The Visual Object Tracking VOT2017 Challenge Results ICCV Workshops, 1949-1972, 2017 | 2278* | 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 | 1448 | 2011 |
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 | 715 | 2021 |
Toward fast, flexible, and robust low-light image enhancement L Ma, T Ma, R Liu, X Fan, Z Luo Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 634 | 2022 |
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 | 554 | 2020 |
Target-aware dual adversarial learning and a multi-scenario multi-modality benchmark to fuse infrared and visible for object detection J Liu, X Fan, Z Huang, G Wu, R Liu, W Zhong, Z Luo Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 532 | 2022 |
Learning a deep multi-scale feature ensemble and an edge-attention guidance for image fusion J Liu, X Fan, J Jiang, R Liu, Z Luo IEEE Transactions on Circuits and Systems for Video Technology 32 (1), 105-119, 2021 | 256 | 2021 |
Investigating bi-level optimization for learning and vision from a unified perspective: A survey and beyond R Liu, J Gao, J Zhang, D Meng, Z Lin IEEE Transactions on Pattern Analysis and Machine Intelligence 44 (12 …, 2021 | 240 | 2021 |
Linearized alternating direction method with parallel splitting and adaptive penalty for separable convex programs in machine learning R Liu, Z Lin, Z Su Asian Conference on Machine Learning, 2013 | 210 | 2013 |
Twin adversarial contrastive learning for underwater image enhancement and beyond R Liu, Z Jiang, S Yang, X Fan IEEE Transactions on Image Processing 31, 4922-4936, 2022 | 206 | 2022 |
Self-augmented unpaired image dehazing via density and depth decomposition Y Yang, C Wang, R Liu, L Zhang, X Guo, D Tao Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 204 | 2022 |
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 | 178 | 2012 |
Unsupervised misaligned infrared and visible image fusion via cross-modality image generation and registration D Wang, J Liu, X Fan, R Liu arXiv preprint arXiv:2205.11876, 2022 | 173 | 2022 |
Unsupervised representation learning with long-term dynamics for skeleton based action recognition N Zheng, J Wen, R Liu, L Long, J Dai, Z Gong Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018 | 169 | 2018 |
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 | 164 | 2014 |
Target oriented perceptual adversarial fusion network for underwater image enhancement Z Jiang, Z Li, S Yang, X Fan, R Liu IEEE Transactions on Circuits and Systems for Video Technology 32 (10), 6584 …, 2022 | 162 | 2022 |
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 | 159 | 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 | 152 | 2013 |
Segment, magnify and reiterate: Detecting camouflaged objects the hard way Q Jia, S Yao, Y Liu, X Fan, R Liu, Z Luo Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 150 | 2022 |
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 | 145 | 2013 |