Jasper R. R. Uijlings

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Theo GeversComputer Vision Lab, University of Amsterdam (UvA); 3DUniversum; SightcorpVerified email at uva.nl
Koen van de SandeUniversity of AmsterdamVerified email at uva.nl
Jan-Mark GeusebroekAssistant Professor, University of AmsterdamVerified email at uva.nl
Muhammad Atif TahirNational University of Computer and Emerging Sciences, Karachi CampusVerified email at nu.edu.pk
Krystian MikolajczykProfessor, Imperial College LondonVerified email at imperial.ac.uk
Cees G. M. SnoekProfessor of Computer Science, University of AmsterdamVerified email at uva.nl
Victoria YanulevskayaDepartment of Information Engineering and Computer Scence, University of Trento, ItalyVerified email at disi.unitn.it
Xirong Li (李锡荣)Associate Professor of CS, Renmin University of ChinaVerified email at ruc.edu.cn
Dennis KoelmaUniversity of AmsterdamVerified email at uva.nl
Remko SchaEmeritus Professor of Computational Linguistics, University of AmsterdamVerified email at uva.nl
marcel worringFull Professor, University of AmsterdamVerified email at uva.nl
Ork de RooijUniversity of AmsterdamVerified email at uva.nl
Jan van GemertComputer Vision Lab, Delft University of TechnologyVerified email at tudelft.nl
Bogdan IonescuPolitehnica University of BucharestVerified email at upb.ro
Feiping NieOPTIMALVerified email at mails.tsinghua.edu.cn
Yi YangUniversity of Technology SydneyVerified email at uts.edu.au
Elia BruniUniversity of OsnabrückVerified email at uni-osnabrueck.de
Bouke HuurninkUniversity of AmsterdamVerified email at bouke.eu
Negar RostamzadehResearch Scientist at Google BrainVerified email at google.com
Alex HauptmannCarnegie Mellon UniversityVerified email at cs.cmu.edu

Jasper R. R. Uijlings

Researcher at the University of Edinburgh

Verified email at disi.unitn.it - Homepage

Object Recognition Segmentation Machine Learning


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Selective search for object recognition JRR Uijlings, KEA Van De Sande, T Gevers, AWM Smeulders International journal of computer vision 104 (2), 154-171, 2013	5554	2013
Segmentation as selective search for object recognition KEA Van de Sande, JRR Uijlings, T Gevers, AWM Smeulders 2011 international conference on computer vision, 1879-1886, 2011	824	2011
The open images dataset v4 A Kuznetsova, H Rom, N Alldrin, J Uijlings, I Krasin, J Pont-Tuset, ... International Journal of Computer Vision 128 (7), 1956-1981, 2020	724	2020
Coco-stuff: Thing and stuff classes in context H Caesar, J Uijlings, V Ferrari Proceedings of the IEEE conference on computer vision and pattern …, 2018	440	2018
The MediaMill TRECVID 2006 semantic video search engine CGM Snoek, KEA van de Sande, O de Rooij, B Huurnink, JC van Gemert, ... TRECVid, 277-290, 2006	428	2006
Openimages: A public dataset for large-scale multi-label and multi-class image classification I Krasin, T Duerig, N Alldrin, V Ferrari, S Abu-El-Haija, A Kuznetsova, ... Dataset available from https://github. com/openimages 2 (3), 18, 2017	394	2017
Real-time visual concept classification JRR Uijlings, AWM Smeulders, RJH Scha IEEE Transactions on Multimedia 12 (7), 665-681, 2010	186	2010
Web image annotation via subspace-sparsity collaborated feature selection Z Ma, F Nie, Y Yang, JRR Uijlings, N Sebe IEEE Transactions on Multimedia 14 (4), 1021-1030, 2012	174	2012
Extreme clicking for efficient object annotation DP Papadopoulos, JRR Uijlings, F Keller, V Ferrari Proceedings of the IEEE international conference on computer vision, 4930-4939, 2017	145	2017
Real-time bag of words, approximately JRR Uijlings, AWM Smeulders, RJH Scha Proceedings of the ACM international Conference on Image and Video Retrieval …, 2009	132	2009
Discriminating joint feature analysis for multimedia data understanding Z Ma, F Nie, Y Yang, JRR Uijlings, N Sebe, AG Hauptmann IEEE Transactions on Multimedia 14 (6), 1662-1672, 2012	130	2012
We don't need no bounding-boxes: Training object class detectors using only human verification DP Papadopoulos, JRR Uijlings, F Keller, V Ferrari Proceedings of the IEEE conference on computer vision and pattern …, 2016	115	2016
Video classification with densely extracted hog/hof/mbh features: an evaluation of the accuracy/computational efficiency trade-off J Uijlings, IC Duta, E Sangineto, N Sebe International Journal of Multimedia Information Retrieval 4 (1), 33-44, 2015	98	2015
In the eye of the beholder: employing statistical analysis and eye tracking for analyzing abstract paintings V Yanulevskaya, J Uijlings, E Bruni, A Sartori, E Zamboni, F Bacci, ... Proceedings of the 20th ACM international conference on multimedia, 349-358, 2012	96	2012
Training object class detectors with click supervision DP Papadopoulos, JRR Uijlings, F Keller, V Ferrari Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017	70	2017
What is the spatial extent of an object? JRR Uijlings, AWM Smeulders, RJH Scha 2009 IEEE Conference on Computer Vision and Pattern Recognition, 770-777, 2009	67	2009
Exploiting the entire feature space with sparsity for automatic image annotation Z Ma, Y Yang, F Nie, J Uijlings, N Sebe Proceedings of the 19th ACM international conference on Multimedia, 283-292, 2011	66	2011
Region-based semantic segmentation with end-to-end training H Caesar, J Uijlings, V Ferrari European Conference on Computer Vision, 381-397, 2016	64	2016
The devil is in the decoder Z Wojna, V Ferrari, S Guadarrama, N Silberman, LC Chen, A Fathi, ... British Machine Vision Conference 2017, BMVC 2017, 1-13, 2017	61	2017
Distributional semantics with eyes: Using image analysis to improve computational representations of word meaning E Bruni, J Uijlings, M Baroni, N Sebe Proceedings of the 20th ACM international conference on Multimedia, 1219-1228, 2012	61	2012

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