University of Illinois at Urbana-Champaign
Illinois Advanced Research Center at Singapore (Illinois ARCS)

Bingbing Ni

Bingbing Ni
Bingbing Ni

Bingbing Ni is an adjunct research scientist in the Advanced Digital Sciences Center (ADSC), Singapore. He received his Bachelor's degree (B.Eng.) in Electrical Engineering from Shanghai Jiaotong University (SJTU), China, in 2005. He began his Ph.D. study at the National University of Singapore in 2006, and submitted his Ph.D. thesis in September 2010.

Research Interests: Computer vision, multimedia computing, machine learning

ADSC Projects:

Education:

  • Ph.D., Electrical and Computer Engineering, National University of Singapore, Jan. 2006–Sept. 2010. Area of Study: Data Mining, Machine Learning, Computational Vision, and Multimedia Computation
  • B.Eng. (Major, First Class Honour), Electronic Engineering, Shanghai Jiao Tong University, Shanghai, China, Aug. 2001-July 2005.

Experience:

  • Testing Software Engineer, Intel, Shanghai, China (Feb. 2005 to Dec. 2005).
  • Research Engineer, National University of Singapore (Jan. 2010 to Nov. 2010). Member of Learning and Vision (LV) Group; research on discriminative feature extraction, Internet vision-based multimedia applications, image/video classification, and vision-based human activity recognition.
  • Research Intern, Microsoft Research Asia, Beijing, China (July 2009 to Oct 2009). Member of Multi-media Computing (MC) Group; research on query log-aware content-based image retrieval.
  • Software Engineer Intern (Research), Google Inc., Mountain View, CA, USA (July 2010 to Nov. 2010). Member of the Video Content Analysis Group; research on web-scale YouTube video classification.

Publications and Patents:
Journals:

  • Q. Tian, S. Zhang, W. Zhou, R. Ji, B. Ni, and N. Sebe. "Building Descriptive and Discriminative Visual Codebook for Large-scale Image Applications." Multimedia Tools and Applications, 2010 (invited paper).
  • B. Ni, S. Yan, Q. Tian, and A. Kassim. "High-order Context Modeling by Spatialized Random Forest." Submitted for publication.
  • B. Cheng, B. Ni, and S. Yan. "A Unified Supervised Codebook Learning Framework for Both Classification and Regression." Submitted for publication.
  • J. Feng, B. Ni, and S. Yan. "Multi-modality Spatial Context Feature Fusion by Random Forest." IEEE Transactions on Image Processing, 2010 (in press).
  • B. K. Bao, B. Ni, Y. Mu, and S. Yan. "Efficient Region-aware Image Similarity Towards Scalable Multi-label Propagation." Pattern Recognition, 2010, Vol. 44, No. 3, pp. 598-606, 2011.
  • Y. Zhou, B. Ni, S. Yan, and T. S. Huang. "Recognizing Pair-Activities by Causality Analysis." ACM Transactions on Intelligent Systems and Technology, 2010 (in press).
  • B. Ni, Z. Song, and S. Yan. "Web Image and Video Mining towards Universal and Robust Age Estimator." Submitted for publication.
  • B. Ni, S. Yan, and A. Kassim. "Learning a Propagable Graph for Semi-supervised Learning: Classification and Regression." IEEE Transactions on Knowledge and Data Engineering, 2010 (in press).
  • B. Ni, A. Kassim, and S. Winkler. "A Hybrid Framework for 3D Human Motion Tracking." IEEE Transactions on Circuits and Systems for Video Technology, Vol. 18, No. 8, pp. 1075-1084, 2008.

Conferences:

  • J. Feng, B. Ni, and S. Yan. "Geometric Lp Norm Feature Pooling for Image Classification." CVPR, 2011.
  • B. Ni, Y. Song, and M. Zhao. "YouTubeEvent: On Large-scale Video Event Classification." Submitted for publication.
  • J. Feng, B. Ni, and S. Yan. "Auto-generate Professional Background Music for Homemade Videos." ICIMCS, 2010.
  • B. Cheng, B. Ni, S. Yan, and Q. Tian. "Learning to Photograph." ACM Multimedia, 2010 (full paper).
  • B. Ni, Z. Song, and S. Yan. "Web Image Mining Towards Universal Age Estimator." ACM Multimedia, 2009 (full paper).
  • B. Ni, S. Yan, and A. Kassim. "Contextualizing Histogram." CVPR, 2009.
  • B. Ni, S. Yan, and A. Kassim. "Recognizing Human Group Activities with Localized Causalities." CVPR, 2009.
  • B. Ni, S. Yan, and A. Kassim. "Directional Stationary Markov Features." ICASSP, 2009.
  • B. Ni, S. Yan, A. Kassim and L. F. Cheong. "Learning by Propagability." International Conference on Data Mining, 2008 (full paper).
  • B. Ni, S. Winkler, and A. Kassim. "An Efficient Stochastic Framework for 3D Human Motion Tracking." SPIE 2008, 2008.
  • B. Ni, S. Winkler, and A. Kassim. "Articulated Object Registration Using Simulated Physical Force/Moment for 3D Human Motion Tracking." 2nd Workshop on Human Motion, in conjunction with ICCV07, 2007.
  • A. K. Mishra, B. Ni, S. Winkler, and A. Kassim. "3D Surveillance System Using Multiple Cameras." SPIE 2007, 2007.

Patents:

  • B. Ni, Q. Tian, and L. Yang. Query Log-aware Content Based Image Retrieval. (Microsoft)
  • B. Ni, Q. Tian, and L. Yang. Hierarchical Sparse Coding for Image Retrieval. (Microsoft)
  • B. Cheng, B. Ni, S. Yan. Learning-to-Photograph. (NUS)

Book Chapters:

  • B. Ni and S. Yan. "Human Group Activities: Database and Algorithms." In Advanced Topics in Biometrics. World Scientific Publishing, 2009.

Technical Demonstrations:

  • B. Ni, S. Yan, G. Zhu, Z. Song, D. Guo, Y. Lu, and J. Yan. "A Vision-based Demographic Advertisement System." ICCV, 2009.
  • B. Cheng, B. Ni, S. Yan, and Q. Tian. "Learning-to-Photograph towards HP Challenge." Multi-media Grand Challenge, ACM MM, 2010.

Awards:

  • IBM Research Center, Watson: Emerging Leaders in Multimedia and Signal Processing, 2010
  • Marquis Who's Who: Marquis: Who's Who in Science and Engineering, 2011-2012, 2010
  • Pattern Recognition and Machine Intelligence Association, Singapore: PREMIA08 Best Student Paper Award, 2008
  • International Conference on Data Mining, 2008: ICDM08 Student Travel Award, 2008
  • National University of Singapore: NUS Graduate Research Scholarship, 2006-2009
  • Shanghai Jiao Tong University: SJTU Excellent Student Scholarship, 2001–2005