| 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 | 885 | 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), 2663-2672, 2017 | 600* | 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 | 344 | 2020 |
| 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 | 230 | 2017 |
| You only need adversarial supervision for semantic image synthesis V Sushko, E Schönfeld, D Zhang, J Gall, B Schiele, A Khoreva International Conference on Learning Representations (ICLR) 2021, 2020 | 178 | 2020 |
| Lucid data dreaming for object tracking A Khoreva, R Benenson, E Ilg, T Brox, B Schiele The DAVIS Challenge on Video Object Segmentation, 2017 | 174 | 2017 |
| Video object segmentation with language referring expressions A Khoreva, A Rohrbach, B Schiele Computer Vision–ACCV 2018: 14th Asian Conference on Computer Vision, Perth …, 2019 | 167 | 2019 |
| 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 | 136 | 2019 |
| Learning to refine human pose estimation M Fieraru, A Khoreva, L Pishchulin, B Schiele Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 132 | 2018 |
| Learning video object segmentation from static images A Khoreva, F Perazzi, R Benenson, B Schiele, A Sorkine-Hornung arXiv preprint arXiv:1612.02646, 2016 | 88 | 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 | 83 | 2015 |
| 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 | 65 | 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 | 52 | 2016 |
| Grid saliency for context explanations of semantic segmentation L Hoyer, M Munoz, P Katiyar, A Khoreva, V Fischer Advances in neural information processing systems 32, 2019 | 50 | 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 | 36 | 2017 |
| Lucid data dreaming for multiple object tracking A Khoreva, R Benenson, E Ilg, T Brox, B Schiele arXiv preprint arXiv:1703.09554, 2017 | 33 | 2017 |
| 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 | 27 | 2022 |
| Progressive augmentation of gans D Zhang, A Khoreva Advances in Neural Information Processing Systems 32, 2019 | 27 | 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 | 27 | 2014 |
| PA-GAN: Improving GAN training by progressive augmentation D Zhang, A Khoreva | 23 | 2018 |
Bernt SchieleProfessor, Max Planck Institute for Informatics, Saarland University, Saarland Informatics Campus在 mpi-inf.mpg.de 的电子邮件经过验证
