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2017 Conference Publication An integrated model for effective saliency predictionSun, Xiaoshuai, Huang, Zi, Yin, Hongzhi and Shen, Heng Tao (2017). An integrated model for effective saliency prediction. AAAI Conference on Artificial Intelligence, San Francisco, CA, United States, 4-9 February 2017. Palo Alto, CA, United States: Association for the Advancement of Artificial Intelligence. |
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2017 Conference Publication Leveraging weak semantic relevance for complex video event classificationLi, Chao, Cao, Jiewei, Huang, Zi, Zhu, Lei and Shen, Heng Tao (2017). Leveraging weak semantic relevance for complex video event classification. 16th IEEE International Conference on Computer Vision (ICCV), Venice, Italy, 22-29 October 2017. Piscataway, NJ, United States: IEEE. doi: 10.1109/ICCV.2017.394 |
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2017 Conference Publication Event video mashup: From hundreds of videos to minutes of SkeletonGao, Lianli, Wang, Peng, Song, Jingkuan, Huang, Zi, Shao, Jie and Shen, Heng Tao (2017). Event video mashup: From hundreds of videos to minutes of Skeleton. 31st AAAI Conference on Artificial Intelligence, AAAI 2017, San Francisco, CA., United States, 04-10 February 2017. Palo Alto, CA., United States: AAAI press. |
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2017 Conference Publication Jointly modeling static visual appearance and temporal pattern for unsupervised video hashingLi, Chao, Yang, Yang, Cao, Jiewei and Huang, Zi (2017). Jointly modeling static visual appearance and temporal pattern for unsupervised video hashing. 26th ACM International Conference on Information and Knowledge Management, CIKM 2017, Singapore, Singapore, 06 - 10 November 2017. New York, New York, United States: Association for Computing Machinery. doi: 10.1145/3132847.3133030 |
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2017 Conference Publication Adaptively attending to visual attributes and linguistic knowledge for captioningBin, Yi, Yang, Yang, Zhou, Jie, Huang, Zi and Shen, Heng Tao (2017). Adaptively attending to visual attributes and linguistic knowledge for captioning. 25th ACM International Conference on Multimedia, MM 2017, Mountain View, CA, 23-27 October 2017. New York City, NY, United States: Association for Computing Machinery. doi: 10.1145/3123266.3123391 |
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2017 Conference Publication Multi-attention Network for One Shot LearningWang, Peng, Liu, Lingqiao, Shen, Chunhua, Huang, Zi, van den Hengel, Anton and Shen, Heng Tao (2017). Multi-attention Network for One Shot Learning. 30th IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Honolulu Hi, USA, 21-26 July 2017. Washington, DC United States: IEEE Computer Society. doi: 10.1109/CVPR.2017.658 |
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2017 Conference Publication PrefaceHuang, Zi, Xiao, Xiaokui and Cao, Xin (2017). Preface. 28th Australasian Database Conference, ADC 2017, Brisbane, QLD, Australia, September 25–28, 2017. Cham, Switzerland: Springer. doi: 10.1007/978-3-319-68155-9 |
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2016 Conference Publication Using detected visual objects to index video databaseDu, Xingzhong, Yin, Hongzhi, Huang, Zi, Yang, Yi and Zhou, Xiaofang (2016). Using detected visual objects to index video database. Australasian Database Conference on Databases Theory and Applications, Sydney, Australia, 28-29 September 2016. Heidelberg, Germany: Springer. doi: 10.1007/978-3-319-46922-5_26 |
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2016 Conference Publication Quartet-net learning for visual instance retrievalCao, Jiewei, Huang, Zi, Wang, Peng, Li, Chao, Sun, Xiaoshuai and Shen, Heng Tao (2016). Quartet-net learning for visual instance retrieval. 24th ACM Multimedia Conference, MM 2016, Amsterdam, The Netherlands, 15 - 19 October 2016. New York, NY, United States: Association for Computing Machinery. doi: 10.1145/2964284.2967262 |
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2016 Conference Publication What's Wrong with that Object? Identifying Images of Unusual Objects by Modelling the Detection Score DistributionWang, Peng, Liu, Lingqiao, Shen, Chunhua, Huang, Zi, van den Hengel, Anton and Shen, Heng Tao (2016). What's Wrong with that Object? Identifying Images of Unusual Objects by Modelling the Detection Score Distribution. 29th IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), Las Vegas Nv, 26 June - 1 July 2016. Piscataway NJ, United States: IEEE. doi: 10.1109/CVPR.2016.174 |
