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Computer Science

D-Index
52
Citations
11775
World Ranking
5049
National Ranking
106

Overview

Paolo Favaro is affiliated with the University of Bern in Switzerland and has concentrated their research primarily in the field of Computer Science. Their work spans several subfields, including Computer Vision and Pattern Recognition, Artificial Intelligence, Biophysics, Cognitive Neuroscience, and Physiology.

Their publication record includes a notable presence in venues such as:

  • arXiv (Cornell University)
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • Lecture notes in computer science
  • Zenodo (CERN European Organization for Nuclear Research)
  • 2021 IEEE/CVF International Conference on Computer Vision (ICCV)

Favaro's research topics cover a range of advanced and specialized areas, including:

  • Advanced Vision and Imaging
  • Domain Adaptation and Few-Shot Learning
  • Generative Adversarial Networks and Image Synthesis
  • Human Pose and Action Recognition
  • Obstructive Sleep Apnea Research
  • Advanced Fluorescence Microscopy Techniques
  • EEG and Brain-Computer Interfaces

Their recent papers illustrate a focus on machine learning applications to imaging and sleep research, including:

  • DeepSleepNet-Lite: A Simplified Automatic Sleep Stage Scoring Model with Uncertainty Estimates, 2021, arXiv (Cornell University)
  • ISD: Self-Supervised Learning by Iterative Similarity Distillation, 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • Learning to Reconstruct Confocal Microscopy Stacks From Single Light Field Images, 2021, IEEE Transactions on Computational Imaging
  • U-Sleep's resilience to AASM guidelines, 2023, npj Digital Medicine
  • Semi-supervised Vision Transformers at Scale, 2022, arXiv (Cornell University)

Favaro has collaborated frequently with a number of researchers. Frequent coauthors include:

  • Aram Davtyan
  • Sepehr Sameni
  • Josué Page Vizcaíno
  • Abdelhak Lemkhenter
  • Luigi Fiorillo

Best Publications

  • Unsupervised Learning of Visual Representations by Solving Jigsaw Puzzles

    Mehdi Noroozi;Paolo Favaro

  • Low rank subspace clustering (LRSC)

    René Vidal;Paolo Favaro

  • Structure from motion causally integrated over time

    A. Chiuso;P. Favaro;Hailin Jin;S. Soatto

  • The Light Field Camera: Extended Depth of Field, Aliasing, and Superresolution

    T. E. Bishop;P. Favaro

  • A geometric approach to shape from defocus

    P. Favaro;S. Soatto

  • Representation Learning by Learning to Count

    Mehdi Noroozi;Hamed Pirsiavash;Paolo Favaro

  • A closed form solution to robust subspace estimation and clustering

    Paolo Favaro;Rene Vidal;Avinash Ravichandran

  • Total Variation Blind Deconvolution: The Devil Is in the Details

    Daniele Perrone;Paolo Favaro

  • Light field superresolution

    Tom E. Bishop;Sara Zanetti;Paolo Favaro

  • Boosting Self-Supervised Learning via Knowledge Transfer

    Mehdi Noroozi;Ananth Vinjimoor;Paolo Favaro;Hamed Pirsiavash

  • Automated sleep scoring: A review of the latest approaches.

    Luigi Fiorillo;Alessandro Puiatti;Michela Papandrea;Pietro-Luca Ratti

  • Real-time feature tracking and outlier rejection with changes in illumination

    Hailin Jin;P. Favaro;S. Soatto

  • Shape from Defocus via Diffusion

    P. Favaro;S. Soatto;M. Burger;S.J. Osher

  • Faceshop: deep sketch-based face image editing

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

  • Motion Deblurring in the Wild

    Mehdi Noroozi;Paramanand Chandramouli;Paolo Favaro

  • Full-resolution depth map estimation from an aliased plenoptic light field

    Tom E. Bishop;Paolo Favaro

  • Observing Shape from Defocused Images

    Paolo Favaro;Andrea Mennucci;Stefano Soatto

  • Self-Supervised Feature Learning by Learning to Spot Artifacts

    Simon Jenni;Paolo Favaro

  • Learning to Extract a Video Sequence from a Single Motion-Blurred Image

    Meiguang Jin;Givi Meishvili;Paolo Favaro

  • A semi-direct approach to structure from motion

    Hailin Jin;Paolo Favaro;Stefano Soatto

  • Deep Mean-Shift Priors for Image Restoration

    Siavash Arjomand Bigdeli;Matthias Zwicker;Paolo Favaro;Meiguang Jin

  • Dynamic Texture Segmentation

    Gianfranco Doretto;Daniel Cremers;Paolo Favaro;Stefano Soatto

Frequent Co-Authors

Stefano Soatto
Stefano Soatto University of California, Los Angeles
Matthias Zwicker
Matthias Zwicker University of Maryland, College Park
Hailin Jin
Hailin Jin Adobe Systems (United States)
Hamed Pirsiavash
Hamed Pirsiavash University of California, Davis
René Vidal
René Vidal University of Pennsylvania
Roberto Cipolla
Roberto Cipolla University of Cambridge
Andrea Vedaldi
Andrea Vedaldi University of Oxford
Alessandro Chiuso
Alessandro Chiuso University of Padua
Andrea L. Bertozzi
Andrea L. Bertozzi University of California, Los Angeles
Paulo Oliveira
Paulo Oliveira University of Lisbon

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