Internships

Interns work with us on open research topics for ~6 months, often resulting in top-tier publications. Many go on to do a PhD with the team. Below: former interns and visiting students, and the papers they led or contributed to.

Alumni interns & visiting students

2025

Elhadi Chiter
Intern, 2025
→ PhD student at Mines Paris and Silab
Victor Ludvig
Intern, 2025
→ Software Engineer at Amazon
Nicolas Sereyjol-Garros
Intern, 2025
→ PhD student at Valeo.ai

2024

Achraff Adjileye
Intern, 2024
→ Founder at BALLER
Baptiste Callard
Intern, 2024
→ Research Engineer at Raidium
Valentin Gerard
Intern, 2024
→ PhD student at EPFL with Alexandre Alahi
Ellington Kirby
Intern, 2024
→ Research Engineer at valeo.ai
Matteo Marengo
Intern, 2024
→ PhD student at Institut Pasteur and Sanofi
Walter Simoncini
Visiting Master student · April 2024 - May 2024
→ PhD student at University of Technology Nuremberg with Yuki Asano
Monika Wysoczanska
Visiting PhD student · July 2023 - June 2024
→ Postdoc at valeo.ai

2023

Amaia Cardiel
Intern, 2023
→ PhD student at valeo.ai and Grenoble Université with Eric Gaussier
Sophia Sirko-Galouchenko
Intern, 2023
→ PhD student at valeo.ai and Sorbonne Université with Nicolas Thome
Pegah Khayatan
Intern, 2023
→ Phd student at Sorbonne Université with Matthieu Cord
Thibaut Loiseau
Intern, 2023
→ PhD student at ENPC with Vincent Lepetit
Denis Mbey Akola
Intern, 2023
→ PhD student at NYU with David Fouhey

2022

Loïck Chambon
Intern, 2022
→ PhD at valeo.ai and Sorbonne Université with Matthieu Cord
Mehdi Zemni
Intern, 2022
→ Data scientist at Criteo
Chloé Sekkat
Intern, 2022
→ Machine Learning Engineer at Sonos
Victoria Brami
Intern, 2022
→ Vision-LLM Engineer at Woven by Toyota
Angelika Ando
Intern, 2022
→ Research Engineer at Callyope.

2021

Corentin Sautier
Intern, 2021
→ AI scientist at Mistral AI. PhD at valeo.ai and ENPC with Vincent Lepetit
Imen Maazoun
Intern, 2021
→ Machine Learning Engineer at Monk AI
Paul Jacob
Intern, 2021
→ Research scientist at Mistral AI. Previously Research scientist at Owkin

2020

Anh-Quan Cao
Intern, 2020
→ Research scientist at valeo.ai. PhD at INRIA with Raoul de Charette
Björn Michele
Intern, 2020
→ Research scientist at Naver Labs Europe. PhD at valeo.ai and IRISA OBELIX with Nicolas Courty
Guillaume Le Moing
Intern, 2020
→ Research scientist at Google Deepmind. PhD at INRIA with Jean Ponce and Cordelia Schmid

2019

Victor Besnier
Intern, 2019
→ Research scientist at valeo.ai. PhD at valeo.ai and ENPC with David Picard
Florent Bartoccioni
Intern, 2019
→ Research scientist at Wayve. PhD at valeo.ai and INRIA with Karteek Alahari.

Papers led or co-authored by interns

  1. 2026

  2. R3DPA: Leveraging 3D Representation Alignment and RGB Pretrained Priors for LiDAR Scene Generation
    R3DPA: Leveraging 3D Representation Alignment and RGB Pretrained Priors for LiDAR Scene Generation
    Nicolas Sereyjol-Garros, Ellington Kirby, Victor Besnier, Nermin Samet
    ICRA 2026
    pdf Code
  3. GIFT: A Framework for Global Interpretable Faithful Textual Explanations of Vision Classifiers
    GIFT: A Framework for Global Interpretable Faithful Textual Explanations of Vision Classifiers
    Éloi Zablocki*, Valentin Gerard*, Amaia Cardiel, Eric Gaussier, Matthieu Cord, Eduardo Valle
    TMLR 2026Featured Certification
    pdf

  4. 2025

  5. LOGen: Toward Lidar Object Generation by Point Diffusion
    LOGen: Toward Lidar Object Generation by Point Diffusion
    Ellington Kirby, Mickaël Chen, Renaud Marlet, Nermin Samet
    BMVC 2025
    Project pdf
  6. Test-Time Contrastive Concepts for Open-World Semantic Segmentation
    Test-Time Contrastive Concepts for Open-World Semantic Segmentation
    Monika Wysoczańska, Antonin Vobecky, Amaia Cardiel, Tomasz Trzciński, Renaud Marlet, Andrei Bursuc, Oriane Siméoni
    TMLR 2025
    pdf
  7. LLM-wrapper: Black-Box Semantic-Aware Adaptation of Vision-Language Models for Referring Expression Comprehension
    LLM-wrapper: Black-Box Semantic-Aware Adaptation of Vision-Language Models for Referring Expression Comprehension
    Amaia Cardiel, Éloi Zablocki, Elias Ramzi, Oriane Siméoni, Matthieu Cord
    ICLR 2025
    pdf Code

