Anna Khoreva
Anna Khoreva
Research Scientist at Bosch Center for Artificial Intelligence
Verified email at bosch.com
Title
Cited by
Cited by
Year
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
296*2017
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
2692017
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
108*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
862017
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
65*2019
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
572015
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
432018
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
352016
Video Object Segmentation with Language Referring Expressions
A Khoreva, A Rohrbach, B Schiele
Asian Conference on Computer Vision (ACCV), 2018
292018
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
262014
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
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
52020
Уменьшение вычислительных затрат при идентификации местоположения фрагментов на больших изображениях
АГ Ташлинский, ИН Кавеев, АМ Хорева
Инфокоммуникационные технологии 8 (3), 73-76, 2010
52010
Progressive Augmentation of GANs
D Zhang, A Khoreva
Neural Information Processing Systems (NeurIPS), 2019
4*2019
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
32019
Grid Saliency for Context Explanations of Semantic Segmentation
L Hoyer, M Munoz, P Katiyar, A Khoreva, V Fischer
Neural Information Processing Systems (NeurIPS), 2019
32019
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
3D Noise and Adversarial Supervision Is All You Need for Multi-Modal Semantic Image Synthesis
V Sushko, E Schönfeld, D Zhang, J Gall, B Schiele, A Khoreva
European Conference on Computer Vision (ECCV) Workshops, 2020
2020
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