| Multiscale conditional random fields for image labeling X He, RS Zemel, MA Carreira-Perpinán Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision …, 2004 | 1247 | 2004 |
| Discrete-continuous depth estimation from a single image M Liu, M Salzmann, X He Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2014 | 425 | 2014 |
| Learning and incorporating top-down cues in image segmentation X He, RS Zemel, D Ray Computer Vision–ECCV 2006: 9th European Conference on Computer Vision, Graz …, 2006 | 259 | 2006 |
| Senticap: Generating image descriptions with sentiments A Mathews, L Xie, X He Proceedings of the AAAI conference on artificial intelligence 30 (1), 2016 | 198 | 2016 |
| Boundary-aware instance segmentation Z Hayder, X He, M Salzmann Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 172 | 2017 |
| Part-aware prototype network for few-shot semantic segmentation Y Liu, X Zhang, S Zhang, X He Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 170 | 2020 |
| Pose-aware multi-level feature network for human object interaction detection B Wan, D Zhou, Y Liu, R Li, X He Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 163 | 2019 |
| Forest change detection in incomplete satellite images with deep neural networks SH Khan, X He, F Porikli, M Bennamoun IEEE Transactions on Geoscience and Remote Sensing 55 (9), 5407-5423, 2017 | 154 | 2017 |
| Der: Dynamically expandable representation for class incremental learning S Yan, J Xie, X He Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 145 | 2021 |
| Shape-aware semi-supervised 3D semantic segmentation for medical images S Li, C Zhang, X He Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd …, 2020 | 137 | 2020 |
| Indoor scene structure analysis for single image depth estimation W Zhuo, M Salzmann, X He, M Liu Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2015 | 135 | 2015 |
| Distribution alignment: A unified framework for long-tail visual recognition S Zhang, Z Li, S Yan, X He, J Sun Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 126 | 2021 |
| Semstyle: Learning to generate stylised image captions using unaligned text A Mathews, L Xie, X He Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 107 | 2018 |
| Bipartite graph network with adaptive message passing for unbiased scene graph generation R Li, S Zhang, B Wan, X He Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 89 | 2021 |
| Multiclass Semantic Video Segmentation with Object-level Active Inference B Liu, X He CVPR, 2015 | 86 | 2015 |
| Robust face alignment under occlusion via regional predictive power estimation H Yang, X He, X Jia, I Patras IEEE Transactions on Image Processing 24 (8), 2393-2403, 2015 | 78 | 2015 |
| Latentgnn: Learning efficient non-local relations for visual recognition S Zhang, X He, S Yan International Conference on Machine Learning, 7374-7383, 2019 | 76 | 2019 |
| Gnerf: Gan-based neural radiance field without posed camera Q Meng, A Chen, H Luo, M Wu, H Su, L Xu, X He, J Yu Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 73 | 2021 |
| Learning hybrid models for image annotation with partially labeled data X He, R Zemel Advances in Neural Information Processing Systems 21, 2008 | 67 | 2008 |
| Occlusion boundary detection using pseudo-depth X He, A Yuille Computer Vision–ECCV 2010: 11th European Conference on Computer Vision …, 2010 | 64 | 2010 |
Nick BarnesProfessor, Australian National UniversityVerified email at anu.edu.au
