta, Abhinav Gupta
ICRA, 2020
preprint &nbsp bibtex &nbsp video


@inproceedings{chitnis20schema,
  title={Efficient Bimanual Manipulation Using Learned Task Schemas},
  author={Chitnis, Rohan and Tulsiani, Shubham and Gupta, Saurabh and Gupta, Abhinav},
  booktitle={ICRA},
  year={2020}
}

2019

Object-centric Forward Modeling for Model Predictive Control
Yufei Ye, Dhiraj Gandhi, Abhinav Gupta, Shubham Tulsiani
CORL, 2019
pdf &nbsp project page &nbsp bibtex


@inProceedings{ye2019ocm,
  title={Object-centric Forward Modeling for Model Predictive Control},
  author={Ye, Yufei and Gandhi, Dhiraj and Gupta, Abhinav and Tulsiani, Shubham},
  year={2019},
  booktitle={Conference on Robot Learning (CORL)}
}

Canonical Surface Mapping via Geometric Cycle Consistency
Nilesh Kulkarni, Abhinav Gupta*, Shubham Tulsiani*
ICCV, 2019
pdf &nbsp project page &nbsp bibtex &nbsp video &nbsp code


@inProceedings{kulkarni2019csm,
  title={Canonical Surface Mapping via Geometric Cycle Consistency},
  author={Kulkarni, Nilesh and Gupta, Abhinav and Tulsiani, Shubham},
  year={2019},
  booktitle={International Conference on Computer Vision (ICCV)}
}

Compositional Video Prediction
Yufei Ye, Maneesh Singh, Abhinav Gupta*, Shubham Tulsiani*
ICCV, 2019
pdf &nbsp project page &nbsp bibtex &nbsp code


@inProceedings{ye2019cvp,
  title={Compositional Video Prediction},
  author={Ye, Yufei and Singh, Maneesh and Gupta, Abhinav and Tulsiani, Shubham},
  year={2019},
  booktitle={International Conference on Computer Vision (ICCV)}
}

3D-RelNet: Joint Object and Relational Network for 3D Prediction
Nilesh Kulkarni, Ishan Misra, Shubham Tulsiani, Abhinav Gupta
ICCV, 2019
pdf &nbsp project page &nbsp bibtex &nbsp code


@inProceedings{kulkarni2019relnet,
  title={3D-RelNet: Joint Object and Relational Network for 3D Prediction},
  author={Nilesh Kulkarni, Ishan Misra, Shubham Tulsiani, Abhinav Gupta},
  booktitle={ICCV},
  year={2019}
}

Order-Aware Generative Modeling Using the 3D-Craft Dataset
Zhuoyuan Chen*, Demi Guo*, Tong Xiao*, et. al.
ICCV, 2019
pdf &nbsp bibtex


@inProceedings{chen2019craft,
  title={Order-Aware Generative Modeling Using the 3D-Craft Dataset},
  author={Zhuoyuan Chen, Demi Guo, Tong Xiao, Saining Xie, Xinlei Chen, Haonan Yu, Jonathan Gray, Kavya Srinet, Haoqi Fan, Jerry Ma, Charles R. Qi, Shubham Tulsiani, Arthur Szlam, and C. Lawrence Zitnick},
  booktitle={ICCV},
  year={2019}
}

Learning Unsupervised Multi-View Stereopsis via Robust Photometric Consistency
Tejas Khot*, Shubham Agrawal*, Shubham Tulsiani, Christoph Mertz, Simon Lucey, Martial Hebert
arXiv preprint, 2019
pdf &nbsp project page &nbsp bibtex &nbsp code


@article{khot2019learning,
  title={Learning Unsupervised Multi-View Stereopsis via Robust Photometric Consistency},
  author={Khot, Tejas and Agrawal, Shubham and Tulsiani, Shubham and Mertz, Christoph and Lucey, Simon and Hebert, Martial},
  journal={arXiv preprint arXiv:1905.02706},
  year={2019}
}

2018

Layer-structured 3D Scene Inference via View Synthesis
Shubham Tulsiani, Richard Tucker, Noah Snavely
ECCV, 2018
pdf &nbsp project page &nbsp bibtex &nbsp code


