Oriane Siméoni

According to our database, Oriane Siméoni authored at least 28 papers between 2017 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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, Luca Wehrstedt, Jianyuan Wang, Timothée Darcet, Théo Moutakanni, Leonel Sentana, Claire Roberts, Andrea Vedaldi, Jamie Tolan, John Brandt, Camille Couprie, Julien Mairal, Hervé Jégou, Patrick Labatut, Piotr Bojanowski

CoRR, August, 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., June, 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., February, 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

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

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

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, Daniel Li, Marc Szafraniec, Michaël Ramamonjisoa, Maxime Oquab, Oriane Siméoni, Huy V. Vo, Patrick Labatut, Piotr Bojanowski

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

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

LLM-wrapper: Black-Box Semantic-Aware Adaptation of Vision-Language Foundation Models.

Amaia Cardiel, Eloi Zablocki, Oriane Siméoni, Elias Ramzi, Matthieu Cord

CoRR, 2024

MILAN: Milli-Annotations for Lidar Semantic Segmentation.

Nermin Samet, Gilles Puy, Oriane Siméoni, Renaud Marlet

CoRR, 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

CLIP-DIY: CLIP Dense Inference Yields Open-Vocabulary Semantic Segmentation For-Free.

Monika Wysoczanska, Michaël Ramamonjisoa, Tomasz Trzcinski, Oriane Siméoni

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 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, Renaud Marlet, Matthieu Cord

Proceedings of the Computer Vision - ECCV 2024 Workshops, 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

Proceedings of the Computer Vision - ECCV 2024, 2024

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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

CLIP-DINOiser: Teaching CLIP a few DINO tricks.

Monika Wysoczanska, Oriane Siméoni, Michaël Ramamonjisoa, Andrei Bursuc, Tomasz Trzcinski, Patrick Pérez

CoRR, 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

POP-3D: Open-Vocabulary 3D Occupancy Prediction from Images.

Antonín Vobecký, Oriane Siméoni, David Hurych, Spyridon Gidaris, Andrei Bursuc, Patrick Pérez, Josef Sivic

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 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

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Unsupervised Object Localization: Observing the Background to Discover Objects.

Oriane Siméoni, Chloé Sekkat, Gilles Puy, Antonín Vobecký, Éloi Zablocki, Patrick Pérez

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

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

Proceedings of the Computer Vision - ECCV 2022, 2022

Active Learning Strategies for Weakly-Supervised Object Detection.

Huy V. Vo, Oriane Siméoni, Spyros Gidaris, Andrei Bursuc, Patrick Pérez, Jean Ponce

Proceedings of the Computer Vision - ECCV 2022, 2022

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

Proceedings of the 32nd British Machine Vision Conference 2021, 2021

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

PhD thesis, 2020

Rethinking deep active learning: Using unlabeled data at model training.

Oriane Siméoni, Mateusz Budnik, Yannis Avrithis, Guillaume Gravier

Proceedings of the 25th International Conference on Pattern Recognition, 2020

2019

Graph-based particular object discovery.

Oriane Siméoni, Ahmet Iscen, Giorgos Tolias, Yannis Avrithis, Ondrej Chum

Mach. Vis. Appl., 2019

Local Features and Visual Words Emerge in Activations.

Oriane Siméoni, Yannis Avrithis, Ondrej Chum

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

Unsupervised Object Discovery for Instance Recognition.

Oriane Siméoni, Ahmet Iscen, Giorgos Tolias, Yannis Avrithis, Ondrej Chum

Proceedings of the 2018 IEEE Winter Conference on Applications of Computer Vision, 2018

2017

Unsupervised deep object discovery for instance recognition.

Oriane Siméoni, Ahmet Iscen, Giorgos Tolias, Yannis Avrithis, Ondrej Chum

CoRR, 2017