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ORCIDDing Liu
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2023
[j69]Lu Kang, Ding Liu
, Yali Wu, Guozheng Ping:
An Improved DE Algorithm for Solving Multi-Furnace Optimal Scheduling of Single Crystal Silicon Production. Int. J. Pattern Recognit. Artif. Intell. 37(2): 2359001:1-2359001:29 (2023)- [j68]Duqiao Zhao, Ding Liu, Xudong Cao:
Distributed Optimization Framework for Mobile Data Collection With Energy Harvesting in Duty-Cycle WSNs. IEEE Internet Things J. 10(7): 6456-6473 (2023) - [j67]Jun-Chao Ren, Ding Liu, Yin Wan:
Adaptive iterative extended state observer-based data-driven iterative learning model predictive control for semiconductor silicon single crystal batch process. J. Frankl. Inst. 360(4): 3119-3136 (2023) - [j66]Yunpeng He, Chuanzhi Zang, Peng Zeng, Qingwei Dong, Ding Liu, Yuqi Liu:
Convolutional Shrinkage Neural Networks Based Model-Agnostic Meta-Learning for Few-Shot Learning. Neural Process. Lett. 55(1): 505-518 (2023) - [j65]Ding Liu, Peng Zeng, Shijie Cui, Chunhe Song:
Deep Reinforcement Learning for Charging Scheduling of Electric Vehicles Considering Distribution Network Voltage Stability. Sensors 23(3): 1618 (2023) - [j64]Yin Wan, Ding Liu, Jun-Chao Ren, Shi-Hai Wu:
Study on the Hierarchical Predictive Control of Semiconductor Silicon Single Crystal Quality Based on the Soft Sensor Model. Sensors 23(5): 2830 (2023) - [j63]Wei Yuan, Han Liu, Lili Liang, Guo Xie, Youmin Zhang, Ding Liu:
Rank minimization via adaptive hybrid norm for image restoration. Signal Process. 206: 108926 (2023) - [j62]Runyuan Guo, Han Liu, Guo Xie, Youmin Zhang, Ding Liu:
A Self-Interpretable Soft Sensor Based on Deep Learning and Multiple Attention Mechanism: From Data Selection to Sensor Modeling. IEEE Trans. Ind. Informatics 19(5): 6859-6871 (2023) - [i42]Lanqing Guo, Siyu Huang, Ding Liu, Hao Cheng, Bihan Wen:
ShadowFormer: Global Context Helps Image Shadow Removal. CoRR abs/2302.01650 (2023) - [i41]Zheng Chen, Yulun Zhang, Ding Liu, Bin Xia, Jinjin Gu, Linghe Kong, Xin Yuan:
Hierarchical Integration Diffusion Model for Realistic Image Deblurring. CoRR abs/2305.12966 (2023) - [i40]Zhe Wang, ZhiJie He, Ding Liu:
Graph Analysis Using a GPU-based Parallel Algorithm: Quantum Clustering. CoRR abs/2305.14641 (2023) - 2022
- [j61]Jing Zhang, Ding Liu, Qin-Wei Tang:
The CNN Deep Learning-Based Melting Process Prediction of Czochralski Monocrystalline Silicon. IEEE Access 10: 41972-41978 (2022) - [j60]Shanshan Yang, Ding Liu:
Automatic annotation method of VR speech corpus based on artificial intelligence. Int. J. Speech Technol. 25(2): 399-407 (2022) - [j59]Bing Chen, Ding Liu, Ting Zhang:
A Blockchain-Based Security Model for IoT Systems. J. Inf. Knowl. Manag. 21(2): 2250004:1-2250004:18 (2022) - [j58]Bing Chen, Ding Liu:
Remote Fault Diagnosis Method of Wind Power Generation Equipment Based on Internet of Things. J. Inf. Process. Syst. 18(6): 822-829 (2022) - [j57]Yongkui Liu, He Xu, Ding Liu, Lihui Wang:
