| Playing for benchmarks SR Richter, Z Hayder, V Koltun Proceedings of the IEEE International Conference on Computer Vision, 2213-2222, 2017 | 234 | 2017 |
| Boundary-aware instance segmentation Z Hayder, X He, M Salzmann Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017 | 122 | 2017 |
| Object co-detection via efficient inference in a fully-connected crf Z Hayder, M Salzmann, X He European Conference on Computer Vision, 330-345, 2014 | 22 | 2014 |
| Depth Estimation and Blur Removal from a Single Out-of-focus Image. S Anwar, Z Hayder, F Porikli BMVC 1, 2, 2017 | 20 | 2017 |
| Learning to co-generate object proposals with a deep structured network Z Hayder, X He, M Salzmann Proceedings of the IEEE conference on computer vision and pattern …, 2016 | 16 | 2016 |
| Structural kernel learning for large scale multiclass object co-detection Z Hayder, X He, M Salzmann 2015 IEEE International Conference on Computer Vision (ICCV), 2632-2640, 2015 | 10 | 2015 |
| Deblur and deep depth from single defocus image S Anwar, Z Hayder, F Porikli Machine Vision and Applications 32 (1), 1-13, 2021 | | 2021 |
| Deep Structured Models for Large Scale Object Co-detection and Segmentation Z Hayder The Australian National University, 2017 | | 2017 |
| Playing for Benchmarks V Koltun, S Richter, Z Hayder | | |
| Boundary-aware Instance Segmentation: Supplementary Material Z Hayder, X He, M Salzmann | | |
Mathieu SalzmannEPFLVerified email at epfl.ch