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2016 Conference Publication A unified framework for discrete spectral clusteringYang, Yang, Fumin, Shen, Zi, Huang and Shen, Heng Tao (2016). A unified framework for discrete spectral clustering. 25th International Joint Conference on Artificial Intelligence, IJCAI 2016, New York, NY, 9-15 July 2016. International Joint Conferences on Artificial Intelligence. |
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2016 Conference Publication Supervised robust discrete multimodal hashing for cross-media retrievalYan, Ting-Kun, Xu, Xin-Shun, Guo, Shanqing, Huang, Zi and Wang, Xiao-Lin (2016). Supervised robust discrete multimodal hashing for cross-media retrieval. 25th ACM International Conference on Information and Knowledge Management, CIKM 2016, Indianapolis, IN, United States, 24 - 28 October 2016. New York, NY, United States: ACM. doi: 10.1145/2983323.2983743 |
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2015 Conference Publication What are popular: Exploring twitter features for event detection, tracking and visualizationCai, Hongyun, Yang, Yang, Li, Xuefei and Huang, Zi (2015). What are popular: Exploring twitter features for event detection, tracking and visualization. 23rd ACM International Conference on Multimedia, MM 2015, Brisbane, QLD Australia, 26-30 October 2015. New York, NY United States: Association for Computing Machinery. doi: 10.1145/2733373.2806236 |
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2015 Conference Publication A multi-label least-squares hashing for scalable image searchWang, Shengsheng, Huang, Zi and Xu, Xin-Shun (2015). A multi-label least-squares hashing for scalable image search. SIAM International Conference on Data Mining 2015, SDM 2015, Vancouver, Canada, 30 April - 2 May 2015. Red Hook, NY, United States: Society for Industrial and Applied Mathematics Publications. |
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2015 Conference Publication Truth discovery in material science databasesBelisle, Eve, Huang, Zi and Gheribi, Aimen (2015). Truth discovery in material science databases. 26th Australasian Database Conference (ADC), Melbourne, Australia, 4-7 Jun 2015. Heidelberg, Germany: Springer. doi: 10.1007/978-3-319-19548-3_22 |
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2015 Conference Publication Spatial-Aware multimodal location estimation for social imagesCao, Jiewei, Huang, Zi and Yang, Yang (2015). Spatial-Aware multimodal location estimation for social images. 23rd ACM International Conference on Multimedia 2015, Brisbane, QLD Australia, 26-30 October 2015. New York, NY United States: Association for Computing Machinery. doi: 10.1145/2733373.2806249 |
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2015 Conference Publication UQMG @ TRECVID 2015: Instance searchCao, Jiewei, Huang, Zi and Shen, Heng Tao (2015). UQMG @ TRECVID 2015: Instance search. National Institute of Standards and Technology (NIST). |
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2015 Conference Publication Joint modeling of users' interests and mobility patterns for point-of-interest recommendationYin, Hongzhi, Cui, Bin, Huang, Zi, Wang, Weiqing, Wu, Xian and Zhou, Xiaofang (2015). Joint modeling of users' interests and mobility patterns for point-of-interest recommendation. 23rd ACM International Conference on Multimedia, MM 2015, Brisbane, QLD, Australia, 26-30 October, 2015. New York, NY, United States: Association for Computing Machinery, Inc. doi: 10.1145/2733373.2806339 |
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2014 Conference Publication Multi-output regression with tag correlation analysis for effective image taggingCai, Hongyun, Huang, Zi, Zhu, Xiaofeng, Zhang, Qing and Li, Xuefei (2014). Multi-output regression with tag correlation analysis for effective image tagging. 19th International Conference on Database Systems for Advanced Applications, DASFAA 2014, Bali, Indonesia, 21 - 24 April 2014. Heidelberg, Germany: Springer. doi: 10.1007/978-3-319-05813-9_3 |
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2014 Conference Publication A temporal context-aware model for user behavior modeling in social media systemsYin, Hongzhi, Cui, Bin, Chen, Ling, Hu, Zhiting and Huang, Zi (2014). A temporal context-aware model for user behavior modeling in social media systems. 2014 ACM SIGMOD International Conference on Management of Data, SIGMOD 2014, Snowbird, UT United States, 22-27 June 2014. New York, NY United States: Association for Computing Machinery. doi: 10.1145/2588555.2593685 |
