Unsupervised deep object discovery for instance recognition. - Oriane Siméoni; Ahmet Iscen; Giorgos Tolias; Yannis Avrithis; Ondrej Chum (CoRR, 2017)

Unsupervised Object Discovery for Instance Recognition. - Oriane Siméoni; Ahmet Iscen; Giorgos Tolias; Yannis Avrithis; Ondrej Chum (WACV, 2018)

Local Features and Visual Words Emerge in Activations. - Oriane Siméoni; Yannis Avrithis; Ondrej Chum (CVPR, 2019)

Graph-based particular object discovery. - Oriane Siméoni; Ahmet Iscen; Giorgos Tolias; Yannis Avrithis; Ondrej Chum (Mach. Vis. Appl., 2019)

Rethinking deep active learning: Using unlabeled data at model training. - Oriane Siméoni; Mateusz Budnik; Yannis Avrithis; Guillaume Gravier (ICPR, 2020)

Robust image representation for classification, retrieval and object discovery. (Représentation robuste d'images pour les tâches de classification d'images, de recherche d'images et de découverte d'objets dans une image). - Oriane Siméoni (2020)

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)

Active Learning Strategies for Weakly-Supervised Object Detection. - Huy V. Vo; Oriane Siméoni; Spyros Gidaris; Andrei Bursuc; Patrick Pérez; Jean Ponce (ECCV (30), 2022)

Drive&Segment: Unsupervised Semantic Segmentation of Urban Scenes via Cross-Modal Distillation. - Antonín Vobecký; David Hurych; Oriane Siméoni; Spyros Gidaris; Andrei Bursuc; Patrick Pérez; Josef Sivic (ECCV (38), 2022)

Unsupervised Object Localization: Observing the Background to Discover Objects. - Oriane Siméoni; Chloé Sekkat; Gilles Puy; Antonín Vobecký; Éloi Zablocki; Patrick Pérez (CVPR, 2023)

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; Vincent Lepetit (ICCV, 2023)

POP-3D: Open-Vocabulary 3D Occupancy Prediction from Images. - Antonín Vobecký; Oriane Siméoni; David Hurych; Spyridon Gidaris; Andrei Bursuc; Patrick Pérez; Josef Sivic (NeurIPS, 2023)

Revisiting the Distillation of Image Representations into Point Clouds for Autonomous Driving. - Gilles Puy; Spyros Gidaris; Alexandre Boulch; Oriane Siméoni; Corentin Sautier; Patrick Pérez; Andrei Bursuc; Renaud Marlet (CoRR, 2023)

CLIP-DINOiser: Teaching CLIP a few DINO tricks. - Monika Wysoczanska; Oriane Siméoni; Michaël Ramamonjisoa; Andrei Bursuc; Tomasz Trzcinski; Patrick Pérez (CoRR, 2023)

Three Pillars Improving Vision Foundation Model Distillation for Lidar. - Gilles Puy; Spyros Gidaris; Alexandre Boulch; Oriane Siméoni; Corentin Sautier; Patrick Pérez; Andrei Bursuc; Renaud Marlet (CVPR, 2024)

CLIP-DINOiser: Teaching CLIP a Few DINO Tricks for Open-Vocabulary Semantic Segmentation. - Monika Wysoczanska; Oriane Siméoni; Michaël Ramamonjisoa; Andrei Bursuc; Tomasz Trzcinski; Patrick Pérez (ECCV (61), 2024)

Valeo4Cast: A Modular Approach to End-to-End Forecasting. - Yihong Xu; Éloi Zablocki; Alexandre Boulch; Gilles Puy; Mickaël Chen; Florent Bartoccioni; Nermin Samet; Oriane Siméoni; Spyros Gidaris; Tuan-Hung Vu; Andrei Bursuc; Eduardo Valle; et al. (ECCV Workshops (7), 2024)

CLIP-DIY: CLIP Dense Inference Yields Open-Vocabulary Semantic Segmentation For-Free. - Monika Wysoczanska; Michaël Ramamonjisoa; Tomasz Trzcinski; Oriane Siméoni (WACV, 2024)

A Study of Test-time Contrastive Concepts for Open-world, Open-vocabulary Semantic Segmentation. - Monika Wysoczanska; Antonín Vobecký; Amaia Cardiel; Tomasz Trzcinski; Renaud Marlet; Andrei Bursuc; Oriane Siméoni (CoRR, 2024)

MILAN: Milli-Annotations for Lidar Semantic Segmentation. - Nermin Samet; Gilles Puy; Oriane Siméoni; Renaud Marlet (CoRR, 2024)

LLM-wrapper: Black-Box Semantic-Aware Adaptation of Vision-Language Foundation Models. - Amaia Cardiel; Eloi Zablocki; Oriane Siméoni; Elias Ramzi; Matthieu Cord (CoRR, 2024)

MOCA: Self-supervised Representation Learning by Predicting Masked Online Codebook Assignments. - Spyros Gidaris; Andrei Bursuc; Oriane Siméoni; Antonín Vobecký; Nikos Komodakis; Matthieu Cord; Patrick Pérez (Trans. Mach. Learn. Res., 2024)

DINOv2 Meets Text: A Unified Framework for Image- and Pixel-Level Vision-Language Alignment. - Cijo Jose; Théo Moutakanni; Dahyun Kang; Federico Baldassarre; Timothée Darcet; Hu Xu 001; Daniel Li 006; Marc Szafraniec; Michaël Ramamonjisoa; Maxime Oquab; Oriane Siméoni; Huy V. Vo; et al. (CVPR, 2025)

LLM-wrapper: Black-Box Semantic-Aware Adaptation of Vision-Language Models for Referring Expression Comprehension. - Amaia Cardiel; Eloi Zablocki; Elias Ramzi; Oriane Siméoni; Matthieu Cord (ICLR, 2025)

Test-time Contrastive Concepts for Open-world Semantic Segmentation with Vision-Language Models. - Monika Wysoczanska; Antonín Vobecký; Amaia Cardiel; Tomasz Trzcinski; Renaud Marlet; Andrei Bursuc; Oriane Siméoni (Trans. Mach. Learn. Res., 2025)

Unsupervised Object Localization in the Era of Self-Supervised ViTs: A Survey. - Oriane Siméoni; Éloi Zablocki; Spyros Gidaris; Gilles Puy; Patrick Pérez (Int. J. Comput. Vis., 2025)

Unsupervised Semantic Segmentation of Urban Scenes via Cross-Modal Distillation. - Antonín Vobecký; David Hurych; Oriane Siméoni; Spyros Gidaris; Andrei Bursuc; Patrick Pérez; Josef Sivic (Int. J. Comput. Vis., 2025)

DINOv3. - Oriane Siméoni; Huy V. Vo; Maximilian Seitzer; Federico Baldassarre; Maxime Oquab; Cijo Jose; Vasil Khalidov; Marc Szafraniec; Seung Eun Yi; Michaël Ramamonjisoa; Francisco Massa; Daniel Haziza; et al. (CoRR, 2025)