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Fayao Liu
Fayao Liu
Institute for Infocomm Research, A*STAR
Verified email at i2r.a-star.edu.sg - Homepage
Title
Cited by
Cited by
Year
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
15012015
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
11742015
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
6692019
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
3522019
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
2542020
CRF learning with CNN features for image segmentation
F Liu, G Lin, C Shen
Pattern Recognition 48 (10), 2983-2992, 2015
2452015
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
1472013
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
1062019
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
872015
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
702022
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
552021
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
402013
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
372022
TRRNet: Tiered Relation Reasoning for Compositional Visual Question Answering
X Yang, G Lin, F Lv, F Liu
ECCV 2020, 2020
322020
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
312019
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
302021
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
272021
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
262022
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
262017
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
242017
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