Boqing Gong    Boqing Gong in Chinese

 

PhD candidate

Advisor: Professor Fei Sha

Computer Science Department
University of Southern California
Email: boqinggo @ usc . edu

Curriculum Vitae (Last updated: June 2015)

I have moved to the University of Central Florida. Please visit my webpage there.

What's new


06/30/2015: My Ph.D. thesis finished! In the middle of refining it. Please let me know any comments if you happen to read it.

06/17/2015: Joining the University of Central Florida as an assistant professor (also announced here)

06/07/2015: Our paper on large-margin determinantal point process accepted to UAI'15 [PDF] [Supp.]

09/09/2014: reshape.m (matlab, 0.2M) sketch code of NIPS'13 released [Project] [PDF] [Supp.]

01/14/2014: LANDMARK_v1.zip (matlab, 1.06M) code of ICML'13 released [Project] [PDF] [Supp.] [Slides]

Research interests

Machine Learning and Computer Vision

Publications - Google Scholar

Large-Margin Determinantal Point Processes. W. Chao*, B. Gong*, K. Grauman, and F. Sha.

Proceedings of the Conference on Uncertainty in Artificial Intelligence (UAI), Amsterdam, Netherlands, July 2015. [PDF] [Supp.]

Diverse Sequential Subset Selection for Supervised Video Summarization. B. Gong*, W. Chao*, K. Grauman, and F. Sha.

Proceedings of the Neural Information Processing Systems (NIPS), Montreal, Canada, Dec. 2014. [PDF] [Supp.]

Learning Kernels for Unsupervised Domain Adaptation with Applications to Visual Object Recognition. B. Gong, K. Grauman, and F. Sha.
International Journal of Computer Vision (IJCV), Volume 109, Issue 1-2, pp 3-27, August 2014. [Project] [Link]

Reshaping Visual Datasets for Domain Adaptation. B. Gong, K. Grauman, and F. Sha.
Proceedings of the Neural Information Processing Systems (NIPS), Lake Tahoe, NV, Dec. 2013. [Project] [PDF] [Supp.] [Code]

Connecting the Dots with Landmarks: Discriminatively Learning Domain-Invariant Features for Unsupervised Domain Adaptation. B. Gong, K. Grauman, and F. Sha.
Proceedings of the International Conference on Machine Learning (ICML), Atlanta, GA, June 2013. (Oral) [Project] [PDF] [Supp.]
[Slides] [Code]

Learning Semantic Signatures for 3D Object Retrieval. B. Gong, J. Liu, X. Wang, and X. Tang.
IEEE Transactions on Multimedia (TMM) Vol. 5, Issue 2, pp. 369-377, Feb. 2013. [PDF] [Demo-1] [Demo-2]

Geodesic Flow Kernel for Unsupervised Domain Adaptation. B. Gong, Y. Shi, F. Sha, and K. Grauman.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Providence, RI, June 2012. (Oral) [Project] [PDF] [Supp.] [Slides] [Code&Data]

3D Object Retrieval with Semantic Attributes. B. Gong, J. Liu, X. Wang, and X. Tang.
Proceedings of the 19th ACM international conference on Multimedia (ACM MM), Scottsdale, Arizona, USA, 2011. [PDF] [Demo-1] [Demo-2]

Boosting 3D Object Retrieval by Object Flexibility. B. Gong, C. Xu, J. Liu, and X. Tang.
Proceedings of the 17th ACM international conference on Multimedia (ACM MM), Beijing, China, 2009. [PDF]

Automatic Facial Expression Recognition on a Single 3D Face by Exploring Shape Deformation. B. Gong, Y. Wang, J. Liu, and X. Tang.
Proceedings of the 17th ACM international conference on Multimedia (ACM MM), Beijing, China, 2009. [PDF]

Overcoming Dataset Bias: An Unsupervised Domain Adaptation Approach. B. Gong, F. Sha, and K. Grauman.
Big Data Meets Computer Vision: first international workshop on Large Scale Visual Recognition and Retrieval (BigVision) at NIPS, Lake Tahoe, NV, Dec. 2012. (Oral) [Project] [PDF] [Slides]

M.Phil. Thesis: 3D Object Retrieval and Recognition

Code/Demo

GFK_v1.zip (matlab, 310k): geodesic flow kernel for unsupervised domain adaptation (project page)

LANDMARK_v1.zip (matlab, 1.06M): selecting the best adaptable landmarks for unsupervised domain adaptation (project page)

reshape.m (matlab, 0.2M): reshaping visual data to domains (project page)

3D object retrieval

Image processing (C++, .net)

    • Seam carving (.net, 6M): content-aware image resizing, content re-targeting, and object removing based on seam carving techniques
    • Image stitching (.net, 3M): automatic panoramic mosaic stitching
    • Corner detection (.net, 7M): Harris and Harris-Laplacian corner detectors
    • Canny (.net, 10M) edge detector

Professional activities

Reviewer and/or program committee member of:

    • Neural Information Processing Systems (NIPS) 2014, 2015
    • International Conference on Machine Learning (ICML) 2015
    • IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2013, 2014, 2015
    • European Conference on Computer Vision (ECCV) 2014
    • International Conference on Computer Vision (ICCV) 2013, 2015
    • European Conference on Machine Learning (ECML/PKDD) 2013
    • Association for the Advancement of Artificial Intelligence Conference (AAAI), 2014
    • International Joint Conference on Artificial Intelligence (IJCAI), 2015
    • International Journal of Computer Vision (IJCV)
    • IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI)
    • IEEE Transactions on Neural Networks and Learning Systems (T-NNLS)
    • IEEE Transactions on Image Processing (T-IP)
    • IEEE Transactions on Multimedia (T-MM)
    • Machine Learning Journal

Talks at

    • Department of Computer Science, Tulane University
    • Department of Machine Learning, NEC Laboratories America
    • Department of Electrical Engineering and Computer Science, University of Central Florida
    • School of Computing, Informatics, and Decision Systems Engineering, Arizona State University
    • IBM T.J. Watson Research Center
    • ECCV 2014 Workshop on Transferring and Adapting Source Knowledge in Computer Vision
    • Machine Learning and Instrument Autonomy Group, Jet Propulsion Laboratory (JPL)
    • Department of Media Analytics, NEC Laboratories America
    • International Conference on Machine Learning (ICML) 2013
    • First International Workshop on Large Scale Visual Recognition and Retrieval at NIPS 2012
    • IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2012