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Updates:

Oct 10th, 2008:
Updated to v2.0.

Contact Info

Vision Group, Artificial Intelligence
CSAIL, Massachusetts Institute of Technology
Advisor: Prof. Antonio Torralba

Office: 32 Vassar St D-428, MIT, Cambridge, MA, 02139
E-mail: my last name @ csail.mit.edu


CV [pdf]



Publication

  • Transfer Learning by Borrowing Examples for Multiclass Object Detection
    Joseph J. Lim, Ruslan Salakhutdinov, and Antonio Torralba.
    NIPS 2011, Granada, Spain. [PDF] [Project Page]

  • Experimental Evaluation of Support Vector Machine-based and Correlation-based Approaches to Automatic Particle Selection
    Pablo Arbelaez, Bong-Gyoon Han, Dieter Typke, Joseph J. Lim, Robert M. Glaeser, Jitendra Malik.
    Journal of Structural Biology 2011. doi:10.1016/j.jsb.2011.05.017. [PDF] [Project Page]

  • Exploiting Hierarchical Context on a Large Database of Object Categories
    Myung Jin Choi, Joseph J. Lim, Antonio Torralba, and Alan S. Willsky.
    CVPR 2010, San Francisco, California. [PDF] [Project Page]

  • Context by Region Ancestry
    Joseph J. Lim, Pablo Arbelaez, Chunhui Gu, Jitendra Malik.
    ICCV 2009, Kyoto, Japan. [PDF]

  • Recognition using Regions
    Chunhui Gu, Joseph J. Lim, Pablo Arbelaez, Jitendra Malik.
    CVPR 2009, Miami, Florida. [PDF]

  • A Distributed Message Passing Algorithm for Sensor Localization
    Max Welling and Joseph J. Lim.
    ICANN 2007, Porto, Portugal. [PDF] June '08, mistake corrected in Alg. Box 3I.




Research Experience

  • 09/2009 - present:  Computer Vision
    - Supervised by Prof. Antonio Torralba, MIT
    - Scene understanding using a new contextual model.

  • 12/2007 - 09/2009:  Computer Vision
    - Supervised by Prof. Jitendra Malik, University of California - Berkeley
    - Object recognition and detection using various image features. Major works were related to recognitions based on segmentation tree.

  • 08/2006 - 07/2007:  Mobile Sensor Localization
    - Supervised by Prof. Max Welling, University of California - Irvine
    - Proposing a distributive method that estimates sensors' locations and their uncertainties with limited information outside the network (i.e. GPS). This research was about a fully distributed message passing algorithm based on expectation propagation.


Other Experience

  • Spring 2010: Teaching Assistant
    6.869: Advances in Computer Vision