基本信息

刘静  研究员  中科院自动化研究所 

国家优秀青年科学基金获得者


电子邮件: jliu@nlpr.ia.ac.cn
通信地址: 北京海淀中关村东路95号智能化大厦1302
邮政编码: 100190

研究领域

视频图像分析与理解;视觉与语言;多媒体分析与检索

招生信息

   
招生专业
081104-模式识别与智能系统
081203-计算机应用技术
招生方向

网络图像分析、理解与检索
基于深度学习的目标分类、检测与分割
图像文本描述与视觉问答

招生要求
专业背景不限,但需对科研怀有强烈的兴趣,具有良好的数学基础、编程能力以及自主学习能力。 
由于招生数量有限,希望提前与我联系。 
另招收少量实习生,要求计算机相关专业的在读本科或研究生,具有较强的编程能力,实习期半年以上者优先。

教育背景

2004-09--2008-01 中国科学院自动化研究所 博士
2001-09--2004-06 山东大学 硕士
1997-09--2001-06 山东大学 本科

工作经历

2015-11--至今        中国科学院自动化研究所 模式识别国家重点实验室 研究员

2010-11--2015-10 中国科学院自动化研究所 模式识别国家重点实验室 副研究员

2008-01--2010-10 中国科学院自动化研究所 模式识别国家重点实验室 助理研究员

论文发表

   
发表论文
[1] Jie Jiang, Jing Liu, Lu, Hanqing. Global-Guided Selective Context Network for Scene Parsing. IEEE Trans. Neural Networks Learn. Syst[J]. 2022, 33(4): 1752-1764, [2] Xingjian He, Jing Liu, Wei-Ning Wang, Hanqing Lu. Xingjian He, Jing Liu, Wei-Ning Wang, Hanqing Lu: An Efficient Sampling-Based Attention Network for Semantic Segmentation. IEEE Trans. Image Process[J]. 2022, 31: 2850-2863, [3] He Xingjian, Liu Jing, Fu Jun, Zhu Xinxin, Wang, Jinqiao, Lu Hanqing. Consistent-Separable Feature Representation for Semantic Segmentation. AAAInull. 2021, [4] Fu, Jun, Liu, Jing, Jiang, Jie, Li, Yong, Bao, Yongjun, Lu, Hanqing. Scene Segmentation With Dual Relation-Aware Attention Network. IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS[J]. 2021, 32(6): 2547-2560, [5] Wang, Hao, Wang, Weining, Liu, Jing. Temporal Memory Attention for Video Semantic Segmentation. ICIPnull. 2021, http://arxiv.org/abs/2102.08643.
[6] Sihan Chen, Liu Jing. MM21Pre-training for Video Understanding Challenge: Video Captioning with Pretraining Techniques. ACM MM[J]. 2021, [7] Liu, Fei, Liu, Jing, Fang, Zhiwei, Hong, Richang, Lu, Hanqing. Visual Question Answering With Dense Inter- and Intra-Modality Interactions. IEEE TRANSACTIONS ON MULTIMEDIA[J]. 2021, 23: 3518-3529, [8] Fei Liu, Lu Hanqing, Jing Liu. HAIR: Hierarchical Visual-Semantic Relational Reasoning for Video Question Answering. ICCV[J]. 2021, [9] Guo, Longteng, Liu, Jing, Zhu, Xinxin, He, Xingjian, Jiang, Jie, Lu, Hanqing. Non-Autoregressive Image Captioning with Counterfactuals-Critical Multi-Agent Learning. 2020, http://arxiv.org/abs/2005.04690.
[10] Jiang, Jie, Liu, Jing, Fu, Jun, Zhu, Xinxin, Lu, Hanqing, IEEE. POINT SET ATTENTION NETWORK FOR SEMANTIC SEGMENTATION. 2020 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP)[J]. 2020, 2186-2190, [11] Qiao, Yanyuan, Yu, Zheng, Liu, Jing, IEEE. RANKVQA: ANSWER RE-RANKING FOR VISUAL QUESTION ANSWERING. 2020 IEEE INTERNATIONAL CONFERENCE ON MULTIMEDIA AND EXPO (ICME)[J]. 2020, [12] Guo Longteng, Liu Jing, Zhu Xinxin, Yao Peng, Lu Shichen, Lu Hanqing. Normalized and Geometry-Aware Self-Attention Network for Image Captioning. 2020, http://arxiv.org/abs/2003.08897.
[13] Liu, Jing, Li, Linlin, Yang, Yang, Hong, Bei, Chen, Xi, Xie, Qiwei, Han, Hua. Automatic Reconstruction of Mitochondria and Endoplasmic Reticulum in Electron Microscopy Volumes by Deep Learning. FRONTIERS IN NEUROSCIENCE[J]. 2020, 14: https://doaj.org/article/15d204a109b54f9b9ae112dcf4e2ab6d.
