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Hakan Bilen
Hakan Bilen
School of Informatics, University of Edinburgh
Verifisert e-postadresse på ed.ac.uk - Startside
Tittel
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Sitert av
År
Learning multiple visual domains with residual adapters
SA Rebuffi, H Bilen, A Vedaldi
Conference on Neural Information Processing Systems (NIPS), 2017
9992017
Weakly Supervised Deep Detection Networks
H Bilen, A Vedaldi
Conference on Computer Vision and Pattern Recognition (CVPR), 2016
9642016
Dynamic image networks for action recognition
H Bilen, B Fernando, E Gavves, A Vedaldi, S Gould
Proceedings of the IEEE conference on computer vision and pattern …, 2016
7032016
idlg: Improved deep leakage from gradients
B Zhao, KR Mopuri, H Bilen
arXiv preprint arXiv:2001.02610, 2020
6742020
Self-supervised video representation learning with odd-one-out networks
B Fernando, H Bilen, E Gavves, S Gould
Conference on Computer Vision and Pattern Recognition (CVPR), 2017
5452017
Dataset condensation with gradient matching
B Zhao, KR Mopuri, H Bilen
arXiv preprint arXiv:2006.05929, 2020
4792020
Efficient parametrization of multi-domain deep neural networks
SA Rebuffi, H Bilen, A Vedaldi
Proceedings of the IEEE conference on computer vision and pattern …, 2018
4472018
Dataset Condensation with Differentiable Siamese Augmentation
B Zhao, H Bilen
International Conference on Machine Learning (ICML), 2021
2952021
Unsupervised Learning of Object Landmarks through Conditional Image Generation
T Jakab, A Gupta, H Bilen, A Vedaldi
Advances in Neural Information Processing Systems (NIPS), 2018
2932018
Dataset condensation with distribution matching
B Zhao, H Bilen
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2023
2912023
Action recognition with dynamic image networks
H Bilen, B Fernando, E Gavves, A Vedaldi
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2017
2832017
Weakly Supervised Object Detection with Convex Clustering
H Bilen, M Pedersoli, T Tuytelaars
Conference on Computer Vision and Pattern Recognition, 2015
2502015
Cafe: Learning to condense dataset by aligning features
K Wang, B Zhao, X Peng, Z Zhu, S Yang, S Wang, G Huang, H Bilen, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
2262022
Universal representations: The missing link between faces, text, planktons, and cat breeds
H Bilen, A Vedaldi
arXiv preprint arXiv:1701.07275, 2017
1732017
Unsupervised learning of object landmarks by factorized spatial embeddings
J Thewlis, H Bilen, A Vedaldi
International Conference on Computer Vision (ICCV), 2017
1712017
Weakly Supervised Object Detection with Posterior Regularization
H Bilen, M Pedersoli, T Tuytelaars
The British Machine Vision Conference, 2014
1642014
Renderdiffusion: Image diffusion for 3d reconstruction, inpainting and generation
T Anciukevičius, Z Xu, M Fisher, P Henderson, H Bilen, NJ Mitra, ...
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2023
1512023
Cross-domain Few-shot Learning with Task-specific Adapters
WH Li, X Liu, H Bilen
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022
1412022
Integrated perception with recurrent multi-task neural networks
H Bilen, A Vedaldi
Advances in Neural Information Processing Systems, 2016
1132016
Unsupervised object learning from dense equivariant image labelling
J Thewlis, H Bilen, A Vedaldi
Advances in Neural Information Processing Systems (NIPS), 2017
109*2017
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Artikler 1–20