E-LIB Suche - Ergebnisse für: Simeoni, Oriane

1

CLIP-DIY: CLIP Dense Inference Yields Open-Vocabulary Seman..:

, In: 2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV),

Wysoczanska, Monika ; Ramamonjisoa, Michael ; Trzcinski, Tomasz. - p. 1392-1402 , 2024

Link: https://doi.org/10.1109/..

2

Unsupervised Object Localization: Observing the Background ..:

, In: 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR),

Simeoni, Oriane ; Sekkat, Chloe ; Puy, Gilles... - p. 3176-3186 , 2023

Link: https://doi.org/10.1109/..

3

You Never Get a Second Chance To Make a Good First Impressi..:

, In: 2023 IEEE/CVF International Conference on Computer Vision (ICCV),

Samet, Nermin ; Simeoni, Oriane ; Puy, Gilles... - p. 18399-18411 , 2023

Link: https://doi.org/10.1109/..

4

Active Learning Strategies for Weakly-Supervised Object Det..:

, In: Lecture Notes in Computer Science; Computer Vision – ECCV 2022,

Vo, Huy V. ; Siméoni, Oriane ; Gidaris, Spyros... - p. 211-230 , 2022

Link: https://doi.org/10.1007/..

5

Drive&Segment: Unsupervised Semantic Segmentation of Urban ..:

, In: Lecture Notes in Computer Science; Computer Vision – ECCV 2022,

Vobecky, Antonin ; Hurych, David ; Siméoni, Oriane... - p. 478-495 , 2022

Link: https://doi.org/10.1007/..

6

Local Features and Visual Words Emerge in Activations:

, In: 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR),

Simeoni, Oriane ; Avrithis, Yannis ; Chum, Ondrej - p. 11643-11652 , 2019

Link: https://doi.org/10.1109/..

7

Graph-based particular object discovery:

Siméoni, Oriane ; Iscen, Ahmet ; Tolias, Giorgos..
Machine Vision and Applications. 30 (2019) 2 - p. 243-254 , 2019

Link: https://doi.org/10.1007/..

8

Tracking global gene expression responses in T cell differe..:

Simeoni, Oriane ; Piras, Vincent ; Tomita, Masaru.
Gene. 569 (2015) 2 - p. 259-266 , 2015

Link: https://doi.org/10.1016/..

9

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

Vobecky, Antonin ; Siméoni, Oriane ; Hurych, David...
http://arxiv.org/abs/2401.09413. , 2024

Link: http://arxiv.org/abs/240..

10

Unsupervised Object Localization in the Era of Self-Supervi..:

Siméoni, Oriane ; Zablocki, Éloi ; Gidaris, Spyros..
http://arxiv.org/abs/2310.12904. , 2023

Link: http://arxiv.org/abs/231..

11

CLIP-DINOiser: Teaching CLIP a few DINO tricks:

Wysoczańska, Monika ; Siméoni, Oriane ; Ramamonjisoa, Michaël...
http://arxiv.org/abs/2312.12359. , 2023

Link: http://arxiv.org/abs/231..

12

MOCA: Self-supervised Representation Learning by Predicting..:

Gidaris, Spyros ; Bursuc, Andrei ; Simeoni, Oriane...
http://arxiv.org/abs/2307.09361. , 2023

Link: http://arxiv.org/abs/230..

13

Revisiting the Distillation of Image Representations into P..:

Puy, Gilles ; Gidaris, Spyros ; Boulch, Alexandre...
http://arxiv.org/abs/2310.17504. , 2023

Link: http://arxiv.org/abs/231..

14

You Never Get a Second Chance To Make a Good First Impressi..:

Samet, Nermin ; Siméoni, Oriane ; Puy, Gilles...
http://arxiv.org/abs/2304.11762. , 2023

Link: http://arxiv.org/abs/230..

15

CLIP-DIY: CLIP Dense Inference Yields Open-Vocabulary Seman..:

Wysoczańska, Monika ; Ramamonjisoa, Michaël ; Trzciński, Tomasz.
http://arxiv.org/abs/2309.14289. , 2023

Link: http://arxiv.org/abs/230..