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ORCIDChang Liu 0042
Person information
- affiliation: University of Chinese Academy of Sciences, School of Electronic, Electrical and Communication Engineering, Beijing, China
Other persons with the same name
- Chang Liu — disambiguation page
- Chang Liu 0001
![[0000-0002-3914-754X]](https://dblp.org/img/orcid-mark.12x12.png "0000-0002-3914-754X")
— Beijing Institute of Technology, School of Computer Science and Technology, China (and 1 more) - Chang Liu 0002 — Peking University, Department of Advanced Manufacturing and Robotics, Beijing, China (and 2 more)
- Chang Liu 0003 — La Trobe University, Melbourne, Australia (and 3 more)
- Chang Liu 0004 — Purdue University, Video and Image Processing Laboratory (VIPER), West Lafayette, IN, USA
- Chang Liu 0005 — Chengdu University, College of Information Science and Technology, Chengdu, China
- Chang Liu 0006 — Chinese Academy of Sciences, Institute of Electronics, State Key Laboratory of Transducer Technology, Beijing, China (and 2 more)
- Chang Liu 0007 — Peking University, Department of Information Management, Beijing, China (and 1 more)
- Chang Liu 0008 — Guangdong University of Technology, School of Information Engineering, China (and 1 more)
- Chang Liu 0009 — Beihang University, School of Astronautics, Beijing, China
- Chang Liu 0010 — University of Stuttgart, Institute of Computer Architecture and Computer Engineering, Germany
- Chang Liu 0011 — Harbin Institute of Technology, Department of Computer Science, China
- Chang Liu 0012 — Dongguan University of Technology, School of Electronic Engineering, China
- Chang Liu 0013 — Northeast Forestry University, College of Engineering and Technology, Centre for Forest Operations and Environment, Harbin, China
- Chang Liu 0014 — North China Electric Power University, Department of Electric Engineering, Baoding, China
- Chang Liu 0015 — University of Melbourne, Australia
- Chang Liu 0016 — China University of Mining and Technology, School of Mechatronic Engineering, Xuzhou, China
- Chang Liu 0017 — Chongqing University of Posts and Telecommunications, Chongqing Key Laboratory of Computational Intelligence, China
- Chang Liu 0018 — Jianghan University, Department of Logistics and Information Management, China
- Chang Liu 0019 — National University of Defense Technology, Institute of Microelectronics, School of Computer Science, Changsha, China
- Chang Liu 0020 — Guangdong University of Technology, School of Automation, Guangdong Key Laboratory of IoT Information Technology, Guangzhou, China
- Chang Liu 0021 — University of California, Berkeley, Department of EECS, CA, USA (and 2 more)
- Chang Liu 0022 — Northeastern University, Department of Mechanical and Industrial Engineering, Boston, MA, USA
- Chang Liu 0023 — Huazhong University of Science and Technology, Wuhan, China
- Chang Liu 0024 — ShanghaiTech University, School of Information Science and Technology, Shanghai, China
- Chang Liu 0025 — Beijing Institute of Spacecraft Environment Engineering, China
- Chang Liu 0026 — Beijing Information Science and Technology University, Institute of Applied Mathematics, Beijing, China
- Chang Liu 0027 — Northern Illinois University, College of Business, Dekalb, IL, USA
