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Jing Liu 0001
刘静
Person information

- unicode name: 刘静
- affiliation: Chinese Academy of Sciences, Institute of Automation, National Laboratory of Pattern Recognition, Beijing, China
Other persons with the same name
- Jing Liu — disambiguation page
- Jing Liu 0002
— Tianjin University, School of Electrical and Information Engineering, China (and 1 more)
- Jing Liu 0003
— Inner Mongolia University, College of Computer Science, Hohhot, China (and 1 more)
- Jing Liu 0004
— Chinese Academy of Sciences, Institute of Computing Technology, Key Laboratory of Mobile Computing and Pervasive Device, Beijing, China
- Jing Liu 0005
— Tianjin University, School of Precision Instruments and Opto-Electronics Engineering, China (and 1 more)
- Jing Liu 0006
— Xidian University, Key Laboratory of Intelligent Perception and Image Understanding, Xi'an, China (and 3 more)
- Jing Liu 0007
— Xi'an University of Technology, Faculty of Computer Science and Engineering, China
- Jing Liu 0008
— TU Dortmund University, Robotics Research Institute, Germany
- Jing Liu 0009
— University of California, San Diego, Department of Electrical and Computer Engineering, CA, USA
- Jing Liu 0010 — Nankai University, Nankai-Baidu Joint Laboratory, College of IT, Tianjin, China
- Jing Liu 0011
— Xi'an JiaoTong University, School of Electronics and Information Engineering, China (and 1 more)
- Jing Liu 0012
— East China Normal University, Shanghai Key Laboratory of Trustworthy Computing, China
- Jing Liu 0013
— Peking University, School of Software and Microelectronics / School of Electronics Engineering and Computer Science, Beijing, China
- Jing Liu 0014
— Tsinghua University, School of Medicine, Department of Biomedical Engineering, Beijing, China
- Jing Liu 0015
— Beijing University of Posts and Telecommunications, School of Information and Communications Engineering, China
- Jing Liu 0016
— Chinese University of Hong Kong, Future Network of Intelligence Institute, Shenzhen, China (and 1 more)
- Jing Liu 0017
— Donghua University, School of Information Science and Technology, Shanghai, China
- Jing Liu 0018
— Xi'an University of Posts and Telecommunications, School of Electronic Engineering, Xi'an, China (and 1 more)
- Jing Liu 0019
— Lehigh University, Department of Electrical and Computer Engineering, Bethlehem, PA, USA
- Jing Liu 0020
— Chinese University of Hong Kong, Department of Electronic Engineering, Hong Kong
- Jing Liu 0021
— University of Twente, Faculty of Geo-Information Science and Earth Observation, Enschede, Netherlands (and 1 more)
- Jing Liu 0022 — Baidu Inc., Beijing, China (and 2 more)
- Jing Liu 0023 — Shanghai Jiao Tong University, Department of Electronic Engineering, Shanghai, China (and 1 more)
- Jing Liu 0024 — George Mason University, Fairfax, VA, USA (and 1 more)
- Jing Liu 0025 — Southern Yangtze University, School of Information Technology, Wuxi, China
- Jing Liu 0026 — McMaster University, Department of Electrical and Computer Engineering, Hamilton, Canada (and 1 more)
- Jing Liu 0027 — University of Alabama, Department of Computer Science, Tuscaloosa, AL, USA
- Jing Liu 0028