[14] Yao, Peng, Li, Jiangyun, Guo, Longteng, Liu, Jing, IEEE. MODELING LOCAL AND GLOBAL CONTEXTS FOR IMAGE CAPTIONING. 2020 IEEE INTERNATIONAL CONFERENCE ON MULTIMEDIA AND EXPO (ICME)null. 2020, [15] Lu Hanqing. Dual Hierarchical Temporal Convolutional Network with QA-Aware Dynamic Normalization for Video Story Question Answering. ACM MM. 2020, [16] Fu, Jun, Liu, Jing, Li, Yong, Bao, Yongjun, Yan, Weipeng, Fang, Zhiwei, Lu, Hanqing. Contextual deconvolution network for semantic segmentation. PATTERN RECOGNITION[J]. 2020, 101: http://dx.doi.org/10.1016/j.patcog.2019.107152.
[17] Guo, Longteng, Liu, Jing, Lu, Shichen, Lu, Hanqing. Show, Tell, and Polish: Ruminant Decoding for Image Captioning. IEEE TRANSACTIONS ON MULTIMEDIA[J]. 2020, 22(8): 2149-2162, http://dx.doi.org/10.1109/TMM.2019.2951226.
[18] Qiao, Yanyuan, Yu, Zheng, Liu, Jing, IEEE. VC-VQA: VISUAL CALIBRATION MECHANISM FOR VISUAL QUESTION ANSWERING. 2020 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP)null. 2020, 1481-1485, [19] Liu Jing. Visual Question Answering with Dense Inter-and Intra-modality Interactions. IEEE Transactions on Multimedia. 2020, [20] 曹峰梅, 田海杰, 付君, 刘静. 结合特征图切分的图像语义分割. 中国图象图形学报[J]. 2019, 464-473, http://lib.cqvip.com/Qikan/Article/Detail?id=90718466504849574851484951.
[21] Lu, Shichen, Hu, Ruimin, Liu, Jing, Guo, Longteng, Zheng, Fei. Structure Preserving Convolutional Attention for Image Captioning. APPLIED SCIENCES-BASEL[J]. 2019, 9(14): http://dx.doi.org/10.3390/app9142888.
[22] Fang, Zhiwei, Liu, Jing, Li, Yong, Qiao, Yanyuan, Lu, Hanqing. Improving visual question answering using dropout and enhanced question encoder. PATTERN RECOGNITION[J]. 2019, 90(1): 404-414, http://ir.ia.ac.cn/handle/173211/23483.
[23] Liu Jing. Densely Connected Attention Flow for Visual Question Answering. IJCAI. 2019, [24] Liu Jing. Multi-StyleGAN: Multi-Style Image Captioning from Non-Parallel Data using GANs and Back-Translation. CVPR. 2019, [25] Fu, Jun, Liu, Jing, Tian, Haijie, Li, Yong, Bao, Yongjun, Fang, Zhiwei, Lu, Hanqing, IEEE Comp Soc. Dual Attention Network for Scene Segmentation. 2019 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR 2019)null. 2019, 3141-3149, [26] Fang Zhiwei, Liu Jing, Tang Qu, Li Yong, Lu Hanqing, Jawahar CV, Li H, Mori G, Schindler K. Answer Distillation for Visual Question Answering. COMPUTER VISION - ACCV 2018, PT Inull. 2019, 11361: 72-87, [27] Fu, Jun, Liu, Jing, Wang, Yuhang, Li, Yong, Bao, Yongjun, Tang, Jinhui, Lu, Hanqing, IEEE. Adaptive Context Network for Scene Parsing. 2019 IEEE/CVF INTERNATIONAL CONFERENCE ON COMPUTER VISION (ICCV 2019)null. 2019, 6747-6756, [28] Liu, Fei, Liu, Jing, Fang, Zhiwei, Lu, Hanqing, IEEE. LANGUAGE AND VISUAL RELATIONS ENCODING FOR VISUAL QUESTION ANSWERING. 2019 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP)null. 2019, 3307-3311, [29] Liu, Fei, Liu, Jing, Hong, Richang, Lu, Hanqing, ACM. Erasing-based Attention Learning for Visual Question Answering. PROCEEDINGS OF THE 27TH ACM INTERNATIONAL CONFERENCE ON MULTIMEDIA (MM'19)null. 2019, 1175-1183, http://dx.doi.org/10.1145/3343031.3350993.