  8. 2024

  9. No Train, all Gain: Self-Supervised Gradients Improve Deep Frozen Representations
    No Train, all Gain: Self-Supervised Gradients Improve Deep Frozen Representations
    Walter Simoncini, Spyros Gidaris, Andrei Bursuc, Yuki M. Asano
    NeurIPS 2024
    pdf Code
  10. CLIP-DINOiser: Teaching CLIP a few DINO tricks for open-vocabulary semantic segmentation
    CLIP-DINOiser: Teaching CLIP a few DINO tricks for open-vocabulary semantic segmentation
    Monika Wysoczańska, Oriane Siméoni, Michaël Ramamonjisoa, Andrei Bursuc, Tomasz Trzciński, Patrick Pérez
    ECCV 2024
    pdf Code
  11. Reliability in Semantic Segmentation: Can We Use Synthetic Data?
    Reliability in Semantic Segmentation: Can We Use Synthetic Data?
    Thibaut Loiseau, Tuan-Hung Vu, Mickael Chen, Patrick Pérez, Matthieu Cord
    ECCV 2024
    pdf Code
  12. ReGentS: Real-World Safety-Critical Driving Scenario Generation Made Stable
    ReGentS: Real-World Safety-Critical Driving Scenario Generation Made Stable
    Yuan Yin, Pegah Khayatan, Éloi Zablocki, Alexandre Boulch, Matthieu Cord
    ECCV Workshop W-CODA 2024
    pdf Code
  13. OccFeat: Self-supervised Occupancy Feature Prediction for Pretraining BEV Segmentation Networks
    OccFeat: Self-supervised Occupancy Feature Prediction for Pretraining BEV Segmentation Networks
    Sophia Sirko-Galouchenko, Alexandre Boulch, Spyros Gidaris, Andrei Bursuc, Antonin Vobecky, Patrick Pérez, Renaud Marlet
    CVPR Workshop WAD 2024
    pdf Code
  14. CLIP-DIY: CLIP Dense Inference Yields Open-Vocabulary Semantic Segmentation For-Free
    CLIP-DIY: CLIP Dense Inference Yields Open-Vocabulary Semantic Segmentation For-Free
    Monika Wysoczańska, Michaël Ramamonjisoa, Tomasz Trzciński, Oriane Siméoni
    WACV 2024
    pdf Code

  15. 2023

  16. Unsupervised Object Localization: Observing the Background to Discover Objects
    Unsupervised Object Localization: Observing the Background to Discover Objects
    Oriane Siméoni, Chloé Sekkat, Gilles Puy, Antonin Vobecky, Éloi Zablocki, Patrick Pérez
    CVPR 2023
    pdf Code Video
  17. OCTET: Object-aware Counterfactual Explanations
    OCTET: Object-aware Counterfactual Explanations
    Mehdi Zemni, Mickaël Chen, Éloi Zablocki, Hédi Ben-Younes, Patrick Pérez, Matthieu Cord
    CVPR 2023
    pdf Code Video
  18. RangeViT: Towards Vision Transformers for 3D Semantic Segmentation in Autonomous Driving
    RangeViT: Towards Vision Transformers for 3D Semantic Segmentation in Autonomous Driving
    Angelika Ando, Spyros Gidaris, Andrei Bursuc, Gilles Puy, Alexandre Boulch, and Renaud Marlet
    CVPR 2023
    pdf Code

  19. 2022

  20. STEEX: Steering Counterfactual Explanations with Semantics
    STEEX: Steering Counterfactual Explanations with Semantics
    Paul Jacob, Éloi Zablocki, Hédi Ben-Younes, Mickaël Chen, Patrick Pérez, Matthieu Cord
    ECCV 2022
    pdf Code Video
  21. Image-to-Lidar Self-Supervised Distillation for Autonomous Driving Data
    Image-to-Lidar Self-Supervised Distillation for Autonomous Driving Data
    Corentin Sautier, Gilles Puy, Spyros Gidaris, Alexandre Boulch, Andrei Bursuc, and Renaud Marlet
    CVPR 2022
    pdf Code

  22. 2021

  23. Generative Zero-Shot Learning for Semantic Segmentation of 3D Point Clouds
    Generative Zero-Shot Learning for Semantic Segmentation of 3D Point Clouds
    Bjoern Michele, Alexandre Boulch, Gilles Puy, Maxime Bucher, and Renaud Marlet
    3DV 2021
    pdf Code Slides
  24. PCAM: Product of Cross-Attention Matrices for Rigid Registration of Point Clouds
    PCAM: Product of Cross-Attention Matrices for Rigid Registration of Point Clouds
    Anh-Quan Cao, Gilles Puy, Alexandre Boulch, and Renaud Marlet
    ICCV 2021
    pdf Code
  25. Semantic Palette: Guiding Scene Generation with Class Proportions
    Semantic Palette: Guiding Scene Generation with Class Proportions
    Guillaume Le Moing, Tuan-Hung Vu, Himalaya Jain, Patrick Pérez and Matthieu Cord
    CVPR 2021
    pdf Code