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Computer Science

D-Index
62
Citations
15147
World Ranking
2903
National Ranking
1427

Overview

Marios Savvides is affiliated with Carnegie Mellon University in the United States. Their research is primarily situated in Computer Science, with an emphasis on areas such as Computer Vision and Pattern Recognition, Artificial Intelligence, Radiology, Nuclear Medicine and Imaging, Neurology, and Signal Processing.

Their work covers a range of topics, including:

  • Domain Adaptation and Few-Shot Learning
  • Advanced Neural Network Applications
  • Multimodal Machine Learning Applications
  • Advanced Image and Video Retrieval Techniques
  • Face recognition and analysis
  • Machine Learning and Data Classification
  • Machine Learning and ELM

Marios Savvides has published extensively, with a total of 111 publications in their main field. They have contributed significantly to venues such as:

  • arXiv (Cornell University)
  • Alzheimer's & Dementia
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • NeuroImage
  • Artificial Intelligence Review

Recent papers authored or coauthored by Savvides include:

  • Deep reinforcement learning in computer vision: a comprehensive survey, 2021, Artificial Intelligence Review
  • FreeMatch: Self-adaptive Thresholding for Semi-supervised Learning, 2022, arXiv (Cornell University)
  • Partial Is Better Than All: Revisiting Fine-tuning Strategy for Few-shot Learning, 2021, Proceedings of the AAAI Conference on Artificial Intelligence
  • SoftMatch: Addressing the Quantity-Quality Trade-off in Semi-supervised Learning, 2023, arXiv (Cornell University)
  • Un-mix: Rethinking Image Mixtures for Unsupervised Visual Representation Learning, 2022, Proceedings of the AAAI Conference on Artificial Intelligence

Frequent collaborators include:

  • Zhiqiang Shen
  • Zechun Liu
  • Kwang-Ting Cheng
  • Chenchen Zhu
  • Fangyi Chen

Best Publications

  • Feature Selective Anchor-Free Module for Single-Shot Object Detection

    Chenchen Zhu;Yihui He;Marios Savvides

  • Bounding Box Regression With Uncertainty for Accurate Object Detection

    Yihui He;Chenchen Zhu;Jianren Wang;Marios Savvides

  • Cancelable biometric filters for face recognition

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

  • ReActNet: Towards Precise Binary Neural Network with Generalized Activation Functions

    Zechun Liu;Zhiqiang Shen;Marios Savvides;Kwang-Ting Cheng

  • CMS-RCNN: Contextual Multi-Scale Region-Based CNN for Unconstrained Face Detection

    Chenchen Zhu;Yutong Zheng;Khoa Luu;Marios Savvides

  • Local Binary Convolutional Neural Networks

    Felix Juefei-Xu;Vishnu Naresh Boddeti;Marios Savvides

  • Semantic Relation Reasoning for Shot-Stable Few-Shot Object Detection

    Chenchen Zhu;Fangyi Chen;Uzair Ahmed;Zhiqiang Shen

  • Deep reinforcement learning in computer vision: a comprehensive survey

    Ngan Le;Ngan Le;Vidhiwar Singh Rathour;Vidhiwar Singh Rathour;Kashu Yamazaki;Kashu Yamazaki;Khoa Luu;Khoa Luu

  • Ring Loss: Convex Feature Normalization for Face Recognition

    Yutong Zheng;Dipan K. Pal;Marios Savvides

  • A Bayesian Approach to Deformed Pattern Matching of Iris Images

    J. Thornton;M. Savvides;V. Kumar

  • FreeMatch: Self-adaptive Thresholding for Semi-supervised Learning

    Unknown

  • Illumination normalization using logarithm transforms for face authentication

    Marios Savvides;B. V. K. Vijaya Kumar

  • Correlation Pattern Recognition for Face Recognition

    B.V.K.V. Kumar;M. Savvides;Chunyan Xie

  • Investigating age invariant face recognition based on periocular biometrics

    Felix Juefei-Xu;Khoa Luu;Marios Savvides;Tien D. Bui

  • Unconstrained Pose-Invariant Face Recognition Using 3D Generic Elastic Models

    U. Prabhu;Jingu Heo;M. Savvides

  • Multiple Scale Faster-RCNN Approach to Driver’s Cell-Phone Usage and Hands on Steering Wheel Detection

    T. Hoang Ngan Le;Yutong Zheng;Chenchen Zhu;Khoa Luu

  • Soft Anchor-Point Object Detection

    Chenchen Zhu;Fangyi Chen;Zhiqiang Shen;Marios Savvides

  • NIR-VIS heterogeneous face recognition via cross-spectral joint dictionary learning and reconstruction

    Felix Juefei-Xu;Dipan K. Pal;Marios Savvides

  • Eigenphases vs eigenfaces

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

  • Biometric authentication on iPhone and Android: Usability, perceptions, and influences on adoption

    Rasekhar Bhagavatula;Blase Ur;Kevin Iacovino;Su Mon Kywe

  • How to Generate Spoofed Irises From an Iris Code Template

    S Venugopalan;M Savvides

Frequent Co-Authors

B. V. K. Vijaya Kumar
B. V. K. Vijaya Kumar Carnegie Mellon University
Felix Juefei-Xu
Felix Juefei-Xu Facebook (United States)
Pradeep K. Khosla
Pradeep K. Khosla University of California, San Diego
Kwang-Ting Cheng
Kwang-Ting Cheng Hong Kong University of Science and Technology
Tien D. Bui
Tien D. Bui Concordia University
Ching Y. Suen
Ching Y. Suen Concordia University
Robert M. Friedman
Robert M. Friedman Oregon Health & Science University
Thomas S. Huang
Thomas S. Huang University of Illinois at Urbana-Champaign
B. Yegnanarayana
B. Yegnanarayana International Institute of Information Technology, Hyderabad

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