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Gabriela Csurka

Gabriela Csurka

D-Index & Metrics

Computer Science

D-Index
47
Citations
16515
World Ranking
6308
National Ranking
134

Overview

Gabriela Csurka is affiliated with Naver Labs in France and has produced a substantial body of research primarily in the field of Computer Science. Their work spans several subfields, including Computer Vision and Pattern Recognition, Artificial Intelligence, Aerospace Engineering, Radiology, Nuclear Medicine and Imaging, and Geology.

Their recent publications include the following papers:

  • Deep Visual Geo-localization Benchmark, 2022, published in the 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • Semantic Image Segmentation: Two Decades of Research, 2022, published in Foundations and Trends® in Computer Graphics and Vision
  • Investigating the Role of Image Retrieval for Visual Localization, 2022, published in the International Journal of Computer Vision
  • ARTEMIS: Attention-based Retrieval with Text-Explicit Matching and Implicit Similarity, 2022, published on arXiv (Cornell University)
  • Unsupervised Domain Adaptation for Semantic Image Segmentation: a Comprehensive Survey, 2021, published on arXiv (Cornell University)

Gabriela Csurka's work frequently appears in a range of publication venues, with a significant number of contributions to arXiv (Cornell University), as well as the 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Foundations and Trends® in Computer Graphics and Vision, International Journal of Computer Vision, and Synthesis Lectures on Computer Vision.

Gabriela Csurka has collaborated extensively with a number of co-authors, including:

  • Timothy M. Hospedales
  • Mathieu Salzmann
  • Tatiana Tommasi
  • Diane Larlus
  • Riccardo Volpi

Research topics covered by Gabriela Csurka encompass a range of areas such as:

  • Multimodal Machine Learning Applications
  • Domain Adaptation and Few-Shot Learning
  • Advanced Image and Video Retrieval Techniques
  • Robotics and Sensor-Based Localization
  • COVID-19 diagnosis using AI
  • Advanced Vision and Imaging
  • Machine Learning and Data Classification

In addition to journal and conference papers, Gabriela Csurka has authored a book titled Visual Domain Adaptation in the Deep Learning Era, published by Morgan & Claypool Publishers in 2022.

Best Publications

  • Visual categorization with bags of keypoints

    G. Csurka

  • What is a good evaluation measure for semantic segmentation

    Gabriela Csurka;Diane Larlus;Florent Perronnin

  • Distance-Based Image Classification: Generalizing to New Classes at Near-Zero Cost

    T. Mensink;J. Verbeek;F. Perronnin;G. Csurka

  • Assessing the aesthetic quality of photographs using generic image descriptors

    Luca Marchesotti;Florent Perronnin;Diane Larlus;Gabriela Csurka

  • Domain Adaptation for Visual Applications: A Comprehensive Survey

    Gabriela Csurka

  • R2D2: Repeatable and Reliable Detector and Descriptor.

    Jérôme Revaud;Philippe Weinzaepfel;César Roberto de Souza;Noé Pion

  • A Comprehensive Survey on Domain Adaptation for Visual Applications

    Gabriela Csurka

  • A framework for visual saliency detection with applications to image thumbnailing

    Luca Marchesotti;Claudio Cifarelli;Gabriela Csurka

  • Metric learning for large scale image classification: generalizing to new classes at near-zero cost

    Thomas Mensink;Jakob Verbeek;Florent Perronnin;Gabriela Csurka

  • Domain adaptation in computer vision applications

    Gabriela Csurka

  • Adapted Vocabularies for Generic Visual Categorization

    Florent Perronnin;Christopher Dance;Gabriela Csurka;Marco Bressan

  • 3-D Reconstruction of Urban Scenes from Image Sequences

    Olivier Faugeras;Luc Robert;Stéphane Laveau;Gabriella Csurka

  • Template based recovery of Fourier-based watermarks using log-polar and log-log maps

    S. Pereira;J.J.K.O. Ruanaidh;F. Deguillaume;G. Csurka

  • CLASSEMENT D'IMAGES FONDE SUR DES CONCEPTS ABSTRAITS

    Skaff Sandra;Marchesotti Luca;Csurka Gabriela

  • Robust 3D DFT Video Watermarking

    Frédéric Deguillaume;Gabriela Otilia Csurka;Joséph John O'Ruanaidh;Thierry Pun

  • Characterizing the uncertainty of the fundamental matrix

    Gabriella Csurka;Cyril Zeller;Zhengyou Zhang;Olivier D. Faugeras

  • Framework for image thumbnailing based on visual similarity

    Luca Marchesotti;Claudio Cifarelli;Gabriela Csurka

  • Fine-Grained Action Retrieval Through Multiple Parts-of-Speech Embeddings

    Michael Wray;Gabriela Csurka;Diane Larlus;Dima Damen

  • A comparison of projective reconstruction methods for pairs of views

    C. Rothwell;G. Csurka;O. Faugeras

  • An Efficient Approach to Semantic Segmentation

    Gabriela Csurka;Florent Perronnin

  • Deep Visual Domain Adaptation

    Gabriela Csurka

  • Fine-Grained Action Retrieval Through Multiple Parts-of-Speech Embeddings

    Michael Wray;Diane Larlus;Gabriela Csurka;Dima Damen

Frequent Co-Authors

Jakob Verbeek
Jakob Verbeek Facebook AI Research (FAIR) in Paris
Thierry Pun
Thierry Pun University of Geneva
Liming Chen
Liming Chen École Centrale de Lyon
Robert S. Laramee
Robert S. Laramee University of Nottingham
Julian McAuley
Julian McAuley University of California, San Diego
Jorma Laaksonen
Jorma Laaksonen Aalto University
Sabine Süsstrunk
Sabine Süsstrunk École Polytechnique Fédérale de Lausanne
John Shawe-Taylor
John Shawe-Taylor University College London
Peter Auer
Peter Auer University of Leoben

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