E-LIB Suche - Ergebnisse für: Aytar, Yusuf

1

TAPIR: Tracking Any Point with per-frame Initialization and..:

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

Doersch, Carl ; Yang, Yi ; Vecerik, Mel... - p. 10027-10038 , 2023

2

Recipe1M+: A Dataset for Learning Cross-Modal Embeddings fo..:

Marin, Javier ; Biswas, Aritro ; Ofli, Ferda...
IEEE Transactions on Pattern Analysis and Machine Intelligence. 43 (2021) 1 - p. 187-203 , 2021

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

3

With a Little Help from My Friends: Nearest-Neighbor Contra..:

, In: 2021 IEEE/CVF International Conference on Computer Vision (ICCV),

Dwibedi, Debidatta ; Aytar, Yusuf ; Tompson, Jonathan.. - p. 9568-9577 , 2021

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

4

Counting Out Time: Class Agnostic Video Repetition Counting..:

, In: 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR),

Dwibedi, Debidatta ; Aytar, Yusuf ; Tompson, Jonathan.. - p. 10384-10393 , 2020

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

5

Self-Supervised Sim-to-Real Adaptation for Visual Robotic M..:

, In: 2020 IEEE International Conference on Robotics and Automation (ICRA),

Jeong, Rae ; Aytar, Yusuf ; Khosid, David... - p. 2718-2724 , 2020

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

6

Temporal Cycle-Consistency Learning:

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

Dwibedi, Debidatta ; Aytar, Yusuf ; Tompson, Jonathan.. - p. 1801-1810 , 2019

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

7

Cross-Modal Scene Networks:

Aytar, Yusuf ; Castrejon, Lluis ; Vondrick, Carl..
IEEE Transactions on Pattern Analysis and Machine Intelligence. 40 (2018) 10 - p. 2303-2314 , 2018

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

8

Is Saki #delicious? : The Food Perception Gap on Instagr..:

, In: Proceedings of the 26th International Conference on World Wide Web,

Ofli, Ferda ; Aytar, Yusuf ; Weber, Ingmar.. - p. 509-518 , 2017

Link: https://dl.acm.org/doi/1..

9

Part level transfer regularization for enhancing exemplar S..:

Aytar, Yusuf ; Zisserman, Andrew
Computer Vision and Image Understanding. 138 (2015) - p. 114-123 , 2015

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

10

Learning from One Continuous Video Stream:

Carreira, João ; King, Michael ; Pătrăucean, Viorica...
http://arxiv.org/abs/2312.00598. , 2023

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

11

Perception Test: A Diagnostic Benchmark for Multimodal Vide..:

Pătrăucean, Viorica ; Smaira, Lucas ; Gupta, Ankush...
http://arxiv.org/abs/2305.13786. , 2023

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

12

Lossless Adaptation of Pretrained Vision Models For Robotic..:

Sharma, Mohit ; Fantacci, Claudio ; Zhou, Yuxiang...
http://arxiv.org/abs/2304.06600. , 2023

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

13

TAPIR: Tracking Any Point with per-frame Initialization and..:

Doersch, Carl ; Yang, Yi ; Vecerik, Mel...
http://arxiv.org/abs/2306.08637. , 2023

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

14

RoboCat: A Self-Improving Generalist Agent for Robotic Mani..:

Bousmalis, Konstantinos ; Vezzani, Giulia ; Rao, Dushyant...
http://arxiv.org/abs/2306.11706. , 2023

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

15

RoboTAP: Tracking Arbitrary Points for Few-Shot Visual Imit..:

Vecerik, Mel ; Doersch, Carl ; Yang, Yi...
http://arxiv.org/abs/2308.15975. , 2023

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