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
A Khoreva, F Perazzi, R Benenson, B Schiele, A Sorkine-Hornung
2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2 (7), 2017
198*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
1682017
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
83*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
702017
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
532015
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
332016
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
29*2019
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
242014
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
202018
Video Object Segmentation with Language Referring Expressions
A Khoreva, A Rohrbach, B Schiele
Asian Conference on Computer Vision (ACCV), 2018
182018
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
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
14*2011
Уменьшение вычислительных затрат при идентификации местоположения фрагментов на больших изображениях
АГ Ташлинский, ИН Кавеев, АМ Хорева
Инфокоммуникационные технологии 8 (3), 73-76, 2010
32010
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
22019
Оптимизация псевдоградиента в задаче оценивания межкадровых геометрических деформаций изображений
АГ Ташлинский, АМ Хорева, ОА Лазарева
Радиоэлектронная техника, 120-124, 2008
22008
Progressive Augmentation of GANs
D Zhang, A Khoreva
Neural Information Processing Systems (NeurIPS), 2019
1*2019
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
12013
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
Learning to Track Humans in Videos
M Fieraru
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
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