Risheng Liu
Risheng Liu
Professor, School of ISE, Dalian University of Technology
Verified email at dlut.edu.cn - Homepage
Title
Cited by
Cited by
Year
The Visual Object Tracking VOT2017 Challenge Results
ICCV Workshops, 1949-1972, 2017
1576*2017
Linearized alternating direction method with adaptive penalty for low-rank representation
Z Lin, R Liu, Z Su
Advances in Neural Information Processing Systems, 612-620, 2011
9702011
Linearized alternating direction method with parallel splitting and adaptive penalty for separable convex programs in machine learning
R Liu, Z Lin, Z Su
Journal of Machine Learning Research 29, 1-16, 2013
1652013
Fixed-rank representation for unsupervised visual learning
R Liu, Z Lin, F De la Torre, Z Su
2012 IEEE Conference on Computer Vision and Pattern Recognition, 598-605, 2012
1482012
Adaptive partial differential equation learning for visual saliency detection
R Liu, J Cao, Z Lin, S Shan
Proceedings of the IEEE conference on computer vision and pattern …, 2014
1352014
Low-rank structure learning via nonconvex heuristic recovery
Y Deng, Q Dai, R Liu, Z Zhang, S Hu
IEEE transactions on neural networks and learning systems 24 (3), 383-396, 2013
1182013
Structure-constrained low-rank representation
K Tang, R Liu, Z Su, J Zhang
IEEE transactions on neural networks and learning systems 25 (12), 2167-2179, 2014
1102014
Kernel estimation from salient structure for robust motion deblurring
J Pan, R Liu, Z Su, X Gu
Signal Processing: Image Communication 28 (9), 1156-1170, 2013
872013
Linear time Principal Component Pursuit and its extensions using ℓ1 filtering
R Liu, Z Lin, Z Su, J Gao
Neurocomputing 142, 529-541, 2014
68*2014
Learning PDEs for image restoration via optimal control
R Liu, Z Lin, W Zhang, Z Su
European Conference on Computer Vision, 115-128, 2010
462010
Learning aggregated transmission propagation networks for haze removal and beyond
R Liu, X Fan, M Hou, Z Jiang, Z Luo, L Zhang
IEEE transactions on neural networks and learning systems 30 (10), 2973-2986, 2018
432018
Learning to Diffuse: A New Perspective to Design PDEs for Visual Analysis
R Liu, G Zhong, J Cao, Z Lin, S Shan, Z Luo
IEEE TPAMI, 2016
392016
Learning converged propagations with deep prior ensemble for image enhancement
R Liu, L Ma, Y Wang, L Zhang
IEEE Transactions on Image Processing 28 (3), 1528-1543, 2018
372018
Robust visual tracking via incremental low-rank features learning
C Zhang, R Liu, T Qiu, Z Su
Neurocomputing 131, 237-247, 2014
322014
Toward designing intelligent PDEs for computer vision: An optimal control approach
R Liu, Z Lin, W Zhang, K Tang, Z Su
Image and vision computing 31 (1), 43-56, 2013
302013
On the convergence of learning-based iterative methods for nonconvex inverse problems
R Liu, S Cheng, Y He, X Fan, Z Lin, Z Luo
IEEE transactions on pattern analysis and machine intelligence 42 (12), 3027 …, 2019
252019
Feature extraction by learning Lorentzian metric tensor and its extensions
R Liu, Z Lin, Z Su, K Tang
Pattern Recognition 43 (10), 3298-3306, 2010
252010
Real-world underwater enhancement: Challenges, benchmarks, and solutions under natural light
R Liu, X Fan, M Zhu, M Hou, Z Luo
IEEE Transactions on Circuits and Systems for Video Technology 30 (12), 4861 …, 2020
232020
Joint residual learning for underwater image enhancement
M Hou, R Liu, X Fan, Z Luo
2018 25th IEEE International Conference on Image Processing (ICIP), 4043-4047, 2018
232018
Deep location-specific tracking
L Yang, R Liu, D Zhang, L Zhang
Proceedings of the 25th ACM international conference on Multimedia, 1309-1317, 2017
232017
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