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2025

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Rising Stars

D-Index
38
Citations
6339
World Ranking
721
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114

Computer Science

D-Index
34
Citations
5151
World Ranking
12144
National Ranking
4939

Shubham Tulsiani publication distribution in Computer Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Shubham Tulsiani sits on this spectrum.

32–41 publications: 7 scientists 42–51 publications: 22 scientists 52–61 publications: 82 scientists 62–71 publications: 134 scientists 72–81 publications: 249 scientists 82–91 publications: 324 scientists 92–101 publications: 421 scientists 102–111 publications: 420 scientists 112–121 publications: 497 scientists 122–131 publications: 544 scientists 132–141 publications: 555 scientists 142–151 publications: 609 scientists 152–161 publications: 559 scientists 162–171 publications: 534 scientists 172–181 publications: 556 scientists 182–191 publications: 583 scientists 192–201 publications: 519 scientists 202–211 publications: 508 scientists 212–221 publications: 490 scientists 222–231 publications: 437 scientists 232–241 publications: 423 scientists 242–251 publications: 408 scientists 252–261 publications: 377 scientists 262–271 publications: 301 scientists 272–281 publications: 335 scientists 282–291 publications: 320 scientists 292–301 publications: 293 scientists 302–311 publications: 250 scientists 312–321 publications: 238 scientists 322–331 publications: 206 scientists 332–341 publications: 209 scientists 342–351 publications: 208 scientists 352–361 publications: 162 scientists 362–371 publications: 176 scientists 372–381 publications: 127 scientists 382–391 publications: 158 scientists 392–401 publications: 128 scientists 402–411 publications: 104 scientists 412–421 publications: 94 scientists 422–431 publications: 99 scientists 432–441 publications: 83 scientists 442–451 publications: 108 scientists 452–461 publications: 73 scientists 462–471 publications: 77 scientists 472–481 publications: 69 scientists 482–491 publications: 84 scientists 492–501 publications: 62 scientists 502–511 publications: 54 scientists 512–521 publications: 57 scientists 522–531 publications: 51 scientists 532–541 publications: 51 scientists 542–551 publications: 32 scientists 552–561 publications: 38 scientists 562–571 publications: 28 scientists 572–581 publications: 43 scientists 582–591 publications: 33 scientists 592–601 publications: 41 scientists 602–611 publications: 32 scientists 612–621 publications: 28 scientists 622–631 publications: 25 scientists 632–641 publications: 27 scientists 642–651 publications: 17 scientists 652–661 publications: 20 scientists 662–671 publications: 17 scientists 672–681 publications: 15 scientists 682–691 publications: 14 scientists 692–701 publications: 21 scientists 702–711 publications: 13 scientists 712–721 publications: 12 scientists 722–731 publications: 19 scientists 732–741 publications: 14 scientists 742–751 publications: 12 scientists 752–761 publications: 10 scientists 762–771 publications: 10 scientists 772–781 publications: 11 scientists 782–791 publications: 10 scientists 792–801 publications: 11 scientists 802–811 publications: 8 scientists 812–821 publications: 8 scientists 822–831 publications: 7 scientists 832–841 publications: 11 scientists 842–851 publications: 10 scientists 852–861 publications: 5 scientists 862–871 publications: 9 scientists 872–881 publications: 4 scientists 882–891 publications: 6 scientists 892–901 publications: 3 scientists 902–911 publications: 6 scientists 912–921 publications: 3 scientists 922–931 publications: 2 scientists 932–941 publications: 2 scientists 942–951 publications: 2 scientists 952–961 publications: 3 scientists 962–971 publications: 3 scientists 972–981 publications: 3 scientists 982–990 publications: 5 scientists 991+ publications: 100 scientists
32 publications 991+

This scientist: 115 publications — 13th percentile

13% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 991 publications or more.

Shubham Tulsiani D-index placement in Computer Science in 2026

The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Shubham Tulsiani sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 983 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 968 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 763 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 518 scientists 54–55 D-Index: 500 scientists 56–57 D-Index: 458 scientists 58–59 D-Index: 400 scientists 60–61 D-Index: 337 scientists 62–63 D-Index: 308 scientists 64–65 D-Index: 292 scientists 66–67 D-Index: 249 scientists 68–69 D-Index: 213 scientists 70–71 D-Index: 192 scientists 72–73 D-Index: 189 scientists 74–75 D-Index: 165 scientists 76–77 D-Index: 139 scientists 78–79 D-Index: 119 scientists 80–81 D-Index: 121 scientists 82–83 D-Index: 113 scientists 84–85 D-Index: 88 scientists 86–87 D-Index: 87 scientists 88–89 D-Index: 75 scientists 90–91 D-Index: 69 scientists 92–93 D-Index: 57 scientists 94–95 D-Index: 46 scientists 96–97 D-Index: 38 scientists 98–99 D-Index: 34 scientists 100–101 D-Index: 36 scientists 102–103 D-Index: 27 scientists 104–105 D-Index: 37 scientists 106–107 D-Index: 18 scientists 108–109 D-Index: 31 scientists 110–111 D-Index: 19 scientists 112–113 D-Index: 16 scientists 114–115 D-Index: 12 scientists 116–117 D-Index: 20 scientists 118–119 D-Index: 15 scientists 120–121 D-Index: 5 scientists 122–123 D-Index: 20 scientists 124–125 D-Index: 8 scientists 126–127 D-Index: 5 scientists 128–129 D-Index: 7 scientists 130 D-Index: 3 scientists 131+ D-Index: 98 scientists
30 D-Index 131+

This scientist: 34 D-Index — 16th percentile

16% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 131 D-Index or more.

Research.com Recognitions

  • 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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