— Beijing University of Technology, College of Computer Science, China
- Jing Liu 0029
— University of New South Wales, School of Engineering and Information Technology, Canberra, Australia (and 1 more)
- Jing Liu 0030 — Capital Normal University, Department of Educational Technology, Beijing, China
- Jing Liu 0031 — East China Normal University, Multimedia and Computer Vision Lab, Shanghai, China
- Jing Liu 0032
— Wuhan University of Science and Technology, College of Computer Science and Technology, Hubei Province Key Laboratory of Intelligent Information Processing and Real-time Industrial System, China (and 1 more)
- Jing Liu 0033 — Wuhan University, School of Computer / State Key Laboratory of Software Engineering, China
- Jing Liu 0034 — Chinese Academy of Sciences, Institute of Information Engineering, Beijing, China (and 1 more)
- Jing Liu 0035 — Chinese Academy of Sciences, Institute of Microelectronics, Laboratory of Microelectronics Devices and Integrated Technology, Beijing, China
- Jing Liu 0036
— Zhengzhou Information Science and Technology Institute, China
- Jing Liu 0037
— University of Copenhagen, Department of Food Science, Denmark
- Jing Liu 0038
— Chinese Academy of Sciences, Institute of Remote Sensing and Digital Earth, Beijing, China
- Jing Liu 0039
— Beijing Normal University, State Key Laboratory of Cognitive Neuroscience and Learning / IDG/McGovern Institute of Brain Research / Center for Collaboration and Innovation in Brain and Learning Sciences, China
- Jing Liu 0040
— Jilin University, MoE Key Laboratory of Bionic Engineering, Changchun, China
- Jing Liu 0041
— Hainan University, School of Information and Communication Engineering / State Key Laboratory of Marine Resource Utilization in the South China Sea, Haikou, China (and 1 more)
- Jing Liu 0042
— Tianjin University, School of Precision Instruments and Opto-Electronic Engineering, China
- Jing Liu 0043
— Shandong University of Science and Technology, College of Computer Science and Engineering, Qingdao, China
- Jing Liu 0044
— Zhejiang University School of Medicine, Second Affiliated Hospital, Hangzhou, China
- Jing Liu 0045
— Soochow University, School of Electronic and Information Engineering, Suzhou, China
- Jing Liu 0046
— Northwestern Polytechnical University, School of Marine Science and Technology, Xi'an, China (and 1 more)
- Jing Liu 0047
— Beijing University of Technology, Beijing Laboratory of Smart Environmental Protection / Beijing Key Laboratory of Computational Intelligence and Intelligent System / Beijing Artificial Intelligence Institute, China
- Jing Liu 0048
— Monash University Clayton Campus, Faculty of Information Technology, VIC, Australia (and 1 more)
- Jing Liu-Zeng
(aka: Jing Liu 0049) — Tianjin University, Institute of Surface-Earth System Science, School of Earth System Science, China (and 1 more)
- Jing Liu 0050
— Fudan University, Academy for Engineering and Technology, Shanghai, China
- Jing Liu 0051
— Xi'an University of Technology, Department of Electronic Engineering, China
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2020 – today
- 2023
- [j61]Jing Liu, Shengwei Tian, Long Yu, Jun Long, Tiejun Zhou, Bo Wang:
Attention-based multi-modal fusion sarcasm detection. J. Intell. Fuzzy Syst. 44(2): 2097-2108 (2023) - [j60]Fei Liu
, Jing Liu
, Richang Hong
, Hanqing Lu:
Question-Guided Erasing-Based Spatiotemporal Attention Learning for Video Question Answering. IEEE Trans. Neural Networks Learn. Syst. 34(3): 1367-1379 (2023) - 2022
- [j59]Jie Jiang, Jing Liu, Jun Fu, Weining Wang, Hanqing Lu:
Super-resolution semantic segmentation with relation calibrating network. Pattern Recognit. 124: 108501 (2022) - [j58]Xingjian He
, Jing Liu
, Weining Wang
, Hanqing Lu:
An Efficient Sampling-Based Attention Network for Semantic Segmentation. IEEE Trans. Image Process. 31: 2850-2863 (2022) - [j57]Weining Wang
, Tianwei Lin, Dongliang He, Fu Li, Shilei Wen, Liang Wang, Jing Liu
:
Semi-Supervised Temporal Action Proposal Generation via Exploiting 2-D Proposal Map. IEEE Trans. Multim. 24: 3624-3635 (2022) - [j56]Jie Jiang
, Jing Liu
, Jun Fu
, Xinxin Zhu, Zechao Li
, Hanqing Lu:
Global-Guided Selective Context Network for Scene Parsing. IEEE Trans. Neural Networks Learn. Syst. 33(4): 1752-1764 (2022) - [i15]Zijia Zhao, Longteng Guo, Xingjian He, Shuai Shao, Zehuan Yuan, Jing Liu:
MAMO: Masked Multimodal Modeling for Fine-Grained Vision-Language Representation Learning. CoRR abs/2210.04183 (2022) - 2021
- [j55]Jiangyun Li
, Yikai Zhao
, Xingjian He, Xinxin Zhu
, Jing Liu
:
Dynamic Warping Network for Semantic Video Segmentation. Complex. 2021: 6680509:1-6680509:10 (2021) - [j54]Fei Liu
, Jing Liu
, Zhiwei Fang, Richang Hong
, Hanqing Lu:
Visual Question Answering With Dense Inter- and Intra-Modality Interactions. IEEE Trans. Multim. 23: 3518-3529 (2021) - [j53]Jun Fu
, Jing Liu
, Jie Jiang
, Yong Li, Yongjun Bao, Hanqing Lu:
Scene Segmentation With Dual Relation-Aware Attention Network. IEEE Trans. Neural Networks Learn. Syst. 32(6): 2547-2560 (2021) - [c100]Xingjian He, Jing Liu, Jun Fu, Xinxin Zhu, Jinqiao Wang, Hanqing Lu:
Consistent-Separable Feature Representation for Semantic Segmentation. AAAI 2021: 1531-1539 - [c99]Fei Liu, Jing Liu, Weining Wang, Hanqing Lu:
HAIR: Hierarchical Visual-Semantic Relational Reasoning for Video Question Answering. ICCV 2021: 1678-1687 - [c98]Wenzhu Wu, Weining Wang, Longteng Guo, Jing Liu:
Keypoint Context Aggregation for Human Pose Estimation. ICIG (2) 2021: 386-396 - [c97]Hao Wang, Weining Wang, Jing Liu:
Temporal Memory Attention for Video Semantic Segmentation. ICIP 2021: 2254-2258 - [c96]Sihan Chen, Xinxin Zhu, Dongze Hao, Wei Liu, Jiawei Liu, Zijia Zhao, Longteng Guo, Jing Liu:
MM21 Pre-training for Video Understanding Challenge: Video Captioning with Pretraining Techniques. ACM Multimedia 2021: 4853-4857 - [i14]Longteng Guo, Jing Liu, Xinxin Zhu, Hanqing Lu:
Fast Sequence Generation with Multi-Agent Reinforcement Learning. CoRR abs/2101.09698 (2021) - [i13]Sihan Chen, Xinxin Zhu, Wei Liu, Xingjian He, Jing Liu:
Global-Local Propagation Network for RGB-D Semantic Segmentation. CoRR abs/2101.10801 (2021) - [i12]Wei Liu, Sihan Chen, Longteng Guo, Xinxin Zhu, Jing Liu:
CPTR: Full Transformer Network for Image Captioning. CoRR abs/2101.10804 (2021) - [i11]Hao Wang, Weining Wang, Jing Liu:
Temporal Memory Attention for Video Semantic Segmentation. CoRR abs/2102.08643 (2021) - [i10]Kuan Zhu, Haiyun Guo, Shiliang Zhang, Yaowei Wang, Gaopan Huang, Honglin Qiao, Jing Liu, Jinqiao Wang, Ming Tang:
AAformer: Auto-Aligned Transformer for Person Re-Identification. CoRR abs/2104.00921 (2021) - [i9]Jing Liu, Xinxin Zhu, Fei Liu, Longteng Guo, Zijia Zhao, Mingzhen Sun, Weining Wang, Hanqing Lu, Shiyu Zhou, Jiajun Zhang, Jinqiao Wang:
OPT: Omni-Perception Pre-Trainer for Cross-Modal Understanding and Generation. CoRR abs/2107.00249 (2021) - 2020
- [j52]Jun Fu, Jing Liu
, Yong Li, Yongjun Bao, Weipeng Yan, Zhiwei Fang, Hanqing Lu:
Contextual deconvolution network for semantic segmentation. Pattern Recognit. 101: 107152 (2020) - [j51]Longteng Guo
, Jing Liu
, Shichen Lu, Hanqing Lu:
Show, Tell, and Polish: Ruminant Decoding for Image Captioning. IEEE Trans. Multim. 22(8): 2149-2162 (2020) - [c95]Longteng Guo, Jing Liu, Xinxin Zhu, Peng Yao, Shichen Lu, Hanqing Lu:
Normalized and Geometry-Aware Self-Attention Network for Image Captioning. CVPR 2020: 10324-10333 - [c94]Jie Jiang, Jing Liu, Jun Fu, Xinxin Zhu, Hanqing Lu:
Point Set Attention Network For Semantic Segmentation. ICIP 2020: 2186-2190 - [c93]Yanyuan Qiao, Zheng Yu, Jing Liu:
Rankvqa: Answer Re-Ranking For Visual Question Answering. ICME 2020: 1-6 - [c92]Peng Yao, Jiangyun Li, Longteng Guo, Jing Liu:
Modeling Local and Global Contexts for Image Captioning. ICME 2020: 1-6 - [c91]Longteng Guo, Jing Liu, Xinxin Zhu, Xingjian He, Jie Jiang, Hanqing Lu:
Non-Autoregressive Image Captioning with Counterfactuals-Critical Multi-Agent Learning. IJCAI 2020: 767-773 - [c90]Fei Liu, Jing Liu, Xinxin Zhu, Richang Hong, Hanqing Lu:
Dual Hierarchical Temporal Convolutional Network with QA-Aware Dynamic Normalization for Video Story Question Answering. ACM Multimedia 2020: 4253-4261 - [i8]Longteng Guo, Jing Liu, Xinxin Zhu, Peng Yao, Shichen Lu, Hanqing Lu:
Normalized and Geometry-Aware Self-Attention Network for Image Captioning. CoRR abs/2003.08897 (2020) - [i7]Longteng Guo, Jing Liu, Xinxin Zhu, Xingjian He, Jie Jiang, Hanqing Lu:
Non-Autoregressive Image Captioning with Counterfactuals-Critical Multi-Agent Learning. CoRR abs/2005.04690 (2020) - [i6]Xinxin Zhu, Weining Wang, Longteng Guo, Jing Liu:
AutoCaption: Image Captioning with Neural Architecture Search. CoRR abs/2012.09742 (2020)
2010 – 2019
- 2019
- [j50]Jiangyun Li
, Yikai Zhao, Jun Fu, Jiajia Wu, Jing Liu:
Attention-Guided Network for Semantic Video Segmentation. IEEE Access 7: 140680-140689 (2019) - [j49]Zhiwei Fang, Jing Liu, Yong Li, Yanyuan Qiao, Hanqing Lu:
Improving visual question answering using dropout and enhanced question encoder. Pattern Recognit. 90: 404-414 (2019) - [j48]Zhiwei Fang, Jing Liu, Xueliang Liu, Qu Tang, Yong Li, Hanqing Lu:
BTDP: Toward Sparse Fusion with Block Term Decomposition Pooling for Visual Question Answering. ACM Trans. Multim. Comput. Commun. Appl. 15(2s): 50:1-50:21 (2019) - [c89]Jun Fu, Jing Liu, Haijie Tian, Yong Li, Yongjun Bao, Zhiwei Fang, Hanqing Lu:
Dual Attention Network for Scene Segmentation. CVPR 2019: 3146-3154 - [c88]Longteng Guo, Jing Liu, Peng Yao, Jiangwei Li, Hanqing Lu:
MSCap: Multi-Style Image Captioning With Unpaired Stylized Text. CVPR 2019: 4204-4213 - [c87]Jun Fu, Jing Liu, Yuhang Wang, Yong Li, Yongjun Bao, Jinhui Tang
, Hanqing Lu:
Adaptive Context Network for Scene Parsing. ICCV 2019: 6747-6756 - [c86]Fei Liu, Jing Liu, Zhiwei Fang, Hanqing Lu:
Language and Visual Relations Encoding for Visual Question Answering. ICIP 2019: 3307-3311 - [c85]Fei Liu, Jing Liu, Zhiwei Fang, Richang Hong, Hanqing Lu:
Densely Connected Attention Flow for Visual Question Answering. IJCAI 2019: 869-875 - [c84]Longteng Guo, Jing Liu, Jinhui Tang
, Jiangwei Li, Wei Luo, Hanqing Lu:
Aligning Linguistic Words and Visual Semantic Units for Image Captioning. ACM Multimedia 2019: 765-773 - [c83]Fei Liu, Jing Liu, Richang Hong, Hanqing Lu:
Erasing-based Attention Learning for Visual Question Answering. ACM Multimedia 2019: 1175-1183 - [i5]Longteng Guo, Jing Liu, Jinhui Tang, Jiangwei Li, Wei Luo, Hanqing Lu:
Aligning Linguistic Words and Visual Semantic Units for Image Captioning. CoRR abs/1908.02127 (2019) - [i4]Xinxin Zhu, Longteng Guo, Peng Yao, Jing Liu, Shichen Lu, Zheng Yu, Wei Liu, Hanqing Lu:
Multi-View Features and Hybrid Reward Strategies for Vatex Video Captioning Challenge 2019. CoRR abs/1910.11102 (2019) - [i3]Jun Fu, Jing Liu, Yuhang Wang, Yong Li, Yongjun Bao, Jinhui Tang, Hanqing Lu:
Adaptive Context Network for Scene Parsing. CoRR abs/1911.01664 (2019) - 2018
- [j47]Jing Liu
, Yuhang Wang, Yong Li, Jun Fu, Jiangyun Li, Hanqing Lu:
Collaborative Deconvolutional Neural Networks for Joint Depth Estimation and Semantic Segmentation. IEEE Trans. Neural Networks Learn. Syst. 29(11): 5655-5666 (2018) - [c82]Zhiwei Fang, Jing Liu, Qu Tang, Yong Li, Hanqing Lu:
Answer Distillation for Visual Question Answering. ACCV (1) 2018: 72-87 - [c81]Fei Liu, Jing Liu, Jun Fu, Hanqing Lu:
Improving Residual Block for Semantic Image Segmentation. BigMM 2018: 1-5 - [c80]Zhiwei Fang, Jing Liu, Yanyuan Qiao, Qu Tang, Yong Li, Hanqing Lu:
Enhancing Visual Question Answering Using Dropout. ACM Multimedia 2018: 1002-1010 - [i2]Jun Fu, Jing Liu, Haijie Tian, Zhiwei Fang, Hanqing Lu:
Dual Attention Network for Scene Segmentation. CoRR abs/1809.02983 (2018) - 2017
- [j46]Yuhang Wang, Jing Liu, Yong Li, Jun Fu, Min Xu
, Hanqing Lu:
Hierarchically Supervised Deconvolutional Network for Semantic Video Segmentation. Pattern Recognit. 64: 437-445 (2017) - [j45]Chunjie Zhang
, Chao Liang, Liang Li
, Jing Liu, Qingming Huang, Qi Tian:
Fine-Grained Image Classification via Low-Rank Sparse Coding With General and Class-Specific Codebooks. IEEE Trans. Neural Networks Learn. Syst. 28(7): 1550-1559 (2017) - [c79]Zhenwei Shen
, Zhiwei Fang
, Jing Liu
:
Same-Style Products Mining for Clothes Retrieval. ICIMCS 2017: 449-458 - [c78]Jun Fu, Jing Liu, Yuhang Wang, Hanqing Lu:
Densely connected deconvolutional network for semantic segmentation. ICIP 2017: 3085-3089 - [c77]Longteng Guo, Jing Liu, Yuhang Wang, Zhonghua Luo, Wei Wen, Hanqing Lu:
Sketch-based Image Retrieval using Generative Adversarial Networks. ACM Multimedia 2017: 1267-1268 - [i1]Jun Fu, Jing Liu, Yuhang Wang, Hanqing Lu:
Stacked Deconvolutional Network for Semantic Segmentation. CoRR abs/1708.04943 (2017) - 2016