@inProceedings{lsiTulsiani18,
  title={Layer-structured 3D Scene Inference via View Synthesis},
  author = {Shubham Tulsiani
  and Richard Tucker
  and Noah Snavely},
  booktitle={ECCV},
  year={2018}
}

Learning Category-Specific Mesh Reconstruction from Image Collections
Angjoo Kanazawa*, Shubham Tulsiani*, Alexei A. Efros, Jitendra Malik
ECCV, 2018
pdf &nbsp project page &nbsp bibtex &nbsp video &nbsp code


@inProceedings{cmrKanazawa18,
  title={Learning Category-Specific Mesh Reconstruction
  from Image Collections},
  author = {Angjoo Kanazawa and
  Shubham Tulsiani
  and Alexei A. Efros
  and Jitendra Malik},
  booktitle={ECCV},
  year={2018}
}

Multi-view Consistency as Supervisory Signal for Learning Shape and Pose Prediction
Shubham Tulsiani, Alexei A. Efros, Jitendra Malik
CVPR, 2018
pdf &nbsp project page &nbsp bibtex &nbsp code


@inProceedings{mvcTulsiani18,
  title={Multi-view Consistency as Supervisory Signal
  for Learning Shape and Pose Prediction},
  author = {Shubham Tulsiani
  and Alexei A. Efros
  and Jitendra Malik},
  booktitle={Computer Vision and Pattern Recognition (CVPR)},
  year={2018}
}

Factoring Shape, Pose, and Layout from the 2D Image of a 3D Scene
Shubham Tulsiani, Saurabh Gupta, David Fouhey, Alexei A. Efros, Jitendra Malik
CVPR, 2018
pdf &nbsp project page &nbsp bibtex &nbsp code


@inProceedings{factored3dTulsiani17,
  title={Factoring Shape, Pose, and Layout from the 2D Image of a 3D Scene},
  author = {Shubham Tulsiani
  and Saurabh Gupta
  and David Fouhey
  and Alexei A. Efros
  and Jitendra Malik},
  booktitle={Computer Vision and Pattern Recognition (CVPR)},
  year={2018}
}

2017

Multi-view Supervision for Single-view Reconstruction via Differentiable Ray Consistency
Shubham Tulsiani, Tinghui Zhou, Alexei A. Efros, Jitendra Malik
CVPR, 2017
pdf &nbsp project page &nbsp bibtex &nbsp slides &nbsp talk &nbsp code &nbsp blog post


@inProceedings{drcTulsiani17,
  title={Multi-view Supervision for Single-view Reconstruction
  via Differentiable Ray Consistency},
  author = {Shubham Tulsiani
  and Tinghui Zhou
  and Alexei A. Efros
  and Jitendra Malik},
  booktitle={Computer Vision and Pattern Recognition (CVPR)},
  year={2017}
}

Learning Shape Abstractions by Assembling Volumetric Primitives
Shubham Tulsiani, Hao Su, Leonidas J. Guibas, Alexei A. Efros, Jitendra Malik
CVPR, 2017
pdf &nbsp project page &nbsp bibtex &nbsp code (torch) &nbsp code (pytorch - unofficial)


@inProceedings{abstractionTulsiani17,
  title={Learning Shape Abstractions by Assembling Volumetric Primitives},
  author = {Shubham Tulsiani
  and Hao Su
  and Leonidas J. Guibas
  and Alexei A. Efros
  and Jitendra Malik},
  booktitle={Computer Vision and Pattern Recognition (CVPR)},
  year={2017}
}

Hierarchical Surface Prediction for 3D Object Reconstruction
Christian Häne, Shubham Tulsiani, Jitendra Malik
3DV, 2017
pdf &nbsp bibtex &nbsp slides &nbsp code


@incollection{hspHane17,
  author = {Christian H{\"a}ne and
  Shubham Tulsiani and
  Jitendra Malik},
  title = {Hierarchical Surface Prediction for 3D Object Reconstruction},
  booktitle = {arXiv preprint arXiv:1704.00710},
  year = {2017}
}

2016

Learning Category-Specific Deformable 3D Models for Object Reconstruction
Shubham Tulsiani*, Abhishek Kar*, João Carreira, Jitendra Malik
TPAMI, 2016
pdf &nbsp bibtex &nbsp code


