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2025

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Computer Science

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Citations
5151
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  • 2025 - Research.com Rising Stars Award

Overview

Shubham Tulsiani is affiliated with Carnegie Mellon University in the United States. Their research primarily spans fields including Computer Science and Engineering, with a total of 95 and 39 publications respectively. Within these domains, Tulsiani has contributed extensively to subfields such as Computer Vision and Pattern Recognition, Control and Systems Engineering, Artificial Intelligence, Computational Mechanics, and Computer Graphics and Computer-Aided Design.

The main topics covered in Tulsiani's research include Advanced Vision and Imaging, Human Pose and Action Recognition, Robot Manipulation and Learning, 3D Shape Modeling and Analysis, Computer Graphics and Visualization Techniques, Multimodal Machine Learning Applications, and Hand Gesture Recognition Systems.

Tulsiani's recent papers reflect a focus on 3D object understanding, dynamic view synthesis, and visual imitation. Selected publications are:

  • "Where2Act: From Pixels to Actions for Articulated 3D Objects" (2021), 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • "What's in your hands? 3D Reconstruction of Generic Objects in Hands" (2022), 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • "NeRS: Neural Reflectance Surfaces for Sparse-view 3D Reconstruction in the Wild" (2021), arXiv (Cornell University)
  • "Monocular Dynamic View Synthesis: A Reality Check" (2022), arXiv (Cornell University)
  • "Visual Imitation Made Easy" (2020), arXiv (Cornell University)

Tulsiani frequently publishes in venues such as arXiv (Cornell University), the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), and the IEEE/CVF International Conference on Computer Vision (ICCV). Their contributions to arXiv total 46 publications, while three are from CVPR and one from ICCV.

Their scientific collaborations include frequent co-authorship with researchers such as Abhinav Gupta, Homanga Bharadhwaj, and Yufei Ye.

Best Publications

  • View Synthesis by Appearance Flow

    Tinghui Zhou;Shubham Tulsiani;Weilun Sun;Jitendra Malik

  • Learning Category-Specific Mesh Reconstruction from Image Collections

    Angjoo Kanazawa;Shubham Tulsiani;Alexei A. Efros;Jitendra Malik

  • Multi-view Supervision for Single-View Reconstruction via Differentiable Ray Consistency

    Shubham Tulsiani;Tinghui Zhou;Alexei A. Efros;Jitendra Malik

  • Viewpoints and keypoints

    Shubham Tulsiani;Jitendra Malik

  • Category-specific object reconstruction from a single image

    Abhishek Kar;Shubham Tulsiani;Joao Carreira;Jitendra Malik

  • Learning Shape Abstractions by Assembling Volumetric Primitives

    Shubham Tulsiani;Hao Su;Leonidas J. Guibas;Alexei A. Efros

  • Hierarchical Surface Prediction for 3D Object Reconstruction

    Christian Hane;Shubham Tulsiani;Jitendra Malik

  • Multi-view Consistency as Supervisory Signal for Learning Shape and Pose Prediction

    Shubham Tulsiani;Alexei A. Efros;Jitendra Malik

  • Layer-structured 3D Scene Inference via View Synthesis

    Shubham Tulsiani;Richard Tucker;Noah Snavely

  • SparseFusion: Distilling View-Conditioned Diffusion for 3D Reconstruction

    Unknown

  • Factoring Shape, Pose, and Layout from the 2D Image of a 3D Scene

    Shubham Tulsiani;Saurabh Gupta;David Fouhey;Alexei A. Efrosefros

  • Where2Act: From Pixels to Actions for Articulated 3D Objects

    Kaichun Mo;Leonidas J. Guibas;Mustafa Mukadam;Abhinav Gupta

  • Where2Act: From Pixels to Actions for Articulated 3D Objects

    Kaichun Mo;Leonidas Guibas;Mustafa Mukadam;Abhinav Gupta

  • What's in your hands? 3D Reconstruction of Generic Objects in Hands

    Unknown

  • Canonical Surface Mapping via Geometric Cycle Consistency

    Nilesh Kulkarni;Shubham Tulsiani;Abhinav Gupta

  • Learning Category-Specific Deformable 3D Models for Object Reconstruction

    Shubham Tulsiani;Abhishek Kar;Joao Carreira;Jitendra Malik

  • Compositional Video Prediction

    Yufei Ye;Maneesh Singh;Abhinav Gupta;Shubham Tulsiani

  • Large-Scale 3D Shape Reconstruction and Segmentation from ShapeNet Core55.

    Li Yi;Lin Shao;Manolis Savva;Haibin Huang

  • A colorful approach to text processing by example

    Kuat Yessenov;Shubham Tulsiani;Aditya Menon;Robert C. Miller

  • Monocular Dynamic View Synthesis: A Reality Check

    Unknown

  • Articulation-Aware Canonical Surface Mapping

    Nilesh Kulkarni;Abhinav Gupta;David F. Fouhey;Shubham Tulsiani

  • Factoring Shape, Pose, and Layout from the 2D Image of a 3D Scene

    Shubham Tulsiani;Saurabh Gupta;David Fouhey;Alexei A. Efros

  • Affordance Diffusion: Synthesizing Hand-Object Interactions

    Unknown

  • Learning Unsupervised Multi-View Stereopsis via Robust Photometric Consistency

    Tejas Khot;Shubham Agrawal;Shubham Tulsiani;Christoph Mertz

  • RoboAgent: Generalization and Efficiency in Robot Manipulation via Semantic Augmentations and Action Chunking

    Unknown

  • Shelf-Supervised Mesh Prediction in the Wild

    Yufei Ye;Shubham Tulsiani;Abhinav Gupta

  • Implicit Mesh Reconstruction from Unannotated Image Collections

    Shubham Tulsiani;Nilesh Kulkarni;Abhinav Gupta

Frequent Co-Authors

Jitendra Malik
Jitendra Malik University of California, Berkeley
Abhinav Gupta
Abhinav Gupta Carnegie Mellon University
Alexei A. Efros
Alexei A. Efros University of California, Berkeley
Joao Carreira
Joao Carreira Google (United States)
Saurabh Gupta
Saurabh Gupta University of Illinois at Urbana-Champaign
Leonidas J. Guibas
Leonidas J. Guibas Stanford University
Ali Farhadi
Ali Farhadi University of Washington
Hao Su
Hao Su University of California, San Diego
Deva Ramanan
Deva Ramanan Carnegie Mellon University
Pieter Abbeel
Pieter Abbeel University of California, Berkeley

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