World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
88
Citations
43394
World Ranking
665
National Ranking
354

Research.com Recognitions

  • 2014 - IAPR P. Zamperoni Award Generalized Radial Alignment Constraint for Camera Calibration
  • 1996 - Fellow of the International Association for Pattern Recognition (IAPR) For contributions to computer vision, including texture analysis, dot pattern clustering, and image segmentation
  • 1996 - ACM Fellow For contributions to computer vision including hierarchical representation, active sensing, analysis guided synthesis, multidimensional modeling, computational sensors, and multiprocessor architectures.
  • 1996 - Fellow of the American Association for the Advancement of Science (AAAS)
  • 1995 - SPIE Fellow
  • 1992 - IEEE Fellow For contributions to three-dimensional computer vision.
  • 1992 - Fellow of the Association for the Advancement of Artificial Intelligence (AAAI) For significant contributions to the integration of multiple cues for three-dimensional and active vision; object representation and path planning; and multiprocessor architectures for computer vision.

Overview

Narendra Ahuja is affiliated with the University of Illinois at Urbana-Champaign in the United States. Their research primarily resides within the domain of computer science, with a focus on several specialized subfields including computer vision and pattern recognition, artificial intelligence, signal processing, small animals, and pulmonary and respiratory medicine.

Their recent publications reflect a diverse research scope, spanning agriculture, medical applications, and fundamental advances in AI-driven vision techniques. Notable papers include:

  • "Barriers to computer vision applications in pig production facilities," 2022, published in Computers and Electronics in Agriculture
  • "Estimation of Respiratory Rate from Breathing Audio," 2022, presented at the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)
  • "CSL: Class-Agnostic Structure-Constrained Learning for Segmentation Including the Unseen," 2024, featured in the Proceedings of the AAAI Conference on Artificial Intelligence
  • "Promote computer vision applications in pig farming scenarios: high-quality dataset, fundamental models, and comparable performance," 2024, published in Journal of Integrative Agriculture
  • "Machine learning-enabled computer vision for plant phenotyping: a primer on AI/ML and a case study on stomatal patterning," 2024, published in Journal of Experimental Botany

Their research addresses themes such as human pose and action recognition, advanced vision and imaging, animal behavior and welfare studies, music and audio processing, food supply chain traceability, phonocardiography and auscultation techniques, and non-invasive vital sign monitoring.

Frequent collaborators include Frede Blaabjerg, Dushan Boroyevich, Hsiao-Dong Chiang, Kukjin Chun, and Dominique Collard, each having coauthored multiple publications with Ahuja.

Their work has been published in various venues, regularly contributing to archives such as arXiv (Cornell University), IEEJ Transactions on Electrical and Electronic Engineering, the IEEE/CVF International Conference on Computer Vision (ICCV), Computers and Electronics in Agriculture, and the IEEE Engineering in Medicine & Biology Society conference.

Narendra Ahuja has received several awards and distinctions, including the IAPR P. Zamperoni Award in 2014 for work on camera calibration. They have been recognized as a fellow by multiple organizations: the International Association for Pattern Recognition (IAPR) in 1996 for contributions to computer vision techniques such as texture analysis and image segmentation; the American Association for the Advancement of Science (AAAS) in 1996; the ACM in 1996 for work on hierarchical representation and active sensing; SPIE in 1995; IEEE in 1992 for three-dimensional computer vision; and the Association for the Advancement of Artificial Intelligence (AAAI) in 1992 for contributions to 3D and active vision systems as well as multiprocessor architectures for computer vision.

