Liangchen Liu
Liangchen Liu
the University of Queesnland
Verified email at uq.edu.au
Title
Cited by
Cited by
Year
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
192018
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
182017
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
172014
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
122016
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
82012
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
62016
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
62016
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
62016
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
42020
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
32018
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
22020
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
12019
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
12017
Discovering visual attributes from image and video data
L Liu
12017
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, 2020
2020
Fuzzy Neighborhood Learning for Deep 3D Segmentation of Point Cloud
M Zhong, C Li, L Liu, J Wen, J Ma, X Yu
IEEE Transactions on Fuzzy Systems, 2020
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
2019
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
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
2019
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Articles 1–19