Hakan Bilen
Hakan Bilen
School of Informatics, University of Edinburgh
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Año
Weakly Supervised Deep Detection Networks
H Bilen, A Vedaldi
Conference on Computer Vision and Pattern Recognition (CVPR), 2016
5242016
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
5052016
Learning multiple visual domains with residual adapters
SA Rebuffi, H Bilen, A Vedaldi
Conference on Neural Information Processing Systems (NIPS), 2017
2872017
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
2632017
Weakly Supervised Object Detection with Convex Clustering
H Bilen, M Pedersoli, T Tuytelaars
Conference on Computer Vision and Pattern Recognition, 2015
1942015
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
1662018
Action recognition with dynamic image networks
H Bilen, B Fernando, E Gavves, A Vedaldi
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2017
1612017
Weakly Supervised Object Detection with Posterior Regularization
H Bilen, M Pedersoli, T Tuytelaars
The British Machine Vision Conference, 2014
1442014
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
116*2018
Universal representations: The missing link between faces, text, planktons, and cat breeds
H Bilen, A Vedaldi
arXiv preprint arXiv:1701.07275, 2017
1042017
Unsupervised learning of object landmarks by factorized spatial embeddings
J Thewlis, H Bilen, A Vedaldi
International Conference on Computer Vision (ICCV), 2017
972017
Unsupervised object learning from dense equivariant image labelling
J Thewlis, H Bilen, A Vedaldi
Advances in Neural Information Processing Systems (NIPS), 2017
72*2017
Integrated perception with recurrent multi-task neural networks
H Bilen, A Vedaldi
Advances in Neural Information Processing Systems, 2016
65*2016
idlg: Improved deep leakage from gradients
B Zhao, KR Mopuri, H Bilen
arXiv preprint arXiv:2001.02610, 2020
492020
Object and action classification with latent window parameters
H Bilen, VP Namboodiri, LJ Van Gool
International Journal of Computer Vision 106 (3), 237-251, 2014
322014
Self-supervised learning of interpretable keypoints from unlabelled videos
T Jakab, A Gupta, H Bilen, A Vedaldi
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
27*2020
Unsupervised learning of landmarks by descriptor vector exchange
J Thewlis, S Albanie, H Bilen, A Vedaldi
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019
272019
Object and Action Classification with Latent Variables
H Bilen, VP Namboodiri, L Van Gool
The British Machine Vision Conference, 2011
262011
Micromanipulation using a microassembly workstation with vision and force sensing
H Bilen, M Unel
International Conference on Intelligent Computing, 1164-1172, 2008
262008
Developing robust vision modules for microsystems applications
H Bilen, MA Hocaoglu, M Unel, A Sabanovic
Machine Vision and Applications, 1-18, 2010
182010
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Artículos 1–20