World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
40
Citations
7124
World Ranking
9273
National Ranking
3945

Overview

Prakash Ishwar is affiliated with Boston University in the United States and has contributed extensively to the field of computer science, with a focus on computer vision and pattern recognition, artificial intelligence, and cognitive neuroscience. Their body of work spans 49 publications primarily within these domains.

Their research interests cover several specialized topics, including:

  • Domain Adaptation and Few-Shot Learning
  • Video Surveillance and Tracking Methods
  • Advanced Neural Network Applications
  • Human Pose and Action Recognition
  • Multimodal Machine Learning Applications
  • Neurobiology of Language and Bilingualism
  • Complex Network Analysis Techniques

Prakash Ishwar frequently publishes in venues such as arXiv (Cornell University) with 15 works, IEEE Access with 4 publications, as well as conferences and journals including the 2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), Frontiers in Digital Health, and Energy and Buildings.

Their recent papers include:

  • "WEPDTOF: A Dataset and Benchmark Algorithms for In-the-Wild People Detection and Tracking from Overhead Fisheye Cameras," 2022, 2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)
  • "Consistent long-term practice leads to consistent improvement: Benefits of self-managed therapy for language and cognitive deficits using a digital therapeutic," 2023, Frontiers in Digital Health
  • "High-accuracy people counting in large spaces using overhead fisheye cameras," 2024, Energy and Buildings
  • "Conditional entropy minimization principle for learning domain invariant representation features," 2022, 2022 26th International Conference on Pattern Recognition (ICPR)
  • "Automatic Identification of the Main Ionospheric Trough in Total Electron Content Images," 2022, Space Weather

Notable frequent co-authors collaborating with Prakash Ishwar include:

  • Janusz Konrad
  • Shuchin Aeron
  • Thuan Nguyen
  • Mertcan Cokbas
  • Boyang Lyu

Their work integrates multidisciplinary approaches combining computer vision, machine learning, and aspects of biomedical engineering, contributing to developments in areas such as video surveillance, neural network applications, and cognitive neuroscience.

Best Publications

  • Changedetection.net: A new change detection benchmark dataset

    Nil Goyette;Pierre-Marc Jodoin;Fatih Porikli;Janusz Konrad

  • CDnet 2014: An Expanded Change Detection Benchmark Dataset

    Yi Wang;Pierre-Marc Jodoin;Fatih Porikli;Janusz Konrad

  • On compressing encrypted data

    M. Johnson;P. Ishwar;V. Prabhakaran;D. Schonberg

  • Big Social Data Analytics in Journalism and Mass Communication: Comparing Dictionary-Based Text Analysis and Unsupervised Topic Modeling

    Lei Guo;Chris J. Vargo;Zixuan Pan;Weicong Ding

  • Distributed video coding in wireless sensor networks

    R. Puri;A. Majumdar;P. Ishwar;K. Ramchandran

  • A gesture-driven computer interface using Kinect

    Kam Lai;Janusz Konrad;Prakash Ishwar

  • Action Recognition Using Sparse Representation on Covariance Manifolds of Optical Flow

    Kai Guo;Prakash Ishwar;Janusz Konrad

  • 2D-to-3D image conversion by learning depth from examples

    Janusz Konrad;Meng Wang;Prakash Ishwar

  • Action Recognition From Video Using Feature Covariance Matrices

    Kai Guo;P. Ishwar;J. Konrad

  • Learning-Based, Automatic 2D-to-3D Image and Video Conversion

    Janusz Konrad;Meng Wang;Prakash Ishwar;Chen Wu

  • Secure Biometrics: Concepts, Authentication Architectures, and Challenges

    S. Rane;Ye Wang;S. C. Draper;P. Ishwar

  • Image saliency: From intrinsic to extrinsic context

    Meng Wang;Janusz Konrad;Prakash Ishwar;Kevin Jing

  • On rate-constrained distributed estimation in unreliable sensor networks

    P. Ishwar;R. Puri;K. Ramchandran;S.S. Pradhan

  • Some Results on Distributed Source Coding for Interactive Function Computation

    Nan Ma;P. Ishwar

  • VGAN-Based Image Representation Learning for Privacy-Preserving Facial Expression Recognition

    Jiawei Chen;Janusz Konrad;Prakash Ishwar

  • BSUV-Net: A Fully-Convolutional Neural Network for Background Subtraction of Unseen Videos

    M. Ozan Tezcan;Prakash Ishwar;Janusz Konrad

  • Distributed sampling for dense sensor networks: a Bit-conservation principle

    Prakash Ishwar;Animesh Kumar;Kannan Ramchandran

  • A novel video dataset for change detection benchmarking.

    Nil Goyette;Pierre-Marc Jodoin;Fatih Murat Porikli;Janusz Konrad

  • Towards a theory for video coding using distributed compression principles

    Prakash Ishwar;V.M. Prabhakaran;Kannan Ramchandran

  • Video Condensation by Ribbon Carving

    Zhuang Li;P. Ishwar;J. Konrad

Frequent Co-Authors

Janusz Konrad
Janusz Konrad Boston University
Venkatesh Saligrama
Venkatesh Saligrama Boston University
Kannan Ramchandran
Kannan Ramchandran University of California, Berkeley
Pierre Moulin
Pierre Moulin University of Illinois at Urbana-Champaign
Margrit Betke
Margrit Betke Boston University
Stark C. Draper
Stark C. Draper University of Toronto
Jan M. Rabaey
Jan M. Rabaey University of California, Berkeley
Fatih Porikli
Fatih Porikli Australian National University
Pierre-Marc Jodoin
Pierre-Marc Jodoin Université de Sherbrooke
William Clement Karl
William Clement Karl Boston University

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