| Robust object detection under occlusion with context-aware compositionalnets A Wang*, Y Sun*, A Kortylewski, AL Yuille Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 132 | 2020 |
| Compositional convolutional neural networks: A robust and interpretable model for object recognition under occlusion A Kortylewski, Q Liu, A Wang, Y Sun, A Yuille International Journal of Computer Vision 129, 736-760, 2021 | 87 | 2021 |
| Robust instance segmentation through reasoning about multi-object occlusion X Yuan, A Kortylewski, Y Sun, A Yuille Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 48 | 2021 |
| Amodal Segmentation Through Out-of-Task and Out-of-Distribution Generalization With a Bayesian Model Y Sun, A Kortylewski, A Yuille Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 38* | 2022 |
| Dynamo-depth: fixing unsupervised depth estimation for dynamical scenes Y Sun, B Hariharan Advances in Neural Information Processing Systems 36, 2024 | 6 | 2024 |
| Learning to Detect and Segment Mobile Objects from Unlabeled Videos Y Sun, B Hariharan arXiv preprint arXiv:2405.14841, 2024 | | 2024 |
Adam KortylewskiResearch Group Leader, University of Freiburg and Max Planck Institute for InformaticsVerified email at cs.uni-freiburg.de