[30] Fang Zhiwei, Liu Jing, Tang Qu, Li Yong, Lu Hanqing. Answer Distillation for Visual Question Answering. 2019, http://ir.ia.ac.cn/handle/173211/23599.
[31] Li, Jiangyun, Zhao, Yikai, Fu, Jun, Wu, Jiajia, Liu, Jing. Attention-Guided Network for Semantic Video Segmentation. IEEE ACCESS[J]. 2019, 7: 140680-140689, https://doaj.org/article/88a462afd2bd4bdaa45ce252748b6cc2.
[32] Fang, Zhiwei, Liu, Jing, Liu, Xueliang, Tang, Qu, Li, Yong, Lu, Hanqing. BTDP: Toward Sparse Fusion with Block Term Decomposition Pooling for Visual Question Answering. ACM TRANSACTIONS ON MULTIMEDIA COMPUTING COMMUNICATIONS AND APPLICATIONS[J]. 2019, 15(2): http://dx.doi.org/10.1145/3282469.
[33] Guo, Longteng, Liu, Jing, Yao, Peng, Li, Jiangwei, Lu, Hanqing, IEEE Comp Soc. MSCap: Multi-Style Image Captioning with Unpaired Stylized Text. 2019 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR 2019)null. 2019, 4199-4208, [34] 刘静, Shen Zhenwei, Fang Zhiwei. Same-Style Products Mining for Clothes Retrieval. 2018, http://ir.ia.ac.cn/handle/173211/20768.
[35] Xiao Chi, Liu Jing, Chen Xi, Han Hua, Shu Chang, Xie Qiwei, IEEE. DEEP CONTEXTUAL RESIDUAL NETWORK FOR ELECTRON MICROSCOPY IMAGE SEGMENTATION IN CONNECTOMICS. 2018 IEEE 15TH INTERNATIONAL SYMPOSIUM ON BIOMEDICAL IMAGING (ISBI 2018)null. 2018, 378-381, [36] Liu, Fei, Liu, Jing, Fu, Jun, Lu, Hanqing, IEEE. Improving Residual Block for Semantic Image Segmentation. 2018 IEEE FOURTH INTERNATIONAL CONFERENCE ON MULTIMEDIA BIG DATA (BIGMM)null. 2018, http://apps.webofknowledge.com/CitedFullRecord.do?product=UA&colName=WOS&SID=5CCFccWmJJRAuMzNPjj&search_mode=CitedFullRecord&isickref=WOS:000630423400071.
[37] Fang Zhiwei, Liu Jing, Qiao Yanyuan, Tang Qu, Li Yong, Lu Hanqing, ACM. Enhancing Visual Question Answering Using Dropout. PROCEEDINGS OF THE 2018 ACM MULTIMEDIA CONFERENCE (MM'18)null. 2018, 1002-1010, http://dx.doi.org/10.1145/3240508.3240662.
[38] Xiao Chi, Liu Jing, Chen Xi, Han Hua, Shu Chang, Xie Qiwei, IEEE. DEEP CONTEXTUAL RESIDUAL NETWORK FOR ELECTRON MICROSCOPY IMAGE SEGMENTATION IN CONNECTOMICS. 2018 IEEE 15TH INTERNATIONAL SYMPOSIUM ON BIOMEDICAL IMAGING (ISBI 2018)null. 2018, 378-381, [39] Zhu, Xinxin, Li, Lixiang, Liu, Jing, Li, Ziyi, Peng, Haipeng, Niu, Xinxin. Image captioning with triple-attention and stack parallel LSTM. NEUROCOMPUTING[J]. 2018, 319: 55-65, http://dx.doi.org/10.1016/j.neucom.2018.08.069.
[40] Zhu, Xinxin, Li, Lixiang, Liu, Jing, Guo, Longteng, Fang, Zhiwei, Peng, Haipeng, Niu, Xinxin. Image Captioning with Word Gate and Adaptive Self-Critical Learning. APPLIED SCIENCES-BASEL[J]. 2018, 8(6): https://doaj.org/article/a0aef56050d0464ca041692cb29ee181.