@article{pamishapeTulsianiKCM15,
  author = {Shubham Tulsiani and
  Abhishek Kar and
  Jo{\~{a}}o Carreira and
  Jitendra Malik},
  title = {Learning Category-Specific Deformable 3D
  Models for Object Reconstruction},
  journal = {TPAMI},
  year = {2016},
}

View Synthesis by Appearance Flow
Tinghui Zhou, Shubham Tulsiani, Weilun Sun, Jitendra Malik, Alexei A. Efros
ECCV, 2016
pdf &nbsp bibtex &nbsp code


@incollection{appFlowZhou16,
author = {Tinghui Zhou and
Shubham Tulsiani and
Weilun Sun and
Jitendra Malik and
Alexei A. Efros},
title = {View Synthesis by Appearance Flow},
booktitle = {ECCV},
year = {2016}
}

2015

Pose Induction for Novel Object Categories
Shubham Tulsiani, João Carreira, Jitendra Malik
ICCV, 2015
pdf &nbsp bibtex &nbsp code


@inProceedings{poseInductionTCM15,
  author    = {Shubham Tulsiani and
               Jo{\~{a}}o Carreira and
               Jitendra Malik},
  title     = {Pose Induction for Novel Object Categories},
  year={2015},
  booktitle={International Conference on Computer Vision (ICCV)}
}

Amodal Completion and Size Constancy in Natural Scenes
Abhishek Kar, Shubham Tulsiani, João Carreira, Jitendra Malik
ICCV, 2015
pdf &nbsp bibtex


@inProceedings{amodalKTCM15,
  author    = {Abhishek Kar and
               Shubham Tulsiani and
               Jo{\~{a}}o Carreira and
               Jitendra Malik},
  title     = {Amodal Completion and Size Constancy in Natural Scenes},
  year={2015},
  booktitle={International Conference on Computer Vision (ICCV)}
 }

Viewpoints and Keypoints
Shubham Tulsiani, Jitendra Malik
CVPR, 2015
pdf &nbsp bibtex &nbsp code


@inProceedings{vpsKpsTulsianiM15,
  author    = {Shubham Tulsiani and Jitendra Malik},
  title     = {Viewpoints and Keypoints},
  year={2015},
  booktitle={Computer Vision and Pattern Recognition (CVPR)}
}

Category-Specific Object Reconstruction from a Single Image
Abhishek Kar*, Shubham Tulsiani*, João Carreira, Jitendra Malik
CVPR, 2015 (Best Student Paper Award)
pdf &nbsp project page &nbsp bibtex &nbsp code


@inProceedings{shapesKarTCM15,
  author    = {Abhishek Kar and
               Shubham Tulsiani and
               Jo{\~{a}}o Carreira and
               Jitendra Malik},
  title     = {Category-Specific Object Reconstruction from a Single Image},
  year={2015},
  booktitle={Computer Vision and Pattern Recognition (CVPR)}
}

Virtual View Networks for Object Reconstruction
João Carreira, Abhishek Kar, Shubham Tulsiani, Jitendra Malik
CVPR, 2015
pdf &nbsp bibtex &nbsp video &nbsp code


@inProceedings{vvnCarreiraKTM15,
  author    = {Jo{\~{a}}o Carreira and
               Abhishek Kar and
               Shubham Tulsiani and
               Jitendra Malik},
  title     = {Virtual View Networks for Object Reconstruction},
  year={2015},
  booktitle={Computer Vision and Pattern Recognition (CVPR)}
}

2013

A colorful approach to text processing by example
Kuat Yessenov, Shubham Tulsiani, Aditya Menon, Robert C Miller, Sumit Gulwani, Butler Lampson, Adam Kalai
UIST, 2013
pdf &nbsp bibtex


@inproceedings{yessenov2013colorful,
  title={A colorful approach to text processing by example},
  author={Yessenov, Kuat and
  Tulsiani, Shubham and
  Menon, Aditya and
  Miller, Robert C and
  Gulwani,Sumit and
  Lampson, Butler and
  Kalai, Adam},
  booktitle={UIST},
  pages={495--504},
  year={2013},
  organization={ACM}
}