Risheng Liu
Risheng Liu
Professor, School of ISE, Dalian University of Technology
Verified email at - Homepage
Cited by
Cited by
The Visual Object Tracking VOT2017 Challenge Results
ICCV Workshops, 1949-1972, 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
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
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
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
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
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
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
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
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
Linear time Principal Component Pursuit and its extensions using ℓ1 filtering
R Liu, Z Lin, Z Su, J Gao
Neurocomputing 142, 529-541, 2014
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
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
A generic first-order algorithmic framework for bi-level programming beyond lower-level singleton
R Liu, P Mu, X Yuan, S Zeng, J Zhang
International Conference on Machine Learning, 6305-6315, 2020
Label-free and ultrasensitive electrochemical DNA biosensor based on urchinlike carbon nanotube-gold nanoparticle nanoclusters
S Han, W Liu, M Zheng, R Wang
Analytical chemistry 92 (7), 4780-4787, 2020
Learning PDEs for image restoration via optimal control
R Liu, Z Lin, W Zhang, Z Su
European conference on computer vision, 115-128, 2010
Structural and functional characterization of polyethylene terephthalate hydrolase from Ideonella sakaiensis
C Liu, C Shi, S Zhu, R Wei, CC Yin
Biochemical and biophysical research communications 508 (1), 289-294, 2019
Retinex-inspired unrolling with cooperative prior architecture search for low-light image enhancement
R Liu, L Ma, J Zhang, X Fan, Z Luo
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
Learning to Diffuse: A New Perspective to Design PDEs for Visual Analysis
R Liu, G Zhong, J Cao, Z Lin, S Shan, Z Luo
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
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