World's Best Scientists 2026 revealed!
Jean-François Lalonde

Jean-François Lalonde

D-Index & Metrics

Computer Science

D-Index
40
Citations
6122
World Ranking
9363
National Ranking
371

Overview

Jean-François Lalonde is affiliated with Université Laval in Canada and has produced a significant body of research primarily in computer science, engineering, and environmental science. Their work spans multiple subfields such as Computer Vision and Pattern Recognition, Environmental Engineering, and Building and Construction, among others.

Their research topics cover a wide array of themes including Advanced Vision and Imaging, Urban Heat Island Mitigation, Building Energy and Comfort Optimization, Multimodal Machine Learning Applications, Optical Measurement and Interference Techniques, Urban Green Space and Health, and the Impact of Light on Environment and Health.

Key recent papers authored in collaboration with others include:

  • Matching Feature Sets for Few-Shot Image Classification, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • Differentiable Compound Optics and Processing Pipeline Optimization for End-to-end Camera Design, 2021, ACM Transactions on Graphics
  • Mixture-based Feature Space Learning for Few-shot Image Classification, 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • Machine learning techniques to characterize functional traits of plankton from image data, 2022, Limnology and Oceanography
  • Deep learning-enabled framework for automatic lens design starting point generation, 2021, Optics Express

Among frequent co-authors found alongside Lalonde are Claude M. H. Demers, Marc Hébert, André Potvin, Christian Gagné, and Simon Thibault.

Their papers are commonly published in venues such as:

  • arXiv (Cornell University)
  • SSRN Electronic Journal
  • Indoor and Built Environment
  • Data in Brief
  • Computer Graphics Forum

Lalonde's research integrates methodologies from computer vision, machine learning, and environmental science to address various challenges across imaging technology and environmental impacts in urban and natural settings.

Best Publications

  • Natural terrain classification using three-dimensional ladar data for ground robot mobility

    Jean-François Lalonde;Nicolas Vandapel;Daniel F. Huber;Martial Hebert

  • Learning to predict indoor illumination from a single image

    Marc-André Gardner;Kalyan Sunkavalli;Ersin Yumer;Xiaohui Shen

  • Photo clip art

    Jean-François Lalonde;Derek Hoiem;Alexei A. Efros;Carsten Rother

  • Detecting ground shadows in outdoor consumer photographs

    Jean-François Lalonde;Alexei A. Efros;Srinivasa G. Narasimhan

  • Deep Outdoor Illumination Estimation

    Yannick Hold-Geoffroy;Kalyan Sunkavalli;Sunil Hadap;Emiliano Gambaretto

  • Domain Adaptation Through Synthesis for Unsupervised Person Re-identification

    Slawomir Bak;Peter Carr;Jean-Francois Lalonde

  • Rain Rendering for Evaluating and Improving Robustness to Bad Weather

    Maxime Tremblay;Shirsendu Sukanta Halder;Raoul de Charette;Jean-François Lalonde

  • Deep photovoltaic nowcasting

    Jinsong Zhang;Rodrigo Verschae;Shohei Nobuhara;Jean-François Lalonde

  • Estimating natural illumination from a single outdoor image

    Jean-Francois Lalonde;Alexei A. Efros;Srinivasa G. Narasimhan

  • Estimating the Natural Illumination Conditions from a Single Outdoor Image

    Jean-François Lalonde;Alexei A. Efros;Srinivasa G. Narasimhan

  • Using Color Compatibility for Assessing Image Realism

    J.-F. Lalonde;A.A. Efros

  • Matching Feature Sets for Few-Shot Image Classification

    Unknown

  • Deep Parametric Indoor Lighting Estimation

    Marc-Andre Gardner;Yannick Hold-Geoffroy;Kalyan Sunkavalli;Christian Gagne

  • Fast Spatially-Varying Indoor Lighting Estimation

    Mathieu Garon;Kalyan Sunkavalli;Sunil Hadap;Nathan Carr

  • Associative Alignment for Few-shot Image Classification

    Arman Afrasiyabi;Jean-François Lalonde;Christian Gagné;Christian Gagné

  • Scale selection for classification of point-sampled 3D surfaces

    J.F. Lalonde;R. Unnikrishnan;N. Vandapel;M. Hebert

  • What Do the Sun and the Sky Tell Us About the Camera

    Jean-François Lalonde;Srinivasa G. Narasimhan;Alexei A. Efros

  • Physics-Based Rendering for Improving Robustness to Rain

    Shirsendu Halder;Jean-Francois Lalonde;Raoul De Charette

  • Real-Time High Resolution 3D Data on the HoloLens

    Mathieu Garon;Pierre-Olivier Boulet;Jean-Philippe Doironz;Luc Beaulieu

  • Deep Sky Modeling for Single Image Outdoor Lighting Estimation

    Yannick Hold-Geoffroy;Akshaya Athawale;Jean-Francois Lalonde

  • Webcam clip art: appearance and illuminant transfer from time-lapse sequences

    Jean-François Lalonde;Alexei A. Efros;Srinivasa G. Narasimhan

  • Deep 6-DOF Tracking

    Mathieu Garon;Jean-Francois Lalonde

Frequent Co-Authors

Kalyan Sunkavalli
Kalyan Sunkavalli Adobe Systems (United States)
Alexei A. Efros
Alexei A. Efros University of California, Berkeley
Srinivasa G. Narasimhan
Srinivasa G. Narasimhan Carnegie Mellon University
Iain Matthews
Iain Matthews University of East Anglia
Martial Hebert
Martial Hebert Carnegie Mellon University
Christian Theobalt
Christian Theobalt Max Planck Institute for Informatics
Felix Heide
Felix Heide Princeton University
Xiaohui Shen
Xiaohui Shen ByteDance
Ralph Gross
Ralph Gross Carnegie Mellon University
Ersin Yumer
Ersin Yumer Adobe Systems (United States)

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