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Computer Science

D-Index
37
Citations
4726
World Ranking
10909
National Ranking
344

Overview

Andrea Torsello is affiliated with Ca Foscari University of Venice in Italy. Their primary research output is concentrated in the field of computer science, with a total of 49 publications recorded.

Their subfields of study include:

  • Computer Vision and Pattern Recognition
  • Artificial Intelligence
  • Statistical and Nonlinear Physics
  • Oceanography
  • Media Technology

Key topics covered in their research are:

  • Advanced Graph Neural Networks
  • Domain Adaptation and Few-Shot Learning
  • Advanced Neural Network Applications
  • Advanced Image and Video Retrieval Techniques
  • Multimodal Machine Learning Applications
  • Graph Theory and Algorithms
  • Image Enhancement Techniques

Andrea Torsello has authored several recent papers including:

  • Deep Demosaicing for Polarimetric Filter Array Cameras, 2022, IEEE Transactions on Image Processing
  • Cylinders extraction in non-oriented point clouds as a clustering problem, 2020, Pattern Recognition
  • A Physics-Driven CNN Model for Real-Time Sea Waves 3D Reconstruction, 2021, Remote Sensing
  • Towards Exemplar-Free Continual Learning in Vision Transformers: an Account of Attention, Functional and Weight Regularization, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
  • Toward real-time optical estimation of ocean waves' space-time fields, 2020, Computers & Geosciences

Frequent coauthors in their research collaborations include:

  • Luca Rossi
  • Giorgia Minello
  • Luca Cosmo
  • Filippo Bergamasco
  • Francesco Pelosin

Their publications are often found in venues such as:

  • arXiv (Cornell University)
  • Pattern Recognition
  • IEEE Transactions on Image Processing
  • Remote Sensing
  • 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)

Andrea Torsello has contributed to book publications under Springer Science+Business Media, including the title Structural, Syntactic, and Statistical Pattern Recognition with editions in 2021 and 2022.

Best Publications

  • Graph-Based Representations in Pattern Recognition

    Andrea Torsello;Francisco Escolano;Luc Brun

  • Partial Functional Correspondence

    E. Rodolí;L. Cosmo;M. M. Bronstein;A. Torsello

  • RUNE-Tag: A high accuracy fiducial marker with strong occlusion resilience

    Filippo Bergamasco;Andrea Albarelli;Emanuele Rodola;Andrea Torsello

  • A Scale Independent Selection Process for 3D Object Recognition in Cluttered Scenes

    Emanuele Rodolà;Andrea Albarelli;Filippo Bergamasco;Andrea Torsello

  • Multiview registration via graph diffusion of dual quaternions

    Andrea Torsello;Emanuele Rodola;Andrea Albarelli

  • A Skeletal Measure of 2D Shape Similarity

    Andrea Torsello;Edwin R. Hancock

  • A quantum Jensen-Shannon graph kernel for unattributed graphs

    Lu Bai;Luca Rossi;Andrea Torsello;Edwin R. Hancock

  • Matching as a non-cooperative game

    Andrea Albarelli;Samuel Rota Bulo;Andrea Torsello;Marcello Pelillo

  • Computing approximate tree edit distance using relaxation labeling

    Andrea Torsello;Edwin R. Hancock

  • A game-theoretic approach to deformable shape matching

    Emanuele Rodola;Alex M. Bronstein;Andrea Albarelli;Filippo Bergamasco

  • Polynomial-time metrics for attributed trees

    A. Torsello;D. Hidovic-Rowe;M. Pelillo

  • Grouping with Asymmetric Affinities: A Game-Theoretic Perspective

    A. Torsello;S.R. Bulo;M. Pelillo

  • Learning shape-classes using a mixture of tree-unions

    A. Torsello;E.R. Hancock

  • An Accurate and Robust Artificial Marker Based on Cyclic Codes

    Filippo Bergamasco;Andrea Albarelli;Luca Cosmo;Emanuele Rodola

  • Robust Camera Calibration using Inaccurate Targets

    Andrea Albarelli;Emanuele Rodolà;Andrea Torsello

  • Pi-Tag: a fast image-space marker design based on projective invariants

    Filippo Bergamasco;Andrea Albarelli;Andrea Torsello

  • WASS: An open-source pipeline for 3D stereo reconstruction of ocean waves

    Filippo Bergamasco;Andrea Torsello;Mauro Sclavo;Francesco Barbariol

  • Imposing Semi-Local Geometric Constraints for Accurate Correspondences Selection in Structure from Motion: A Game-Theoretic Perspective

    Andrea Albarelli;Emanuele Rodolà;Andrea Torsello

  • Editorial: Similarity-based pattern recognition

    Manuele Bicego;Vittorio Murino;Marcello Pelillo;Andrea Torsello

  • Making use of available and emerging data to predict the hazards of engineered nanomaterials by means of in silico tools: A critical review

    G. Basei;D. Hristozov;L. Lamon;A. Zabeo

  • Beyond partitions: Allowing overlapping groups in pairwise clustering

    A. Torsello;S.R. Bulo;M. Pelillo

Frequent Co-Authors

Edwin R. Hancock
Edwin R. Hancock University of York
Emanuele Rodolà
Emanuele Rodolà Sapienza University of Rome
Marcello Pelillo
Marcello Pelillo Ca Foscari University of Venice
Michael M. Bronstein
Michael M. Bronstein University of Oxford
Richard C. Wilson
Richard C. Wilson University of York
Daniel Cremers
Daniel Cremers Technical University of Munich
Samuel Rota Bulò
Samuel Rota Bulò Facebook (United States)
Alexander M. Bronstein
Alexander M. Bronstein Technion – Israel Institute of Technology
Sandro Carniel
Sandro Carniel National Academies of Sciences, Engineering, and Medicine
Bin Luo
Bin Luo Anhui University

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