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This week

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optimization, optimal control, motion capture, and data-driven. methods. Our study will also reveal the shortcomings of these. sophisticated tools. ... – PowerPoint PPT presentation

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Title: This week


1
This week
Conference papers due May 8.
2
The last week
Your review of anothers conference paper due May
15. Final version of yours due.
3
Class project papers (conference submissions)
  • Papers due May 8. CVPR, NIPS or other 6-8 page
    format is ok.
  • You review of someone elses paper is due May 15.
  • Ok with me if you turn in revised version of your
    paper on May 15, but by May 8 you must have a
    good version that someone can review.
  • Ill return comments on your papers and on your
    reviews. Youll also get the fellow students
    review.
  • Auditors can participate, but if you submit a
    paper, you also need to submit a review.
  • Please treat these reviews like any other with
    confidentiality regarding the research contents.

4
Forms for the review
  • NIPS reviewing form and instructions to reviewers
    will be posted (tonight) on the course web site.

5
6.838 Algorithms for Computer Animation
  • i think the students in your class would findthe
    animation problems fascinating. it's a great
    opportunity forstudents to apply what they know
    to brand new problems. if they wouldlike more
    info, please have them send me an email at
    jovan_at_lcs.mit.edu.6.838 Algorithms for
    Computer Animation Animation is a compelling
    and effective form of expression itengages
    viewers and makes difficult concepts easier to
    grasp.Today's animation industry creates films,
    special effects, andgames with stunning visual
    detail and quality. This graduateclass will
    investigate the algorithms that make these
    animationspossible keyframing, inverse
    kinematics, physical simulation,optimization,
    optimal control, motion capture, and
    data-drivenmethods. Our study will also reveal
    the shortcomings of thesesophisticated tools.
    The students will propose improvements
    andexplore new methods for computer animation in
    semester-longresearch projects. The course
    should appeal to both students withgeneral
    interest in computer graphics and students
    interested innew applications of machine
    learning, robotics, biomechanics,physics,
    applied mathematics and scientific computing.
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