World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
60
Citations
16113
World Ranking
3208
National Ranking
1558

Research.com Recognitions

  • 2010 - IEEE Fellow For contributions to biometric recognition methods
  • 1991 - SPIE Fellow

Overview

B. V. K. Vijaya Kumar is affiliated with Carnegie Mellon University in the United States. Their research primarily spans the field of Computer Science, with a focus on subfields including Computer Vision and Pattern Recognition, Molecular Biology, Artificial Intelligence, Education, and Radiology, Nuclear Medicine and Imaging.

The scientist's work addresses topics such as Face Recognition and Analysis, Advanced Neural Network Applications, Video Surveillance and Tracking Methods, Human Pose and Action Recognition, Generative Adversarial Networks and Image Synthesis, Advanced Image and Video Retrieval Techniques, and Adversarial Robustness in Machine Learning.

Recent publications by B. V. K. Vijaya Kumar include:

  • Comprehensive Attention Self-Distillation for Weakly-Supervised Object Detection, 2020, arXiv (Cornell University)
  • Mutual Information Regularized Feature-level Frankenstein for Discriminative Recognition, 2021, IEEE Transactions on Pattern Analysis and Machine Intelligence
  • Joint Disentangling and Adaptation for Cross-Domain Person Re-Identification, 2020, arXiv (Cornell University)
  • Fundus GAN - GAN-based Fundus Image Synthesis for Training Retinal Image Classifiers, 2022, 2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)
  • A Map Inference Approach Using Signal Processing from Crowd-sourced GPS Data, 2021, ACM Transactions on Spatial Algorithms and Systems

Frequent co-authors associated with B. V. K. Vijaya Kumar include Yang Zou, Xiaodong Yang, Zhiding Yu, Jan Kautz, and Xiaofeng Liu.

The scientist has published repeatedly in venues such as:

  • arXiv (Cornell University)
  • IEEE Transactions on Pattern Analysis and Machine Intelligence
  • 2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)
  • ACM Transactions on Spatial Algorithms and Systems
  • Journal of Communications and Networks

B. V. K. Vijaya Kumar has been recognized as a Fellow of the IEEE since 2010 for contributions to biometric recognition methods. They are also a SPIE Fellow since 1991.

Best Publications

  • Unsupervised Domain Adaptation for Semantic Segmentation via Class-Balanced Self-training

    Yang Zou;Zhiding Yu;B. V. K. Vijaya Kumar;Jinsong Wang

  • Confidence Regularized Self-Training

    Yang Zou;Zhiding Yu;Xiaofeng Liu;B. V. K. Vijaya Kumar

  • Performance measures for correlation filters.

    B. V. K. Vijaya Kumar;L. Hassebrook

  • Tutorial survey of composite filter designs for optical correlators.

    B. V. K. Vijaya Kumar

  • Heartbeat Classification Using Morphological and Dynamic Features of ECG Signals

    Can Ye;B. V. K. Vijaya Kumar;M. T. Coimbra

  • Correlation Pattern Recognition

    B. V. K. Vijaya Kumar;Abhijit Mahalanobis;Richard D. Juday

  • Unconstrained correlation filters

    Abhijit Mahalanobis;B. V. K. Vijaya Kumar;Sewoong Song;S. R. F. Sims

  • A multi-sensor fusion system for moving object detection and tracking in urban driving environments

    Hyunggi Cho;Young-Woo Seo;B.V.K. Vijaya Kumar;Ragunathan Raj Rajkumar

  • Minimum-variance synthetic discriminant functions

    B. V. K. Vijaya Kumar

  • Cancelable biometric filters for face recognition

    M. Savvides;B.V.K. Vijaya Kumar;P.K. Khosla

  • Correlation Pattern Recognition

    Unknown

  • One Network to Solve Them All — Solving Linear Inverse Problems Using Deep Projection Models

    J. H. Rick Chang;Chun-Liang Li;Barnabas Poczos;B. V. K. Vijaya Kumar

  • Performance of the 802.11p Physical Layer in Vehicle-to-Vehicle Environments

    J. A. Fernandez;K. Borries;Lin Cheng;B. V. K. Vijaya Kumar

  • Efficient Calculation of Primary Images from a Set of Images

    Hiroyasu Murakami;B. V. K. Vijaya Kumar

  • Joint Disentangling and Adaptation for Cross-Domain Person Re-Identification.

    Yang Zou;Xiaodong Yang;Zhiding Yu;B. V. K. Vijaya Kumar

  • Subject identification from electroencephalogram (EEG) signals during imagined speech

    Katharine Brigham;B. V. K. Vijaya Kumar

  • Adaptive Deep Metric Learning for Identity-Aware Facial Expression Recognition

    Xiaofeng Liu;B. V. K. Vijaya Kumar;Jane You;Ping Jia

  • Optimal trade-off synthetic discriminant function filters for arbitrary devices

    B. V. K. Vijaya Kumar;Daniel W. Carlson;Abhijit Mahalanobis

  • Imagined Speech Classification with EEG Signals for Silent Communication: A Preliminary Investigation into Synthetic Telepathy

    Katharine Brigham;B. V. K. Vijaya Kumar

  • Illumination normalization using logarithm transforms for face authentication

    Marios Savvides;B. V. K. Vijaya Kumar

  • Correlation Filters for Object Alignment

    Vishnu Naresh Boddeti;Takeo Kanade;B. V. K. Vijaya Kumar

Frequent Co-Authors

Marios Savvides
Marios Savvides Carnegie Mellon University
David Casasent
David Casasent Carnegie Mellon University
Jane You
Jane You Hong Kong Polytechnic University
Arun Ross
Arun Ross Michigan State University
Aswin C. Sankaranarayanan
Aswin C. Sankaranarayanan Carnegie Mellon University
Nageswara S. V. Rao
Nageswara S. V. Rao Oak Ridge National Laboratory
Fan Bai
Fan Bai General Motors (United States)
B. Yegnanarayana
B. Yegnanarayana International Institute of Information Technology, Hyderabad
Pradeep K. Khosla
Pradeep K. Khosla University of California, San Diego
Xin Wang
Xin Wang Stony Brook University

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