Direction de recherche : Isabelle BLOCH

Apprentissage de données structurées pour l'interprétation d'images

Publications 2009-2024

• 2024
  • G. Franchi, A. Bursuc, E. Aldea, S. Dubuisson, I. Bloch : “Encoding the Latent Posterior of Bayesian Neural Networks for Uncertainty Quantification”, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 46 (4), pp. 2027-2040, (Institute of Electrical and Electronics Engineers) (2024)
• 2022
  • G. Franchi, A. Bursuc, E. Aldea, S. Dubuisson, I. Bloch : “One Versus all for deep Neural Network Incertitude (OVNNI) quantification”, IEEE Access, (IEEE) (2022)
• 2020
  • G. Franchi, A. Bursuc, E. Aldea, S. Dubuisson, I. Bloch : “Encoding the latent posterior of Bayesian Neural Networks for uncertainty quantification”, NeurIPS workshop on Bayesian Deep Learning, Vancouver, Canada (2020)
  • G. Franchi, A. Bursuc, E. Aldea, S. Dubuisson, I. Bloch : “TRADI: Tracking deep neural network weight distributions”, 16^th European Conference on Computer Vision. ECCV 2020, Online Event, France (2020)
  • G. Franchi, E. Aldea, S. Dubuisson, I. Bloch : “Tracking hundreds of people in densely crowded scenes with particle filtering supervising deep convolutional neural networks”, IEEE International Conference on Image Processing (ICIP), Abu Dhabi, (2020)
• 2019
  • G. Franchi, E. Aldea, S. Dubuisson, I. Bloch : “Crowd Behavior Characterization for Scene Tracking”, 2019 16^th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS), Taipei, Taiwan, Province of China, pp. 1-8, (IEEE) (2019)
• 2011
  • N. Widynski, E. Aldea, S. Dubuisson, I. Bloch : “Object Tracking based on Particle Filtering with Multiple Appearance Models”, Sixth International Conference on Computer Vision Theory and Applications (VISAPP'11), Algarve, Portugal, pp. 604-609, (ScitePress) (2011)
• 2009
  • E. Aldea : “Apprentissage de données structurées pour l’interprétation d’images”, thèse, soutenance 12/12/2009, direction de recherche Bloch, Isabelle (2009)