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Computer Science

D-Index
47
Citations
6994
World Ranking
6608
National Ranking
2918

Overview

Daniele Panozzo is affiliated with New York University in the United States. Their research primarily spans the fields of Engineering and Computer Science, with a strong focus on areas related to computational mechanics and computer graphics.

Their work explores several specialized subfields of study, including:

  • Computational Mechanics
  • Computer Graphics and Computer-Aided Design
  • Computer Vision and Pattern Recognition
  • Mechanics of Materials
  • Computational Theory and Mathematics

Core topics of Daniele Panozzo's research include:

  • Computational Geometry and Mesh Generation
  • 3D Shape Modeling and Analysis
  • Computer Graphics and Visualization Techniques
  • Advanced Numerical Analysis Techniques
  • Adhesion, Friction, and Surface Interactions
  • Dynamics and Control of Mechanical Systems
  • Contact Mechanics and Variational Inequalities

Several papers authored or co-authored by Daniele Panozzo have contributed to these areas. Selected recent publications include:

  • Incremental Potential Contact, 2020, ACM Transactions on Graphics
  • Intersection-free Rigid Body Dynamics, 2021, ACM Transactions on Graphics
  • Rear Traction Forces Drive Adherent Tissue Migration in Vivo, 2022, Nature Cell Biology
  • Orienting Point Clouds with Dipole Propagation, 2021, ACM Transactions on Graphics
  • A Large-Scale Comparison of Tetrahedral and Hexahedral Elements for Solving Elliptic PDEs with the Finite Element Method, 2022, ACM Transactions on Graphics

Their frequent co-authors include:

  • Teseo Schneider
  • Denis Zorin
  • Zachary Ferguson
  • Zizhou Huang
  • Marco Attene

Daniele Panozzo's research has been published repeatedly in the following venues:

  • ACM Transactions on Graphics
  • arXiv (Cornell University)
  • Computer Methods and Programs in Biomedicine
  • Computer Graphics Forum
  • bioRxiv (Cold Spring Harbor Laboratory)

Best Publications

  • ABC: A Big CAD Model Dataset for Geometric Deep Learning

    Sebastian Koch;Albert Matveev;Zhongshi Jiang;Francis Williams

  • Instant field-aligned meshes

    Wenzel Jakob;Marco Tarini;Daniele Panozzo;Olga Sorkine-Hornung

  • Incremental potential contact: intersection-and inversion-free, large-deformation dynamics

    Minchen Li;Zachary Ferguson;Teseo Schneider;Timothy Langlois

  • Tetrahedral meshing in the wild

    Yixin Hu;Qingnan Zhou;Xifeng Gao;Alec Jacobson

  • libigl: prototyping geometry processing research in C++

    Alec Jacobson;Daniele Panozzo

  • NewsStand: a new view on news

    Benjamin E. Teitler;Michael D. Lieberman;Daniele Panozzo;Jagan Sankaranarayanan

  • Deep Geometric Prior for Surface Reconstruction

    Francis Williams;Teseo Schneider;Claudio Silva;Denis Zorin

  • Directional field synthesis, design, and processing

    Amir Vaxman;Marcel Campen;Olga Diamanti;Daniele Panozzo

  • Interactive hand pose estimation using a stretch-sensing soft glove

    Oliver Glauser;Shihao Wu;Daniele Panozzo;Otmar Hilliges

  • Practical quad mesh simplification

    Marco Tarini;Nico Pietroni;Paolo Cignoni;Daniele Panozzo

  • Scalable Locally Injective Mappings

    Michael Rabinovich;Roi Poranne;Daniele Panozzo;Olga Sorkine-Hornung

  • Confocal reference free traction force microscopy.

    Martin Bergert;Tobias Lendenmann;Manuel Zündel;Alexander E. Ehret;Alexander E. Ehret

  • Locally injective mappings

    Christian Schüller;Ladislav Kavan;Daniele Panozzo;Olga Sorkine-Hornung

  • Robust Image Retargeting via Axis-Aligned Deformation

    Daniele Panozzo;Ofir Weber;Olga Sorkine

  • Fast tetrahedral meshing in the wild

    Yixin Hu;Teseo Schneider;Bolun Wang;Denis Zorin

  • Position-based tensegrity design

    Nico Pietroni;Marco Tarini;Amir Vaxman;Daniele Panozzo

  • Designing unreinforced masonry models

    Daniele Panozzo;Philippe Block;Olga Sorkine-Hornung

  • Object detection and classification from large-scale cluttered indoor scans

    Oliver Mattausch;Daniele Panozzo;Claudio Mura;Olga Sorkine-Hornung

  • Simple quad domains for field aligned mesh parametrization

    Marco Tarini;Enrico Puppo;Daniele Panozzo;Nico Pietroni

  • Assembling self-supporting structures

    Mario Deuss;Daniele Panozzo;Emily Whiting;Yang Liu

  • Designing N-PolyVector Fields with Complex Polynomials

    Olga Diamanti;Amir Vaxman;Daniele Panozzo;Olga Sorkine-Hornung

Frequent Co-Authors

Denis Zorin
Denis Zorin New York University
Marc Alexa
Marc Alexa Technical University of Berlin
Enrico Puppo
Enrico Puppo University of Genoa
Otmar Hilliges
Otmar Hilliges ETH Zurich
Alec Jacobson
Alec Jacobson University of Toronto
Joan Bruna
Joan Bruna New York University
Cláudio T. Silva
Cláudio T. Silva New York University
Paolo Cignoni
Paolo Cignoni National Research Council (CNR)
Hanan Samet
Hanan Samet University of Maryland, College Park
Leila De Floriani
Leila De Floriani University of Maryland, College Park

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