World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
49
Citations
12420
World Ranking
5796
National Ranking
2632

Overview

Stan Birchfield is affiliated with Nvidia in the United States and has contributed extensively to research in computer science and engineering. Their work primarily focuses on computer vision and pattern recognition, as well as control and systems engineering.

Birchfield's research spans multiple subfields including:

  • Computer Vision and Pattern Recognition
  • Control and Systems Engineering
  • Aerospace Engineering
  • Signal Processing
  • Artificial Intelligence

The main topics of Birchfield's scholarly activity cover areas such as:

  • Robot Manipulation and Learning
  • Human Pose and Action Recognition
  • Robotics and Sensor-Based Localization
  • Advanced Neural Network Applications
  • Advanced Vision and Imaging
  • Speech and Audio Processing
  • Music and Audio Processing

Birchfield has published in a variety of venues with a strong presence in arXiv (Cornell University), contributing 43 publications there. Other notable venues include the 2022 International Conference on Robotics and Automation (ICRA), International Journal of Computer Vision, the 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), and IEEE Transactions on Pattern Analysis and Machine Intelligence.

Recent papers authored or co-authored by Birchfield include:

  • "MegaPose: 6D Pose Estimation of Novel Objects via Render & Compare" (2022, arXiv (Cornell University))
  • "Single-Stage Keypoint- Based Category-Level Object Pose Estimation from an RGB Image" (2022, 2022 International Conference on Robotics and Automation (ICRA))
  • "PredictionNet: Real-Time Joint Probabilistic Traffic Prediction for Planning, Control, and Simulation" (2022, 2022 International Conference on Robotics and Automation (ICRA))
  • "Vicinity Vision Transformer" (2023, IEEE Transactions on Pattern Analysis and Machine Intelligence)
  • "Audio-Visual Segmentation with Semantics" (2024, International Journal of Computer Vision)

Frequent collaborators in Birchfield's research include Jonathan Tremblay, Stephen Tyree, Bowen Wen, and Valts Blukis. This indicates the presence of ongoing partnerships that have resulted in multiple co-authored works.

Best Publications

  • Elliptical head tracking using intensity gradients and color histograms

    S. Birchfield

  • Depth Discontinuities by Pixel-to-Pixel Stereo

    Stan Birchfield;Carlo Tomasi

  • A pixel dissimilarity measure that is insensitive to image sampling

    S. Birchfield;C. Tomasi

  • Training Deep Networks with Synthetic Data: Bridging the Reality Gap by Domain Randomization

    Jonathan Tremblay;Aayush Prakash;David Acuna;Mark Brophy

  • Spatiograms versus histograms for region-based tracking

    S.T. Birchfield;Sriram Rangarajan

  • CityFlow: A City-Scale Benchmark for Multi-Target Multi-Camera Vehicle Tracking and Re-Identification

    Zheng Tang;Milind Naphade;Ming-Yu Liu;Xiaodong Yang

  • DERVISH An Office-Navigating Robot

    Illah R. Nourbakhsh;Rob Powers;Stan Birchfield

  • Multiway cut for stereo and motion with slanted surfaces

    S. Birchfield;C. Tomasi

  • Deep Object Pose Estimation for Semantic Robotic Grasping of Household Objects

    Jonathan Tremblay;Thang To;Balakumar Sundaralingam;Yu Xiang

  • Toward low-flying autonomous MAV trail navigation using deep neural networks for environmental awareness

    Nikolai Smolyanskiy;Alexey Kamenev;Jeffrey Smith;Stan Birchfield

  • Structured Domain Randomization: Bridging the Reality Gap by Context-Aware Synthetic Data

    Aayush Prakash;Shaad Boochoon;Mark Brophy;David Acuna

  • DexYCB: A Benchmark for Capturing Hand Grasping of Objects

    Yu-Wei Chao;Wei Yang;Yu Xiang;Pavlo Molchanov

  • Depth discontinuities by pixel-to-pixel stereo

    S. Birchfield;C. Tomasi

  • Real-Time Incremental Segmentation and Tracking of Vehicles at Low Camera Angles Using Stable Features

    N.K. Kanhere;S.T. Birchfield

  • Adaptive fragments-based tracking of non-rigid objects using level sets

    Prakash Chockalingam;Nalin Pradeep;Stan Birchfield

  • DexPilot: Vision-Based Teleoperation of Dexterous Robotic Hand-Arm System

    Ankur Handa;Karl Van Wyk;Wei Yang;Jacky Liang

  • PAMTRI: Pose-Aware Multi-Task Learning for Vehicle Re-Identification Using Highly Randomized Synthetic Data

    Zheng Tang;Milind Naphade;Stan Birchfield;Jonathan Tremblay

  • BundleSDF: Neural 6-DoF Tracking and 3D Reconstruction of Unknown Objects

    Unknown

  • Falling Things: A Synthetic Dataset for 3D Object Detection and Pose Estimation

    Jonathan Tremblay;Thang To;Stan Birchfield

  • Vehicle segmentation and tracking from a low-angle off-axis camera

    N.K. Kanhere;S.J. Pundlik;S.T. Birchfield

  • Qualitative Vision-Based Path Following

    Zhichao Chen;S.T. Birchfield

  • Qualitative vision-based mobile robot navigation

    Zhichao Chen;S.T. Birchfield

Frequent Co-Authors

Ian D. Walker
Ian D. Walker Clemson University
Jan Kautz
Jan Kautz Nvidia (United States)
Dieter Fox
Dieter Fox University of Washington
Byron Boots
Byron Boots University of Washington
Xiaodong Yang
Xiaodong Yang Nvidia (United Kingdom)
Carlo Tomasi
Carlo Tomasi Duke University
Milind R. Naphade
Milind R. Naphade Nvidia (United States)
Yuke Zhu
Yuke Zhu The University of Texas at Austin
Zheng Tang
Zheng Tang Donghua University
Andrew T. Duchowski
Andrew T. Duchowski Clemson University

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