Anna Khoreva - Google Scholar Citations

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	All	Since 2014
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Bernt SchieleProfessor, Max Planck Institute for Informatics, Saarland Informatics Campus, Saarland UniversityVerified email at mpi-inf.mpg.de
Rodrigo BenensonResearch scientist at GoogleVerified email at google.com
Matthias HeinProfessor of Computer Science, University of TuebingenVerified email at uni-tuebingen.de
Fabio GalassoHead of the Computer Vision Department, OSRAM R&DVerified email at osram.com
Eddy IlgUniversity of FreiburgVerified email at eddy-ilg.net
Jan HosangGoogleVerified email at google.com
Federico PerazziResearch Scientist at AdobeVerified email at adobe.com
Alexander Sorkine-HornungOculusVerified email at sorkine-hornung.com
Thomas BroxProfessor of Computer Science, University of FreiburgVerified email at cs.uni-freiburg.de
Seong Joon OhLINE Plus (Naver) Clova MLVerified email at linecorp.com
Zeynep AkataProfessor of Computer Science, University of TübingenVerified email at uni-tuebingen.de
Mario FritzCISPA Helmholtz Center for Information Security, Saarland Informatics CampusVerified email at cispa.saarland
Mihai FieraruInstitute of Mathematics of the Romanian AcademyVerified email at imar.ro
Mohamed OmranMax Planck Institute for InformaticsVerified email at mpi-inf.mpg.de
Anna RohrbachResearch Scientist, University of California, BerkeleyVerified email at berkeley.edu
Alexander TashlinskiiHead of Radio Engineering department, Ulyanovsk State Technical UniversityVerified email at ulstu.ru
Leonid PishchulinAmazon GOVerified email at mpi-inf.mpg.de
Volker FischerResearch Manager EML European Media Laboratory GmbHVerified email at eml.org
Lukas HoyerETH ZürichVerified email at student.ethz.ch
Prateek KatiyarResearch Scientist at Bosch Center for Artificial IntelligenceVerified email at de.bosch.com

Anna Khoreva

Research Scientist at Bosch Center for Artificial Intelligence

Verified email at bosch.com

Computer Vision Machine Learning


Title	Cited by	Year
Learning video object segmentation from static images A Khoreva, F Perazzi, R Benenson, B Schiele, A Sorkine-Hornung 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2 (7), 2017	170*	2017
Simple does it: Weakly supervised instance and semantic segmentation A Khoreva, R Benenson, J Hosang, M Hein, B Schiele 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017	140	2017
Lucid Data Dreaming for Video Object Segmentation A Khoreva, R Benenson, E Ilg, T Brox, B Schiele International Journal of Computer Vision (IJCV), 2019	77*	2019
Exploiting saliency for object segmentation from image level labels S Joon Oh, R Benenson, A Khoreva, Z Akata, M Fritz, B Schiele 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 4410 …, 2017	64*	2017
Classifier based graph construction for video segmentation A Khoreva, F Galasso, M Hein, B Schiele 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 951-960, 2015	49	2015
Weakly Supervised Object Boundaries A Khoreva, R Benenson, M Omran, M Hein, B Schiele 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 183-192, 2016	32	2016
Learning must-link constraints for video segmentation based on spectral clustering A Khoreva, F Galasso, M Hein, B Schiele German Conference on Pattern Recognition, 701-712, 2014	24	2014
Learning to Refine Human Pose Estimation M Fieraru, A Khoreva, L Pishchulin, B Schiele 2018 IEEE Conference on Computer Vision and Pattern Recognition (CVPR …, 2018	16	2018
Improved image boundaries for better video segmentation A Khoreva, R Benenson, F Galasso, M Hein, B Schiele European Conference on Computer Vision, 773-788, 2016	15	2016
Video Object Segmentation with Language Referring Expressions A Khoreva, A Rohrbach, B Schiele Asian Conference on Computer Vision (ACCV), 2018	13	2018
Finding the pseudogradient of the objective function in procedures for estimation of interframe deformations of images AM Horeva, AG Tashlinskii, LS Birtimirov Pattern Recognition and Image Analysis 23 (4), 440-444, 2013	3	2013
Short-Term Prediction and Multi-Camera Fusion on Semantic Grids L Hoyer, P Kesper, A Khoreva, V Fischer ICCV Workshop on Computer Vision for Road Scene Understanding and Autonomous …, 2019	2	2019
Choice of finite differences in finding the goal function gradient in the estimation procedures of interframe image deformations AG Tashlinskii, AM Horeva Pattern Recognition and Image Analysis 21 (2), 343-346, 2011	2	2011
Grid Saliency for Context Explanations of Semantic Segmentation L Hoyer, M Munoz, P Katiyar, A Khoreva, V Fischer Neural Information Processing Systems (NeurIPS), 2019		2019
Progressive Augmentation of GANs D Zhang, A Khoreva Neural Information Processing Systems (NeurIPS), 2019		2019
Learning to Track Humans in Videos M Fieraru, B Schiele Universität des Saarlandes Saarbrücken, 2017		2017
Learning to segment in images and videos with different forms of supervision A Khoreva Saarländische Universitäts-und Landesbibliothek, 2017		2017
Video Segmentation with Graph Cuts A Khoreva, B Schiele Universität des Saarlandes Saarbrücken, 2014		2014
Optimization of the sampling scheme for estimating geometrical interframe image deformations AG Tashlinskii, AM Khoreva Pattern Recognition and Image Analysis 19 (3), 528-533, 2009		2009

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