[41] Qu Tang, 刘静, Fang Zhiwei, 卢汉清, Li Yong, Qiao Yanyuan. Enhancing Visual Question Answering Using Dropout. 2018, http://ir.ia.ac.cn/handle/173211/23597.
[42] Zhu, Xinxin, Li, Lixiang, Liu, Jing, Peng, Haipeng, Niu, Xinxin. Captioning Transformer with Stacked Attention Modules. APPLIED SCIENCES-BASEL[J]. 2018, 8(5): https://doaj.org/article/69460682056f43cf9ab30d7867b0debd.
[43] Liu, Jing, Wang, Yuhang, Li, Yong, Fu, Jun, Li, Jiangyun, Lu, Hanqing. Collaborative Deconvolutional Neural Networks for Joint Depth Estimation and Semantic Segmentation. IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS[J]. 2018, 29(11): 5655-5666, http://dx.doi.org/10.1109/TNNLS.2017.2787781.
[44] Li, Weifu, Liu, Jing, Xiao, Chi, Deng, Hao, Xie, Qiwei, Han, Hua. A fast forward 3D connection algorithm for mitochondria and synapse segmentations from serial EM images. BIODATA MINING[J]. 2018, 11(1): http://ir.ia.ac.cn/handle/173211/22779.
[45] Liu, Nianfeng, Liu, Jing, Sun, Zhenan, Tan, Tieniu. A Code-Level Approach to Heterogeneous Iris Recognition. IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY[J]. 2017, 12(10): 2373-2386, [46] Liu Jing, Wang Yuhang, Guo Longteng, Lu Hanqing, Wen Wei, Luo Zhonghua. Sketch-based Image Retrieval using Generative Adversarial Networks. 2017, http://ir.ia.ac.cn/handle/173211/20120.
[47] Fu, Jun, Liu, Jing, Wang, Yuhang, Lu, Hanqing, IEEE. DENSELY CONNECTED DECONVOLUTIONAL NETWORK FOR SEMANTIC SEGMENTATION. 2017 24TH IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP)null. 2017, 3085-3089, [48] Wang, Yuhang, Liu, Jing, Li, Yong, Fu, Jun, Xu, Min, Lu, Hanqing. Hierarchically Supervised Deconvolutional Network for Semantic Video Segmentation. PATTERN RECOGNITION[J]. 2017, 64(1): 437-445, http://dx.doi.org/10.1016/j.patcog.2016.09.046.
[49] Zhang, Chunjie, Liang, Chao, Li, Liang, Liu, Jing, Huang, Qingming, Tian, Qi. Fine-Grained Image Classification via Low-Rank Sparse Coding With General and Class-Specific Codebooks. IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS[J]. 2017, 28(7): 1550-1559, https://www.webofscience.com/wos/woscc/full-record/WOS:000404048300006.
[50] Liu Jing, Lu Hanqing, Wang Yuhang, Fu Jun. Densely Connected Deconvolutional Network For Senantic Segmentation. 2017, http://ir.ia.ac.cn/handle/173211/20117.
[51] Guo Longteng, Liu Jing, Wang Yuhang, Luo Zhonghua, Wen Wei, Lu Hanqing, ACM. Sketch-based Image Retrieval using Generative Adversarial Networks. PROCEEDINGS OF THE 2017 ACM MULTIMEDIA CONFERENCE (MM'17)null. 2017, 1267-1268, http://dx.doi.org/10.1145/3123266.3127939.
[52] Jiang, Yu, Liu, Jing, Lu, Hanqing. Chat with illustration. MULTIMEDIA SYSTEMS[J]. 2016, 22(1): 5-16, http://ir.ia.ac.cn/handle/173211/10667.
[53] Tongwei Ren, Jing Liu, Jia Bei, BingKun Bao. Depth-aware layered edge for object proposal. 2016, http://ir.ia.ac.cn/handle/173211/19850.
[54] Li, Zechao, Tang, Jinhui, Wang, Xueming, Liu, Jing, Lu, Hanqing. Multimedia News Summarization in Search. ACM TRANSACTIONS ON INTELLIGENT SYSTEMS AND TECHNOLOGY[J]. 2016, 7(3): https://www.webofscience.com/wos/woscc/full-record/WOS:000373911200008.
