| Playing for benchmarks SR Richter, Z Hayder, V Koltun Proceedings of the IEEE international conference on computer vision, 2213-2222, 2017 | 560 | 2017 |
| Boundary-aware instance segmentation Z Hayder, X He, M Salzmann Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 168 | 2017 |
| Depth Estimation and Blur Removal from a Single Out-of-focus Image. S Anwar, Z Hayder, F Porikli BMVC 1, 2, 2017 | 44 | 2017 |
| Shape-aware instance segmentation Z Hayder, X He, M Salzmann arXiv preprint arXiv:1612.03129 2 (5), 7, 2016 | 36 | 2016 |
| Deblur and deep depth from single defocus image S Anwar, Z Hayder, F Porikli Machine vision and applications 32 (1), 34, 2021 | 27 | 2021 |
| 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 |
| 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 | 18 | 2016 |
| Topological deep learning: a review of an emerging paradigm A Zia, A Khamis, J Nichols, UB Tayab, Z Hayder, V Rolland, E Stone, ... Artificial Intelligence Review 57 (4), 77, 2024 | 10 | 2024 |
| Diff3dhpe: A diffusion model for 3d human pose estimation J Zhou, T Zhang, Z Hayder, L Petersson, M Harandi Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 9 | 2023 |
| Hyperbolic audio-visual zero-shot learning J Hong, Z Hayder, J Han, P Fang, M Harandi, L Petersson Proceedings of the IEEE/CVF international conference on computer vision …, 2023 | 9 | 2023 |
| 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 | 9 | 2015 |
| RadioGalaxyNET: Dataset and novel computer vision algorithms for the detection of extended radio galaxies and infrared hosts N Gupta, Z Hayder, RP Norris, M Huynh, L Petersson Publications of the Astronomical Society of Australia 41, e001, 2024 | 7 | 2024 |
| Deep learning approaches for seizure video analysis: A review D Ahmedt-Aristizabal, MA Armin, Z Hayder, N Garcia-Cairasco, ... Epilepsy & Behavior 154, 109735, 2024 | 5 | 2024 |
| Deep learning for morphological identification of extended radio galaxies using weak labels N Gupta, Z Hayder, RP Norris, M Huynh, L Petersson, XR Wang, ... Publications of the Astronomical Society of Australia 40, e044, 2023 | 5 | 2023 |
| DSGG: Dense Relation Transformer for an End-to-end Scene Graph Generation Z Hayder, X He Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 3 | 2024 |
| Playing for benchmarks, 2017 SR Richter, Z Hayder, V Koltun Cited on, 31, 0 | 2 | |
| Text-guided 3D Human Motion Generation with Keyframe-based Parallel Skip Transformer Z Geng, C Han, Z Hayder, J Liu, M Shah, A Mian arXiv preprint arXiv:2405.15439, 2024 | 1 | 2024 |
| RG-CAT: Detection pipeline and catalogue of radio galaxies in the EMU pilot survey N Gupta, RP Norris, Z Hayder, M Huynh, L Petersson, XR Wang, ... arXiv preprint arXiv:2403.14235, 2024 | 1 | 2024 |
| Backpropagation-free Network for 3D Test-time Adaptation Y Wang, A Cheraghian, Z Hayder, J Hong, S Ramasinghe, S Rahman, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 1 | 2024 |
| Deep Structured Models for Large Scale Object Co-detection and Segmentation Z Hayder The Australian National University, 2017 | 1 | 2017 |
Xuming HeShanghaiTech UniversityVerified email at shanghaitech.edu.cn
