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Computer Science

D-Index
46
Citations
17087
World Ranking
6662
National Ranking
2944

Overview

Padmanabhan Anandan is affiliated with Microsoft in the United States. Their research primarily spans the field of Computer Science, with a focus on subfields such as Computer Vision and Pattern Recognition, Artificial Intelligence, Computer Networks and Communications, Information Systems, and Media Technology.

The work of Anandan covers several main topics, including:

  • IoT and Edge/Fog Computing
  • Image and Signal Denoising Methods
  • Advanced Image Fusion Techniques
  • Brain Tumor Detection and Classification
  • Emotion and Mood Recognition
  • Neural Networks and Applications
  • Face and Expression Recognition

Anandan's recent publications reflect diverse contributions to these areas. Notable papers include:

  • "Design of an Automated Recurrent Neural Network for Emotional Intelligence Using Deep Neural Networks," published in 2022 at the 4th International Conference on Smart Systems and Inventive Technology (ICSSIT)
  • "Artificial Intelligence based Chat Bot for Patient Health Care," published in 2022 at the International Conference on Computer Communication and Informatics (ICCCI)
  • "Medical Image Denoising using Fast Discrete Curvelet Transform," published in 2020 in the International Journal of Emerging Trends in Engineering Research
  • "Lightweight Artificial Intelligence for Secure Data Communication in Energy-Constrained Healthcare Devices," published in 2022 in Computational Intelligence and Neuroscience
  • "Recent advancement in ScAlN/GaN high electron mobility transistors: Materials, properties, and device performance," published in 2025 in Materials Science in Semiconductor Processing

Frequent publication venues include:

  • 2022 International Conference on Computer Communication and Informatics (ICCCI)
  • IET conference proceedings
  • 2022 4th International Conference on Smart Systems and Inventive Technology (ICSSIT)
  • Computational Intelligence and Neuroscience
  • Materials Science in Semiconductor Processing

Anandan has collaborated with various researchers, among the most frequent coauthors are R. Prabha, Mr. Senthil G. A, S. Sivarajeswari, C Saravanakumar, and D. Vijendra Babu.

Best Publications

  • The Robust Estimation of Multiple Motions

    Michael J. Black;P. Anandan

  • Hierarchical Model-Based Motion Estimation

    James R. Bergen;P. Anandan;Keith J. Hanna;Rajesh Hingorani

  • A Computational Framework and an Algorithm for the Measurement of Visual

    P. Anandan

  • A framework for the robust estimation of optical flow

    M.J. Black;P. Anandan

  • System for automatically aligning images to form a mosaic image

    Peter J. Burt;Michal Irani;Stephen Charles Hsu;Padmanabhan Anandan

  • About Direct Methods

    Michal Irani;P. Anandan

  • A unified approach to moving object detection in 2D and 3D scenes

    M. Irani;P. Anandan

  • Mosaic based representations of video sequences and their applications

    M. Irani;P. Anandan;S. Hsu

  • Pattern-recognizing stochastic learning automata

    A. G. Barto;P. Anandan

  • Image exchange with image annotation

    Kentaro Toyama;David Vronay;Padmanabhan Anandan

  • System and method for exchanging images

    Kentaro Toyama;David Vronay;Padmanabhan Anandan

  • Video indexing based on mosaic representations

    M. Irani;P. Anandan

  • Robust dynamic motion estimation over time

    M.J. Black;P. Anandan

  • Efficient representations of video sequences and their applications

    Michal Irani;P. Anandan;Jim Bergen;Rakesh Kumar

  • Robust multi-sensor image alignment

    M. Irani;P. Anandan

  • Real-time scene stabilization and mosaic construction

    M. Hansen;P. Anandan;K. Dana;G. van der Wal

  • Layer extraction from multiple images containing reflections and transparency

    R. Szeliski;S. Avidan;P. Anandan

  • Direct recovery of shape from multiple views: a parallax based approach

    R. Kumar;P. Anandan;K. Hanna

  • A layered approach to stereo reconstruction

    S. Baker;R. Szeliski;P. Anandan

  • An integrated Bayesian approach to layer extraction from image sequences

    P.H.S. Torr;R. Szeliski;P. Anandan

Frequent Co-Authors

Michal Irani
Michal Irani Weizmann Institute of Science
Richard Szeliski
Richard Szeliski University of Washington
Rakesh Kumar
Rakesh Kumar SRI International
Heung-Yeung Shum
Heung-Yeung Shum Microsoft (United States)
Peter J. Burt
Peter J. Burt SRI International
Philip H. S. Torr
Philip H. S. Torr University of Oxford
Richard Hartley
Richard Hartley Australian National University
Jitendra Malik
Jitendra Malik University of California, Berkeley
Bill Triggs
Bill Triggs Laboratoire Jean Kuntzmann
Michael J. Black
Michael J. Black Max Planck Institute for Intelligent Systems

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