[55] Hanqing Lu, Junjie Yan, Yong Li, Jing Liu, Yuhang Wang. Objectness-aware Semantic Segmentation. Proceedings of the 2016 ACM on Multimedia Conferencenull. 2016, http://ir.ia.ac.cn/handle/173211/13440.
[56] Fang Zhiwei, Liu Jing, Wang Yuhang, Li Yong, Song Hang, Tang Jinhui, Lui Hanqing, ACM. Object-aware Deep Network for Commodity Image Retrieval. ICMR'16: PROCEEDINGS OF THE 2016 ACM INTERNATIONAL CONFERENCE ON MULTIMEDIA RETRIEVALnull. 2016, 405-408, http://dx.doi.org/10.1145/2911996.2912027.
[57] Liu, Jing, Jiang, Yu, Li, Zechao, Zhang, Xi, Lu, Hanqing. Domain-Sensitive Recommendation with User-Item Subgroup Analysis. IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING[J]. 2016, 28(4): 939-950, http://ir.ia.ac.cn/handle/173211/10725.
[58] Li, Yong, Liu, Jing, Li, Zechao, Lu, Hanqing, Ma, Songde. Object co-segmentation via salient and common regions discovery. NEUROCOMPUTING[J]. 2016, 172(172): 225-234, http://dx.doi.org/10.1016/j.neucom.2014.12.110.
[59] Wang Yuhang, Liu Jing, Li Yong, Yan Junjie, Lu Hanqing, ACM. Objectness-aware Semantic Segmentation. MM'16: PROCEEDINGS OF THE 2016 ACM MULTIMEDIA CONFERENCEnull. 2016, 307-311, http://dx.doi.org/10.1145/2964284.2967232.
[60] Zechao Li, Jinhui Tang, Xueming Wang, Jing Liu, Hanqing Lu. Multimedia News Summarization in Search. ACM Transactions on Intelligent Systems and Technology (TIST). 2016, 7(3): http://kns.cnki.net/KCMS/detail/detail.aspx?QueryID=0&CurRec=1&recid=&FileName=SJCMA9E0EF53F1573B36E5140205DF534B28&DbName=WWMERGEJ01&DbCode=WWME&yx=&pr=&URLID=&bsm=.
[61] Jing Liu, Yong Li, Hang Song, Jinhui Tang, Hanqing Lu, Zhiwei Fang, Yuhang Wang. Object-aware Deep Network for Commodity Image Retrieval. Proceedings of the 2016 ACM on International Conference on Multimedia Retrievalnull. 2016, http://ir.ia.ac.cn/handle/173211/13439.
[62] 卢汉清, 刘静, 黄萱菁. 跨媒体分析的理论和方法. 科技创新导报. 2016, 13(1): 173-174, http://lib.cqvip.com/Qikan/Article/Detail?id=669338460.
[63] Liu, Jing, Liu, Bingyuan, Lu, Hanging. Detection guided deconvolutional network for hierarchical feature learning. PATTERN RECOGNITION[J]. 2015, 48(8): 2645-2655, http://dx.doi.org/10.1016/j.patcog.2015.02.002.
[64] Liu, Bingyuan, Liu, Jing, Lu, Hanging. Learning representative and discriminative image representation by deep appearance and spatial coding. COMPUTER VISION AND IMAGE UNDERSTANDING[J]. 2015, 136(1): 23-31, http://dx.doi.org/10.1016/j.cviu.2015.03.006.
[65] Liu Jing. Weakly-Supervised Image Semantic Segmentation via Joint Dual Clustering and Dictionary Learning. International Conference on Image Processing. 2015, [66] Zhang, Chunjie, Zhu, Xiaobin, Li, Liang, Zhang, Yifan, Liu, Jing, Huang, Qingming, Tian, Qi. Joint image representation and classification in random semantic spaces. NEUROCOMPUTING[J]. 2015, 156: 79-85, http://dx.doi.org/10.1016/j.neucom.2014.12.083.
