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Caroline Pantofaru 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 Caroline Pantofaru 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+

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

Caroline Pantofaru 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 Caroline Pantofaru 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+

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

Overview

Caroline Pantofaru is affiliated with Google in the United States and has contributed extensively to the fields of computer science and engineering, with a particular focus on computer vision and recognition technologies. Their research integrates aspects of advanced neural networks, robotics, and sensor-based systems, primarily aimed at interpreting complex visual environments.

The scientist's work spans several specialized subfields including computer vision and pattern recognition, aerospace engineering, computer graphics and computer-aided design, automotive engineering, and computational mechanics. The main research topics covered include:

  • Advanced Vision and Imaging
  • Advanced Neural Network Applications
  • Robotics and Sensor-Based Localization
  • Computer Graphics and Visualization Techniques
  • Image and Object Detection Techniques
  • Advanced Image Processing Techniques
  • Autonomous Vehicle Technology and Safety

Pantofaru has contributed to at least 22 publications in computer science and 7 in engineering, with frequent submissions to these venues:

  • arXiv (Cornell University)
  • 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • Lecture Notes in Computer Science
  • 2021 International Conference on 3D Vision (3DV)

Recent papers authored or coauthored by Caroline Pantofaru include:

  • Panoptic Neural Fields: A Semantic Object-Aware Neural Scene Representation, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • Pillar-based Object Detection for Autonomous Driving, 2020, arXiv (Cornell University)
  • Virtual Multi-view Fusion for 3D Semantic Segmentation, 2020, Lecture Notes in Computer Science
  • An LSTM Approach to Temporal 3D Object Detection in LiDAR Point Clouds, 2020, arXiv (Cornell University)
  • Learning 3D Semantic Segmentation with only 2D Image Supervision, 2021, 2021 International Conference on 3D Vision (3DV)

Collaborations have been a significant aspect of their research, with frequent coauthors including:

  • Abhijit Kundu
  • Alireza Fathi
  • Thomas Funkhouser
  • David A. Ross
  • Xiaoqi Yin

The combination of topics and collaborations indicates an emphasis on refining methods for 3D scene understanding, semantic segmentation, and object detection technologies that are relevant for both academic study and practical applications such as autonomous vehicle technology and robotics.

Best Publications

  • Toward Objective Evaluation of Image Segmentation Algorithms

    R. Unnikrishnan;C. Pantofaru;M. Hebert

  • AVA: A Video Dataset of Spatio-Temporally Localized Atomic Visual Actions

    Chunhui Gu;Chen Sun;David A. Ross;Carl Vondrick

  • Influences on proxemic behaviors in human-robot interaction

    Leila Takayama;Caroline Pantofaru

  • Towards autonomous robotic butlers: Lessons learned with the PR2

    Jonathan Bohren;Radu Bogdan Rusu;E. Gil Jones;Eitan Marder-Eppstein

  • A Measure for Objective Evaluation of Image Segmentation Algorithms

    R. Unnikrishnan;C. Pantofaru;M. Hebert

  • A General Framework for Tracking Multiple People from a Moving Camera

    Wongun Choi;C. Pantofaru;S. Savarese

  • Understanding Indoor Scenes Using 3D Geometric Phrases

    Wongun Choi;Yu-Wei Chao;Caroline Pantofaru;Silvio Savarese

  • Pillar-based Object Detection for Autonomous Driving

    Yue Wang;Alireza Fathi;Abhijit Kundu;David Alexander Ross

  • A Comparison of Image Segmentation Algorithms

    Caroline Pantofaru;Martial Hebert

  • Detecting and tracking people using an RGB-D camera via multiple detector fusion

    Wongun Choi;Caroline Pantofaru;Silvio Savarese

  • Object Recognition by Integrating Multiple Image Segmentations

    Caroline Pantofaru;Cordelia Schmid;Martial Hebert

  • Robots for humanity: using assistive robotics to empower people with disabilities

    T. L. Chen;M. Ciocarlie;S. Cousins;P. M. Grice

  • An adaptable system for RGB-D based human body detection and pose estimation

    Koen Buys;Cedric Cagniart;Anatoly Baksheev;Tinne De Laet

  • Virtual Multi-view Fusion for 3D Semantic Segmentation

    Abhijit Kundu;Xiaoqi(Michael) Yin;Alireza Fathi;David Alexander Ross

  • Ava Active Speaker: An Audio-Visual Dataset for Active Speaker Detection

    Joseph Roth;Sourish Chaudhuri;Ondrej Klejch;Radhika Marvin

  • Making technology homey: finding sources of satisfaction and meaning in home automation

    Leila Takayama;Caroline Pantofaru;David Robson;Bianca Soto

  • Discovering Groups of People in Images

    Wongun Choi;Yu-Wei Chao;Caroline Pantofaru;Silvio Savarese

  • Fast hand gesture recognition for real-time teleconferencing applications

    J. MacLean;R. Herpers;C. Pantofaru;L. Wood

  • An LSTM Approach to Temporal 3D Object Detection in LiDAR Point Clouds

    Rui Huang;Wanyue Zhang;Abhijit Kundu;Caroline Rebecca Pantofaru

  • A Step Toward More Inclusive People Annotations for Fairness

    Candice Schumann;Susanna Ricco;Utsav Prabhu;Vittorio Ferrari

Frequent Co-Authors

Cordelia Schmid
Cordelia Schmid French Institute for Research in Computer Science and Automation - INRIA
Martial Hebert
Martial Hebert Carnegie Mellon University
Thomas Funkhouser
Thomas Funkhouser Google (United States)
Silvio Savarese
Silvio Savarese Stanford University
Irfan Essa
Irfan Essa Georgia Institute of Technology
Andrew C. Gallagher
Andrew C. Gallagher Google (United States)
Frédéric Jurie
Frédéric Jurie Université de Caen Normandie
Jitendra Malik
Jitendra Malik University of California, Berkeley
Andreas Paepcke
Andreas Paepcke Stanford University

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