Liangchen Liu
Liangchen Liu
the University of Queesnland
Verified email at
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Multi-modal joint clustering with application for unsupervised attribute discovery
L Liu, F Nie, A Wiliem, Z Li, T Zhang, BC Lovell
IEEE Transactions on Image Processing 27 (9), 4345-4356, 2018
What is the best way for extracting meaningful attributes from pictures?
L Liu, A Wiliem, S Chen, BC Lovell
Pattern Recognition 64, 314-326, 2017
Automatic image attribute selection for zero-shot learning of object categories
L Liu, A Wiliem, S Chen, BC Lovell
2014 22nd International Conference on Pattern Recognition, 2619-2624, 2014
Unsupervised automatic attribute discovery method via multi-graph clustering
L Liu, F Nie, T Zhang, A Wiliem, BC Lovell
2016 23rd International Conference on Pattern Recognition (ICPR), 1713-1718, 2016
Integrating Demand Response and Renewable Energy In Wholesale Market.
C Li, C Liu, X Yu, K Deng, T Huang, L Liu
IJCAI, 382-388, 2018
A novel separating strategy for face hallucination
L Liu, W Li, S Tang, W Gong
2012 19th IEEE International Conference on Image Processing, 1849-1852, 2012
Omni-supervised joint detection and pose estimation for wild animals
T Zhang, L Liu, K Zhao, A Wiliem, G Hemson, B Lovell
Pattern Recognition Letters 132, 84-90, 2020
Determining the best attributes for surveillance video keywords generation
L Liu, A Wiliem, S Chen, K Zhao, BC Lovell
2016 IEEE International Conference on Identity, Security and Behavior …, 2016
Automatic and quantitative evaluation of attribute discovery methods
L Liu, A Wiliem, S Chen, BC Lovell
2016 IEEE Winter Conference on Applications of Computer Vision (WACV), 1-9, 2016
Is Alice chasing or being chased?: determining subject and object of activities in videos
T Zhang, L Liu, A Wiliem, B Lovell
2016 IEEE Winter Conference on Applications of Computer Vision (WACV), 1-7, 2016
Multi-task image set classification via joint representation with class-level sparsity and intra-task low-rankness
D Liu, L Liu, Y Tie, L Qi
Pattern Recognition Letters 132, 99-105, 2020
Dbrec: dual-bridging recommendation via discovering latent groups
J Ma, J Wen, M Zhong, L Liu, C Li, W Chen, Y Yang, H Tu, X Li
Proceedings of the 28th ACM International Conference on Information and …, 2019
Cannygan: Edge-preserving image translation with disentangled features
T Wang, T Zhang, L Liu, A Wiliem, B Lovell
2019 IEEE International Conference on Image Processing (ICIP), 514-518, 2019
Deep inspection: an electrical distribution pole parts study via deep neural networks
L Liu, T Zhang, K Zhao, A Wiliem, K Astin-Walmsley, B Lovell
2019 IEEE International Conference on Image Processing (ICIP), 4170-4174, 2019
Automation of quantitative fractography for determination of fatigue crack growth rates with marker loads
W Hu, A Wiliem, B Lovell, S Barter, L Liu
29th ICAF Symposium Nagoya, 2017
Multi-Graph Based Hierarchical Semantic Fusion for Cross-Modal Representation
L Zhu, C Zhang, J Song, L Liu, S Zhang, Y Li
2021 IEEE International Conference on Multimedia and Expo (ICME), 1-6, 2021
Hignet: Hierarchical and interactive gate networks for item recommendation
M Zhong, C Li, J Wen, L Liu, J Ma, G Zhang, Y Yang
IEEE Intelligent Systems 35 (5), 50-61, 2020
Deep corrosion assessment for electrical transmission towers
T Zhang, L Liu, A Wiliem, S Connor, Z Ilich, E Van Der Draai, B Lovell
2019 Digital Image Computing: Techniques and Applications (DICTA), 1-6, 2019
Discovering visual attributes from image and video data
L Liu
Fuzzy Neighborhood Learning for Deep 3-D Segmentation of Point Cloud
M Zhong, C Li, L Liu, J Wen, J Ma, X Yu
IEEE Transactions on Fuzzy Systems 28 (12), 3181-3192, 2020
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