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D-Index & Metrics

Computer Science

D-Index
74
Citations
18810
World Ranking
1518
National Ranking
30

Research.com Recognitions

  • 2018 - IEEE Fellow For contributions to three-dimensional geometric processing in imaging

Overview

Alexander M. Bronstein is affiliated with the Technion - Israel Institute of Technology in Israel. Their research primarily lies within the field of Computer Science, with a focus on the subfields of Computer Vision and Pattern Recognition as well as Artificial Intelligence.

Their body of work includes topics such as:

  • Anomaly Detection Techniques and Applications
  • Image and Signal Denoising Methods
  • Advanced Image and Video Retrieval Techniques
  • Multimodal Machine Learning Applications
  • Advanced Neural Network Applications
  • Neural Networks and Applications
  • Domain Adaptation and Few-Shot Learning

Recent publications authored or co-authored by Bronstein include:

  • "NICE: Noise Injection and Clamping Estimation for Neural Network Quantization", 2021, published in Mathematics
  • "NICE: Noise Injection and Clamping Estimation for Neural Network Quantization", 2021, published in MDPI (MDPI AG)
  • "Intra-class low-rank regularization for supervised and semi-supervised cross-modal retrieval", 2021, published in Applied Intelligence
  • "Deep fused two-step cross-modal hashing with multiple semantic supervision", 2022, published in Multimedia Tools and Applications

Frequent publication venues for Bronstein's work include:

  • Mathematics
  • MDPI (MDPI AG)
  • Applied Intelligence
  • Multimedia Tools and Applications

Bronstein has collaborated repeatedly with several co-authors, including:

  • Chaim Baskin
  • Natan Liss
  • Yoav Chai
  • Eli Schwartz
  • Raja Giryes

In recognition of their contributions, Bronstein received the IEEE Fellow award in 2018 for work in three-dimensional geometric processing in imaging.

Best Publications

  • Numerical geometry of non-rigid shapes

    Alexander Bronstein;Michael Bronstein;Ron Kimmel

  • Shape google: Geometric words and expressions for invariant shape retrieval

    Alexander M. Bronstein;Michael M. Bronstein;Leonidas J. Guibas;Maks Ovsjanikov

  • Three-Dimensional Face Recognition

    Alexander M. Bronstein;Michael M. Bronstein;Ron Kimmel

  • LDAHash: Improved Matching with Smaller Descriptors

    C. Strecha;A. M. Bronstein;M. M. Bronstein;P. Fua

  • Generalized multidimensional scaling: A framework for isometry-invariant partial surface matching

    Alexander M. Bronstein;Michael M. Bronstein;Ron Kimmel

  • Data fusion through cross-modality metric learning using similarity-sensitive hashing

    Michael M. Bronstein;Alexander M. Bronstein;Fabrice Michel;Nikos Paragios

  • Expression-invariant 3D face recognition

    Alexander M. Bronstein;Michael M. Bronstein;Ron Kimmel

  • RepMet: Representative-Based Metric Learning for Classification and Few-Shot Object Detection

    Leonid Karlinsky;Joseph Shtok;Sivan Harary;Eli Schwartz

  • A Gromov-Hausdorff Framework with Diffusion Geometry for Topologically-Robust Non-rigid Shape Matching

    Alexander M. Bronstein;Michael M. Bronstein;Ron Kimmel;Mona Mahmoudi

  • Efficient Computation of Isometry-Invariant Distances Between Surfaces

    Alexander M. Bronstein;Michael M. Bronstein;Ron Kimmel

  • Deep Functional Maps: Structured Prediction for Dense Shape Correspondence

    Or Litany;Tal Remez;Emanuele Rodola;Alex Bronstein

  • Deformable Shape Completion with Graph Convolutional Autoencoders

    Or Litany;Alex Bronstein;Michael Bronstein;Ameesh Makadia

  • DeepISP: Toward Learning an End-to-End Image Processing Pipeline

    Eli Schwartz;Raja Giryes;Alex M. Bronstein

  • Methods and systems for representation and matching of video content

    Alexander Bronstein;Michael Bronstein;Shlomo Selim Rakib

  • Deep Neural Networks with Random Gaussian Weights: A Universal Classification Strategy?

    Raja Giryes;Guillermo Sapiro;Alex M. Bronstein

  • Multimodal Similarity-Preserving Hashing

    Jonathan Masci;Michael M. Bronstein;Alexander M. Bronstein;Jürgen Schmidhuber

  • Expression-Invariant Representations of Faces

    A.M. Bronstein;M.M. Bronstein;R. Kimmel

  • Learning Spectral Descriptors for Deformable Shape Correspondence

    R. Litman;A. M. Bronstein

  • Systems and methods for remote control of interactive video

    Shlomo Selim Rakib;Alexander Bronstein;Michael Bronstein;Gilles Bruno Marie Devictor

  • Learning Efficient Sparse and Low Rank Models

    P. Sprechmann;A. M. Bronstein;G. Sapiro

  • Delta-encoder: an effective sample synthesis method for few-shot object recognition

    Eli Schwartz;Leonid Karlinsky;Joseph Shtok;Sivan Harary

  • Expression-invariant 3D face recognition

    Michael Bronstein

Frequent Co-Authors

Michael M. Bronstein
Michael M. Bronstein University of Oxford
Ron Kimmel
Ron Kimmel Technion – Israel Institute of Technology
Michael Zibulevsky
Michael Zibulevsky Technion – Israel Institute of Technology
Guillermo Sapiro
Guillermo Sapiro Princeton University
Raja Giryes
Raja Giryes Tel Aviv University
Emanuele Rodolà
Emanuele Rodolà Sapienza University of Rome
Yehoshua Y. Zeevi
Yehoshua Y. Zeevi Technion – Israel Institute of Technology
Umberto Castellani
Umberto Castellani University of Verona
Maks Ovsjanikov
Maks Ovsjanikov École Polytechnique
Rogerio Feris
Rogerio Feris IBM (United States)

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