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D-Index & Metrics

Computer Science

D-Index
60
Citations
13326
World Ranking
3260
National Ranking
1581

Overview

Matthias Zwicker is affiliated with the University of Maryland, College Park in the United States. Their research spans multiple fields within computer science and engineering, with a strong focus on computer vision, computer graphics, and computational mechanics.

The scientist has made contributions across several subfields of study, including:

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

Zwicker's work covers a range of main topics, most notably:

  • 3D Shape Modeling and Analysis
  • Advanced Vision and Imaging
  • Computer Graphics and Visualization Techniques
  • 3D Surveying and Cultural Heritage
  • Image Processing and 3D Reconstruction
  • Human Pose and Action Recognition
  • Medical Image Segmentation Techniques

They have published extensively, with research appearing in frequent venues such as:

  • arXiv (Cornell University)
  • ACM Transactions on Graphics
  • 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • IEEE Transactions on Visualization and Computer Graphics
  • 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Some recent representative publications include:

  • Surface Reconstruction from Point Clouds by Learning Predictive Context Priors, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • Reconstructing 3D Shapes From Multiple Sketches Using Direct Shape Optimization, 2020, IEEE Transactions on Image Processing
  • Neural-Pull: Learning Signed Distance Functions from Point Clouds by Learning to Pull Space onto Surfaces, 2020, arXiv (Cornell University)
  • Neural radiosity, 2021, ACM Transactions on Graphics
  • LRC-Net: Learning discriminative features on point clouds by encoding local region contexts, 2020, Computer Aided Geometric Design

Zwicker collaborates frequently with several researchers, including:

  • Yu-Shen Liu
  • Zhizhong Han
  • Saeed Hadadan
  • Shuhong Chen
  • Geng Lin

Their research expertise integrates advanced methods in 3D reconstruction, point cloud processing, shape optimization, and neural rendering. This combination bridges applied mathematics, computer graphics, and machine learning techniques tailored for visual computing challenges.

Best Publications

  • Surfels: surface elements as rendering primitives

    Hanspeter Pfister;Matthias Zwicker;Jeroen van Baar;Markus Gross

  • Surface splatting

    Matthias Zwicker;Hanspeter Pfister;Jeroen van Baar;Markus Gross

  • Pointshop 3D: an interactive system for point-based surface editing

    Matthias Zwicker;Mark Pauly;Oliver Knoll;Markus Gross

  • Mesh-based inverse kinematics

    Robert W. Sumner;Matthias Zwicker;Craig Gotsman;Jovan Popović

  • Point2Sequence: Learning the Shape Representation of 3D Point Clouds with an Attention-based Sequence to Sequence Network

    Xinhai Liu;Zhizhong Han;Yu-Shen Liu;Matthias Zwicker

  • EWA splatting

    M. Zwicker;H. Pfister;J. van Baar;M. Gross

  • Object Space EWA Surface Splatting: A Hardware Accelerated Approach to High Quality Point Rendering

    Liu Ren;Hanspeter Pfister;Matthias Zwicker

  • High-quality surface splatting on today's GPUs

    Mario Botsch;Alexander Hornung;Matthias Zwicker;Leif Kobbelt

  • SeqViews2SeqLabels: Learning 3D Global Features via Aggregating Sequential Views by RNN With Attention

    Zhizhong Han;Mingyang Shang;Zhenbao Liu;Chi-Man Vong

  • Method and system for acquiring and displaying 3D light fields

    Wojciech Matusik;Hanspeter Pfister;Matthias Zwicker;Fredo Durand

  • SDFDiff: Differentiable Rendering of Signed Distance Fields for 3D Shape Optimization

    Yue Jiang;Dantong Ji;Zhizhong Han;Matthias Zwicker

  • Antialiasing for automultiscopic 3D displays

    Matthias Zwicker;Wojciech Matusik;Frédo Durand;Hanspeter Pfister

  • A Survey of Procedural Noise Functions

    Ares Lagae;Sylvain Lefebvre;Robert L. Cook;Tony DeRose

  • Method and System for Acquiring, Encoding, Decoding and Displaying 3D Light Fields

    Anthony Vetro;Sehoon Yea;Wojciech Matusik;Hanspeter Pfister

  • Multidimensional adaptive sampling and reconstruction for ray tracing

    Toshiya Hachisuka;Wojciech Jarosz;Richard Peter Weistroffer;Kevin Dale

  • Recent Advances in Adaptive Sampling and Reconstruction for Monte Carlo Rendering

    M. Zwicker;W. Jarosz;J. Lehtinen;B. Moon

  • 3D2SeqViews: Aggregating Sequential Views for 3D Global Feature Learning by CNN With Hierarchical Attention Aggregation

    Zhizhong Han;Honglei Lu;Zhenbao Liu;Chi-Man Vong

  • Dual-domain image denoising

    Claude Knaus;Matthias Zwicker

  • EWA volume splatting

    Matthias Zwicker;Hanspeter Pfister;Jeroen van Baar;Markus Gross

  • Faceshop: deep sketch-based face image editing

    Tiziano Portenier;Qiyang Hu;Attila Szabó;Siavash Arjomand Bigdeli

  • Perspective accurate splatting

    Matthias Zwicker;Jussi Räsänen;Mario Botsch;Carsten Dachsbacher

Frequent Co-Authors

Zhizhong Han
Zhizhong Han Wayne State University
Hanspeter Pfister
Hanspeter Pfister Harvard University
Markus Gross
Markus Gross ETH Zurich
Paolo Favaro
Paolo Favaro University of Bern
Wojciech Jarosz
Wojciech Jarosz Dartmouth College
Anthony Vetro
Anthony Vetro Mitsubishi Electric (United States)
Henrik Wann Jensen
Henrik Wann Jensen University of California, San Diego
Jaakko Lehtinen
Jaakko Lehtinen Aalto University

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