[67] Liu, Yang, Li, Zechao, Liu, Jing, Lu, Hanqing. Boosted MIML method for weakly-supervised image semantic segmentation. MULTIMEDIA TOOLS AND APPLICATIONS[J]. 2015, 74(2): 543-559, https://www.webofscience.com/wos/woscc/full-record/WOS:000348445300013.
[68] Liu, Jing, Jiang, Yu, Li, Zechao, Zhou, ZhiHua, Lu, Hanqing. Partially Shared Latent Factor Learning With Multiview Data. IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS[J]. 2015, 26(6): 1233-1246, [69] Li, Zechao, Liu, Jing, Tang, Jinhui, Lu, Hanqing. Robust Structured Subspace Learning for Data Representation. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE[J]. 2015, 37(10): 2085-2098, http://ir.ia.ac.cn/handle/173211/8968.
[70] Hanqing Lu, Yong Li, Jing Liu, Yuhang Wang. Semi- and Weakly- Supervised Semantic Segmentation with Deep Convolutional Neural Networks. Proceedings of the 23rd Annual ACM Conference on Multimedia Conferencenull. 2015, http://ir.ia.ac.cn/handle/173211/13444.
[71] Liu, Bingyuan, Liu, Jing, Li, Zechao, Lu, Hanqing, Cremers, D, Reid, I, Saito, H, Yang, MH. Image Representation Learning by Deep Appearance and Spatial Coding. COMPUTER VISION - ACCV 2014, PT Inull. 2015, 9003: 659-672, [72] Liu, Bingyuan, Liu, Jing, Wang, Jingqiao, Lu, Hanqing, Cremers, D, Reid, I, Saito, H, Yang, MH. Learning a Representative and Discriminative Part Model with Deep Convolutional Features for Scene Recognition. COMPUTER VISION - ACCV 2014, PT Inull. 2015, 9003: 643-658, [73] Zhang, Yifan, Tang, Zhiqang, Zhang, Chunjie, Liu, Jing, Lu, Hanqing. Automatic face annotation in TV series by video/script alignment. NEUROCOMPUTING[J]. 2015, 152: 316-321, http://dx.doi.org/10.1016/j.neucom.2014.10.062.
[74] Li, Changsheng, Liu, Qingshan, Dong, Weishan, Zhu, Xiaobin, Liu, Jing, Lu, Hanqing. Human Age Estimation Based on Locality and Ordinal Information. IEEE TRANSACTIONS ON CYBERNETICS[J]. 2015, 45(11): 2522-2534, http://ir.ia.ac.cn/handle/173211/10494.
[75] Yingying Chen, Hanqing Lu, Jing Liu, Jinqiao Wang. Mobile Media Thumbnailing. Proceedings of the 5th ACM on International Conference on Multimedia Retrievalnull. 2015, http://ir.ia.ac.cn/handle/173211/13443.
[76] Chaoyang Zhao, Wei Fu, Hanqing Lu, Jian Cheng, Jing Liu, Jinqiao Wang. Concurrent group activity classification with context modeling. Proceedings of the 7th International Conference on Internet Multimedia Computing and Servicenull. 2015, http://ir.ia.ac.cn/handle/173211/13441.
[77] Ying, Peng, Liu, Jing, Lu, Hanqing, IEEE. DICTIONARY LEARNING BASED SUPERPIXELS CLUSTERING FOR WEAKLY-SUPERVISED SEMANTIC SEGMENTATION. 2015 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP)null. 2015, 4258-4262, [78] Ying Peng, Liu Jing, Lu Hanqing, Ma Songde, ACM. Exclusive Constrained Discriminative Learning for Weakly-Supervised Semantic Segmentation. MM'15: PROCEEDINGS OF THE 2015 ACM MULTIMEDIA CONFERENCEnull. 2015, 1251-1254, http://dx.doi.org/10.1145/2733373.2806329.
