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Computer Science

D-Index
51
Citations
21669
World Ranking
5202
National Ranking
239

Overview

Visvanathan Ramesh is affiliated with Goethe University Frankfurt in Germany. Their research activity spans multiple domains within computer science and engineering, with a focus on artificial intelligence and structural engineering.

Their work primarily addresses topics related to domain adaptation and few-shot learning, neural networks and applications, machine learning and algorithms, and generative adversarial networks and image synthesis. Additional areas of interest include infrastructure maintenance and monitoring, cell image analysis techniques, and human pose and action recognition.

Visvanathan Ramesh has contributed extensively to the body of academic knowledge through numerous publications. These include:

  • A wholistic view of continual learning with deep neural networks: Forgotten lessons and the bridge to active and open world learning (2023, Neural Networks)
  • Unified Probabilistic Deep Continual Learning through Generative Replay and Open Set Recognition (2022, Journal of Imaging)
  • Chronic within-hive video recordings detect altered nursing behaviour and retarded larval development of neonicotinoid treated honey bees (2020, Scientific Reports)
  • A Wholistic View of Continual Learning with Deep Neural Networks: Forgotten Lessons and the Bridge to Active and Open World Learning (2020, arXiv (Cornell University))
  • A Procedural World Generation Framework for Systematic Evaluation of Continual Learning (2021, arXiv (Cornell University))

Their publication record includes frequent contributions to venues such as arXiv (Cornell University), Zenodo (CERN European Organization for Nuclear Research), Neural Networks, Journal of Imaging, and Scientific Reports. Most of the papers have appeared in arXiv, which houses a significant portion of their research output.

Visvanathan Ramesh often collaborates with other researchers. Frequent co-authors include:

  • Martin Mundt
  • Iuliia Pliushch
  • Achref Jaziri
  • Timm Hess
  • Andres Fernandez Rodriguez

Their main fields of study consolidate a strong background in computer science, with thirty-two publications, alongside engineering, with twenty publications. Subfields represented in their research include artificial intelligence, civil and structural engineering, computer vision and pattern recognition, biophysics, and plant science.

Best Publications

  • Kernel-based object tracking

    D. Comaniciu;V. Ramesh;P. Meer

  • Real-time tracking of non-rigid objects using mean shift

    D. Comaniciu;V. Ramesh;P. Meer

  • The variable bandwidth mean shift and data-driven scale selection

    D. Comaniciu;V. Ramesh;P. Meer

  • A system for traffic sign detection, tracking, and recognition using color, shape, and motion information

    C. Bahlmann;Y. Zhu;Visvanathan Ramesh;M. Pellkofer

  • Background modeling and subtraction of dynamic scenes

    Monnet;Mittal;Paragios;Visvanathan Ramesh

  • Gradient vector flow fast geodesic active contours

    N. Paragios;O. Mellina-Gottardo;V. Ramesh

  • Gradient vector flow fast geometric active contours

    N. Paragios;O. Mellina-Gottardo;V. Ramesh

  • Mean shift and optimal prediction for efficient object tracking

    D. Comaniciu;V. Ramesh

  • Statistical calibration of CCD imaging process

    Y. Tsin;V. Ramesh;T. Kanade

  • A MRF-based approach for real-time subway monitoring

    N. Paragios;V. Ramesh

  • Topology free hidden Markov models: application to background modeling

    B. Stenger;V. Ramesh;N. Paragios;F. Coetzee

  • Statistical modeling and performance characterization of a real-time dual camera surveillance system

    M. Greiffenhagen;V. Ramesh;D. Comaniciu;H. Niemann

  • Error analysis of background adaption

    Xiang Gao;T.E. Boult;F. Coetzee;V. Ramesh

  • Non-rigid registration using distance functions

    Nikos Paragios;Mikael Rousson;Visvanathan Ramesh

  • System and method for gesture interface

    Che-Bin Liu;Visvanathan Ramesh;Bernhard Geiger

  • Special issue on video communications, processing, and understanding for third generation surveillance systems

    Carlo S. Regazzoni;Visvanathan Ramesh;Gian Luca Foresti

  • Robust detection and tracking of human faces with an active camera

    D. Comaniciu;V. Ramesh

  • Matching Distance Functions: A Shape-to-Area Variational Approach for Global-to-Local Registration

    Nikos Paragios;Mikael Rousson;Visvanathan Ramesh

  • Real-time video object generation for smart cameras

    Dorin Comaniciu;Alessio Del Bue;Visvanathan Ramesh

  • Adaptive resolution system and method for providing efficient low bit rate transmission of image data for distributed applications

    Dorin Comaniciu;Visvanathan Ramesh;Fabio Berton

Frequent Co-Authors

Dorin Comaniciu
Dorin Comaniciu Siemens (United States)
Terrance E. Boult
Terrance E. Boult University of Colorado Colorado Springs
Robert M. Haralick
Robert M. Haralick City University of New York
Arun Krishnan
Arun Krishnan Microsoft (United States)
Nikos Paragios
Nikos Paragios CentraleSupélec
Peter Meer
Peter Meer Rutgers, The State University of New Jersey
Nassir Navab
Nassir Navab Technical University of Munich
Richard Szeliski
Richard Szeliski University of Washington
Larry S. Davis
Larry S. Davis University of Maryland, College Park
Carlo S. Regazzoni
Carlo S. Regazzoni University of Genoa

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