Alumni interns and visiting students

Achraff Adjileye - Internship 2024
Currently: PhD student
Baptiste Callard - Internship 2024
Valentin Gerard - Internship 2024
Currently: PhD student at EPFL with Alexandre Alahi
Ellington Kirby - Internship 2024
Currently: Computer Vision engineer at Parrot
Matteo Marengo - Internship 2024
Currently: Research Intern at Harvard Medical School
Walter Simoncini - Visiting Master student (April 2024 - May 2024)
Currently: PhD student at University of Technology Nuremberg with Yuki Asano
Monika Wysoczanska - Visiting PhD student (July 2023 - June 2024)
Currently: Internship at Google Deepmind with Cordelia Schmid
Amaia Cardiel - Internship 2023
Currently: PhD student at Valeo.ai and Grenoble Université with Eric Gaussier
Sophia Sirko-Galouchenko - Internship 2023
Currently: PhD student at Valeo.ai and Sorbonne Université with Nicolas Thome
Pegah Khayatan - Internship 2023
Currently: Visiting student at Sorbonne Université with Matthieu Cord
Thibaut Loiseau - Internship 2023
Currently: PhD student at ENPC with Vincent Lepetit
Denis Mbey Akola - Internship 2023
Currently: PhD student at NYU with David Fouhey
Loïck Chambon - Internship 2022
Currently: PhD student at Valeo.ai and Sorbonne Université with Matthieu Cord
Mehdi Zemni - Internship 2022
Currently: Data scientist at Argon & co
Chloé Sekkat - Internship 2022
Currently: Machine Learning Engineer at Sonos
Victoria Brami - Internship 2022
Currently: Vision-LLM Engineer at Woven by Toyota
Angelika Ando - Internship 2022
Currently: PhD student in Mines wtih Fabien Moutarde and Bogdan Stanciulescu
Corentin Sautier - Internship 2021
Currently: PhD student at Valeo.ai and ENPC with Vincent Lepetit
Imen Maazoun - Internship 2021
Currently: Machine Learning Engineer at Monk AI
Paul Jacob - Internship 2021
Currently: Research scientist at Mistral AI. Previously Research scientist at Owkin
Anh-Quan Cao - Internship 2020
Currently: Research scientist at valeo.ai. Previously PhD student at INRIA with Raoul de Charette
Björn Michele - Internship 2020
Currently: PhD student at Valeo.ai and IRISA OBELIX with Nicolas Courty
Guillaume Le Moing - Internship 2020
Currently: Research scientist at Google Deepmind. PhD at INRIA with Jean Ponce and Cordelia Schmid
Victor Besnier - Internship 2019
Currently: Research scientist at valeo.ai. PhD at Valeo and ENPC with David Picard
Florent Bartoccioni - Internship 2019
Currently: Research engineer at valeo.ai. PhD at Valeo.ai and INRIA with Karteek Alahari.


Projects led or contributed to by interns

  1. LOGen: Toward Lidar Object Generation by Point Diffusion
    Ellington Kirby, Mickaël Chen, Renaud Marlet, Nermin Samet
    under review, 2025
    Project page pdf
  2. GIFT: A Framework for Global Interpretable Faithful Textual Explanations of Vision Classifiers
    Éloi Zablocki*, Valentin Gerard*, Amaia Cardiel, Eric Gaussier, Matthieu Cord, Eduardo Valle
    under review, 2025
    pdf Code
  3. Test-Time Contrastive Concepts for Open-World Semantic Segmentation
    Monika Wysoczańska, Antonin Vobecky, Amaia Cardiel, Tomasz Trzciński, Renaud Marlet, Andrei Bursuc, Oriane Siméoni
    under review, 2025
    pdf
  4. No Train, all Gain: Self-Supervised Gradients Improve Deep Frozen Representations
    Walter Simoncini, Spyros Gidaris, Andrei Bursuc, Yuki M. Asano
    NeurIPS, 2024
    pdf Code
  5. 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
  6. Reliability in Semantic Segmentation: Can We Use Synthetic Data?
    Thibaut Loiseau, Tuan-Hung Vu, Mickael Chen, Patrick Pérez, Matthieu Cord
    ECCV, 2024
    pdf Code
  7. LLM-wrapper: Black-Box Semantic-Aware Adaptation of Vision-Language Foundation Models
    Amaia Cardiel, Éloi Zablocki, Oriane Siméoni, Elias Ramzi, Matthieu Cord
    ECCV Workshop EVAL-FoMo, 2024
    pdf
  8. 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
  9. 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
  10. CLIP-DIY: CLIP Dense Inference Yields Open-Vocabulary Semantic Segmentation For-Free
    Monika Wysoczańska, Michaël Ramamonjisoa, Tomasz Trzciński, Oriane Siméoni
    WACV, 2024
    pdf Code
  11. 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
  12. OCTET: Object-aware Counterfactual Explanations
    Mehdi Zemni, Mickaël Chen, Éloi Zablocki, Hédi Ben-Younes, Patrick Pérez, Matthieu Cord
    CVPR, 2023
    pdf Code Video
  13. 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
  14. Multi-Modal 3D GAN for Urban Scenes
    Loïck Chambon, Mickaël Chen, Tuan-Hung Vu, Alexandre Boulch, Andrei Bursuc, Matthieu Cord, Patrick Pérez
    NeurIPS ML4AD Workshop, 2022
    pdf Slides
  15. STEEX: Steering Counterfactual Explanations with Semantics
    Paul Jacob, Éloi Zablocki, Hédi Ben-Younes, Mickaël Chen, Patrick Pérez, Matthieu Cord
    ECCV, 2022
    pdf Code Video
  16. 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
  17. 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
  18. 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
  19. 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