Search Results - Siméoni, Oriane

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  1. 1
    Unsupervised Object Localization in the Era of Self-Supervised ViTs: A Survey

    Unsupervised Object Localization in the Era of Self-Supervised ViTs: A Survey by Siméoni, Oriane, Zablocki, Éloi, Gidaris, Spyros, Puy, Gilles, Pérez, Patrick

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  2. 2
    CLIP-DIY: CLIP Dense Inference Yields Open-Vocabulary Semantic Segmentation For-Free

    CLIP-DIY: CLIP Dense Inference Yields Open-Vocabulary Semantic Segmentation For-Free by Wysoczanska, Monika, Ramamonjisoa, Michael, Trzcinski, Tomasz, Simeoni, Oriane

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  3. 3
    Graph-based particular object discovery

    Graph-based particular object discovery by Siméoni, Oriane, Iscen, Ahmet, Tolias, Giorgos, Avrithis, Yannis, Chum, Ondřej

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  4. 4
    Tracking global gene expression responses in T cell differentiation

    Tracking global gene expression responses in T cell differentiation by Simeoni, Oriane, Piras, Vincent, Tomita, Masaru, Selvarajoo, Kumar

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  5. 5
    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 by Cardiel, Amaia, Zablocki, Eloi, Elias, Ramzi, Siméoni, Oriane, Cord, Matthieu

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  6. 6
    Unsupervised Object Localization in the Era of Self-Supervised ViTs: A Survey

    Unsupervised Object Localization in the Era of Self-Supervised ViTs: A Survey by Siméoni, Oriane, Zablocki, Éloi, Gidaris, Spyros, Puy, Gilles, Pérez, Patrick

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  7. 7
    MILAN: Milli-Annotations for Lidar Semantic Segmentation

    MILAN: Milli-Annotations for Lidar Semantic Segmentation by Samet, Nermin, Puy, Gilles, Siméoni, Oriane, Renaud Marlet

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  8. 8
    CLIP-DIY: CLIP Dense Inference Yields Open-Vocabulary Semantic Segmentation For-Free

    CLIP-DIY: CLIP Dense Inference Yields Open-Vocabulary Semantic Segmentation For-Free by Wysoczańska, Monika, Ramamonjisoa, Michaël, Trzciński, Tomasz, Siméoni, Oriane

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  9. 9
    A Study of Test-time Contrastive Concepts for Open-world, Open-vocabulary Semantic Segmentation

    A Study of Test-time Contrastive Concepts for Open-world, Open-vocabulary Semantic Segmentation by Wysoczańska, Monika, Vobecky, Antonin, Cardiel, Amaia, Trzciński, Tomasz, Renaud Marlet, Bursuc, Andrei, Siméoni, Oriane

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  10. 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 by Wysoczańska, Monika, Siméoni, Oriane, Ramamonjisoa, Michaël, Bursuc, Andrei, Trzciński, Tomasz, Pérez, Patrick

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  11. 11
    Drive&Segment: Unsupervised Semantic Segmentation of Urban Scenes via Cross-modal Distillation

    Drive&Segment: Unsupervised Semantic Segmentation of Urban Scenes via Cross-modal Distillation by Vobecky, Antonin, Hurych, David, Siméoni, Oriane, Gidaris, Spyros, Bursuc, Andrei, Pérez, Patrick, Sivic, Josef

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  12. 12
    Three Pillars improving Vision Foundation Model Distillation for Lidar

    Three Pillars improving Vision Foundation Model Distillation for Lidar by Puy, Gilles, Gidaris, Spyros, Boulch, Alexandre, Siméoni, Oriane, Sautier, Corentin, Pérez, Patrick, Bursuc, Andrei, Renaud Marlet

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  13. 13
    You Never Get a Second Chance To Make a Good First Impression: Seeding Active Learning for 3D Semantic Segmentation

    You Never Get a Second Chance To Make a Good First Impression: Seeding Active Learning for 3D Semantic Segmentation by Samet, Nermin, Siméoni, Oriane, Puy, Gilles, Ponimatkin, Georgy, Renaud Marlet, Lepetit, Vincent

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  14. 14
    Unsupervised Object Localization: Observing the Background to Discover Objects

    Unsupervised Object Localization: Observing the Background to Discover Objects by Siméoni, Oriane, Sekkat, Chloé, Puy, Gilles, Vobecky, Antonin, Zablocki, Éloi, Pérez, Patrick

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  15. 15
    Local Features and Visual Words Emerge in Activations

    Local Features and Visual Words Emerge in Activations by Siméoni, Oriane, Avrithis, Yannis, Chum, Ondrej

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  16. 16
    Active Learning Strategies for Weakly-supervised Object Detection

    Active Learning Strategies for Weakly-supervised Object Detection by Vo, Huy V, Siméoni, Oriane, Gidaris, Spyros, Bursuc, Andrei, Pérez, Patrick, Ponce, Jean

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  17. 17
    Valeo4Cast: A Modular Approach to End-to-End Forecasting

    Valeo4Cast: A Modular Approach to End-to-End Forecasting by Xu, Yihong, Zablocki, Éloi, Boulch, Alexandre, Puy, Gilles, Chen, Mickael, Bartoccioni, Florent, Samet, Nermin, Siméoni, Oriane, Gidaris, Spyros, Tuan-Hung Vu, Bursuc, Andrei, Valle, Eduardo, Renaud Marlet, Cord, Matthieu

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  18. 18
    Rethinking deep active learning: Using unlabeled data at model training

    Rethinking deep active learning: Using unlabeled data at model training by Siméoni, Oriane, Budnik, Mateusz, Avrithis, Yannis, Gravier, Guillaume

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  19. 19
    Localizing Objects with Self-Supervised Transformers and no Labels

    Localizing Objects with Self-Supervised Transformers and no Labels by Siméoni, Oriane, Puy, Gilles, Vo, Huy V, Roburin, Simon, Gidaris, Spyros, Bursuc, Andrei, Pérez, Patrick, Renaud Marlet, Ponce, Jean

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  20. 20
    Three Pillars Improving Vision Foundation Model Distillation for Lidar

    Three Pillars Improving Vision Foundation Model Distillation for Lidar by Puy, Gilles, Gidaris, Spyros, Boulch, Alexandre, Simeoni, Oriane, Sautier, Corentin, Perez, Patrick, Bursuc, Andrei, Marlet, Renaud

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