Oriane Siméoni

Research Scientist at valeo.ai
Located in Paris, France
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Short Bio

Oriane Siméoni is a Research Scientist in the research team valeo.ai, working on computer vision issues with a focus on methods using little to no human-made annotation. Before joining valeo.ai, she did her PhD at Inria Rennes--Bretagne Atlantique under the supervision of Yannis Avrithis and Guillaume Gravier. During her PhD, she performed two internships at Twitter and Google and visited the Visual Recognition Group (CVUT).

News

  • 09/23 I will give a talk at ECMLPKDD Workshop "Adapting to Change".
  • Now We have opened positions at valeo.ai. Reach out for details!
  • 06/23 Our tutorial @CVPR23 about object localization for free is now online.
  • 03/23 The code and demo of our paper FOUND are out.
  • 02/23 Our tutorial about unsupervised object localization was accepted at CVPR 2023, check it out!
  • 02/23 Our method FOUND (running at 80 FPS) for unsupervised object localization is accepted to CVPR 2023.
  • 11/22 I had the honor to be invited jury member at the excellent PhD defense of Huy V. Vo. Congrats Huy !
  • 06/22 Two papers (incl. one oral) accepted to ECCV 2022. >>
    • Drive&Segment: Unsupervised Semantic Segmentation of Urban Scenes via Cross-modal Distillation,
      A. Vobecky, D. Hurych, O. Siméoni, S. Gidaris, A. Bursuc, P. Pérez and J. Sivic.
      ECCV 2022 (oral) page paper code
    • Active Learning Strategies for Weakly-Supervised Object Detection,
      Huy V. Vo, Oriane Siméoni, Spyros Gidaris, Andrei Bursuc, Patrick Pérez and Jean Ponce.
      ECCV 2022 page paper code
  • 04/22 I am an Emergency Reviewer at ECCV 2022.
  • 03/22 I am an Outstanding Reviewer at CVPR 2022.
  • 11/21 The code of our paper LOST is out here.
    • 09/21 Our paper LOST accepted to BMVC 2021. >>
      • Localizing Objects with Self-Supervised Transformers and no Labels,
        Oriane Siméoni, Gilles Puy, Huy V Vo, Simon Roburin, Spyros Gidaris, Andrei Bursuc, Patrick Pérez, Renaud Marlet, Jean Ponce.
        BMVC 2021 paper code

Activities


  • [09/23] I am a Logistics Chair of ICCV23, Paris, France.
  • [06/23] Organization of the CVPR23 Tutorial object localization for free, Vancouver, Canada.
  • [01/23] Organization of valeo.ai internal workshop VAST, Paris, France.
  • Outstanding reviewer award CVPR22
  • Active conference reviewer: CVPR [2020-2023], ECCV [2022], ICCV [2023], NeurIPSW [2021]
  • Active journal reviewer: TPAMI [2021-2023], IJCV [2022-2023], CVIU [2022-2023], IEEE RA [2020]

Talks


  • workshop 09/23 - Upcoming talk @ECMLPKDD'23 Workshop "Adapting to Change", Turin, Italy
  • tutorial 06/23 - About unsupervised object localization @CVPR23 Tutorial , Vancouver, Canada
  • seminar 03/22 - About dataset construction & active learning @Confiance, online
  • talk 01/22 - About our paper LOST to the IMAGINE team, online
  • talk 04/21 - About object discovery & retrieval to the Vertigo team, CNAM, online
  • talk 06/21 - About active learning to the Quarma team, online
  • defense 10/20 - Defense of my PhD thesis , Rennes, France
  • talk 07/19 - About CVPR19 paper DSM @ICVSS (best pres. award), Sicily, Italy
  • talk 05/19 - About CVPR19 paper Deep Spatial Matching to the VGG group, Oxford, UK
Material noted are licensed under the Creative Commons BY-NC-SA 4.0 International License. They may be used for purposes that are not lucrative.

Research


You Never Get a Second Chance To Make a Good First Impression: Seeding Active Learning for 3D Semantic Segmentation

 Nermin Samet, Oriane Siméoni, Gilles Puy, Georgy Ponimatkin, Renaud Marlet and Vincent Lepetit
ICCV, 2023
paper code

Unsupervised Object Localization: Observing the Background to Discover Objects

 Oriane Siméoni, Chloé Sekkat, Gilles Puy, Antonin Vobecky, Eloi Zablocki and Patrick Pérez
CVPR, 2023
page paper code demo

Active Learning Strategies for Weakly-Supervised Object Detection

 Huy V. Vo, Oriane Siméoni, Spyros Gidaris, Andrei Bursuc, Patrick Pérez and Jean Ponce
ECCV, 2022
page paper code

Drive&Segment: Unsupervised Semantic Segmentation of Urban Scenes via Cross-modal Distillation

 Antonin Vobecky, David Hurych, Oriane Siméoni, Spyros Gidaris, Andrei Bursuc, Patrick Pérez and Josef Sivic
ECCV, 2022 (oral presentation)
page paper code

Localizing Objects with Self-Supervised Transformers and no Labels

 Oriane Siméoni, Gilles Puy, Huy V Vo, Simon Roburin, Spyros Gidaris, Andrei Bursuc, Patrick Pérez, Renaud Marlet and Jean Ponce
BMVC, 2021
paper code

Robust image representation for classification, retrieval and object discovery

 Oriane Siméoni
PhD thesis
thesis

Rethinking deep active learning: Using unlabeled data at model training

 Oriane Siméoni, Mateusz Budnik, Yannis Avrithis and Guillaume Gravier
ICPR, 2020
paper code

Local Features and Visual Words Emerge in Activations

 Oriane Siméoni, Yannis Avrithis and Ondrej Chum
CVPR, 2019
paper code

Graph-based particular object discovery

 Oriane Siméoni, Ahmet Iscen, Giorgos Tolias, Yannis Avrithis and Ondrej Chum
MVA, 2019
paper

Unsupervised object discovery for instance recognition

 Oriane Siméoni, Ahmet Iscen, Giorgos Tolias, Yannis Avrithis and Ondrej Chum
WACV, 2018
paper video

Tracking global gene expression responses in T cell differentiation

 Oriane Siméoni, Vincent Piras, M. Tomita and Kumar Selvarajoo
Gene, 2015
paper

Longer Presentation


I am currently working as a Research Scientist in the research team valeo.ai, focusing on perception issues. My research focuses on computer vision. I study methods to compute robust visual representations whilst having the aim of using less supervision and exploiting more available data. In particular I have worked on classification, detection and retrieval tasks. I am interested in image representation, multimodal learning and machine learning in general.

I have defended my PhD on the 10th of September 2020 (delayed due to COVID). I have had the honor of been reviewed by Pr. Patrick Pérez and Pr. Josef Sivic and examined by Pr. Cordelia Schmid, Dr. Hervé Jégou, Dr. Diane Larlus, Dr. Elisa Fromont and Dr. Ondřej Chum (as invited member). I have performed my PhD at Inria Rennes--Bretagne Atlantique under the supervision of Yannis Avrithis and Guillaume Gravier. During my PhD, I have performed two internships at Twitter and Google and visited the Visual Recognition Group (CVUT).

Last updated: 19th of July 2023

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