| 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 | 970 | 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 | 165 | 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 | 148 | 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 | 135 | 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 | 118 | 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 | 110 | 2014 |
| 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 | 87 | 2013 |
| 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 | 46 | 2010 |
| 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 | 43 | 2018 |
| 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 | 39 | 2016 |
| 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 | 37 | 2018 |
| Robust visual tracking via incremental low-rank features learning C Zhang, R Liu, T Qiu, Z Su Neurocomputing 131, 237-247, 2014 | 32 | 2014 |
| 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 | 30 | 2013 |
| 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 | 25 | 2019 |
| 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 | 25 | 2010 |
| 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 | 23 | 2020 |
| 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 | 23 | 2018 |
| Deep location-specific tracking L Yang, R Liu, D Zhang, L Zhang Proceedings of the 25th ACM international conference on Multimedia, 1309-1317, 2017 | 23 | 2017 |
Xin FanProfessor at Dalian University of TechnologyVerified email at ieee.org
