| Learning depth from single monocular images using deep convolutional neural fields F Liu, C Shen, G Lin, I Reid IEEE Transactions on Pattern Analysis and Machine Intelligence, 2015 | 1514 | 2015 |
| Deep convolutional neural fields for depth estimation from a single image F Liu, C Shen, G Lin Proceedings of the IEEE conference on computer vision and pattern …, 2015 | 1177 | 2015 |
| Canet: Class-agnostic segmentation networks with iterative refinement and attentive few-shot learning C Zhang, G Lin, F Liu, R Yao, C Shen Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 705 | 2019 |
| Pyramid graph networks with connection attentions for region-based one-shot semantic segmentation C Zhang, G Lin, F Liu, J Guo, Q Wu, R Yao Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 366 | 2019 |
| Crnet: Cross-reference networks for few-shot segmentation W Liu, C Zhang, G Lin, F Liu Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 261 | 2020 |
| CRF learning with CNN features for image segmentation F Liu, G Lin, C Shen Pattern Recognition 48 (10), 2983-2992, 2015 | 249 | 2015 |
| Multiple kernel learning in the primal for multimodal Alzheimer’s disease classification F Liu, L Zhou, C Shen, J Yin IEEE journal of biomedical and health informatics 18 (3), 984-990, 2013 | 146 | 2013 |
| Towards robust curve text detection with conditional spatial expansion Z Liu, G Lin, S Yang, F Liu, W Lin, WL Goh proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 105 | 2019 |
| Sequence searching with deep-learnt depth for condition-and viewpoint-invariant route-based place recognition M Milford, C Shen, S Lowry, N Suenderhauf, S Shirazi, G Lin, F Liu, ... Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2015 | 85 | 2015 |
| On representation knowledge distillation for graph neural networks CK Joshi, F Liu, X Xun, J Lin, CS Foo IEEE transactions on neural networks and learning systems, 2022 | 77 | 2022 |
| Hcrf-flow: Scene flow from point clouds with continuous high-order crfs and position-aware flow embedding R Li, G Lin, T He, F Liu, C Shen Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 62 | 2021 |
| Efficient dual approach to distance metric learning C Shen, J Kim, F Liu, L Wang, A Van Den Hengel IEEE transactions on neural networks and learning systems 25 (2), 394-406, 2013 | 41 | 2013 |
| Weakly supervised segmentation on outdoor 4D point clouds with temporal matching and spatial graph propagation H Shi, J Wei, R Li, F Liu, G Lin Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 38 | 2022 |
| 3d pose transfer with correspondence learning and mesh refinement C Song, J Wei, R Li, F Liu, G Lin Advances in Neural Information Processing Systems 34, 3108-3120, 2021 | 34 | 2021 |
| TRRNet: Tiered Relation Reasoning for Compositional Visual Question Answering X Yang, G Lin, F Lv, F Liu ECCV 2020, 2020 | 33 | 2020 |
| Segeqa: Video segmentation based visual attention for embodied question answering H Luo, G Lin, Z Liu, F Liu, Z Tang, Y Yao 2019 IEEE/CVF International Conference on Computer Vision (ICCV), 9666-9675, 2019 | 33 | 2019 |
| Few-shot segmentation with global and local contrastive learning W Liu, Z Wu, H Ding, F Liu, J Lin, G Lin arXiv preprint arXiv:2108.05293, 2021 | 31 | 2021 |
| Crcnet: Few-shot segmentation with cross-reference and region–global conditional networks W Liu, C Zhang, G Lin, F Liu International Journal of Computer Vision 130 (12), 3140-3157, 2022 | 29 | 2022 |
| Structured learning of tree potentials in CRF for image segmentation F Liu, G Lin, R Qiao, C Shen IEEE transactions on neural networks and learning systems 29 (6), 2631-2637, 2017 | 26 | 2017 |
| Discriminative training of deep fully connected continuous CRFs with task-specific loss F Liu, G Lin, C Shen IEEE Transactions on Image Processing 26 (5), 2127-2136, 2017 | 24 | 2017 |
Guosheng LinNanyang Technological UniversityPreverjeni e-poštni naslov na ntu.edu.sg
