Fayao Liu
Fayao Liu
Verified email at adelaide.edu.au - Homepage
TitleCited byYear
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
5042015
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
4892015
CRF learning with CNN features for image segmentation
F Liu, G Lin, C Shen
Pattern Recognition 48 (10), 2983-2992, 2015
1212015
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
682013
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
362015
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
302013
Online unsupervised feature learning for visual tracking
F Liu, C Shen, I Reid, A van den Hengel
Image and Vision Computing 51, 84-94, 2016
162016
PSAEC: an improved algorithm for short read error correction using partial suffix arrays
Z Zhao, J Yin, Y Zhan, W Xiong, Y Li, F Liu
Frontiers in Algorithmics and Algorithmic Aspects in Information and …, 2011
132011
Structured learning of binary codes with column generation for optimizing ranking measures
G Lin, F Liu, C Shen, J Wu, HT Shen
International Journal of Computer Vision 123 (2), 287-308, 2017
92017
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, 2018
82018
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
72017
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 Conference on Computer Vision and Pattern …, 2019
42019
Refinenet: Multi-path refinement networks for dense prediction
G Lin, F Liu, A Milan, C Shen, I Reid
IEEE transactions on pattern analysis and machine intelligence, 2019
32019
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 Conference on Computer Vision and Pattern …, 2019
32019
Local statistical analysis of Gabor coefficiens and adaptive feature extraction for face description and recognition
L Kuan, Y Jianping, L Yong, L Fayao
Journal of Computer Research and Development 4, 2012
32012
An improved recognition method of PDF417 barcode
F Liu, J Yin, K Li, Q Liu
2010 Chinese Conference on Pattern Recognition (CCPR), 1-5, 2010
22010
Correlation Propagation Networks for Scene Text Detection
Z Liu, G Lin, WL Goh, F Liu, C Shen, X Yang
arXiv preprint arXiv:1810.00304, 2018
12018
Designing ensemble learning algorithms using kernel methods
F Liu, R Qiao, C Shen, L Luo
International Journal of Machine Intelligence and Sensory Signal Processing …, 2017
12017
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 International Conference on Computer Vision, 9587-9595, 2019
2019
SegEQA: Video Segmentation Based Visual Attention for Embodied Question Answering
H Luo, G Lin, Z Liu, F Liu, Z Tang, Y Yao
Proceedings of the IEEE International Conference on Computer Vision, 9667-9676, 2019
2019
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