| 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 | 779 | 2017 |
| 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 | 532* | 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 | 257 | 2020 |
| 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 | 233 | 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 | 152 | 2017 |
| 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 | 129* | 2021 |
| Video Object Segmentation with Language Referring Expressions A Khoreva, A Rohrbach, B Schiele Asian Conference on Computer Vision (ACCV), 2018 | 126 | 2018 |
| 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 | 121 | 2018 |
| 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 | 120 | 2019 |
| Learning video object segmentation from static images A Khoreva, F Perazzi, R Benenson, B Schiele, A Sorkine-Hornung arXiv preprint arXiv:1612.02646, 2016 | 81 | 2016 |
| 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 | 76 | 2015 |
| 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 | 51 | 2016 |
| 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 | 50 | 2021 |
| Progressive Augmentation of GANs D Zhang, A Khoreva Neural Information Processing Systems (NeurIPS), 2019 | 40* | 2019 |
| Lucid data dreaming for multiple object tracking A Khoreva, R Benenson, E Ilg, T Brox, B Schiele arXiv preprint arXiv:1703.09554, 2017 | 39 | 2017 |
| Grid Saliency for Context Explanations of Semantic Segmentation L Hoyer, M Munoz, P Katiyar, A Khoreva, V Fischer Neural Information Processing Systems (NeurIPS), 2019 | 32 | 2019 |
| 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 | 26 | 2014 |
| 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 | 17 | 2016 |
| 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 |
| OASIS: only adversarial supervision for semantic image synthesis V Sushko, E Schönfeld, D Zhang, J Gall, B Schiele, A Khoreva International Journal of Computer Vision 130 (12), 2903-2923, 2022 | 12 | 2022 |
Bernt SchieleProfessor, Max Planck Institute for Informatics, Saarland Informatics Campus, Saarland University確認したメール アドレス: mpi-inf.mpg.de
