Anna Khoreva

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Bernt SchieleProfessor, Max Planck Institute for Informatics, Saarland University, Saarland Informatics CampusVerified email at mpi-inf.mpg.de
Rodrigo BenensonResearch scientist at GoogleVerified email at google.com
Dan ZhangSenior Expert at Bosch Center for Artificial Intelligence, Robert Bosch GmbHVerified email at bosch.com
Edgar SchönfeldResearch Scientist at Meta GenAIVerified email at meta.com
Vadim SushkoApplied Scientist at AmazonVerified email at amazon.com
Matthias HeinProfessor of Computer Science, University of TübingenVerified email at uni-tuebingen.de
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 FreiburgVerified email at cs.uni-freiburg.de
Eddy IlgProfessor at Saarland UniversityVerified email at cs.uni-saarland.de
Yumeng LiBosch Center for Artificial IntelligenceVerified email at de.bosch.com
Zeynep AkataProfessor at TUM and Director at Helmholtz MunichVerified email at helmholtz-munich.de
Seong Joon OhUniversity of TübingenVerified email at uni-tuebingen.de
Mario FritzFaculty CISPA Helmholtz Center for Information Security; Professor Saarland UniversityVerified email at cispa.de
Prateek KatiyarNovartis Institutes for BioMedical Research, NovartisVerified email at novartis.com
Fabio GalassoSapienza University of RomeVerified email at uniroma1.it
Anna RohrbachProfessor, TU Darmstadt, GermanyVerified email at tu-darmstadt.de
Margret KeuperUniversity of MannheimVerified email at uni-mannheim.de

Anna Khoreva

Senior Research Manager at Bosch Center for Artificial Intelligence

Verified email at bosch.com

Generative AI Deep Learning Computer Vision


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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	917	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), 2663-2672, 2017	623*	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	365	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	234	2017
You only need adversarial supervision for semantic image synthesis V Sushko, E Schönfeld, D Zhang, J Gall, B Schiele, A Khoreva International Conference on Learning Representations (ICLR) 2021, 2020	191	2020
Video object segmentation with language referring expressions A Khoreva, A Rohrbach, B Schiele Computer Vision–ACCV 2018: 14th Asian Conference on Computer Vision, Perth …, 2019	183	2019
Lucid data dreaming for object tracking A Khoreva, R Benenson, E Ilg, T Brox, B Schiele The DAVIS Challenge on Video Object Segmentation, 2017	174	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	141	2019
Learning to refine human pose estimation M Fieraru, A Khoreva, L Pishchulin, B Schiele Proceedings of the IEEE conference on computer vision and pattern …, 2018	137	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	89	2016
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	84	2015
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	70	2021
Grid saliency for context explanations of semantic segmentation L Hoyer, M Munoz, P Katiyar, A Khoreva, V Fischer Advances in neural information processing systems 32, 2019	54	2019
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	53	2016
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	39	2017
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
OASIS: only adversarial supervision for semantic image synthesis V Sushko, E Schönfeld, D Zhang, J Gall, B Schiele, A Khoreva International Journal of Computer Vision 130 (12), 2903-2923, 2022	32	2022
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
Progressive augmentation of gans D Zhang, A Khoreva Advances in Neural Information Processing Systems 32, 2019	27	2019
PA-GAN: Improving GAN training by progressive augmentation D Zhang, A Khoreva	25	2018

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