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Guangnan Ye
Research Staff Member
IBM T.J. Watson Research Center
gye@us.ibm.com
Network Science and Big Data Analytics
1101 Kitchawan Rd. Yorktown Heights, NY, 10598
About Me
Guangnan Ye is a researcher at IBM T.J. Watson Research Center. He received his PhD degree at Dept. of Electrical Engineering, Columbia University, supervised by Prof. Shih-Fu Chang . His interests fall in topics of multimedia data analytics from multi-modalities, machine learning applications on big data. Ye is an active participant at the U.S. NIST TREC video retrieval evaluation (TRECVID). He has been involved in designing a few top performance systems in multimedia event detection task in 2010, 2011, 2013.
Experience:
Research Staff Member, IBM T.J. Watson Research Center, 2016.2-Present
Research Assistant, DVMM Lab at Columbia University, 2010.8-2015.12
Research Intern, Video and Multimedia Technologies and Services Research Department, AT&T Labs - Research, 2014.6-2014.8 (Mentors: Behzad Shahraray, David C. Gibbon, Zhu Liu)
Research Intern, Media Analytics Department, NEC Labs America, 2013.5-2013.8 (Mentors: Ming Yang, Yuanqing Lin)
Projects:
ALADDIN from IARPA, U.S. NIST TRECVID Multimedia Event Detection (MED) Task (DVMM Lab at Columbia University, 2010-Present)
Large-scale Multimedia Event Detection Engine (AT&T Labs – Research, 2014)
Fine-Grained Large-Scale Vehicle Retrieval (NEC Labs America, 2013)
Humanoid Robot Soccer World Cup, Robocup 2010 (Singapore, 2010)
U.S. NIST TRECVID Surveillance Event Detection Task (Peking University, 2009)
Visual and Audio Retrieval System, The Star Challenge Singapore 2008 (Singapore, 2008)
Publication:
Guangnan Ye, Yitong Li, Hongliang Xu, Dong Liu, Shih-Fu Chang. EventNet: A Large Scale Structured Concept Library for Complex Event Detection in Video. In ACM International Conference on Multimedia (ACM MM), Brisbane, Australia, 2015. [PDF]
Hongliang Xu, Guangnan Ye, Yitong Li, Dong, Liu, Shih-Fu Chang. Large Video Event Ontology Browsing, Search and Tagging (EventNet Demo). In ACM International Conference On Multimedia (ACM MM), Brisbane, Australia, 2015. [PDF]
Jiawei Chen, Yin Cui, Guangnan Ye, Dong Liu, Shih-Fu Chang. Event-Driven Semantic Concept Discovery by Exploiting Weakly Tagged Internet Images. In ACM International Conference on Multimedia Retrieval (ICMR), oral session, 2014. [PDF] [Slides]
Guangnan Ye, Dong Liu, Jun Wang, and Shih-Fu Chang. Large Scale Video Hashing via Structure Learning. IEEE International Conference on Computer Vision (ICCV), 2013. [PDF] [Poster]
I-Hong Jhuo, Guangnan Ye, Shenghua Gao, Dong Liu, Yu-Gang Jiang, D. T. Lee, and Shih-Fu Chang. Discovering Joint Audio-Visual Codewords for Video Event Detection. Machine Vision and Applications, 2013. [PDF]
Dong Liu, Kuan-Ting Lai, Guangnan Ye, Ming-Syan Chen, and Shih-Fu Chang. Sample Specific Late Fusion for Visual Category Recognition. IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2013. [PDF]
P. Natarajan, S. Wu, F. Luisier, X. Zhuang, M. Tickoo, Guangnan Ye, Dong Liu, Shih-Fu Chang, et at. BBN VISER TRECVID 2013 Multimedia Event Detection and Multimedia Event Recounting Systems. In NIST TRECVID workshop, 2013. (Top Performance) [PDF] [Slides]
Guangnan Ye, Dong Liu, I-Hong Jhuo, Shih-Fu Chang. Robust Late Fusion with Rank Minimization. In IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2012. [PDF] [Poster]
Felix Yu, Rongrong Ji, Ming-Hen Tsai, Guangnan Ye, Shih-Fu Chang. Weak Attributes for Large-Scale Image Retrieval. In IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2012. [PDF] [Poster]
Guangnan Ye, I-Hong Jhuo, Dong Liu, Yu-Gang Jiang, D.T.Lee, Shih-Fu Chang. Joint Audio-Visual Bi-Modal Codewords for Video Event Detection. In ACM International Conference on Multimedia Retrieval (ICMR), 2012. [PDF] [Poster]
Felix Yu, Rongrong Ji, Ming-Hen Tsai, Guangnan Ye, Shih-Fu Chang. Experiments of Image Retrieval Using Weak Attributes. Computer Science Department Technical Report # CUCS 005-12 (2012) Columbia University, 2012. [PDF]
Yu-Gang Jiang, Guangnan Ye, Shih-Fu Chang, Daniel Ellis, Alexander C. Loui. Consumer Video Understanding: A Benchmark Database and An Evaluation of Human and Machine Performance. In Proceedings of ACM International Conference on Multimedia Retrieval (ICMR), oral session, 2011. [PDF] [Project Page]
Yu-Gang Jiang, Xiaohong Zeng, Guangnan Ye, Subhabrata Bhattacharya, Dan Ellis, Mubarak Shah, Shih-Fu Chang. Columbia-UCF TRECVID2010 Multimedia Event Detection: Combining Multiple Modalities, Contextual Concepts, and Temporal Matching. In NIST TRECVID Workshop, Gaithersburg, MD, November 2010. (Top Performance) [PDF] [Project Page][Slides]
Academic Services:
Technical program committees for ICMR 2015,2016, ICME 2014, 2015
Reviewers for CVPR, ACM MM, ICME, ICMR, TMM
Honors and Awards:
U.S. NIST TRECVID MED Task, Top Performance 2010, 2011, 2013
Wei Foundation Fellowship, 2013
Intel Fellowship, 2008
4th place among 53 teams globally in the Star Challenge video and audio retrieval competition at Singapore, 2008
Citibank Fellowship, 2005