- Chang Liu 0028 — Ohio University, Athens, OH, USA (and 1 more)
- Chang Liu 0029 — University of Toronto, Canada
- Chang Liu 0030 — Microsoft Research AI4Science, Beijing, China (and 2 more)
- Chang Liu 0031 — Carnegie Mellon University, Pittsburgh, PA, USA
- Chang Liu 0032 — Northwestern University, Evanston, IL, USA
- Chang Liu 0033 — University of Massachusetts Lowell, MA, USA
- Chang Liu 0034 — Broadcom Corporation, Irvine, CA, USA (and 1 more)
- Chang Liu 0035 — King's College London, UK
- Chang Liu 0036 — Hong Kong University of Science and Technology, Department of Mathematics, Hong Kong
- Chang Liu 0037 — Nanchang Hangkong University, School of Information Technology, Nanchang, China
- Chang Liu 0038 — Ben-Gurion University of the Negev, Beer Sheva, Israel
- Chang Liu 0039 — Northeastern University, Liaoning Engineering Laboratory of Data Analytics and Optimization for Smart Industry, Shenyang, China
- Chang Liu 0040 — Nanyang Technological University, School of Computer Science and Engineering, Singapore (and 1 more)
- Chang Liu 0041 — Chinese Academy of Sciences, Institute of Electronics, Department of Airborne Microwave Remote Sensing System, Beijing, China
- Chang Liu 0043 — China Three Gorges University, College of Electrical Engineering and New Energy, Yichang, China
- Chang Liu 0044 — Tianjin University, School of Microelectronics, Tianjin, China
- Chang Liu 0045 — Northeastern University, College of Computer Science and Engineering, Shenyang, China
- Chang Liu 0046 — Wuhan University, School of Computer Science, Wuhan, China
- Chang Liu 0047 — University of Chinese Academy of Sciences, School of Electronic, Electrical and Communication Engineering, Beijing, China
- Chang Liu 0048 — Iowa State University, Department of Computer Science, Ames, IA, USA
- Chang Liu 0049 — Chinese Academy of Sciences, Institute of Information Engineering, Beijing, China (and 1 more)
- Chang Liu 0050 — University of Southampton, Faculty of Engineering and the Environment, UK
- Chang Liu 0051 — East China Normal University, Software Engineering Institute, Shanghai, China
- Chang Liu 0052 — University of Michigan - Dearborn, Department of Electrical and Computer Engineering, MI, USA
- Chang Liu 0053 — Chinese Academy of Sciences, Institute of Remote Sensing and Digital Earth, Key Laboratory of Digital Earth Science, Beijing, China
- Chang Liu 0054 — Taishan University, Taishan University, Taian, China
- Chang Liu 0055 — Southwestern University of Finance and Economics, School of Securities and Futures, Chengdu, China
- Chang Liu 0056 — Kunming University of Science and Technology, Faculty of Information Engineering and Automation, Computer Technology Application Key Laboratory of Yunnan Province, China
- Chang Liu 0057 — Guangdong Ocean University, Institute of Electronics and Information Engineering, China (and 1 more)
- Chang Liu 0058 — Hunan University, College of Computer Science and Electronic Engineering, Changsha, China
- Chang Liu 0059 — University of Edinburgh, School of Engineering, UK (and 2 more)
- Chang Liu 0060 — South China University of Technology, School of Automation Science and Engineering, Guangdong, China
- Chang Liu 0061 — Tsinghua University, Department of Automation, Beijing, China (and 1 more)