A digital twin-based sim-to-real transfer for deep reinforcement learning-enabled industrial robot grasping. Robotics Comput. Integr. Manuf. 78: 102365 (2022) - [j56]Wenbo Wang, Muhammad Yousaf, Ding Liu, Ayesha Sohail:
A Comparative Study of the Genetic Deep Learning Image Segmentation Algorithms. Symmetry 14(10): 1977 (2022) - [c92]Fangyuan Kong, Mingxi Li, Songwei Liu, Ding Liu, Jingwen He, Yang Bai, Fangmin Chen, Lean Fu:
Residual Local Feature Network for Efficient Super-Resolution. CVPR Workshops 2022: 765-775 - [c91]Zongcai Du, Ding Liu, Jie Liu, Jie Tang, Gangshan Wu, Lean Fu:
Fast and Memory-Efficient Network Towards Efficient Image Super-Resolution. CVPR Workshops 2022: 852-861 - [c90]Yawei Li, Kai Zhang, Radu Timofte, Luc Van Gool, Fangyuan Kong, Mingxi Li, Songwei Liu, Zongcai Du, Ding Liu, Chenhui Zhou, Jingyi Chen, Qingrui Han, Zheyuan Li, Yingqi Liu, Xiangyu Chen, Haoming Cai, Yu Qiao, Chao Dong, Long Sun, Jinshan Pan, Yi Zhu, Zhikai Zong, Xiaoxiao Liu, Zheng Hui, Tao Yang, Peiran Ren, Xuansong Xie, Xian-Sheng Hua, Yanbo Wang, Xiaozhong Ji, Chuming Lin, Donghao Luo, Ying Tai, Chengjie Wang, Zhizhong Zhang, Yuan Xie, Shen Cheng, Ziwei Luo, Lei Yu, Zhihong Wen, Qi Wu, Youwei Li, Haoqiang Fan, Jian Sun, Shuaicheng Liu, Yuanfei Huang, Meiguang Jin, Hua Huang, Jing Liu, Xinjian Zhang, Yan Wang, Lingshun Long, Gen Li, Yuanfan Zhang, Zuowei Cao, Lei Sun, Panaetov Alexander, Yucong Wang, Minjie Cai, Li Wang, Lu Tian, Zheyuan Wang, Hongbing Ma, Jie Liu, Chao Chen, Yidong Cai, Jie Tang, Gangshan Wu, Weiran Wang, Shirui Huang, Honglei Lu, Huan Liu, Keyan Wang, Jun Chen, Shi Chen, Yuchun Miao, Zimo Huang, Lefei Zhang, Mustafa Ayazoglu, Wei Xiong, Chengyi Xiong, Fei Wang, Hao Li, Ruimian Wen, Zhijing Yang, Wenbin Zou, Weixin Zheng, Tian Ye, Yuncheng Zhang, Xiangzhen Kong, Aditya Arora, Syed Waqas Zamir, Salman H. Khan, Munawar Hayat, Fahad Shahbaz Khan, Dandan Gao, Dengwen Zhou, Qian Ning, Jingzhu Tang, Han Huang, Yufei Wang, Zhangheng Peng, Haobo Li, Wenxue Guan, Shenghua Gong, Xin Li, Jun Liu, Wanjun Wang, Kun Zeng, Hanjiang Lin, Xinyu Chen, Jinsheng Fang:
NTIRE 2022 Challenge on Efficient Super-Resolution: Methods and Results. CVPR Workshops 2022: 1061-1101 - [c89]Ren Yang, Radu Timofte, Xin Li, Qi Zhang, Lin Zhang, Fanglong Liu, Dongliang He, Fu Li, He Zheng, Weihang Yuan, Pavel Ostyakov, Dmitry Vyal, Magauiya Zhussip, Xueyi Zou, Youliang Yan, Lei Li, Jingzhu Tang, Ming Chen, Shijie Zhao, Yu Zhu, Xiaoran Qin, Chenghua Li, Cong Leng, Jian Cheng, Claudio Rota, Marco Buzzelli, Simone Bianco, Raimondo Schettini, Dafeng Zhang, Feiyu Huang, Shizhuo Liu, Xiaobing Wang, Zhezhu Jin, Bingchen Li, Xin Li, Mingxi Li, Ding Liu, Wenbin Zou, Peijie Dong, Tian Ye, Yunchen Zhang, Ming Tan, Xin Niu, Mustafa Ayazoglu, Marcos Conde, Ui-Jin Choi, Zhuang Jia, Tianyu Xu, Yijian Zhang, Mao Ye, Dengyan Luo, Xiaofeng Pan, Liuhan Peng:
AIM 2022 Challenge on Super-Resolution of Compressed Image and Video: Dataset, Methods and Results. ECCV Workshops (3) 2022: 174-202 - [c88]Yingzhu Han, Chuyi Dai, Ding Liu:
Detection of Face Mask Wearing for COVID-19 Protection based on Transfer Learning and Classic CNN Model. ICNSC 2022: 1-7 - [c87]Zhidong Zhang, Xiubin Zhu, Ding Liu:
Model of Gradient Boosting Random Forest Prediction. ICNSC 2022: 1-6 - [c86]Jinyu Zhou, Chuitian Rong, Ding Liu, Zhengyi Chai:
Distributed Exact Structural Clustering on Large Graph. ICPADS 2022: 778-785 - [c85]Wei Xiong, Ding Liu, Xiaohui Shen, Chen Fang, Jiebo Luo:
Unsupervised Low-light Image Enhancement with Decoupled Networks. ICPR 2022: 457-463 - [c84]Xiaotong Luo, Mingliang Dai, Yulun Zhang, Yuan Xie, Ding Liu, Yanyun Qu, Yun Fu, Junping Zhang:
Adjustable Memory-efficient Image Super-resolution via Individual Kernel Sparsity. ACM Multimedia 2022: 2173-2181 - [c83]Xiaoyu Xiang, Ding Liu, Xiao Yang, Yiheng Zhu, Xiaohui Shen, Jan P. Allebach:
Adversarial Open Domain Adaptation for Sketch-to-Photo Synthesis. WACV 2022: 944-954 - [i39]Zongcai Du, Ding Liu, Jie Liu, Jie Tang, Gangshan Wu, Lean Fu:
Fast and Memory-Efficient Network Towards Efficient Image Super-Resolution. CoRR abs/2204.08397 (2022) - [i38]Yawei Li, Kai Zhang, Radu Timofte, Luc Van Gool, Fangyuan Kong, Mingxi Li, Songwei Liu, Zongcai Du, Ding Liu, Chenhui Zhou, Jingyi Chen, Qingrui Han, Zheyuan Li, Yingqi Liu, Xiangyu Chen, Haoming Cai, Yu Qiao, Chao Dong, Long Sun, Jinshan Pan, Yi Zhu, Zhikai Zong, Xiaoxiao Liu, Zheng Hui, Tao Yang, Peiran Ren, Xuansong Xie, Xian-Sheng Hua, Yanbo Wang, Xiaozhong Ji, Chuming Lin, Donghao Luo, Ying Tai, Chengjie Wang, Zhizhong Zhang, Yuan Xie, Shen Cheng, Ziwei Luo, Lei Yu, Zhihong Wen, Qi Wu, Youwei Li, Haoqiang Fan, Jian Sun, Shuaicheng Liu, Yuanfei Huang, Meiguang Jin, Hua Huang, Jing Liu, Xinjian Zhang, Yan Wang, Lingshun Long, Gen Li, Yuanfan Zhang, Zuowei Cao, Lei Sun, Panaetov Alexander, Yucong Wang, Minjie Cai, Li Wang, Lu Tian, Zheyuan Wang, Hongbing Ma, Jie Liu, Chao Chen, Yidong Cai, et al.:
NTIRE 2022 Challenge on Efficient Super-Resolution: Methods and Results. CoRR abs/2205.05675 (2022) - [i37]Fangyuan Kong, Mingxi Li, Songwei Liu, Ding Liu, Jingwen He, Yang Bai, Fangmin Chen, Lean Fu:
Residual Local Feature Network for Efficient Super-Resolution. CoRR abs/2205.07514 (2022) - [i36]Yiming Cui, Linjie Yang, Ding Liu:
Dynamic Proposals for Efficient Object Detection. CoRR abs/2207.05252 (2022) - [i35]Yuhao Huang, Hang Dong, Jinshan Pan, Chao Zhu, Yu Guo, Ding Liu, Lean Fu, Fei Wang:
Boosting Video Super Resolution with Patch-Based Temporal Redundancy Optimization. CoRR abs/2207.08674 (2022) - [i34]Ren Yang, Radu Timofte, Xin Li, Qi Zhang, Lin Zhang, Fanglong Liu, Dongliang He, Fu Li, He Zheng, Weihang Yuan, Pavel Ostyakov, Dmitry Vyal, Magauiya Zhussip, Xueyi Zou, Youliang Yan, Lei Li, Jingzhu Tang, Ming Chen, Shijie Zhao, Yu Zhu, Xiaoran Qin, Chenghua Li, Cong Leng, Jian Cheng, Claudio Rota, Marco Buzzelli, Simone Bianco, Raimondo Schettini, Dafeng Zhang, Feiyu Huang, Shizhuo Liu, Xiaobing Wang, Zhezhu Jin, Bingchen Li, Xin Li, Mingxi Li, Ding Liu, Wenbin Zou, Peijie Dong, Tian Ye, Yunchen Zhang, Ming Tan, Xin Niu, Mustafa Ayazoglu, Marcos V. Conde, Ui-Jin Choi, Zhuang Jia, Tianyu Xu, Yijian Zhang, Mao Ye, Dengyan Luo, Xiaofeng Pan, Liuhan Peng:
AIM 2022 Challenge on Super-Resolution of Compressed Image and Video: Dataset, Methods and Results. CoRR abs/2208.11184 (2022) - 2021
- [j55]Xiangcheng Zhan, Ding Liu, Guangchun Wang, Haimin Zhang, Aimaitiaji Kadier, Xudong Yao, Yunfei Xu:
The Innovative Use of Ureter Catheter in the Surgery of Obstructive Uropathy. Comput. Math. Methods Medicine 2021: 6668415:1-6668415:7 (2021) - [j54]Xinyu Zhang, Ding Liu, Biyu Lei, Junli Liang, Ruirui Ji:
An intelligent particle filter with resampling of multi-population cooperation. Digit. Signal Process. 115: 103084 (2021) - [j53]Zixing Zhang, Ding Liu, Jing Han, Kun Qian, Björn W. Schuller:
Learning audio sequence representations for acoustic event classification. Expert Syst. Appl. 178: 115007 (2021) - [j52]Junjie Li, Ding Liu:
Information Bottleneck Theory on Convolutional Neural Networks. Neural Process. Lett. 53(2): 1385-1400 (2021) - [j51]Xia Zhang, Ding Liu, Xue Wang, Xinyu Zhang:
Advanced Ellipse Fitting Algorithm Based on ADMM and Hybrid BFGS Method. IEEE Trans. Instrum. Meas. 70: 1-11 (2021) - [j50]Xinyu Zhang, Ding Liu, Yuan Yang, Junli Liang:
An Intelligent Particle Filter With Adaptive M-H Resampling for Liquid-Level Estimation During Silicon Crystal Growth. IEEE Trans. Instrum. Meas. 70: 1-12 (2021) - [j49]Yifan Jiang, Xinyu Gong, Ding Liu, Yu Cheng, Chen Fang, Xiaohui Shen, Jianchao Yang, Pan Zhou, Zhangyang Wang:
EnlightenGAN: Deep Light Enhancement Without Paired Supervision. IEEE Trans. Image Process. 30: 2340-2349 (2021) - [c82]Yang Fu, Linjie Yang, Ding Liu, Thomas S. Huang, Humphrey Shi:
CompFeat: Comprehensive Feature Aggregation for Video Instance Segmentation. AAAI 2021: 1361-1369 - [c81]Xueyan Zou, Linjie Yang, Ding Liu, Yong Jae Lee:
Progressive Temporal Feature Alignment Network for Video Inpainting. CVPR 2021: 16448-16457 - [c80]Giovanni Bonetta, Rossella Cancelliere, Ding Liu, Paul Vozila:
Retrieval-Augmented Transformer-XL for Close-Domain Dialog Generation. FLAIRS 2021 - [c79]Yujun Cai, Yiwei Wang, Yiheng Zhu, Tat-Jen Cham, Jianfei Cai, Junsong Yuan, Jun Liu, Chuanxia Zheng, Sijie Yan, Henghui Ding, Xiaohui Shen, Ding Liu, Nadia Magnenat-Thalmann:
A Unified 3D Human Motion Synthesis Model via Conditional Variational Auto-Encoder∗. ICCV 2021: 11625-11635 - [c78]Jian Zhou, Ding Liu:
A Redundancy Based Unsupervised Feature Selection Method for High-Dimensional Data. ICMLC 2021: 285-289 - [c77]Chuyi Dai, Ding Liu, Weihao Hu:
Real Object Registration Algorithm Based on SURF and RANSAC. ICNSC 2021: 1-6 - [c76]Tianqi Huang, He Xu, Ding Liu:
ROS Based Obstacle Avoidance Motion Planning of UR5 Manipulator. ICNSC 2021: 1-6 - [c75]Xiaotong Luo, Qiuyuan Liang, Ding Liu, Yanyun Qu:
Boosting Lightweight Single Image Super-resolution via Joint-distillation. ACM Multimedia 2021: 1535-1543 - [i33]Xueyan Zou, Linjie Yang, Ding Liu, Yong Jae Lee:
Progressive Temporal Feature Alignment Network for Video Inpainting. CoRR abs/2104.03507 (2021) - [i32]Xiaoyu Xiang, Ding Liu, Xiao Yang, Yiheng Zhu, Xiaohui Shen, Jan P. Allebach:
Adversarial Open Domain Adaption for Sketch-to-Photo Synthesis. CoRR abs/2104.05703 (2021) - [i31]Zhanghao Zhouyin, Ding Liu:
Understanding Neural Networks with Logarithm Determinant Entropy Estimator. CoRR abs/2105.03705 (2021) - [i30]Giovanni Bonetta, Rossella Cancelliere, Ding Liu, Paul Vozila:
Retrieval-Augmented Transformer-XL for Close-Domain Dialog Generation. CoRR abs/2105.09235 (2021) - 2020
- [j48]Pengliang Li, Ding Liu:
Elliptic Arc Fitting for the Shape Control System of Silicon Single Crystal Growth. IEEE Access 8: 28979-28987 (2020) - [j47]Lei Jiang, Enliang Liu, Ding Liu:
A Mode Selected Mixed Logic Dynamic Model and Model Predictive Control of Buck Converter. Complex. 2020: 5415636:1-5415636:11 (2020) - [j46]Ding Liu, Ni Zhang, Lei Jiang, Xiao-Guo Zhao, Wei-Feng Duan:
Nonlinear Generalized Predictive Control of the Crystal Diameter in CZ-Si Crystal Growth Process Based on Stacked Sparse Autoencoder. IEEE Trans. Control. Syst. Technol. 28(3): 1132-1139 (2020) - [j45]Hongyu Xu, Zhangyang Wang, Haichuan Yang, Ding Liu, Ji Liu:
Learning Simple Thresholded Features With Sparse Support Recovery. IEEE Trans. Circuits Syst. Video Technol. 30(4): 983-997 (2020) - [j44]Xinyu Zhang, Ding Liu, Hanya Jiang, Junli Liang:
Particle Filter With Unknown Statistics to Estimate Liquid Level in the Silicon Single-Crystal Growth. IEEE Trans. Instrum. Meas. 69(6): 2759-2770 (2020) - [j43]Ding Liu, Bihan Wen, Jianbo Jiao, Xianming Liu, Zhangyang Wang, Thomas S. Huang:
Connecting Image Denoising and High-Level Vision Tasks via Deep Learning. IEEE Trans. Image Process. 29: 3695-3706 (2020) - [j42]Jianbo Jiao, Wei-Chih Tu, Ding Liu, Shengfeng He, Rynson W. H. Lau, Thomas S. Huang:
FormNet: Formatted Learning for Image Restoration. IEEE Trans. Image Process. 29: 6302-6314 (2020) - [c74]Yuchen Fan, Jiahui Yu, Ding Liu, Thomas S. Huang:
Scale-Wise Convolution for Image Restoration. AAAI 2020: 10770-10777 - [c73]Yujun Cai, Lin Huang, Yiwei Wang, Tat-Jen Cham, Jianfei Cai, Junsong Yuan, Jun Liu, Xu Yang, Yiheng Zhu, Xiaohui Shen, Ding Liu, Jing Liu, Nadia Magnenat-Thalmann:
Learning Progressive Joint Propagation for Human Motion Prediction. ECCV (7) 2020: 226-242 - [c72]Yuchen Fan, Jiahui Yu, Yiqun Mei, Yulun Zhang, Yun Fu, Ding Liu, Thomas S. Huang:
Neural Sparse Representation for Image Restoration. NeurIPS 2020 - [c71]Junru Wu, Xiang Yu, Ding Liu, Manmohan Chandraker, Zhangyang Wang:
DAVID: Dual-Attentional Video Deblurring. WACV 2020: 2365-2374 - [i29]Yiqun Mei, Yuchen Fan, Yulun Zhang, Jiahui Yu, Yuqian Zhou, Ding Liu, Yun Fu, Thomas S. Huang, Humphrey Shi:
Pyramid Attention Networks for Image Restoration. CoRR abs/2004.13824 (2020) - [i28]Wei Xiong, Ding Liu, Xiaohui Shen, Chen Fang, Jiebo Luo:
Unsupervised Real-world Low-light Image Enhancement with Decoupled Networks. CoRR abs/2005.02818 (2020) - [i27]Ding Liu, Zekun Yao, Quan Zhang:
Quantum-Classical Machine learning by Hybrid Tensor Networks. CoRR abs/2005.09428 (2020) - [i26]Yuchen Fan, Jiahui Yu, Yiqun Mei, Yulun Zhang, Yun Fu, Ding Liu, Thomas S. Huang:
Neural Sparse Representation for Image Restoration. CoRR abs/2006.04357 (2020) - [i25]Ding Liu, Hui Li:
Outlier Detection Using a Novel method: Quantum Clustering. CoRR abs/2006.04760 (2020) - [i24]Yang Fu, Linjie Yang, Ding Liu, Thomas S. Huang, Humphrey Shi:
CompFeat: Comprehensive Feature Aggregation for Video Instance Segmentation. CoRR abs/2012.03400 (2020)
2010 – 2019
- 2019
- [j41]Jing Xin, Rong Yu, Ding Liu, Youmin Zhang:
Thermal stress deformation prediction for rotary air-preheater rotor using deep learning approach. Int. J. Model. Identif. Control. 31(4): 293-302 (2019) - [j40]Jing Xin, Kaiyuan Gao, Mao Shan, Bo Yan, Ding Liu:
A Bayesian Filtering Approach for Error Mitigation in Ultra-Wideband Ranging. Sensors 19(3): 440 (2019) - [j39]Junli Liang, Pengliang Li, Deyun Zhou, Hing-Cheung So, Ding Liu, Chi-Sing Leung, Liansheng Sui:
Robust ellipse fitting via alternating direction method of multipliers. Signal Process. 164: 30-40 (2019) - [j38]Ding Liu, Bowen Cheng, Zhangyang Wang, Haichao Zhang, Thomas S. Huang:
Enhance Visual Recognition Under Adverse Conditions via Deep Networks. IEEE Trans. Image Process. 28(9): 4401-4412 (2019) - [c70]Jing Zhang, YaNi Pan, Ding Liu:
Numerical Simulation of Thermal Field in Czochralski Monocrystalline Silicon Shoulder. ASCC 2019: 838-843 - [c69]Zhiqiang Shen, Honghui Shi, Jiahui Yu, Hai Phan, Rogério Feris, Liangliang Cao, Ding Liu, Xinchao Wang, Thomas S. Huang, Marios Savvides:
Improving Object Detection from Scratch via Gated Feature Reuse. BMVC 2019: 247 - [c68]Seungjun Nah, Radu Timofte, Sungyong Baik, Seokil Hong, Gyeongsik Moon, Sanghyun Son, Kyoung Mu Lee, Xintao Wang, Kelvin C. K. Chan, Ke Yu, Chao Dong, Chen Change Loy, Yuchen Fan, Jiahui Yu, Ding Liu, Thomas S. Huang, Hyeonjun Sim, Munchurl Kim, Dongwon Park, Jisoo Kim, Se Young Chun, Muhammad Haris, Greg Shakhnarovich, Norimichi Ukita, Syed Waqas Zamir, Aditya Arora, Salman H. Khan, Fahad Shahbaz Khan, Ling Shao, Rahul Kumar Gupta, Vishal M. Chudasama, Heena Patel, Kishor P. Upla, Hongfei Fan, Guo Li, Yumei Zhang, Xiang Li, Wenjie Zhang, Qingwen He, Kuldeep Purohit, A. N. Rajagopalan, Jeonghun Kim, Mohammad Tofighi, Tiantong Guo, Vishal Monga:
NTIRE 2019 Challenge on Video Deblurring: Methods and Results. CVPR Workshops 2019: 1974-1984 - [c67]Seungjun Nah, Radu Timofte, Shuhang Gu, Sungyong Baik, Seokil Hong, Gyeongsik Moon, Sanghyun Son, Kyoung Mu Lee, Xintao Wang, Kelvin C. K. Chan, Ke Yu, Chao Dong, Chen Change Loy, Yuchen Fan, Jiahui Yu, Ding Liu, Thomas S. Huang, Xiao Liu, Chao Li, Dongliang He, Yukang Ding, Shilei Wen, Fatih Porikli, Ratheesh Kalarot, Muhammad Haris, Greg Shakhnarovich, Norimichi Ukita, Peng Yi, Zhongyuan Wang, Kui Jiang, Junjun Jiang, Jiayi Ma, Hang Dong, Xinyi Zhang, Zhe Hu, Kwan-Young Kim, Dong Un Kang, Se Young Chun, Kuldeep Purohit, A. N. Rajagopalan, Yapeng Tian, Yulun Zhang, Yun Fu, Chenliang Xu, A. Murat Tekalp, M. Akin Yilmaz, Cansu Korkmaz, Manoj Sharma, Megh Makwana, Anuj Badhwar, Ajay Pratap Singh, Avinash Upadhyay, Rudrabha Mukhopadhyay, Ankit Shukla, Dheeraj Khanna, A. S. Mandal, Santanu Chaudhury, Si Miao, Yongxin Zhu, Xiao Huo:
NTIRE 2019 Challenge on Video Super-Resolution: Methods and Results. CVPR Workshops 2019: 1985-1995 - [c66]Yuchen Fan, Jiahui Yu, Ding Liu, Thomas S. Huang:
An Empirical Investigation of Efficient Spatio-Temporal Modeling in Video Restoration. CVPR Workshops 2019: 2159-2168 - [c65]Abdelrahman Abdelhamed, Radu Timofte, Michael S. Brown, Songhyun Yu, Bumjun Park, Jechang Jeong, Seung-Won Jung, Dong-Wook Kim, Jae Ryun Chung, Jiaming Liu, Yuzhi Wang, Chi-Hao Wu, Qin Xu, Chuan Wang, Shaofan Cai, Yifan Ding, Haoqiang Fan, Jue Wang, Kai Zhang, Wangmeng Zuo, Magauiya Zhussip, Dongwon Park, Shakarim Soltanayev, Se Young Chun, Zhiwei Xiong, Chang Chen, Muhammad Haris, Kazutoshi Akita, Tomoki Yoshida, Greg Shakhnarovich, Norimichi Ukita, Syed Waqas Zamir, Aditya Arora, Salman H. Khan, Fahad Shahbaz Khan, Ling Shao, Sung-Jea Ko, Dong-Pan Lim, Seung-Wook Kim, Seo-Won Ji, Sang-Won Lee, Wenyi Tang, Yuchen Fan, Yuqian Zhou, Ding Liu, Thomas S. Huang, Deyu Meng, Lei Zhang, Hongwei Yong, Yiyun Zhao, Pengliang Tang, Yue Lu, Raimondo Schettini, Simone Bianco, Simone Zini, Chi Li, Yang Wang, Zhiguo Cao:
NTIRE 2019 Challenge on Real Image Denoising: Methods and Results. CVPR Workshops 2019: 2197-2210 - [c64]Ding Liu, Zixu Zhao, Xinchao Wang, Yuxiao Hu, Lei Zhang, Thomas S. Huang:
Improving 3D Human Pose Estimation Via 3D Part Affinity Fields. WACV 2019: 1004-1013 - [i23]Zheng-Zhi Sun, Cheng Peng, Ding Liu, Shi-Ju Ran, Gang Su:
Generative Tensor Network Classification Model for Supervised Machine Learning. CoRR abs/1903.10742 (2019) - [i22]Yifan Jiang, Xinyu Gong, Ding Liu, Yu Cheng, Chen Fang, Xiaohui Shen, Jianchao Yang, Pan Zhou, Zhangyang Wang:
EnlightenGAN: Deep Light Enhancement without Paired Supervision. CoRR abs/1906.06972 (2019) - [i21]Junjie Li, Ding Liu:
Information Bottleneck Methods on Convolutional Neural Networks. CoRR abs/1911.03722 (2019) - [i20]Junru Wu, Xiang Yu, Ding Liu, Manmohan Chandraker, Zhangyang Wang:
DAVID: Dual-Attentional Video Deblurring. CoRR abs/1912.03445 (2019) - [i19]Yuchen Fan, Jiahui Yu, Ding Liu, Thomas S. Huang:
Scale-wise Convolution for Image Restoration. CoRR abs/1912.09028 (2019) - 2018
- [j37]Junli Liang, Guoyang Yu, Pengliang Li, Liansheng Sui, Yuntao Wu, Weiren Kong, Ding Liu, Hing Cheung So:
Ellipse fitting via low-rank generalized multidimensional scaling matrix recovery. Multidimens. Syst. Signal Process. 29(1): 49-75 (2018) - [j36]Ding Liu, Zhaowen Wang, Yuchen Fan, Xianming Liu, Zhangyang Wang, Shiyu Chang, Xinchao Wang, Thomas S. Huang:
