Folgen
Anna Khoreva
Anna Khoreva
Research Group Leader at Bosch Center for Artificial Intelligence
Bestätigte E-Mail-Adresse bei bosch.com
Titel
Zitiert von
Zitiert von
Jahr
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
6782017
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
476*2017
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
1812020
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
1802017
Lucid data dreaming for object tracking
A Khoreva, R Benenson, E Ilg, T Brox, B Schiele
The DAVIS Challenge on Video Object Segmentation, 2017
1592017
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
1062019
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
1002018
Video Object Segmentation with Language Referring Expressions
A Khoreva, A Rohrbach, B Schiele
Asian Conference on Computer Vision (ACCV), 2018
882018
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
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
75*2021
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
732015
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
332017
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
312021
Progressive Augmentation of GANs
D Zhang, A Khoreva
Neural Information Processing Systems (NeurIPS), 2019
31*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
302017
Learning must-link constraints for video segmentation based on spectral clustering
A Khoreva, F Galasso, M Hein, B Schiele
Pattern Recognition: 36th German Conference, GCPR 2014, Münster, Germany …, 2014
282014
Grid Saliency for Context Explanations of Semantic Segmentation
L Hoyer, M Munoz, P Katiyar, A Khoreva, V Fischer
Neural Information Processing Systems (NeurIPS), 2019
262019
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
Computer Vision–ECCV 2016 Workshops: Amsterdam, The Netherlands, October 8 …, 2016
162016
Das System kann den Vorgang jetzt nicht ausführen. Versuchen Sie es später erneut.
Artikel 1–20