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ORCIDJie Liu 0040
刘杰
Person information
- unicode name: 刘杰
- affiliation: Nanjing University, State Key Laboratory for Novel Software Technology, China
Other persons with the same name
- Jie Liu — disambiguation page
- Jie Liu 0001
![[0000-0001-6209-6886]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0001-6209-6886")
— Harbin Institute of Technology, AI Research Institute, Harbin, China (and 3 more) - Jie Liu 0002 — National University of Defense Technology, Changsha, China
- Jie Liu 0003 — National University of Singapore, Singapore
- Jie Liu 0004 — Fourth Military Medical University, Tangdu Hospital, Xi'an, China (and 1 more)
- Jie Liu 0005 — University of Paris-Saclay, CentraleSupélec, Chatenay-Malabry, France
- Jie Liu 0006 — University of Washington, Seattle, WA, USA (and 1 more)
- Jie Liu 0007 — Nankai University, Tianjin, China
- Jie Liu 0008 — State Key Laboratory of Computer Science, Beijing, China (and 2 more)
- Jie Liu 0009 — Xi'an University of Science and Technology, College of Science, Xi'an, China (and 1 more)
- Jie Liu 0010 — Huazhong Agriculture University, Wuhan, China
- Jie Liu 0011 — Naval Aeronautical and Astronautical University, Yantai, China
- Jie Liu 0012 — North China University of Technology, Inverter Technologies Engineering Research Center of Beijing, China
- Jie Liu 0013 — East China Normal University, Shanghai Key Laboratory of Trustworthy Computing, China (and 1 more)
- Jie Liu 0014 — Jilin University, College of Computer Science and Technology / MOE Key Laboratory of Symbolic Computation and Knowledge Engineering, Changchun, China
- Jie Liu 0015 — Northwestern Polytechnical University, School of Aeronautics, Xi'an, China (and 4 more)
- Jie Liu 0016 — China University of Petroleum, College of Computer and Communication Engineering, Qingdao, China
- Jie Liu 0017 — Huazhong University of Science and Technology, School of Hydropower and Information Engineering, Wuhan, China (and 1 more)
- Jie Liu 0018 — University of Notre Dame, Department of Electrical Engineering, Notre Dame, IN, USA
- Jie Liu 0019 — Baicheng Ordnance Test Center of China, Department of Tes, Baicheng, China
- Jie Liu 0020 — University of New South Wales, Sydney, Australia
- Jie Liu 0022 — Capital Normal University, Department of Information Engineering, Beijing, China
- Jie Liu 0023 — Railway Engineering Research Institute, China Academic of Railway Science Corporation Ltd., Beijing, China
- Jie Liu 0024 — Chinese Academy of Sciences, Institute of Remote Sensing and Digital Earth, Beijing, China (and 1 more)
- Jie Liu 0025 — Chinese Academy of Sciences, Institute of Computing Technology, Key Lab of Intelligent Information Processing, Beijing, China
- Jie Liu 0026 — Western Oregon University, Computer Science Division, Monmouth, OR, USA (and 1 more)
- Jie Liu 0027 — Tsinghua University, Department of Computer Science and Technology, Beijing, China
- Jie Liu 0028 — Chinese Academy of Sciences, Institute of Automation, Beijing, China
