Hakan Bilen

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Andrea VedaldiUniversity of OxfordVerified email at robots.ox.ac.uk
Basura FernandoScientist at A*STAR Singapore, Assistant Professor at NTUVerified email at ihpc.a-star.edu.sg
Bo ZhaoBAAIVerified email at pku.edu.cn
Efstratios GavvesAssociate Professor at University of AmsterdamVerified email at uva.nl
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 RebuffiGoogle DeepMindVerified email at deepmind.com
Tomas JakabPhD Student, VGG, University of OxfordVerified email at robots.ox.ac.uk
James ThewlisUnitary LtdVerified email at robots.ox.ac.uk
Stephen GouldProfessor at Australian National UniversityVerified email at anu.edu.au
Ankush GuptaGoogle DeepMind, Oxford, BerkeleyVerified email at robots.ox.ac.uk
Xialei Liu 刘夏雷Associate Professor, Nankai UniversityVerified email at nankai.edu.cn
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
Ryota WadaUniversity of TokyoVerified email at k.u-tokyo.ac.jp
Vinay P. NamboodiriDepartment of Computer Science, University of BathVerified email at bath.ac.uk
Luc Van Goolprofessor computer vision ETHZ,KU Leuven,INSAIT,Head Toyota Lab TRACE @KUL&ETHVerified email at insait.ai
Frank KellerUniversity of EdinburghVerified email at inf.ed.ac.uk
Arushi GoelResearch Scientist, NvidiaVerified email at sms.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	888	2016
Learning multiple visual domains with residual adapters SA Rebuffi, H Bilen, A Vedaldi Conference on Neural Information Processing Systems (NIPS), 2017	834	2017
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	685	2016
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	510	2017
idlg: Improved deep leakage from gradients B Zhao, KR Mopuri, H Bilen arXiv preprint arXiv:2001.02610, 2020	498	2020
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	387	2018
Dataset condensation with gradient matching B Zhao, KR Mopuri, H Bilen arXiv preprint arXiv:2006.05929, 2020	309	2020
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	266	2018
Action recognition with dynamic image networks H Bilen, B Fernando, E Gavves, A Vedaldi IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2017	263	2017
Weakly Supervised Object Detection with Convex Clustering H Bilen, M Pedersoli, T Tuytelaars Conference on Computer Vision and Pattern Recognition, 2015	247	2015
Dataset Condensation with Differentiable Siamese Augmentation B Zhao, H Bilen International Conference on Machine Learning (ICML), 2021	187	2021
Universal representations: The missing link between faces, text, planktons, and cat breeds H Bilen, A Vedaldi arXiv preprint arXiv:1701.07275, 2017	170	2017
Dataset condensation with distribution matching B Zhao, H Bilen Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2023	168	2023
Weakly Supervised Object Detection with Posterior Regularization H Bilen, M Pedersoli, T Tuytelaars The British Machine Vision Conference, 2014	163	2014
Unsupervised learning of object landmarks by factorized spatial embeddings J Thewlis, H Bilen, A Vedaldi International Conference on Computer Vision (ICCV), 2017	156	2017
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	136	2022
Integrated perception with recurrent multi-task neural networks H Bilen, A Vedaldi Advances in Neural Information Processing Systems, 2016	108	2016
Unsupervised object learning from dense equivariant image labelling J Thewlis, H Bilen, A Vedaldi Advances in Neural Information Processing Systems (NIPS), 2017	103*	2017
Cross-domain Few-shot Learning with Task-specific Adapters WH Li, X Liu, H Bilen IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022	102*	2022
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	96*	2020

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