- [j44]Yong Li, Jing Liu, Zechao Li, Hanqing Lu, Songde Ma:
Object co-segmentation via salient and common regions discovery. Neurocomputing 172: 225-234 (2016) - [j43]Yu Jiang, Jing Liu, Hanqing Lu:
Chat with illustration. Multim. Syst. 22(1): 5-16 (2016) - [j42]Zechao Li, Jinhui Tang
, Xueming Wang, Jing Liu, Hanqing Lu:
Multimedia News Summarization in Search. ACM Trans. Intell. Syst. Technol. 7(3): 33:1-33:20 (2016) - [j41]Jing Liu, Yu Jiang, Zechao Li, Xi Zhang, Hanqing Lu:
Domain-Sensitive Recommendation with User-Item Subgroup Analysis. IEEE Trans. Knowl. Data Eng. 28(4): 939-950 (2016) - [c76]Jing Liu, Yu Jiang, Zechao Li, Xi Zhang, Hanqing Lu:
Domain-sensitive Recommendation with user-item subgroup analysis. ICDE 2016: 1466-1467 - [c75]Zhiwei Fang, Jing Liu, Yuhang Wang, Yong Li, Hang Song, Jinhui Tang
, Hanqing Lu:
Object-aware Deep Network for Commodity Image Retrieval. ICMR 2016: 405-408 - [c74]Yuhang Wang, Jing Liu, Yong Li, Junjie Yan, Hanqing Lu:
Objectness-aware Semantic Segmentation. ACM Multimedia 2016: 307-311 - 2015
- [j40]Bingyuan Liu, Jing Liu, Hanqing Lu:
Learning representative and discriminative image representation by deep appearance and spatial coding. Comput. Vis. Image Underst. 136: 23-31 (2015) - [j39]Yifan Zhang, Zhiqiang Tang, Chunjie Zhang, Jing Liu, Hanqing Lu:
Automatic face annotation in TV series by video/script alignment. Neurocomputing 152: 316-321 (2015) - [j38]Chunjie Zhang
, Xiaobin Zhu, Liang Li
, Yifan Zhang, Jing Liu, Qingming Huang, Qi Tian:
Joint image representation and classification in random semantic spaces. Neurocomputing 156: 79-85 (2015) - [j37]Chunjie Zhang
, Jian Cheng, Yifan Zhang, Jing Liu, Chao Liang, Junbiao Pang, Qingming Huang, Qi Tian:
Image classification using boosted local features with random orientation and location selection. Inf. Sci. 310: 118-129 (2015) - [j36]Yang Liu, Zechao Li, Jing Liu, Hanqing Lu:
Boosted MIML method for weakly-supervised image semantic segmentation. Multim. Tools Appl. 74(2): 543-559 (2015) - [j35]Zechao Li, Jing Liu, Jinhui Tang
, Hanqing Lu:
Robust Structured Subspace Learning for Data Representation. IEEE Trans. Pattern Anal. Mach. Intell. 37(10): 2085-2098 (2015) - [j34]Jing Liu, Bingyuan Liu, Hanqing Lu:
Detection guided deconvolutional network for hierarchical feature learning. Pattern Recognit. 48(8): 2645-2655 (2015) - [j33]Changsheng Li, Qingshan Liu, Weishan Dong, Xiaobin Zhu, Jing Liu, Hanqing Lu:
Human Age Estimation Based on Locality and Ordinal Information. IEEE Trans. Cybern. 45(11): 2522-2534 (2015) - [j32]Chunjie Zhang
, Jian Cheng, Jing Liu, Junbiao Pang, Qingming Huang, Qi Tian:
Beyond Explicit Codebook Generation: Visual Representation Using Implicitly Transferred Codebooks. IEEE Trans. Image Process. 24(12): 5777-5788 (2015) - [j31]Jing Liu, Yu Jiang, Zechao Li, Zhi-Hua Zhou, Hanqing Lu:
Partially Shared Latent Factor Learning With Multiview Data. IEEE Trans. Neural Networks Learn. Syst. 26(6): 1233-1246 (2015) - [j30]Changsheng Li, Qingshan Liu, Jing Liu, Hanqing Lu:
Ordinal Distance Metric Learning for Image Ranking. IEEE Trans. Neural Networks Learn. Syst. 26(7): 1551-1559 (2015) - [c73]Yong Li, Jing Liu, Yuhang Wang, Bingyuan Liu, Jun Fu, Yunze Gao, Hui Wu, Hang Song, Peng Ying, Hanqing Lu:
Hybrid Learning Framework for Large-Scale Web Image Annotation and Localization. CLEF (Working Notes) 2015 - [c72]Wei Fu, Chaoyang Zhao, Jinqiao Wang, Jing Liu, Jian Cheng, Hanqing Lu:
Concurrent group activity classification with context modeling. ICIMCS 2015: 9:1-9:4 - [c71]Yuhang Wang, Jing Liu, Jinqiao Wang, Yong Li, Hanqing Lu:
Color names learning using convolutional neural networks. ICIP 2015: 217-221 - [c70]Peng Ying, Jing Liu, Hanqing Lu:
Dictionary learning based superpixels clustering for weakly-supervised semantic segmentation. ICIP 2015: 4258-4262 - [c69]Yong Li, Jing Liu, Yuhang Wang, Hanqing Lu, Songde Ma:
Weakly Supervised RBM for Semantic Segmentation. IJCAI 2015: 1888-1894 - [c68]Yingying Chen, Jinqiao Wang, Jing Liu, Hanqing Lu:
Mobile Media Thumbnailing. ICMR 2015: 665-666 - [c67]Yuhang Wang, Jing Liu, Yong Li, Hanqing Lu:
Semi- and Weakly- Supervised Semantic Segmentation with Deep Convolutional Neural Networks. ACM Multimedia 2015: 1223-1226 - [c66]Peng Ying, Jing Liu, Hanqing Lu, Songde Ma:
Exclusive Constrained Discriminative Learning for Weakly-Supervised Semantic Segmentation. ACM Multimedia 2015: 1251-1254 - 2014
- [j29]Chunjie Zhang
, Jing Liu, Chao Liang, Zhe Xue, Junbiao Pang, Qingming Huang:
Image classification by non-negative sparse coding, correlation constrained low-rank and sparse decomposition. Comput. Vis. Image Underst. 123: 14-22 (2014) - [j28]Zechao Li, Jing Liu, Jinhui Tang
, Hanqing Lu:
Projective Matrix Factorization with unified embedding for social image tagging. Comput. Vis. Image Underst. 124: 71-78 (2014) - [j27]Chunjie Zhang
, Jian Cheng, Jing Liu, Junbiao Pang, Chao Liang, Qingming Huang, Qi Tian:
Object categorization in sub-semantic space. Neurocomputing 142: 248-255 (2014) - [j26]Bingyuan Liu, Jing Liu, Hanqing Lu:
Adaptive spatial partition learning for image classification. Neurocomputing 142: 282-290 (2014) - [j25]Jing Liu, Zechao Li, Hanqing Lu:
Sparse semantic metric learning for image retrieval. Multim. Syst. 20(6): 635-643 (2014) - [j24]Xiaobin Zhu, Jing Liu, Jinqiao Wang, Hanqing Lu:
Key observation selection-based effective video synopsis for camera network. Mach. Vis. Appl. 25(1): 145-157 (2014) - [j23]Yu Jiang, Jing Liu, Zechao Li, Hanqing Lu:
Semi-supervised Unified Latent Factor learning with multi-view data. Mach. Vis. Appl. 25(7): 1635-1645 (2014) - [j22]Xiaobin Zhu, Jing Liu, Jinqiao Wang, Changsheng Li, Hanqing Lu:
Sparse representation for robust abnormality detection in crowded scenes. Pattern Recognit. 47(5): 1791-1799 (2014) - [j21]Chunjie Zhang
, Chao Liang, Junbiao Pang, Yifan Zhang, Jing Liu, Lei Qin, Qingming Huang:
Undoing the codebook bias by linear transformation with sparsity and F-norm constraints for image classification. Pattern Recognit. Lett. 45: 197-204 (2014) - [j20]Yong Li, Jing Liu, Hanqing Lu, Songde Ma:
Learning Robust Face Representation With Classwise Block-Diagonal Structure. IEEE Trans. Inf. Forensics Secur. 9(12): 2051-2062 (2014) - [j19]Zechao Li, Jing Liu, Yi Yang, Xiaofang Zhou
, Hanqing Lu:
Clustering-Guided Sparse Structural Learning for Unsupervised Feature Selection. IEEE Trans. Knowl. Data Eng. 26(9): 2138-2150 (2014) - [j18]Jing Liu, Zechao Li, Jinhui Tang
, Yu Jiang, Hanqing Lu:
Personalized Geo-Specific Tag Recommendation for Photos on Social Websites. IEEE Trans. Multim. 16(3): 588-600 (2014) - [c65]Cam-Tu Nguyen, Xiaoliang Wang, Jing Liu, Zhi-Hua Zhou:
Labeling Complicated Objects: Multi-View Multi-Instance Multi-Label Learning. AAAI 2014: 2013-2019 - [c64]Yong Li, Jing Liu, Zechao Li, Yangmuzi Zhang, Hanqing Lu, Songde Ma:
Learning Low-Rank Representations with Classwise Block-Diagonal Structure for Robust Face Recognition. AAAI 2014: 2810-2816 - [c63]Bingyuan Liu, Jing Liu, Jinqiao Wang, Hanqing Lu:
Learning a Representative and Discriminative Part Model with Deep Convolutional Features for Scene Recognition. ACCV (1) 2014: 643-658 - [c62]Bingyuan Liu, Jing Liu, Zechao Li, Hanqing Lu:
Image Representation Learning by Deep Appearance and Spatial Coding. ACCV (1) 2014: 659-672 - [c61]Bingyuan Liu, Jing Liu, Xiao Bai, Hanqing Lu:
Regularized Hierarchical Feature Learning with Non-negative Sparsity and Selectivity for Image Classification. ICPR 2014: 4293-4298 - 2013
- [j17]Zechao Li, Jing Liu, Hanqing Lu:
Structure preserving non-negative matrix factorization for dimensionality reduction. Comput. Vis. Image Underst. 117(9): 1175-1189 (2013) - [j16]Zechao Li, Jing Liu, Hanqing Lu:
Nonlinear matrix factorization with unified embedding for social tag relevance learning. Neurocomputing 105: 38-44 (2013) - [j15]Jing Liu, Yifan Zhang, Zechao Li, Hanqing Lu:
Correlation consistency constrained probabilistic matrix factorization for social tag refinement. Neurocomputing 119: 3-9 (2013) - [j14]Chunjie Zhang
, Jing Liu, Qi Tian, Chao Liang, Qingming Huang:
Beyond visual features: A weak semantic image representation using exemplar classifiers for classification. Neurocomputing 120: 318-324 (2013) - [j13]Chunjie Zhang
, Shuhui Wang, Qingming Huang, Chao Liang, Jing Liu, Qi Tian:
Laplacian affine sparse coding with tilt and orientation consistency for image classification. J. Vis. Commun. Image Represent. 24(7): 786-793 (2013) - [j12]Zechao Li, Jing Liu, Changsheng Xu, Hanqing Lu:
MLRank: Multi-correlation Learning to Rank for image annotation. Pattern Recognit. 46(10): 2700-2710 (2013) - [j11]Chunjie Zhang
, Shuhui Wang, Qingming Huang, Jing Liu, Chao Liang, Qi Tian:
Image classification using spatial pyramid robust sparse coding. Pattern Recognit. Lett. 34(9): 1046-1052 (2013) - [j10]Changsheng Li, Qingshan Liu, Jing Liu, Hanqing Lu:
Ordinal regularized manifold feature extraction for image ranking. Signal Process. 93(6): 1651-1661 (2013) - [j9]Chunjie Zhang
, Jing Liu, Chao Liang, Qingming Huang, Qi Tian:
Image classification using Harr-like transformation of local features with coding residuals. Signal Process. 93(8): 2111-2118 (2013) - [j8]Zechao Li, Jing Liu, Meng Wang, Changsheng Xu, Hanqing Lu:
Enhancing news organization for convenient retrieval and browsing. ACM Trans. Multim. Comput. Commun. Appl. 10(1): 1:1-1:20 (2013) - [c60]Yang Liu, Jing Liu, Zechao Li, Jinhui Tang
, Hanqing Lu:
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