- Jie Liu 0029 — Chinese Academy of Sciences, Institute of Software, Beijing, China
- Jie Liu 0030 — National Huaqiao University, College of Computer Science and Technology, Xiamen, China
- Jie Liu 0031 — Xi'an University of Technology, School of Printing Packaging and Digital Media, Xi'an, China (and 1 more)
- Jie Liu 0032 — Chinese Academy of Sciences, Institute of Modern Physics, Lanzhou, China
- Jie Liu 0033 — Shandong University of Science and Technology, College of Electrical Engineering and Automation, Qingdao, China
- Jie Liu 0034 — Hunan University, College of Electrical and Information Engineering, Changsha, China
- Jie Liu 0035 — Peking University, National Engineering Laboratory for Video Technology, Beijing, China
- Jie Liu 0036 — Lehigh University, Department of Industrial and Systems Engineering, Bethlehem, PA, USA
- Jie Liu 0037 — Nanjing ChangFeng Aerospace Electronic Technology Co., Nanjing, China (and 1 more)
- Jie Liu 0038 — Harbin Institute of Technology, School of Computer Science and Technology, Weihai, China
- Jie Liu 0039 — Shenyang Normal University, Software College, China
- Jie Liu 0041 — Dalian Medical University, Second Hospital, Department of Anesthesiology, China
- Jie Liu 0042 — Xidian University, School of Electronic Engineering, China
- Jie Liu 0043 — University of Amsterdam, The Netherlands
- Jie Liu 0044 — City University of Hong Kong, Department of Electrical Engineering, Hong Kong
- Jie Liu 0045 — University of Michigan, Department of Computational Medicine and Bioinformatics, Electrical Engineering and Computer Science, MI, USA (and 1 more)
- Jie Liu 0046 — Monash University, Australia
- Jie Liu 0047 — Chinese University of Hong Kong, CUHK, MMLab, Hong Kong (and 1 more)
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Journal Articles
- 2025
[j2]Shijie Yang, Chao Chen, Jie Liu, Jie Tang, Gangshan Wu:
FSDM: An efficient video super-resolution method based on Frames-Shift Diffusion Model. Neural Networks 188: 107435 (2025)- 2022
- [j1]Jie Liu, Jie Tang, Gangshan Wu:
IAA-VSR: An iterative alignment algorithm for video super-resolution. Appl. Intell. 52(14): 16572-16585 (2022)
Conference and Workshop Papers
- 2024
- [c20]Chao Chen, Jie Liu, Chang Zhou, Jie Tang, Gangshan Wu:
Sketch and Refine: Towards Fast and Accurate Lane Detection. AAAI 2024: 1001-1009 - [c19]Haonan Wang, Jie Liu, Jie Tang, Gangshan Wu, Bo Xu, Yanbing Chou, Yong Wang:
GTPT: Group-Based Token Pruning Transformer for Efficient Human Pose Estimation. ECCV (69) 2024: 213-230 - [c18]Junyu Wu, Yuhao Chao, Jie Liu:
Enhancing Multi-modal Object Detection with Data Augmentation, Focal Loss, and Model Ensembling. ICPR (Workshops and Challenges, 4) 2024: 284-292 - [c17]Tianrui Pan, Jie Liu, Bohan Wang, Jie Tang, Gangshan Wu:
RAVSS: Robust Audio-Visual Speech Separation in Multi-Speaker Scenarios with Missing Visual Cues. ACM Multimedia 2024: 4748-4756 - 2023
- [c16]Jie Liu, Chao Chen, Jie Tang, Gangshan Wu:
From Coarse to Fine: Hierarchical Pixel Integration for Lightweight Image Super-resolution. AAAI 2023: 1666-1674 - [c15]Yidong Cai, Jie Liu, Jie Tang, Gangshan Wu:
Robust Object Modeling for Visual Tracking. ICCV 2023: 9555-9566 - [c14]Chang Zhou, Jie Liu, Jie Tang, Gangshan Wu:
Video Frame Interpolation with Densely Queried Bilateral Correlation. IJCAI 2023: 1786-1794 - [c13]Haonan Wang, Jie Liu, Jie Tang, Gangshan Wu:
Lightweight Super-Resolution Head for Human Pose Estimation. ACM Multimedia 2023: 2353-2361 - 2022
- [c12]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 - [c11]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 - [c10]Andrey Ignatov, Radu Timofte, Maurizio Denna, Abdel Younes, Ganzorig Gankhuyag, Jingang Huh, Myeong Kyun Kim, Kihwan Yoon, Hyeon-Cheol Moon, Seungho Lee, Yoonsik Choe, Jinwoo Jeong, Sungjei Kim, Maciej Smyl, Tomasz Latkowski, Pawel Kubik, Michal Sokolski, Yujie Ma, Jiahao Chao, Zhou Zhou, Hongfan Gao, Zhengfeng Yang, Zhenbing Zeng, Zhengyang Zhuge, Chenghua Li, Dan Zhu, Mengdi Sun, Ran Duan, Yan Gao, Lingshun Kong, Long Sun, Xiang Li, Xingdong Zhang, Jiawei Zhang, Yaqi Wu, Jinshan Pan, Gaocheng Yu, Jin Zhang, Feng Zhang, Zhe Ma, Hongbin Wang, Hojin Cho, Steve Kim, Huaen Li, Yanbo Ma, Ziwei Luo, Youwei Li, Lei Yu, Zhihong Wen, Qi Wu, Haoqiang Fan, Shuaicheng Liu, Lize Zhang, Zhikai Zong, Jeremy Kwon, Junxi Zhang, Mengyuan Li, Nianxiang Fu, Guanchen Ding, Han Zhu, Zhenzhong Chen, Gen Li, Yuanfan Zhang, Lei Sun, Dafeng Zhang, Neo Yang, Fitz Liu, Jerry Zhao, Mustafa Ayazoglu, Bahri Batuhan Bilecen, Shota Hirose, Kasidis Arunruangsirilert, Luo Ao, Ho Chun Leung, Andrew Wei, Jie Liu, Qiang Liu, Dahai Yu, Ao Li, Lei Luo, Ce Zhu, Seongmin Hong, Dongwon Park, Joonhee Lee, Byeong Hyun Lee, Seunggyu Lee, Se Young Chun, Ruiyuan He, Xuhao Jiang, Haihang Ruan, Xinjian Zhang, Jing Liu, Garas Gendy, Nabil Sabor, Jingchao Hou, Guanghui He:
Efficient and Accurate Quantized Image Super-Resolution on Mobile NPUs, Mobile AI & AIM 2022 Challenge: Report. ECCV Workshops (3) 2022: 92-129 - [c9]Zongcai Du, Jie Liu, Jie Tang, Gangshan Wu:
Two Strategies Toward Lightweight Image Super-Resolution. ICASSP 2022: 4478-4482 - 2021
- [c8]Zongcai Du, Jie Liu, Jie Tang, Gangshan Wu:
Anchor-Based Plain Net for Mobile Image Super-Resolution. CVPR Workshops 2021: 2494-2502 - 2020
- [c7]Jie Liu, Wenjie Zhang, Yuting Tang, Jie Tang, Gangshan Wu:
Residual Feature Aggregation Network for Image Super-Resolution. CVPR 2020: 2356-2365 - [c6]Jie Liu, Yishun Dou, Wenjie Zhang, Jie Tang, Gangshan Wu:
Belief Map Enhancement Network for Accurate Human Pose Estimation. ECAI 2020: 2736-2743 - [c5]Kai Zhang, Martin Danelljan, Yawei Li, Radu Timofte, Jie Liu, Jie Tang, Gangshan Wu, Yu Zhu, Xiangyu He, Wenjie Xu, Chenghua Li, Cong Leng, Jian Cheng, Guangyang Wu, Wenyi Wang, Xiaohong Liu, Hengyuan Zhao, Xiangtao Kong, Jingwen He, Yu Qiao, Chao Dong, Xiaotong Luo, Liang Chen, Jiangtao Zhang, Maitreya Suin, Kuldeep Purohit, A. N. Rajagopalan, Xiaochuan Li, Zhiqiang Lang, Jiangtao Nie, Wei Wei, Lei