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Engineering and Technology

D-Index
37
Citations
18142
World Ranking
8220
National Ranking
2257

Overview

Michael Kazhdan is affiliated with Johns Hopkins University in the United States. Their research work spans domains within computer science and engineering, with a particular focus on computer vision and pattern recognition as well as computational mechanics and computer graphics.

The scientist's main fields of study include:

  • Computer Science
  • Engineering

Subfields of their research cover:

  • Computer Vision and Pattern Recognition
  • Computational Mechanics
  • Computer Graphics and Computer-Aided Design
  • Artificial Intelligence
  • Oncology

Key topics addressed in their work are:

  • 3D Shape Modeling and Analysis
  • Computational Geometry and Mesh Generation
  • Advanced Image and Video Retrieval Techniques
  • Human Pose and Action Recognition
  • AI in cancer detection
  • Image Retrieval and Classification Techniques
  • Image Processing and 3D Reconstruction

Michael Kazhdan has contributed to various notable publication venues, including:

  • arXiv (Cornell University)
  • ACM Transactions on Graphics
  • HAL (Le Centre pour la Communication Scientifique Directe)
  • Computer Graphics Forum
  • Lecture Notes in Computer Science

Their recent research outputs include:

  • "Variational quadratic shape functions for polygons and polyhedra," 2022, ACM Transactions on Graphics
  • "Volumetric Video - Acquisition, Compression, Interaction and Perception," 2021, HAL (Le Centre pour la Communication Scientifique Directe)
  • "ECHO: Extended Convolution Histogram of Orientations for Local Surface Description," 2020, Computer Graphics Forum
  • "Field Convolutions for Surface CNNs," 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • "Efficient Spatially Adaptive Convolution and Correlation," 2020, arXiv (Cornell University)

Frequent collaborators have included:

  • Thomas W. Mitchel
  • Szymon Rusinkiewicz
  • Vladimir G. Kim
  • Noam Aigerman
  • A. Bunge

Best Publications

  • Poisson surface reconstruction

    Michael Kazhdan;Matthew Bolitho;Hugues Hoppe

  • Screened poisson surface reconstruction

    Michael Kazhdan;Hugues Hoppe

  • The Princeton Shape Benchmark

    P. Shilane;P. Min;M. Kazhdan;T. Funkhouser

  • Rotation invariant spherical harmonic representation of 3D shape descriptors

    Michael Kazhdan;Thomas Funkhouser;Szymon Rusinkiewicz

  • A search engine for 3D models

    Thomas Funkhouser;Patrick Min;Michael Kazhdan;Joyce Chen

  • A Complete Electron Microscopy Volume of the Brain of Adult Drosophila melanogaster.

    Zhihao Zheng;J. Scott Lauritzen;Eric Perlman;Camenzind G. Robinson

  • Modeling by example

    Thomas Funkhouser;Michael Kazhdan;Philip Shilane;Patrick Min

  • A Reflective Symmetry Descriptor for 3D Models

    Michael Kazhdan;Bernard Chazelle;David Dobkin;Thomas Funkhouser

  • Data-Driven Approach to Generating Achievable Dose–Volume Histogram Objectives in Intensity-Modulated Radiotherapy Planning

    Binbin Wu;Francesco Ricchetti;Giuseppe Sanguineti;Michael Kazhdan

  • Reconstruction of solid models from oriented point sets

    Michael Kazhdan

  • Symmetry descriptors and 3D shape matching

    Michael Kazhdan;Thomas Funkhouser;Szymon Rusinkiewicz

  • The Princeton Shape Benchmark (Figures 1 and 2)

    P. Shilane;P. Min;M. Kazhdan;T. Funkhouser

  • A Reflective Symmetry Descriptor

    Michael M. Kazhdan;Bernard Chazelle;David P. Dobkin;Adam Finkelstein

  • Shape-based retrieval and analysis of 3d models

    Thomas Funkhouser;Michael Kazhdan;Patrick Min;Philip Shilane

  • Shape-based retrieval and analysis of 3D models

    Thomas Funkhouser;Michael Kazhdan

  • Streaming multigrid for gradient-domain operations on large images

    Michael Kazhdan;Hugues Hoppe

  • Non-photorealistic virtual environments

    Allison W. Klein;Wilmot Li;Michael M. Kazhdan;Wagner T. Corrêa

  • Shape matching and anisotropy

    Michael Kazhdan;Thomas Funkhouser;Szymon Rusinkiewicz

  • Unconstrained isosurface extraction on arbitrary octrees

    Michael Kazhdan;Allison Klein;Ketan Dalal;Hugues Hoppe

  • Increased organ sparing using shape-based treatment plan optimization for intensity modulated radiation therapy of pancreatic adenocarcinoma.

    Steven F. Petit;Binbin Wu;Michael Kazhdan;André Dekker

  • Multilevel streaming for out-of-core surface reconstruction

    Matthew Bolitho;Michael Kazhdan;Randal Burns;Hugues Hoppe

  • Proceedings of the Symposium on Geometry Processing

    Konrad Polthier;Marc Alexa;Michael Kazhdan

Frequent Co-Authors

Russell H. Taylor
Russell H. Taylor Johns Hopkins University
Thomas Funkhouser
Thomas Funkhouser Google (United States)
Randal Burns
Randal Burns Johns Hopkins University
Hugues Hoppe
Hugues Hoppe Google (United States)
Szymon Rusinkiewicz
Szymon Rusinkiewicz Princeton University
Joshua T. Vogelstein
Joshua T. Vogelstein Johns Hopkins University
Jeff W. Lichtman
Jeff W. Lichtman Harvard University
David P. Dobkin
David P. Dobkin Princeton University
Karl Deisseroth
Karl Deisseroth Stanford University
Alexander S. Szalay
Alexander S. Szalay Johns Hopkins University

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