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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
6472017
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
460*2017
Exploiting saliency for object segmentation from image level labels
SJ Oh, R Benenson, A Khoreva, Z Akata, M Fritz, B Schiele
2017 IEEE conference on computer vision and pattern recognition (CVPR), 5038 …, 2017
1742017
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
1632020
Lucid data dreaming for object tracking
A Khoreva, R Benenson, E Ilg, T Brox, B Schiele
The DAVIS Challenge on Video Object Segmentation, 2017
1522017
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
982018
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
952019
Video Object Segmentation with Language Referring Expressions
A Khoreva, A Rohrbach, B Schiele
Asian Conference on Computer Vision (ACCV), 2018
812018
Learning video object segmentation from static images
A Khoreva, F Perazzi, R Benenson, B Schiele, A Sorkine-Hornung
arXiv preprint arXiv:1612.02646, 2016
782016
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
712015
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
58*2021
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
522016
Lucid data dreaming for multiple object tracking
A Khoreva, R Benenson, E Ilg, T Brox, B Schiele
arXiv preprint arXiv:1703.09554, 2017
322017
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
Progressive Augmentation of GANs
D Zhang, A Khoreva
Neural Information Processing Systems (NeurIPS), 2019
28*2019
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
282017
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
242021
Grid Saliency for Context Explanations of Semantic Segmentation
L Hoyer, M Munoz, P Katiyar, A Khoreva, V Fischer
Neural Information Processing Systems (NeurIPS), 2019
232019
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
17*2011
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
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