Anna Khoreva
Anna Khoreva
Research Scientist at Bosch Center for Artificial Intelligence
Verified email at bosch.com
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
3582017
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
346*2017
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
129*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
1032017
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
622015
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
582018
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
432019
Lucid data dreaming for multiple object tracking
A Khoreva, R Benenson, E Ilg, T Brox, B Schiele
arXiv preprint arXiv:1703.09554, 2017
412017
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
402016
Video Object Segmentation with Language Referring Expressions
A Khoreva, A Rohrbach, B Schiele
Asian Conference on Computer Vision (ACCV), 2018
382018
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
282020
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
282014
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
162016
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
16*2011
Progressive Augmentation of GANs
D Zhang, A Khoreva
Neural Information Processing Systems (NeurIPS), 2019
11*2019
Grid Saliency for Context Explanations of Semantic Segmentation
L Hoyer, M Munoz, P Katiyar, A Khoreva, V Fischer
Neural Information Processing Systems (NeurIPS), 2019
102019
Уменьшение вычислительных затрат при идентификации местоположения фрагментов на больших изображениях
АГ Ташлинский, ИН Кавеев, АМ Хорева
Инфокоммуникационные технологии 8 (3), 73-76, 2010
62010
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
42019
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
22013
Оптимизация псевдоградиента в задаче оценивания межкадровых геометрических деформаций изображений
АГ Ташлинский, АМ Хорева, ОА Лазарева
Радиоэлектронная техника, 120-124, 2008
22008
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Articles 1–20