Best Publications

  • Detecting faces in images: a survey

    Ming-Hsuan Yang;D.J. Kriegman;N. Ahuja

  • Single image super-resolution from transformed self-exemplars

    Jia-Bin Huang;Abhishek Singh;Narendra Ahuja

  • Deep Laplacian Pyramid Networks for Fast and Accurate Super-Resolution

    Wei-Sheng Lai;Jia-Bin Huang;Narendra Ahuja;Ming-Hsuan Yang

  • Gross motion planning—a survey

    Yong K. Hwang;Narendra Ahuja

  • Robust Visual Tracking via Structured Multi-Task Sparse Learning

    Tianzhu Zhang;Bernard Ghanem;Si Liu;Narendra Ahuja

  • A potential field approach to path planning

    Y.K. Hwang;N. Ahuja

  • Fast and Accurate Image Super-Resolution with Deep Laplacian Pyramid Networks

    Wei-Sheng Lai;Jia-Bin Huang;Narendra Ahuja;Ming-Hsuan Yang

  • Robust visual tracking via multi-task sparse learning

    Tianzhu Zhang;Bernard Ghanem;Si Liu;Narendra Ahuja

  • Motion and structure from two perspective views: algorithms, error analysis, and error estimation

    J. Weng;T.S. Huang;N. Ahuja

  • A SNoW-Based Face Detector

    Ming-Hsuan Yang;Dan Roth;Narendra Ahuja

  • Real-time O(1) bilateral filtering

    Qingxiong Yang;Kar-Han Tan;Narendra Ahuja

  • Extraction of 2D motion trajectories and its application to hand gesture recognition

    Ming-Hsuan Yang;N. Ahuja;M. Tabb

  • Surfaces from stereo: integrating feature matching, disparity estimation, and contour detection

    W. Hoff;N. Ahuja

  • DeepMVS: Learning Multi-view Stereopsis

    Po-Han Huang;Kevin Matzen;Johannes Kopf;Narendra Ahuja

  • A new wavelet-based scheme for watermarking images

    R. Dugad;K. Ratakonda;N. Ahuja

  • Detecting human faces in color images

    Ming-Hsuan Yang;N. Ahuja

  • Optimal motion and structure estimation

    J. Weng;N. Ahuja;T.S. Huang

  • Image completion using planar structure guidance

    Jia-Bin Huang;Sing Bing Kang;Narendra Ahuja;Johannes Kopf

  • A Comparative Study for Single Image Blind Deblurring

    Wei-Sheng Lai;Jia-Bin Huang;Zhe Hu;Narendra Ahuja

  • Pedestrian recognition with a learned metric

    Mert Dikmen;Emre Akbas;Thomas S. Huang;Narendra Ahuja

Frequent Co-Authors

Ming-Hsuan Yang
Ming-Hsuan Yang University of California, Merced
Bernard Ghanem
Bernard Ghanem King Abdullah University of Science and Technology
Thomas S. Huang
Thomas S. Huang University of Illinois at Urbana-Champaign
Juyang Weng
Juyang Weng Michigan State University
Jia-Bin Huang
Jia-Bin Huang University of Maryland, College Park
Sinisa Todorovic
Sinisa Todorovic Oregon State University
Qingxiong Yang
Qingxiong Yang City University of Hong Kong
Tianzhu Zhang
Tianzhu Zhang University of Science and Technology of China
Hong Hua
Hong Hua University of Arizona
Arun Krishnan
Arun Krishnan Microsoft (United States)

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Pursuing a Computer Science degree in the USA opens the door to a range of alternative and related fields. Many students find that online degrees offer more flexibility and affordability, especially for those balancing work or personal commitments.

For those looking for a fast track, consider exploring an online computer science degree with accelerated options. These programs can help you graduate in less time while still gaining valuable skills.

Computer Science can also pair well with other technical fields. For example, an interest in sustainability might lead you to consider what can you do with an environmental science major—an area in high demand for tech-savvy problem solvers.

Engineering disciplines are also accessible online. Programs like the environmental engineering online degree or the cheapest mechanical engineering degree online make it possible to specialize while minimizing costs.

Whether you're interested in traditional computer science or want to branch out, there are plenty of online pathways to help you achieve your career goals.

Best Scientists Citing Narendra Ahuja

Trending Scientists

Recently Published Articles