[79] Li, Yong, Liu, Jing, Wang, Yuhang, Lu, Hanqing, Ma, Songde, Yang, Q, Wooldridge, M. Weakly Supervised RBM for Semantic Segmentation. PROCEEDINGS OF THE TWENTY-FOURTH INTERNATIONAL JOINT CONFERENCE ON ARTIFICIAL INTELLIGENCE (IJCAI)null. 2015, 1888-1894, http://apps.webofknowledge.com/CitedFullRecord.do?product=UA&colName=WOS&SID=5CCFccWmJJRAuMzNPjj&search_mode=CitedFullRecord&isickref=WOS:000442637801135.
[80] Yong Li, Yuhang Wang, Jing Liu, Hanqing Lu, Songde Ma. Weakly Supervised RBM for Semantic Segmentation. Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligencenull. 2015, http://ir.ia.ac.cn/handle/173211/11766.
[81] Jing Liu, Peng Ying, Hanqing Lu. Dictionary learning based superpixels clustering for weakly-supervised semantic segmentation. 无null. 2015, http://ir.ia.ac.cn/handle/173211/11600.
[82] 卢汉清, 应鹏, 马颂德, 刘静. Exclusive Constrained Discriminative Learning for Weakly-Supervised Semantic Segmentation. ACM Digital Librarynull. 2015, http://ir.ia.ac.cn/handle/173211/11598.
[83] Zhang, Chunjie, Cheng, Jian, Zhang, Yifan, Liu, Jing, Liang, Chao, Pang, Junbiao, Huang, Qingming, Tian, Qi. Image classification using boosted local features with random orientation and location selection. INFORMATION SCIENCES[J]. 2015, 310(310): 118-129, http://dx.doi.org/10.1016/j.ins.2015.03.011.
[84] Wang Yuhang, Liu Jing, Wang Jinqiao, Li Yong, Lu Hanqing, IEEE. COLOR NAMES LEARNING USING CONVOLUTIONAL NEURAL NETWORKS. 2015 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP)null. 2015, 217-221, [85] Wang Yuhang, Liu Jing, Li Yong, Lu Hanqing, ACM. Semi- and Weakly-Supervised Semantic Segmentation with Deep Convolutional Neural Networks. MM'15: PROCEEDINGS OF THE 2015 ACM MULTIMEDIA CONFERENCEnull. 2015, 1223-1226, http://dx.doi.org/10.1145/2733373.2806322.
[86] Hanqing Lu, Yong Li, Jinqiao Wang, Jing Liu, Yuhang Wang. Color names learning using convolutional neural networks. 无null. 2015, http://ir.ia.ac.cn/handle/173211/13442.
[87] Zhang, Chunjie, Cheng, Jian, Liu, Jing, Pang, Junbiao, Huang, Qingming, Tian, Qi. Beyond Explicit Codebook Generation: Visual Representation Using Implicitly Transferred Codebooks. IEEE TRANSACTIONS ON IMAGE PROCESSING[J]. 2015, 24(12): https://www.webofscience.com/wos/woscc/full-record/WOS:000369538200002.
[88] Yunze Gao, Jing Liu, Yuhang Wang, Bingyuan Liu, Jun Fu, Hui Wu, Hang Song, Peng Ying, Hanqing Lu, Yong Li. Hybrid Learning Framework for Large-Scale Web Image Annotation and Localization. CEUR Workshop Proceedings 1391null. 2015, http://ir.ia.ac.cn/handle/173211/11768.
[89] Li, Changsheng, Liu, Qingshan, Liu, Jing, Lu, Hanqing. Ordinal Distance Metric Learning for Image Ranking. IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS[J]. 2015, 26(7): 1551-1559, https://www.webofscience.com/wos/woscc/full-record/WOS:000356506700019.
[90] Zhang, Chunjie, Liang, Chao, Pang, Junbiao, Zhang, Yifan, Liu, Jing, Qin, Lei, Huang, Qingming. Undoing the codebook bias by linear transformation with sparsity and F-norm constraints for image classification. PATTERN RECOGNITION LETTERS[J]. 2014, 45: 197-204, http://dx.doi.org/10.1016/j.patrec.2014.04.002.
