Hakan Bilen
Hakan Bilen
School of Informatics, University of Edinburgh
Verified email at ed.ac.uk - Homepage
TitleCited byYear
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
3162016
Weakly Supervised Deep Detection Networks
H Bilen, A Vedaldi
Conference on Computer Vision and Pattern Recognition (CVPR), 2016
2712016
Weakly Supervised Object Detection with Convex Clustering
H Bilen, M Pedersoli, T Tuytelaars
Conference on Computer Vision and Pattern Recognition, 2015
1322015
Weakly Supervised Object Detection with Posterior Regularization
H Bilen, M Pedersoli, T Tuytelaars
The British Machine Vision Conference, 2014
1032014
Learning multiple visual domains with residual adapters
SA Rebuffi, H Bilen, A Vedaldi
Conference on Neural Information Processing Systems (NIPS), 2017
982017
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
832017
Action recognition with dynamic image networks
H Bilen, B Fernando, E Gavves, A Vedaldi
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2017
692017
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
582018
Unsupervised learning of object landmarks by factorized spatial embeddings
J Thewlis, H Bilen, A Vedaldi
International Conference on Computer Vision (ICCV), 2017
422017
Universal representations: The missing link between faces, text, planktons, and cat breeds
H Bilen, A Vedaldi
arXiv preprint arXiv:1701.07275, 2017
422017
Integrated perception with recurrent multi-task neural networks
H Bilen, A Vedaldi
Advances in Neural Information Processing Systems, 2016
362016
Unsupervised object learning from dense equivariant image labelling
J Thewlis, H Bilen, A Vedaldi
Advances in Neural Information Processing Systems (NIPS), 2017
34*2017
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
28*2018
Object and Action Classification with Latent Variables
H Bilen, VP Namboodiri, L Van Gool
The British Machine Vision Conference, 2011
272011
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 window parameters
H Bilen, VP Namboodiri, LJ Van Gool
International Journal of Computer Vision 106 (3), 237-251, 2014
252014
Developing robust vision modules for microsystems applications
H Bilen, MA Hocaoglu, M Unel, A Sabanovic
Machine Vision and Applications, 1-18, 2010
182010
Action recognition: A region based approach
H Bilen, VP Namboodiri, L Van Gool
2011 IEEE Workshop on Applications of Computer Vision (WACV), 294-300, 2011
142011
Novel parameter estimation schemes in microsystems
H Bilen, MA Hocaoglu, EA Baran, M Unel, D Gozuacik
2009 IEEE International Conference on Robotics and Automation, 2394-2399, 2009
142009
Researchdoom and cocodoom: Learning computer vision with games
A Mahendran, H Bilen, JF Henriques, A Vedaldi
arXiv preprint arXiv:1610.02431, 2016
132016
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Articles 1–20