World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
74
Citations
24111
World Ranking
1480
National Ranking
771

Research.com Recognitions

  • 2012 - IEEE Fellow For contributions to video algorithms

Overview

Harpreet Sawhney is affiliated with Microsoft in the United States. Their research primarily focuses on computer science, with a strong emphasis on computer vision and pattern recognition, artificial intelligence, and industrial and manufacturing engineering.

The scientist's work covers several key topics, including:

  • Domain Adaptation and Few-Shot Learning
  • Advanced Neural Network Applications
  • Multimodal Machine Learning Applications
  • Human Pose and Action Recognition
  • Anomaly Detection Techniques and Applications
  • Video Surveillance and Tracking Methods
  • Image Retrieval and Classification Techniques

Harpreet Sawhney has contributed to the following recent papers:

  • "Self-supervised Learning with Local Contrastive Loss for Detection and Semantic Segmentation," 2023, 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)
  • "Domain-Specific Priors and Meta Learning for Few-Shot First-Person Action Recognition," 2021, IEEE Transactions on Pattern Analysis and Machine Intelligence
  • "ShapeICP: Iterative Category-Level Object Pose and Shape Estimation From Depth," 2025, IEEE Robotics and Automation Letters
  • "Self-supervised Learning with Local Contrastive Loss for Detection and Semantic Segmentation," 2022, arXiv (Cornell University)
  • "STEPs: Self-Supervised Key Step Extraction and Localization from Unlabeled Procedural Videos," 2023, arXiv (Cornell University)

Their frequent collaborators include:

  • Ben Lundell
  • Sudipta N. Sinha
  • Peter Morales
  • Richard J. Radke
  • Ashraful Islam

Harpreet Sawhney's research has been disseminated through several publication venues, notably:

  • arXiv (Cornell University)
  • 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)
  • IEEE Transactions on Pattern Analysis and Machine Intelligence
  • IEEE Robotics and Automation Letters

In recognition of their contributions, Harpreet Sawhney was named an IEEE Fellow in 2012, cited specifically for contributions to video algorithms.

Best Publications

  • Query by image and video content: the QBIC system

    M. Flickner;H. Sawhney;W. Niblack;J. Ashley

  • Efficient color histogram indexing for quadratic form distance functions

    J. Hafner;H.S. Sawhney;W. Equitz;M. Flickner

  • Fast Similarity Search in the Presence of Noise, Scaling, and Translation in Time-Series Databases

    Rakesh Agrawal;King-Ip Lin;Harpreet S. Sawhney;Kyuseok Shim

  • Compact representations of videos through dominant and multiple motion estimation

    H.S. Sawhney;S. Ayer

  • Object tracking with Bayesian estimation of dynamic layer representations

    Hai Tao;H.S. Sawhney;R. Kumar

  • True multi-image alignment and its application to mosaicing and lens distortion correction

    H.S. Sawhney;R. Kumar

  • Method and apparatus for total situational awareness and monitoring

    Manoj Aggarwal;Keith Hanna;Harpreet Sawhney;Vincent Paragano

  • A global matching framework for stereo computation

    H. Tao;H.S. Sawhney;R. Kumar

  • Method and apparatus for synthesizing new video and/or still imagery from a collection of real video and/or still imagery

    Harpreet Singh Sawhney;Hai Tao;Rakesh Kumar;Keith Hanna

  • Method for generating a three-dimensional model of a roof structure

    Vivek Verma;Rakesh Kumar;Stephen Charles Hsu;Harpreet Sawhney

  • Method and apparatus for processing images to compute image flow information

    Keith James Hanna;Rakesh Kumar;James Russell Bergen;Harpreet Singh Sawhney

  • Bilateral Filtering-Based Optical Flow Estimation with Occlusion Detection

    Jiangjian Xiao;Hui Cheng;Harpreet Sawhney;Cen Rao

  • Robust Video Mosaicing through Topology Inference and Local to Global Alignment

    Harpreet S. Sawhney;Steve Hsu;Rakesh Kumar

  • Layered representation of motion video using robust maximum-likelihood estimation of mixture models and MDL encoding

    Unknown

  • Aerial video surveillance and exploitation

    R. Kumar;H. Sawhney;S. Samarasekera;S. Hsu

  • Method and apparatus for performing local to global multiframe alignment to construct mosaic images

    Stephen Charles Hsu;Rakesh Kumar;Harpreet Singh Sawhney;James R Bergen

  • Method and apparatus for providing immersive surveillance

    Aydin Arpa;Keith J. Hanna;Rakesh Kumar;Supun Samarasekera

  • Method and apparatus for automatically generating a site model

    Yanlin Guo;Rakesh Kumar;Stephen Charles Hsu;Harpreet Singh Sawhney

  • Method and apparatus for processing images

    Keith Hanna;Rakesh Kumar;James Bergen;Harpreet Sawhney

  • Method and system for performing surveillance

    Manoj Aggarwal;Harpreet Sawhney;Supun Samarasakera;Rakesh Kumar

  • Recognition and volume estimation of food intake using a mobile device

    Manika Puri;Zhiwei Zhu;Qian Yu;Ajay Divakaran

Frequent Co-Authors

Rakesh Kumar
Rakesh Kumar SRI International
Supun Samarasekera
Supun Samarasekera SRI International
Ying Shan
Ying Shan Tencent (China)
Rakesh Kumar
Rakesh Kumar University of Illinois at Urbana-Champaign
James R. Bergen
James R. Bergen SRI International
Ajay Divakaran
Ajay Divakaran SRI International
Peter J. Burt
Peter J. Burt SRI International
Zhiwei Zhu
Zhiwei Zhu SRI International
Mubarak Shah
Mubarak Shah University of Central Florida
Richard Szeliski
Richard Szeliski University of Washington

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