Oriane Siméoni

Orcid: 0000-0003-3232-8978

According to our database1, Oriane Siméoni authored at least 17 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
CLIP-DIY: CLIP Dense Inference Yields Open-Vocabulary Semantic Segmentation For-Free.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

2023
CLIP-DINOiser: Teaching CLIP a few DINO tricks.
CoRR, 2023

Revisiting the Distillation of Image Representations into Point Clouds for Autonomous Driving.
CoRR, 2023

Unsupervised Object Localization in the Era of Self-Supervised ViTs: A Survey.
CoRR, 2023

MOCA: Self-supervised Representation Learning by Predicting Masked Online Codebook Assignments.
CoRR, 2023

POP-3D: Open-Vocabulary 3D Occupancy Prediction from Images.
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.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Unsupervised Object Localization: Observing the Background to Discover Objects.
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.
Proceedings of the Computer Vision - ECCV 2022, 2022

Active Learning Strategies for Weakly-Supervised Object Detection.
Proceedings of the Computer Vision - ECCV 2022, 2022

2021
Localizing Objects with Self-supervised Transformers and no Labels.
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).
PhD thesis, 2020

Rethinking deep active learning: Using unlabeled data at model training.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

2019
Graph-based particular object discovery.
Mach. Vis. Appl., 2019

Local Features and Visual Words Emerge in Activations.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018
Unsupervised Object Discovery for Instance Recognition.
Proceedings of the 2018 IEEE Winter Conference on Applications of Computer Vision, 2018

2017
Unsupervised deep object discovery for instance recognition.
CoRR, 2017


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