[91] Zhang, Chunjie, Liu, Jing, Liang, Chao, Xue, Zhe, Pang, Junbiao, Huang, Qingming. Image classification by non-negative sparse coding, correlation constrained low-rank and sparse decomposition. COMPUTER VISION AND IMAGE UNDERSTANDING[J]. 2014, 123: 14-22, http://dx.doi.org/10.1016/j.cviu.2014.02.013.
[92] Liu, Bingyuan, Liu, Jing, Lu, Hanqing. Adaptive spatial partition learning for image classification. NEUROCOMPUTING[J]. 2014, 142: 282-290, https://www.webofscience.com/wos/woscc/full-record/WOS:000340341400030.
[93] Jiang, Yu, Liu, Jing, Li, Zechao, Lu, Hanqing. Semi-supervised Unified Latent Factor learning with multi-view data. MACHINE VISION AND APPLICATIONS[J]. 2014, 25(7): 1635-1645, https://www.webofscience.com/wos/woscc/full-record/WOS:000342435800002.
[94] Nadia Othman, Akanksha Joshi, Edmundo Hoyle, Peihua Li, Koichi Noda, Man Zhang, Jing Liu, Zhenan Sun, Tieniu Tan, Wu Su, Fernando AlonsoFernandez, Valrian Nmesin. The First ICB Competition on Iris Recognition. International Joint Conference on Biometricsnull. 2014, http://ir.ia.ac.cn/handle/173211/15352.
[95] Jing Liu, Hanqing Lu. Learning a Representative and Discriminative Part Model with Deep Convolutional Features for Scene Recognition. Asian Conference on Computer Vision (ACCV)null. 2014, 643-658, http://ir.ia.ac.cn/handle/173211/4695.
[96] CamTu Nguyen, Wang Xiaoliang, Liu Jing, Zhou ZhiHua, AAAI. Labeling Complicated Objects: Multi-View Multi-Instance Multi-Label Learning. PROCEEDINGS OF THE TWENTY-EIGHTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCEnull. 2014, 2013-2019, http://apps.webofknowledge.com/CitedFullRecord.do?product=UA&colName=WOS&SID=5CCFccWmJJRAuMzNPjj&search_mode=CitedFullRecord&isickref=WOS:000485439702002.
[97] Zhu, Xiaobin, Liu, Jing, Wang, Jinqiao, Lu, Hanqing. Key observation selection-based effective video synopsis for camera network. MACHINE VISION AND APPLICATIONS[J]. 2014, 25(1): 145-157, https://www.webofscience.com/wos/woscc/full-record/WOS:000330314100011.
[98] Li, Zechao, Liu, Jing, Yang, Yi, Zhou, Xiaofang, Lu, Hanqing. Clustering-Guided Sparse Structural Learning for Unsupervised Feature Selection. IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING[J]. 2014, 26(9): 2138-2150, https://www.webofscience.com/wos/woscc/full-record/WOS:000341571100005.
[99] Li, Yong, Liu, Jing, Lu, Hanqing, Ma, Songde. Learning Robust Face Representation With Classwise Block-Diagonal Structure. IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY[J]. 2014, 9(12): 2051-2062, https://www.webofscience.com/wos/woscc/full-record/WOS:000353289900004.
[100] Liu, Jing, Li, Zechao, Lu, Hanqing. Sparse semantic metric learning for image retrieval. MULTIMEDIA SYSTEMS[J]. 2014, 20(6): 635-643, https://www.webofscience.com/wos/woscc/full-record/WOS:000344065400002.

更多详细内容