Anna Khoreva
Anna Khoreva
Research Scientist at Bosch Center for Artificial Intelligence
Verified email at bosch.com
TitleCited byYear
Learning video object segmentation from static images
F Perazzi, A Khoreva, R Benenson, B Schiele, A Sorkine-Hornung
2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2 (7), 2017
1462017
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
1252017
Lucid Data Dreaming for Video Object Segmentation
A Khoreva, R Benenson, E Ilg, T Brox, B Schiele
International Journal of Computer Vision (IJCV), 2019
62*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
58*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
482015
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
322016
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
232014
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
152016
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
112018
Video Object Segmentation with Language Referring Expressions
A Khoreva, A Rohrbach, B Schiele
Asian Conference on Computer Vision (ACCV), 2018
102018
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
32013
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
22011
Grid Saliency for Context Explanations of Semantic Segmentation
L Hoyer, M Munoz, P Katiyar, A Khoreva, V Fischer
arXiv preprint arXiv:1907.13054, 2019
2019
PA-GAN: Improving GAN Training by Progressive Augmentation
D Zhang, A Khoreva
arXiv preprint arXiv:1901.10422, 2019
2019
Short-Term Prediction and Multi-Camera Fusion on Semantic Grids
L Hoyer, P Kesper, A Khoreva, V Fischer
arXiv preprint arXiv:1903.08960, 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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