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 ZhaoShanghai Jiao Tong UniversityVerified email at sjtu.edu.cn
Konda Reddy MopuriIndian Institute of Technology HyderabadVerified email at ai.iith.ac.in
Efstratios GavvesAssociate Professor at University of AmsterdamVerified email at uva.nl
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
Xialei Liu 刘夏雷Associate Professor, Nankai UniversityVerified email at nankai.edu.cn
Ankush GuptaGoogle DeepMind, Oxford, BerkeleyVerified 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
Frank KellerUniversity of EdinburghVerified email at inf.ed.ac.uk
Ryota WadaUniversity of TokyoVerified email at k.u-tokyo.ac.jp
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 INSAIT Sofia University, em. KU Leuven, em. ETHZ, Toyota Lab TRACEVerified email at insait.ai
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
Learning multiple visual domains with residual adapters SA Rebuffi, H Bilen, A Vedaldi Conference on Neural Information Processing Systems (NIPS), 2017	980	2017
Weakly Supervised Deep Detection Networks H Bilen, A Vedaldi Conference on Computer Vision and Pattern Recognition (CVPR), 2016	955	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	700	2016
idlg: Improved deep leakage from gradients B Zhao, KR Mopuri, H Bilen arXiv preprint arXiv:2001.02610, 2020	662	2020
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	542	2017
Dataset condensation with gradient matching B Zhao, KR Mopuri, H Bilen arXiv preprint arXiv:2006.05929, 2020	465	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	440	2018
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	290	2018
Dataset Condensation with Differentiable Siamese Augmentation B Zhao, H Bilen International Conference on Machine Learning (ICML), 2021	286	2021
Action recognition with dynamic image networks H Bilen, B Fernando, E Gavves, A Vedaldi IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2017	283	2017
Dataset condensation with distribution matching B Zhao, H Bilen Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2023	279	2023
Weakly Supervised Object Detection with Convex Clustering H Bilen, M Pedersoli, T Tuytelaars Conference on Computer Vision and Pattern Recognition, 2015	250	2015
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	220	2022
Universal representations: The missing link between faces, text, planktons, and cat breeds H Bilen, A Vedaldi arXiv preprint arXiv:1701.07275, 2017	173	2017
Unsupervised learning of object landmarks by factorized spatial embeddings J Thewlis, H Bilen, A Vedaldi International Conference on Computer Vision (ICCV), 2017	169	2017
Weakly Supervised Object Detection with Posterior Regularization H Bilen, M Pedersoli, T Tuytelaars The British Machine Vision Conference, 2014	164	2014
Renderdiffusion: Image diffusion for 3d reconstruction, inpainting and generation T Anciukevičius, Z Xu, M Fisher, P Henderson, H Bilen, NJ Mitra, ... Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2023	143	2023
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	141	2022
Integrated perception with recurrent multi-task neural networks H Bilen, A Vedaldi Advances in Neural Information Processing Systems, 2016	113	2016
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	108*	2020

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