Séminaire au vert – 2020 (Annual team seminar)

Date:  October, 23 (FRIDAY)

Room:  A105-107

Program:

  •  09h30 — 11h30 : Methodological aspects of Machine Learning
    • Nicolas Courty : WAR : Wasserstein Adversarial Regularization for learning with label noise
    • Laetitia Chapel : partial OT for PU learning
    • Titouan Vayer : COOT (Co-Optimal Transport)
    • Killian Fatras : MixUp meets OT : interpolating images may improve estimation of distributions
  • 11h30 — 12h : Time series & Machine Learning
    • Romain Tavenard : Time Series Alignment with Global Invariances
  • 12h — 14h00 Lunch
  • 14h — 16h30 : Remote sensing methodologies & applications
    •  Bezhag Mirmahboub : Median-tree: an efficient counterpart of Tree-of-Shapes
    • Heng Zhang : Localize to Classify and Classify to Localize: Mutual Guidance in Object Detection
    •  Thomas Corpetti : Monitoring urban areas with Sentinel-2
    •  Minh-Tan Pham : Small object detection from remote sensing images using YOLO-fine or based on super-resolution
    •  Deise Santana Maia : Automated detection of marine megafauna in offshore wind farm
  • 16h30 — 17h00 : Future of OBELIX / Discussions

 

Comments are closed.