Zhang, Abdul Muqeet, Jiwon Hwang, Subin Yang, Jung Heum Kang, Sung-Ho Bae, Yongwoo Kim, Yanyun Qu, Geun-Woo Jeon, Jun-Ho Choi, Jun-Hyuk Kim, Jong-Seok Lee, Steven Marty, Éric Marty, Dongliang Xiong, Siang Chen, Lin Zha, Jiande Jiang, Xinbo Gao, Wen Lu, Haicheng Wang, Vineeth Bhaskara, Alex Levinshtein, Stavros Tsogkas, Allan D. Jepson, Xiangzhen Kong, Tongtong Zhao, Shanshan Zhao, Hrishikesh P. S, Densen Puthussery, C. V. Jiji, Nan Nan, Shuai Liu, Jie Cai, Zibo Meng, Jiaming Ding, Chiu Man Ho, Xuehui Wang, Qiong Yan, Yuzhi Zhao, Long Chen, Long Sun, Wenhao Wang, Zhenbing Liu, Rushi Lan, Rao Muhammad Umer, Christian Micheloni:
AIM 2020 Challenge on Efficient Super-Resolution: Methods and Results. ECCV Workshops (3) 2020: 5-40 - [c4]Jie Liu, Jie Tang, Gangshan Wu:
Residual Feature Distillation Network for Lightweight Image Super-Resolution. ECCV Workshops (3) 2020: 41-55 - [c3]Jie Liu, Minqiang Zou, Jie Tang, Gangshan Wu:
Memory Recursive Network for Single Image Super-Resolution. ACM Multimedia 2020: 2202-2210 - 2017
- [c2]Jie Liu, Xingkun Gao, Nianyuan Bao, Jie Tang, Gangshan Wu:
Deep convolutional neural networks for pedestrian detection with skip pooling. IJCNN 2017: 2056-2063 - 2016
- [c1]Xingkun Gao, Nianyuan Bao, Jie Liu, Jie Tang, Gangshan Wu:
Scalable Single-Source SimRank Computation for Large Graphs. ICPADS 2016: 1083-1091
Informal and Other Publications
- 2025
- [i14]Zheng Chen, Kai Liu, Jue Gong, Jingkai Wang, Lei Sun, Zongwei Wu, Radu Timofte, Yulun Zhang, Xiangyu Kong, Xiaoxuan Yu, Hyunhee Park, Suejin Han, Hakjae Jeon, Dafeng Zhang, Hyung-Ju Chun, Donghun Ryou, Inju Ha, Bohyung Han, Lu Zhao, Yuyi Zhang, Pengyu Yan, Jiawei Hu, Pengwei Liu, Fengjun Guo, Hongyuan Yu, Pufan Xu, Zhijuan Huang, Shuyuan Cui, Peng Guo, Jiahui Liu, Dongkai Zhang, Heng Zhang, Huiyuan Fu, Huadong Ma, Yanhui Guo, Sisi Tian, Xin Liu, Jinwen Liang, Jie Liu, Jie Tang, Gangshan Wu, Zeyu Xiao, Zhuoyuan Li, Yinxiang Zhang, Wenxuan Cai, Vijayalaxmi Ashok Aralikatti, Nikhil Akalwadi, G. Gyaneshwar Rao, Chaitra Desai, Ramesh Ashok Tabib, Uma Mudenagudi, Marcos V. Conde, Alejandro Merino, Bruno Longarela, Javier Abad, Weijun Yuan, Zhan Li, Zhanglu Chen, Boyang Yao, Aagam Jain, Milan Kumar Singh, Ankit Kumar, Shubh Kawa, Divyavardhan Singh, Anjali Sarvaiya, Kishor P. Upla, Raghavendra Ramachandra, Chia-Ming Lee, Yu-Fan Lin, Chih-Chung Hsu, Risheek V. Hiremath, Palani Yashaswini, Yuxuan Jiang, Qiang Zhu, Siyue Teng, Fan Zhang, Shuyuan Zhu, Bing Zeng, David Bull, Jingwei Liao, Yuqing Yang, Wenda Shao, Junyi Zhao, Qisheng Xu, Kele Xu, Sunder Ali Khowaja, Ik Hyun Lee, Snehal Singh Tomar, Rajarshi Ray, Klaus Mueller, Sachin Chaudhary, Surya Vashisth, Akshay Dudhane, Praful Hambarde, Satya Naryan Tazi, Prashant W. Patil, Santosh Kumar Vipparthi, Subrahmanyam Murala, Bilel Benjdira, Anas M. Ali:
NTIRE 2025 Challenge on Image Super-Resolution (⨉4): Methods and Results. CoRR abs/2504.14582 (2025) - 2024
- [i13]Chao Chen, Jie Liu, Chang Zhou, Jie Tang, Gangshan Wu:
Sketch and Refine: Towards Fast and Accurate Lane Detection. CoRR abs/2401.14729 (2024) - [i12]Haonan Wang, Jie Liu, Jie Tang, Gangshan Wu, Bo Xu, Yanbing Chou, Yong Wang:
GTPT: Group-based Token Pruning Transformer for Efficient Human Pose Estimation. CoRR abs/2407.10756 (2024) - 2023
- [i11]Chang Zhou, Jie Liu, Jie Tang, Gangshan Wu:
Video Frame Interpolation with Densely Queried Bilateral Correlation. CoRR abs/2304.13596 (2023) - [i10]Haonan Wang, Jie Liu, Jie Tang, Gangshan Wu:
Lightweight Super-Resolution Head for Human Pose Estimation. CoRR abs/2307.16765 (2023) - [i9]Yidong Cai, Jie Liu, Jie Tang, Gangshan Wu:
Robust Object Modeling for Visual Tracking. CoRR abs/2308.05140 (2023) - 2022
- [i8]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) - [i7]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) - [i6]Jie Liu, Chao Chen, Jie Tang, Gangshan Wu:
From Coarse to Fine: Hierarchical Pixel Integration for Lightweight Image Super-Resolution. CoRR abs/2211.16776 (2022) - 2021
- [i5]Andrey Ignatov, Radu Timofte, Maurizio Denna, Abdel Younes, Andrew Lek, Mustafa Ayazoglu, Jie Liu, Zongcai Du, Jiaming Guo, Xueyi Zhou, Hao Jia, Youliang Yan, Zexin Zhang, Yixin Chen, Yunbo Peng, Yue Lin, Xindong Zhang, Hui Zeng, Kun Zeng, Peirong Li, Zhihuang Liu, Shiqi Xue, Shengpeng Wang:
Real-Time Quantized Image Super-Resolution on Mobile NPUs, Mobile AI 2021 Challenge: Report. CoRR abs/2105.07825 (2021) - [i4]Zongcai Du, Jie Liu, Jie Tang, Gangshan Wu:
Anchor-based Plain Net for Mobile Image Super-Resolution. CoRR abs/2105.09750 (2021) - [i3]Jie Liu, Jie Tang, Gangshan Wu:
AdaDM: Enabling Normalization for Image Super-Resolution. CoRR abs/2111.13905 (2021) - 2020
- [i2]Kai Zhang, Martin Danelljan, Yawei Li, Radu Timofte, Jie Liu, Jie Tang, Gangshan Wu, Yu Zhu, Xiangyu He, Wenjie Xu, Chenghua Li, Cong Leng, Jian Cheng, Guangyang Wu, Wenyi Wang, Xiaohong Liu, Hengyuan Zhao, Xiangtao Kong, Jingwen He, Yu Qiao, Chao Dong, Jiangtao Zhang, Maitreya Suin, Kuldeep Purohit, A. N. Rajagopalan, Xiaochuan Li, Zhiqiang Lang, Jiangtao Nie, Wei Wei, Lei Zhang, Abdul Muqeet, Jiwon Hwang, Subin Yang, Jung Heum Kang, Sung-Ho Bae, Yongwoo Kim, Liang Chen, Xiaotong Luo, Yanyun Qu, Geun-Woo Jeon, Jun-Ho Choi, Jun-Hyuk Kim, Jong-Seok Lee, Steven Marty, Éric Marty, Dongliang Xiong, Siang Chen, Lin Zha, Jiande Jiang, Xinbo Gao, Wen Lu, Haicheng Wang, Vineeth Bhaskara, Alex Levinshtein, Stavros Tsogkas, Allan D. Jepson, Xiangzhen Kong, Tongtong Zhao, Shanshan Zhao, Hrishikesh P. S, Densen Puthussery, C. Victor Jiji, Nan Nan, Shuai Liu, Jie Cai, Zibo Meng, Jiaming Ding, Chiu Man Ho, Xuehui Wang, Qiong Yan, Yuzhi Zhao, Long Chen, Long Sun, Wenhao Wang, Zhenbing Liu, Rushi Lan, Rao Muhammad Umer, Christian Micheloni:
AIM 2020 Challenge on Efficient Super-Resolution: Methods and Results. CoRR abs/2009.06943 (2020) - [i1]Jie Liu, Jie Tang, Gangshan Wu:
Residual Feature Distillation Network for Lightweight Image Super-Resolution. CoRR abs/2009.11551 (2020)
Coauthor Index
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