Learning Temporal Dynamics for Video Super-Resolution: A Deep Learning Approach. IEEE Trans. Image Process. 27(7): 3432-3445 (2018) - [c63]Bowen Cheng, Ding Liu, Zhangyang Wang, Haichao Zhang, Thomas S. Huang:
Visual Recognition in Very Low-Quality Settings: Delving Into the Power of Pre-Training. AAAI 2018: 8065-8066 - [c62]Wei Han, Shiyu Chang, Ding Liu, Mo Yu, Michael Witbrock, Thomas S. Huang:
Image Super-Resolution via Dual-State Recurrent Networks. CVPR 2018: 1654-1663 - [c61]Yuqian Zhou, Ding Liu, Thomas S. Huang:
Survey of Face Detection on Low-Quality Images. FG 2018: 769-773 - [c60]Ding Liu, Bihan Wen, Xianming Liu, Zhangyang Wang, Thomas S. Huang:
When Image Denoising Meets High-Level Vision Tasks: A Deep Learning Approach. IJCAI 2018: 842-848 - [c59]Ding Liu:
Connecting Low-Level Image Processing and High-Level Vision via Deep Learning. IJCAI 2018: 5775-5776 - [c58]Ding Liu, Bihan Wen, Yuchen Fan, Chen Change Loy, Thomas S. Huang:
Non-Local Recurrent Network for Image Restoration. NeurIPS 2018: 1680-1689 - [c57]Panqu Wang, Pengfei Chen, Ye Yuan, Ding Liu, Zehua Huang, Xiaodi Hou, Garrison W. Cottrell:
Understanding Convolution for Semantic Segmentation. WACV 2018: 1451-1460 - [i18]Zhangyang Wang, Hongyu Xu, Haichuan Yang, Ding Liu, Ji Liu:
Learning Simple Thresholded Features with Sparse Support Recovery. CoRR abs/1804.05515 (2018) - [i17]Yuqian Zhou, Ding Liu, Thomas S. Huang:
Survey of Face Detection on Low-quality Images. CoRR abs/1804.07362 (2018) - [i16]Wei Han, Shiyu Chang, Ding Liu, Mo Yu, Michael J. Witbrock, Thomas S. Huang:
Image Super-Resolution via Dual-State Recurrent Networks. CoRR abs/1805.02704 (2018) - [i15]Ding Liu, Bihan Wen, Yuchen Fan, Chen Change Loy, Thomas S. Huang:
Non-Local Recurrent Network for Image Restoration. CoRR abs/1806.02919 (2018) - [i14]Ramakrishna Prabhu, Xiaojing Yu, Zhangyang Wang, Ding Liu, Anxiao Jiang:
U-Finger: Multi-Scale Dilated Convolutional Network for Fingerprint Image Denoising and Inpainting. CoRR abs/1807.10993 (2018) - [i13]Ding Liu, Bihan Wen, Jianbo Jiao, Xianming Liu, Zhangyang Wang, Thomas S. Huang:
Connecting Image Denoising and High-Level Vision Tasks via Deep Learning. CoRR abs/1809.01826 (2018) - 2017
- [j35]Muhammad Bashir, Zhiwu Li, Murat Uzam, Abdulrahman Al-Ahmari, Naiqi Wu, Ding Liu, Ting Qu:
A Minimal Supervisory Structure to Optimally Enforce Liveness on Petri Net Models for Flexible Manufacturing Systems. IEEE Access 5: 15731-15749 (2017) - [j34]Miao Liu, ShouGuang Wang, MengChu Zhou, Ding Liu, Abdulrahman Al-Ahmari, Ting Qu, Naiqi Wu, ZhiWu Li:
Deadlock and liveness characterization for a class of generalized Petri nets. Inf. Sci. 420: 403-416 (2017) - [j33]Cun-Bin Li, Jiahang Yuan, Ding Liu, Wenle Li, Shuaishuai Lin:
Risk group assessment based on the demands of important consumers with standby electric source. J. Intell. Fuzzy Syst. 33(4): 2177-2188 (2017) - [c56]