World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
32
Citations
12256
World Ranking
12849
National Ranking
5178

Research.com Recognitions

  • 2008 - IEEE Fellow For contributions to statistical signal processing, multiscale analysis, estimation and detection, and image analysis

Overview

Hamid Krim is affiliated with North Carolina State University in the United States. Their research primarily spans the fields of Computer Science and Engineering, with notable contributions in subfields including Artificial Intelligence, Computer Vision and Pattern Recognition, Signal Processing, Media Technology, and Computational Mechanics.

Their work covers a variety of topics such as Remote-Sensing Image Classification, Domain Adaptation and Few-Shot Learning, Speech and Audio Processing, Face and Expression Recognition, Human Pose and Action Recognition, Anomaly Detection Techniques and Applications, and Image and Signal Denoising Methods.

Hamid Krim has published in multiple venues, with frequent publications appearing in arXiv (Cornell University), SSRN Electronic Journal, IEEE Sensors Journal, Atmosphere, and Neurocomputing.

Recent papers include:

  • Atlantic Hurricane Activity Prediction: A Machine Learning Approach (2021, Atmosphere)
  • Robust Multi-Modal Sensor Fusion: An Adversarial Approach (2020, IEEE Sensors Journal)
  • Deep Transform and Metric Learning Network: Wedding Deep Dictionary Learning and Neural Networks (2020, arXiv (Cornell University))
  • Deep transform and metric learning network: Wedding deep dictionary learning and neural network (2022, Neurocomputing)
  • Conquering the CNN Over-Parameterization Dilemma: A Volterra Filtering Approach for Action Recognition (2020, Proceedings of the AAAI Conference on Artificial Intelligence)

Frequent co-authors collaborating with Hamid Krim include:

  • Siddharth Roheda
  • Derya Cansever
  • Bo Jiang
  • Tianfu Wu
  • Sally Ghanem

Hamid Krim has been recognized as an IEEE Fellow in 2008 for contributions to statistical signal processing, multiscale analysis, estimation and detection, and image analysis.

Best Publications

  • Two decades of array signal processing research: the parametric approach

    H. Krim;M. Viberg

  • Time-invariant orthonormal wavelet representations

    J.-C. Pesquet;H. Krim;H. Carfantan

  • A Shearlet Approach to Edge Analysis and Detection

    Sheng Yi;D. Labate;G.R. Easley;H. Krim

  • On denoising and best signal representation

    H. Krim;D. Tucker;S. Mallat;D. Donoho

  • Image denoising: a nonlinear robust statistical approach

    A. Ben Hamza;H. Krim

  • A generalized divergence measure for robust image registration

    Yun He;A.B. Hamza;H. Krim

  • Image segmentation and edge enhancement with stabilized inverse diffusion equations

    I. Pollak;A.S. Willsky;H. Krim

  • Multiscale segmentation and anomaly enhancement of SAR imagery

    C.H. Fosgate;H. Krim;W.W. Irving;W.C. Karl

  • Operator approach to performance analysis of root-MUSIC and root-min-norm

    H. Krim;P. Forster;J.G. Proakis

  • A multiscale approach to pixel-level image fusion

    A. Ben Hamza;Yun He;Hamid Krim;Alan Willsky

  • Persistent Homology of Delay Embeddings and its Application to Wheeze Detection

    Saba Emrani;Thanos Gentimis;Hamid Krim

  • Object representation and recognition in shape spaces

    Jun Zhang;X. Zhang;Hamid Krim;Gilbert G. Walter

  • Geodesic Object Representation and Recognition

    A. Ben Hamza;Hamid Krim

  • Minimax description length for signal denoising and optimized representation

    H. Krim;I.C. Schick

  • Bayesian approach to best basis selection

    J.-C. Pesquet;H. Krim;D. Leporini;E. Hamman

  • On the Statistics of Best Bases Criteria

    H. Krim;J.-C. Pesquet

  • Unifying probabilistic and variational estimation

    A.B. Hamza;H. Krim;G.B. Unal

  • Multiresolution analysis of a class of nonstationary processes

    H. Krim;J.-C. Pesquet

  • Information-Theoretic Active Polygons for Unsupervised Texture Segmentation

    Gozde Unal;Anthony Yezzi;Hamid Krim

  • Hierarchical stochastic modeling of SAR imagery for segmentation/compression

    A. Kim;H. Krim

  • Two Decades of Array Signal Processing

    Mats Viberg;H. Krim

  • Geometric Methods in Signal and Image Analysis: Differential geometry of curves and surfaces

    Hamid Krim;Abdessamad Ben Hamza

  • Persistent Homology of Delay Embeddings

    Saba Emrani;Thanos Gentimis;Hamid Krim

Frequent Co-Authors

A. Ben Hamza
A. Ben Hamza Concordia University
Anthony Yezzi
Anthony Yezzi Georgia Institute of Technology
Jean-Christophe Pesquet
Jean-Christophe Pesquet CentraleSupélec
William Clement Karl
William Clement Karl Boston University
Mats Viberg
Mats Viberg Chalmers University of Technology
Zhi-Quan Luo
Zhi-Quan Luo Chinese University of Hong Kong, Shenzhen
Dana H. Brooks
Dana H. Brooks Northeastern University
Xipeng Shen
Xipeng Shen North Carolina State University
Ananthram Swami
Ananthram Swami United States Army Research Laboratory

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