Hakan Bilen

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Andrea VedaldiUniversity of OxfordVerified email at robots.ox.ac.uk
Basura FernandoScientist at A*STAR SingaporeVerified email at ihpc.a-star.edu.sg
Efstratios GavvesAssociate Professor at University of AmsterdamVerified email at uva.nl
Bo ZhaoBAAIVerified email at pku.edu.cn
Konda Reddy MopuriIndian Institute of Technology HyderabadVerified email at ai.iith.ac.in
Wei-Hong LiSchool of Informatics, University of EdinburghVerified email at ed.ac.uk
Sylvestre-Alvise RebuffiDeepMindVerified email at deepmind.com
James ThewlisUnitary LtdVerified email at robots.ox.ac.uk
Tomas JakabPhD Student, VGG, University of OxfordVerified email at robots.ox.ac.uk
Stephen GouldProfessor at Australian National University | Scholar at AmazonVerified email at anu.edu.au
Ankush GuptaDeepMind, OxfordVerified email at robots.ox.ac.uk
Tinne TuytelaarsKU Leuven - PSI, BelgiumVerified email at esat.kuleuven.be
Marco PedersoliAssociate professor, École de technologie supérieure, Montréal, Québec, CanadaVerified email at etsmtl.ca
Lucas DeeckeUniversity of EdinburghVerified email at ed.ac.uk
Vinay P. NamboodiriDepartment of Computer Science, University of BathVerified email at bath.ac.uk
Luc Van Goolprofessor computer vision ETH Zurich,KU Leuven,INSAIT,Head Toyota Lab TRACE @KUL&ETHVerified email at ethz.ch
Xialei Liu 刘夏雷Associate Professor, Nankai UniversityVerified email at nankai.edu.cn
Mustafa UnelSabanci UniversityVerified email at sabanciuniv.edu
Frank KellerUniversity of EdinburghVerified email at inf.ed.ac.uk
Timothy M. HospedalesProfessor, University of Edinburgh; Samsung AI ResearchVerified email at ed.ac.uk

Hakan Bilen

School of Informatics, University of Edinburgh

Verified email at ed.ac.uk - Homepage

Computer Vision Machine Learning


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Weakly Supervised Deep Detection Networks H Bilen, A Vedaldi Conference on Computer Vision and Pattern Recognition (CVPR), 2016	778	2016
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	647	2016
Learning multiple visual domains with residual adapters SA Rebuffi, H Bilen, A Vedaldi Conference on Neural Information Processing Systems (NIPS), 2017	619	2017
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	462	2017
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	313	2018
idlg: Improved deep leakage from gradients B Zhao, KR Mopuri, H Bilen arXiv preprint arXiv:2001.02610, 2020	302	2020
Action recognition with dynamic image networks H Bilen, B Fernando, E Gavves, A Vedaldi IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2017	240	2017
Weakly Supervised Object Detection with Convex Clustering H Bilen, M Pedersoli, T Tuytelaars Conference on Computer Vision and Pattern Recognition, 2015	234	2015
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	220	2018
Weakly Supervised Object Detection with Posterior Regularization H Bilen, M Pedersoli, T Tuytelaars The British Machine Vision Conference, 2014	164	2014
Universal representations: The missing link between faces, text, planktons, and cat breeds H Bilen, A Vedaldi arXiv preprint arXiv:1701.07275, 2017	149	2017
Unsupervised learning of object landmarks by factorized spatial embeddings J Thewlis, H Bilen, A Vedaldi International Conference on Computer Vision (ICCV), 2017	146	2017
Dataset condensation with gradient matching B Zhao, KR Mopuri, H Bilen arXiv preprint arXiv:2006.05929, 2020	135	2020
Unsupervised object learning from dense equivariant image labelling J Thewlis, H Bilen, A Vedaldi Advances in Neural Information Processing Systems (NIPS), 2017	94*	2017
Integrated perception with recurrent multi-task neural networks H Bilen, A Vedaldi Advances in Neural Information Processing Systems, 2016	92	2016
Dataset Condensation with Differentiable Siamese Augmentation B Zhao, H Bilen International Conference on Machine Learning (ICML), 2021	81	2021
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	79*	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	63	2019
Dataset condensation with distribution matching B Zhao, H Bilen Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2023	46	2023
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	43	2022

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