Hakan Bilen
Hakan Bilen
School of Informatics, University of Edinburgh
Verified email at ed.ac.uk - Homepage
Title
Cited by
Cited by
Year
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
4372016
Weakly Supervised Deep Detection Networks
H Bilen, A Vedaldi
Conference on Computer Vision and Pattern Recognition (CVPR), 2016
4232016
Learning multiple visual domains with residual adapters
SA Rebuffi, H Bilen, A Vedaldi
Conference on Neural Information Processing Systems (NIPS), 2017
2122017
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
1892017
Weakly Supervised Object Detection with Convex Clustering
H Bilen, M Pedersoli, T Tuytelaars
Conference on Computer Vision and Pattern Recognition, 2015
1642015
Weakly Supervised Object Detection with Posterior Regularization
H Bilen, M Pedersoli, T Tuytelaars
The British Machine Vision Conference, 2014
1262014
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
1232018
Action recognition with dynamic image networks
H Bilen, B Fernando, E Gavves, A Vedaldi
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2017
1172017
Universal representations: The missing link between faces, text, planktons, and cat breeds
H Bilen, A Vedaldi
arXiv preprint arXiv:1701.07275, 2017
822017
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
78*2018
Unsupervised learning of object landmarks by factorized spatial embeddings
J Thewlis, H Bilen, A Vedaldi
International Conference on Computer Vision (ICCV), 2017
782017
Unsupervised object learning from dense equivariant image labelling
J Thewlis, H Bilen, A Vedaldi
Advances in Neural Information Processing Systems (NIPS), 2017
58*2017
Integrated perception with recurrent multi-task neural networks
H Bilen, A Vedaldi
Advances in Neural Information Processing Systems, 2016
492016
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
302014
Micromanipulation using a microassembly workstation with vision and force sensing
H Bilen, M Unel
International Conference on Intelligent Computing, 1164-1172, 2008
272008
Object and Action Classification with Latent Variables
H Bilen, VP Namboodiri, L Van Gool
The British Machine Vision Conference, 2011
262011
Developing robust vision modules for microsystems applications
H Bilen, MA Hocaoglu, M Unel, A Sabanovic
Machine Vision and Applications, 1-18, 2010
182010
iDLG: Improved Deep Leakage from Gradients
B Zhao, KR Mopuri, H Bilen
arXiv preprint arXiv:2001.02610, 2020
142020
Few‐shot Learning of Homogeneous Human Locomotion Styles
I Mason, S Starke, H Zhang, H Bilen, T Komura
Computer Graphics Forum 37 (7), 143-153, 2018
142018
Unsupervised learning of landmarks by descriptor vector exchange
J Thewlis, S Albanie, H Bilen, A Vedaldi
Proceedings of the IEEE International Conference on Computer Vision, 6361-6371, 2019
132019
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