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
3562016
Weakly Supervised Deep Detection Networks
H Bilen, A Vedaldi
Conference on Computer Vision and Pattern Recognition (CVPR), 2016
3062016
Weakly Supervised Object Detection with Convex Clustering
H Bilen, M Pedersoli, T Tuytelaars
Conference on Computer Vision and Pattern Recognition, 2015
1382015
Learning multiple visual domains with residual adapters
SA Rebuffi, H Bilen, A Vedaldi
Conference on Neural Information Processing Systems (NIPS), 2017
1202017
Weakly Supervised Object Detection with Posterior Regularization
H Bilen, M Pedersoli, T Tuytelaars
The British Machine Vision Conference, 2014
1082014
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
1012017
Action recognition with dynamic image networks
H Bilen, B Fernando, E Gavves, A Vedaldi
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2017
872017
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
692018
Universal representations: The missing link between faces, text, planktons, and cat breeds
H Bilen, A Vedaldi
arXiv preprint arXiv:1701.07275, 2017
512017
Unsupervised learning of object landmarks by factorized spatial embeddings
J Thewlis, H Bilen, A Vedaldi
International Conference on Computer Vision (ICCV), 2017
482017
Integrated perception with recurrent multi-task neural networks
H Bilen, A Vedaldi
Advances in Neural Information Processing Systems, 2016
412016
Unsupervised object learning from dense equivariant image labelling
J Thewlis, H Bilen, A Vedaldi
Advances in Neural Information Processing Systems (NIPS), 2017
39*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
35*2018
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
272014
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
172010
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
132011
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
132009
Researchdoom and cocodoom: Learning computer vision with games
A Mahendran, H Bilen, JF Henriques, A Vedaldi
arXiv preprint arXiv:1610.02431, 2016
122016
The system can't perform the operation now. Try again later.
Articles 1–20