World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
41
Citations
12925
World Ranking
8608
National Ranking
3689

Overview

Radek Grzeszczuk is affiliated with Microsoft in the United States, where they conduct research primarily in the fields of Computer Science and Environmental Science. Their work spans several subfields including Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design, and Environmental Engineering.

Their publications focus on topics such as Advanced Vision and Imaging, Computer Graphics and Visualization Techniques, Optical Measurement and Interference Techniques, and Remote Sensing and LiDAR Applications.

Radek Grzeszczuk has contributed to research published in leading venues including Electronic Imaging. One of their recent papers is titled "Sky Segmentation for Enhanced Depth Reconstruction and Bokeh Rendering with Efficient Architectures", published in 2020 in Electronic Imaging.

  • Steven J. Gortler
  • Richard Szeliski
  • Michael F. Cohen
  • Tyler Nuanes
  • Matt Elsey

Their frequent co-authors include Steven J. Gortler, Richard Szeliski, Michael F. Cohen, Tyler Nuanes, and Matt Elsey, reflecting collaboration across multiple aspects of computer vision and graphics research.

Best Publications

  • The lumigraph

    Steven J. Gortler;Radek Grzeszczuk;Richard Szeliski;Michael F. Cohen

  • Robust text detection in natural images with edge-enhanced Maximally Stable Extremal Regions

    Huizhong Chen;Sam S. Tsai;Georg Schroth;David M. Chen

  • System and method for gesture recognition in three dimensions using stereo imaging and color vision

    Radek Grzeszczuk;Gary R. Bradski;Michael H. Chu;Jean-Yves Bouget

  • Compressed Histogram of Gradients: A Low-Bitrate Descriptor

    Vijay Chandrasekhar;Gabriel Takacs;David M. Chen;Sam S. Tsai

  • City-scale landmark identification on mobile devices

    David M. Chen;Georges Baatz;Kevin Koser;Sam S. Tsai

  • Determining a vantage point of an image

    Michael F. Cohen;Radek Grzeszczuk

  • Artificial fishes: Autonomous locomotion, perception, behavior, and learning in a simulated physical world

    Demetri Terzopoulos;Xiaoyuan Tu;Radek Grzeszczuk

  • Outdoors augmented reality on mobile phone using loxel-based visual feature organization

    Gabriel Takacs;Vijay Chandrasekhar;Natasha Gelfand;Yingen Xiong

  • Method, Device, Mobile Terminal, and Computer Program Product for a Point of Interest Based Scheme for Improving Mobile Visual Searching Functionalities

    Natasha Gelfand;Ramakrishna Vedantham;C. Philipp Schloter;Radek Grzeszczuk

  • Mobile Visual Search

    B Girod;V Chandrasekhar;D M Chen;Ngai-Man Cheung

  • NeuroAnimator: fast neural network emulation and control of physics-based models

    Radek Grzeszczuk;Demetri Terzopoulos;Geoffrey Hinton

  • Light field mapping: efficient representation and hardware rendering of surface light fields

    Wei-Chao Chen;Jean-Yves Bouguet;Michael H. Chu;Radek Grzeszczuk

  • CHoG: Compressed histogram of gradients A low bit-rate feature descriptor

    Vijay Chandrasekhar;Gabriel Takacs;David Chen;Sam Tsai

  • Automated learning of muscle-actuated locomotion through control abstraction

    Radek Grzeszczuk;Demetri Terzopoulos

  • Unified Real-Time Tracking and Recognition with Rotation-Invariant Fast Features

    Gabriel Takacs;Vijay Chandrasekhar;Sam Tsai;David Chen

  • The stanford mobile visual search data set

    Vijay R. Chandrasekhar;David M. Chen;Sam S. Tsai;Ngai-Man Cheung

  • Landmark-based pedestrian navigation from collections of geotagged photos

    Harlan Hile;Ramakrishna Vedantham;Gregory Cuellar;Alan Liu

  • A data-driven model for monocular face tracking

    S.B. Gokturk;J.-Y. Bouguet;R. Grzeszczuk

  • Handling urban location recognition as a 2D homothetic problem

    Georges Baatz;Kevin Köser;David Chen;Radek Grzeszczuk

  • Method, apparatus and computer program product for performing a visual search using grid-based feature organization

    Matthias Jacob;Wei-Chao Chen;Jiang Gao;Natasha Gelfand

  • Fast Neural Network Emulation and Control of Physics-Based Models

    Radek Grzeszczuk;Demetri Terzopoulos;Geoffrey Hinton

Frequent Co-Authors

Bernd Girod
Bernd Girod Stanford University
Vijay Chandrasekhar
Vijay Chandrasekhar Agency for Science, Technology and Research
Demetri Terzopoulos
Demetri Terzopoulos University of California, Los Angeles
Ngai-Man Cheung
Ngai-Man Cheung Singapore University of Technology and Design
Geoffrey E. Hinton
Geoffrey E. Hinton University of Toronto
Michael F. Cohen
Michael F. Cohen Facebook (United States)
Jana Kosecka
Jana Kosecka George Mason University
Gaetano Borriello
Gaetano Borriello University of Washington
Marc Pollefeys
Marc Pollefeys ETH Zurich

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