- Chang Liu 0062 — Harbin Institute of Technology, School of Electrical Engineering and Automation, China
- Chang Liu 0063 — Tsinghua University, Beijing, School of Medicine, Department of Biomedical Engineering, China
- Chang Liu 0064 — Jilin University, Software Institute, Changchun, China
- Chang Liu 0065 — Beijing University of Posts and Telecommunications, School of Information and Communication Engineering, Beijing Key Laboratory of Network System Architecture and Convergence, China
- Chang Liu 0066 — Shenyang University, Department of Applied Technology, China
- Chang Liu 0067 — Kunming University of Science and Technology, Faculty of Mechanical and Electrical Engineering, China
- Chang Liu 0068 — Beijing Institute of Technology, School of Automation, State Key Laboratory of Intelligent Control and Decision of Complex Systems, China
- Chang Liu 0069 — Xi'an Jiaotong-Liverpool University, Suzhou, China (and 1 more)
- Chang Liu 0070 — Huazhong University of Science and Technology, School of Civil and Hydraulic Engineering, Wuhan, China
- Chang Liu 0071 — NVIDIA, Beijing, China (and 2 more)
- Chang Liu 0072 — Nanyang Technological University (NTU), Singapore
- Chang Liu 0073 — University of Jena, Germany
- Chang Liu 0074 — Polytechnic University of Milan, Italy
- Chang Liu 0075 — University of California, Berkeley, USA
- Chang Liu 0076 — Peking University, Wangxuan Institute of Computer Technology, Center for Data Science, China
- Chang Liu 0077 — Shanghai Jiao Tong University, Department of Electronic Engineering, Institute of Image Communication and Networks Engineering, China
- Chang Liu 0078 — Shanghai Jiao Tong University, Department of Computer Science and Engineering, China
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2020 – today
- 2022
[c15]Bo Fang, Wenhao Wu, Chang Liu, Yu Zhou, Dongliang He, Weiping Wang:
MaMiCo: Macro-to-Micro Semantic Correspondence for Self-supervised Video Representation Learning. ACM Multimedia 2022: 1348-1357- 2021
- [j1]Yunjie Tian, Chang Liu, Lingxi Xie, Jianbin Jiao, Qixiang Ye:
Discretization-aware architecture search. Pattern Recognit. 120: 108186 (2021) - [c14]Bohao Li, Boyu Yang, Chang Liu, Feng Liu, Rongrong Ji, Qixiang Ye:
Beyond Max-Margin: Class Margin Equilibrium for Few-Shot Object Detection. CVPR 2021: 7363-7372 - [c13]Zonghao Guo, Chang Liu, Xiaosong Zhang, Jianbin Jiao, Xiangyang Ji, Qixiang Ye:
Beyond Bounding-Box: Convex-Hull Feature Adaptation for Oriented and Densely Packed Object Detection. CVPR 2021: 8792-8801 - [i12]Bohao Li, Boyu Yang, Chang Liu, Feng Liu, Rongrong Ji, Qixiang Ye:
Beyond Max-Margin: Class Margin Equilibrium for Few-shot Object Detection. CoRR abs/2103.04612 (2021) - [i11]Boyu Yang, Mingbao Lin, Binghao Liu, Mengying Fu, Chang Liu, Rongrong Ji, Qixiang Ye:
Learnable Expansion-and-Compression Network for Few-shot Class-Incremental Learning. CoRR abs/2104.02281 (2021) - 2020
- [c12]Dezhao Luo, Chang Liu, Yu Zhou, Dongbao Yang, Can Ma, Qixiang Ye, Weiping Wang:
Video Cloze Procedure for Self-Supervised Spatio-Temporal Learning. AAAI 2020: 11701-11708 - [c11]Yuan Yao, Chang Liu, Dezhao Luo, Yu Zhou, Qixiang Ye:
Video Playback Rate Perception for Self-Supervised Spatio-Temporal Representation Learning. CVPR 2020: 6547-6556 - [c10]Boyu Yang, Chang Liu, Bohao Li, Jianbin Jiao, Qixiang Ye:
Prototype Mixture Models for Few-Shot Semantic Segmentation. ECCV (8) 2020: 763-778 - [c9]Yifei Zhang, Chang Liu, Yu Zhou, Wei Wang, Weiping Wang, Qixiang Ye:
Progressive Cluster Purification for Unsupervised Feature Learning. ICPR 2020: 8476-8483 - [i10]Dezhao Luo, Chang Liu, Yu Zhou, Dongbao Yang, Can Ma, Qixiang Ye, Weiping Wang:
Video Cloze Procedure for Self-Supervised Spatio-Temporal Learning. CoRR abs/2001.00294 (2020) - [i9]Yuan Yao, Chang Liu, Dezhao Luo, Yu Zhou, Qixiang Ye:
Video Playback Rate Perception for Self-supervisedSpatio-Temporal Representation Learning. CoRR abs/2006.11476 (2020) - [i8]Yifei Zhang, Chang Liu, Yu Zhou, Wei Wang, Weiping Wang, Qixiang Ye:
Progressive Cluster Purification for Unsupervised Feature Learning. CoRR abs/2007.02577 (2020) - [i7]Yunjie Tian, Chang Liu, Lingxi Xie, Jianbin Jiao, Qixiang Ye:
Discretization-Aware Architecture Search. CoRR abs/2007.03154 (2020) - [i6]Boyu Yang, Chang Liu, Bohao Li, Jianbin Jiao, Qixiang Ye:
Prototype Mixture Models for Few-shot Semantic Segmentation. CoRR abs/2008.03898 (2020) - [i5]Chang Liu, Yunjie Tian, Jianbin Jiao, Qixiang Ye:
Adaptive Linear Span Network for Object Skeleton Detection. CoRR abs/2011.03972 (2020) - [i4]Yuanqiang Cai, Chang Liu, Weiqiang Wang, Qixiang Ye:
Towards Spatio-Temporal Video Scene Text Detection via Temporal Clustering. CoRR abs/2011.09781 (2020)
2010 – 2019
- 2019
- [c8]Chang Liu, Dezhao Luo, Yifei Zhang, Wei Ke, Fang Wan, Qixiang Ye:
Parametric Skeleton Generation via Gaussian Mixture Models. CVPR Workshops 2019: 1167-1171 - [c7]Nan Jiang, Yifei Zhang, Dezhao Luo, Chang Liu, Yu Zhou, Zhenjun Han:
Feature Hourglass Network for Skeleton Detection. CVPR Workshops 2019: 1172-1176 - [c6]Fang Wan, Chang Liu, Wei Ke, Xiangyang Ji, Jianbin Jiao, Qixiang Ye:
C-MIL: Continuation Multiple Instance Learning for Weakly Supervised Object Detection. CVPR 2019: 2199-2208 - [c5]Chang Liu, Fang Wan, Wei Ke, Zhuowei Xiao, Yuan Yao, Xiaosong Zhang, Qixiang Ye:
Orthogonal Decomposition Network for Pixel-Wise Binary Classification. CVPR 2019: 6064-6073 - [c4]Haolan Xue, Chang Liu, Fang Wan, Jianbin Jiao, Xiangyang Ji, Qixiang Ye:
DANet: Divergent Activation for Weakly Supervised Object Localization. ICCV 2019: 6588-6597 - [c3]Xiaosong Zhang, Fang Wan, Chang Liu, Rongrong Ji, Qixiang Ye:
FreeAnchor: Learning to Match Anchors for Visual Object Detection. NeurIPS 2019: 147-155 - [i3]Fang Wan, Chang Liu, Wei Ke, Xiangyang Ji, Jianbin Jiao, Qixiang Ye:
C-MIL: Continuation Multiple Instance Learning for Weakly Supervised Object Detection. CoRR abs/1904.05647 (2019) - [i2]Xiaosong Zhang, Fang Wan, Chang Liu, Rongrong Ji, Qixiang Ye:
FreeAnchor: Learning to Match Anchors for Visual Object Detection. CoRR abs/1909.02466 (2019) - 2018
- [c2]Chang Liu, Wei Ke, Fei Qin, Qixiang Ye:
Linear Span Network for Object Skeleton Detection. ECCV (2) 2018: 136-151 - [i1]Chang Liu, Wei Ke, Fei Qin, Qixiang Ye:
Linear Span Network for Object Skeleton Detection. CoRR abs/1807.09601 (2018) - 2017
- [c1]Chang Liu, Wei Ke, Jianbin Jiao, Qixiang Ye:
RSRN: Rich Side-Output Residual Network for Medial Axis Detection. ICCV Workshops 2017: 1739-1743
Coauthor Index
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