World's Best Scientists 2026 revealed!

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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