Anna Khoreva
Anna Khoreva
Research Group Leader 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
3942017
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
369*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
141*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
1072017
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
652015
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
622018
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
522019
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
512020
Video Object Segmentation with Language Referring Expressions
A Khoreva, A Rohrbach, B Schiele
Asian Conference on Computer Vision (ACCV), 2018
452018
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
442016
Lucid data dreaming for multiple object tracking
A Khoreva, R Benenson, E Ilg, T Brox, B Schiele
arXiv preprint arXiv:1703.09554, 2017
402017
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
292014
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
132019
Grid Saliency for Context Explanations of Semantic Segmentation
L Hoyer, M Munoz, P Katiyar, A Khoreva, V Fischer
Neural Information Processing Systems (NeurIPS), 2019
122019
Уменьшение вычислительных затрат при идентификации местоположения фрагментов на больших изображениях
АГ Ташлинский, ИН Кавеев, АМ Хорева
Инфокоммуникационные технологии 8 (3), 73-76, 2010
72010
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
You Only Need Adversarial Supervision for Semantic Image Synthesis
E Schönfeld, V Sushko, D Zhang, J Gall, B Schiele, A Khoreva
International Conference on Learning Representations, 2021
3*2021
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
22021
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