| Varifocalnet: An iou-aware dense object detector H Zhang, Y Wang, F Dayoub, N Sunderhauf Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 858 | 2021 |
| Probabilistic object detection: Definition and evaluation D Hall, F Dayoub, J Skinner, H Zhang, D Miller, P Corke, G Carneiro, ... Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2020 | 148 | 2020 |
| Enhanced light–matter interactions in dielectric nanostructures via machine-learning approach L Xu, M Rahmani, Y Ma, DA Smirnova, KZ Kamali, F Deng, YK Chiang, ... Advanced Photonics 2 (2), 026003-026003, 2020 | 131 | 2020 |
| Swa object detection H Zhang, Y Wang, F Dayoub, N Sünderhauf arXiv preprint arXiv:2012.12645, 2020 | 36 | 2020 |
| Benchmarking Sampling-based Probabilistic Object Detectors. D Miller, N Sünderhauf, H Zhang, D Hall, F Dayoub CVPR Workshops 3, 6, 2019 | 32 | 2019 |
| Symphonize 3d semantic scene completion with contextual instance queries H Jiang, T Cheng, N Gao, H Zhang, T Lin, W Liu, X Wang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 28 | 2024 |
| Panopticdepth: A unified framework for depth-aware panoptic segmentation N Gao, F He, J Jia, Y Shan, H Zhang, X Zhao, K Huang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 20 | 2022 |
| The robotic vision scene understanding challenge D Hall, B Talbot, SR Bista, H Zhang, R Smith, F Dayoub, N Sünderhauf arXiv preprint arXiv:2009.05246, 2020 | 17 | 2020 |
| Inspro: Propagating instance query and proposal for online video instance segmentation F He, H Zhang, N Gao, J Jia, Y Shan, X Zhao, K Huang Advances in Neural Information Processing Systems 35, 19370-19383, 2022 | 14 | 2022 |
| Benchbot: Evaluating robotics research in photorealistic 3d simulation and on real robots B Talbot, D Hall, H Zhang, SR Bista, R Smith, F Dayoub, N Sünderhauf arXiv preprint arXiv:2008.00635, 2020 | 13 | 2020 |
| Deep free-form deformation network for object-mask registration H Zhang, X He Proceedings of the IEEE International Conference on Computer Vision, 4251-4259, 2017 | 12 | 2017 |
| Evaluating the impact of semantic segmentation and pose estimation on dense semantic SLAM SR Bista, D Hall, B Talbot, H Zhang, F Dayoub, N Sünderhauf 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2021 | 10 | 2021 |
| The probabilistic object detection challenge J Skinner, D Hall, H Zhang, F Dayoub, N Sünderhauf arXiv preprint arXiv:1903.07840, 2019 | 10 | 2019 |
| BenchBot environments for active robotics (BEAR): Simulated data for active scene understanding research D Hall, B Talbot, SR Bista, H Zhang, R Smith, F Dayoub, N Sünderhauf The International Journal of Robotics Research 41 (3), 259-269, 2022 | 6 | 2022 |
| A probabilistic challenge for object detection N Suenderhauf, F Dayoub, D Hall, J Skinner, H Zhang, G Carneiro, ... Nature Machine Intelligence 1 (9), 443-443, 2019 | 6 | 2019 |
| Learning spatial transforms for refining object segment proposals H Zhang, X He, F Porikli 2017 IEEE Winter Conference on Applications of Computer Vision (WACV), 37-46, 2017 | 1 | 2017 |
| Semantic context and depth-aware object proposal generation H Zhang, X He, F Porikli, L Kneip 2016 IEEE International Conference on Image Processing (ICIP), 1-5, 2016 | 1 | 2016 |
| Learning to Generate and Refine Object Proposals H Zhang The Australian National University, 2018 | | 2018 |
| Learning to generate object segment proposals with multi-modal cues H Zhang, X He, F Porikli Computer Vision–ACCV 2016: 13th Asian Conference on Computer Vision, Taipei …, 2017 | | 2017 |
