Anna Khoreva

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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 TübingenVerified email at uni-tuebingen.de
Dan ZhangResearch Scientist at Bosch Center for Artificial Intelligence, Robert Bosch GmbHVerified email at bosch.com
Edgar SchönfeldResearch Scientist, Meta Reality LabsVerified email at meta.com
Vadim SushkoPhD student at Bosch Center for Artificial IntelligenceVerified email at de.bosch.com
Juergen GallUniversity of BonnVerified email at iai.uni-bonn.de
Alexander Sorkine-HornungMetaVerified email at sorkine-hornung.com
Jan HosangGoogleVerified email at google.com
Federico PerazziBending SpoonsVerified email at bendingspoons.com
Thomas BroxUniversity of Freiburg and AmazonVerified email at cs.uni-freiburg.de
Eddy IlgProfessor at Saarland UniversityVerified email at cs.uni-saarland.de
Seong Joon OhUniversity of TübingenVerified email at uni-tuebingen.de
Zeynep AkataProfessor of Computer Science, University of TübingenVerified email at uni-tuebingen.de
Mario FritzFaculty CISPA Helmholtz Center for Information Security; Professor Saarland UniversityVerified email at cispa.de
Fabio GalassoSapienza University of RomeVerified email at uniroma1.it
Anna RohrbachResearch Scientist, University of California, BerkeleyVerified email at berkeley.edu
Prateek KatiyarNovartisVerified email at novartis.com
Lukas HoyerETH ZürichVerified email at student.ethz.ch
Leonid PishchulinAmazonVerified email at amazon.com

Anna Khoreva

Research Group Leader at Bosch Center for Artificial Intelligence

Verified email at bosch.com

Computer Vision Machine Learning Deep Learning Artificial Intelligence


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Simple does it: Weakly supervised instance and semantic segmentation A Khoreva, R Benenson, J Hosang, M Hein, B Schiele IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017	677	2017
Learning video object segmentation from static images A Khoreva, F Perazzi, R Benenson, B Schiele, A Sorkine-Hornung IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2 (7), 2017	474*	2017
A U-Net Based Discriminator for Generative Adversarial Networks E Schönfeld, B Schiele, A Khoreva IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020	179	2020
Exploiting saliency for object segmentation from image level labels SJ Oh, R Benenson, A Khoreva, Z Akata, M Fritz, B Schiele 2017 IEEE conference on computer vision and pattern recognition (CVPR), 5038 …, 2017	179	2017
Lucid data dreaming for object tracking A Khoreva, R Benenson, E Ilg, T Brox, B Schiele The DAVIS Challenge on Video Object Segmentation, 2017	159	2017
Lucid data dreaming for video object segmentation A Khoreva, R Benenson, E Ilg, T Brox, B Schiele International Journal of Computer Vision 127 (9), 1175-1197, 2019	106	2019
Learning to Refine Human Pose Estimation M Fieraru, A Khoreva, L Pishchulin, B Schiele IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops …, 2018	99	2018
Video Object Segmentation with Language Referring Expressions A Khoreva, A Rohrbach, B Schiele Asian Conference on Computer Vision (ACCV), 2018	87	2018
Learning video object segmentation from static images A Khoreva, F Perazzi, R Benenson, B Schiele, A Sorkine-Hornung arXiv preprint arXiv:1612.02646, 2016	78	2016
You Only Need Adversarial Supervision for Semantic Image Synthesis E Schönfeld, V Sushko, D Zhang, J Gall, B Schiele, A Khoreva International Conference on Learning Representations, 2021	75*	2021
Classifier based graph construction for video segmentation A Khoreva, F Galasso, M Hein, B Schiele IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 951-960, 2015	73	2015
Weakly Supervised Object Boundaries A Khoreva, R Benenson, M Omran, M Hein, B Schiele IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 183-192, 2016	52	2016
Lucid data dreaming for multiple object tracking A Khoreva, R Benenson, E Ilg, T Brox, B Schiele arXiv preprint arXiv:1703.09554, 2017	33	2017
One-shot gan: Learning to generate samples from single images and videos V Sushko, J Gall, A Khoreva Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021	31	2021
Progressive Augmentation of GANs D Zhang, A Khoreva Neural Information Processing Systems (NeurIPS), 2019	31*	2019
Exploiting saliency for object segmentation from image level labels S Joon Oh, R Benenson, A Khoreva, Z Akata, M Fritz, B Schiele IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 4410-4419, 2017	30	2017
Learning must-link constraints for video segmentation based on spectral clustering A Khoreva, F Galasso, M Hein, B Schiele Pattern Recognition: 36th German Conference, GCPR 2014, Münster, Germany …, 2014	28	2014
Grid Saliency for Context Explanations of Semantic Segmentation L Hoyer, M Munoz, P Katiyar, A Khoreva, V Fischer Neural Information Processing Systems (NeurIPS), 2019	26	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	17*	2011
Improved image boundaries for better video segmentation A Khoreva, R Benenson, F Galasso, M Hein, B Schiele Computer Vision–ECCV 2016 Workshops: Amsterdam, The Netherlands, October 8 …, 2016	16	2016

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