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Computer Vision Student Seminar

The Computer Vision Student Seminar at the University of Maryland College Park is a student-run series of talks given by current graduate students for current graduate students.


Description[edit]

The purpose of these talks is to:

  • Encourage interaction between computer vision students;
  • Provide an opportunity for computer vision students to be aware of and possibly get involved in the research their peers are conducting;
  • Provide an opportunity for computer vision students to receive feedback on their current research;
  • Provide speaking opportunities for computer vision students.


Format[edit]

  • An hour-long weekly meeting, consisting of one 20-40 minute talk followed by discussion and food.
  • The talks are meant to be casual and discussion is encouraged.
  • Topics may include current research, past research, general topic presentations, paper summaries and critiques, or anything else beneficial to the computer vision graduate student community.


Subscribe to the Mailing List[edit]

To receive regular information about the Computer Vision Student Seminar, subscribe to the mailing list by following the instructions here.


Current Seminar Series Coordinators[edit]

Emails are at umiacs.umd.edu.

Anne Jorstad, jorstad@ (student of Professor David Jacobs)
Sameh Khamis, sameh@ (student of Professor Larry Davis)
Sima Taheri, taheri@ (student of Professor Rama Chellappa)
Ching Lik Teo, cteo@ (student of Professor Yiannis Aloimonos)


Schedule Fall 2011[edit]

All talks take place Thursdays at 4pm in AVW 3450.

Date Speaker Title
September 8 Vishal Patel Wavelets with Composite Dilations
September 15
September 22 Dave Shaw
September 29
October 6
October 13 Yi-Chen Chen
October 20
October 27 Garrett Warnell
November 3 Abhishek Sharma
November 10 (ICCV, meeting TBD)
November 17 (no meeting, CVPR deadline 11/21)
November 24 (no meeting, Thanksgiving)
December 1 Nitesh Shroff
December 8 Ming-Yu Liu
December 15 (no meeting, final exams)


Talk Abstracts Fall 2011[edit]

Wavelets with Composite Dilations[edit]

Speaker: Vishal Patel -- Date: September 8, 2011

Sparse representation of visual information lies at the foundation of many image processing applications, such as image restoration and compression. It is well known that wavelets provide a very sparse representation for a large class of signals and images. For instance, from a continuous perspective, wavelets can be shown to sparsely represent one-dimensional signals that are smooth away from point discontinuities. Unfortunately, separable wavelet transforms have some limitations in higher dimensions. For this reason, in recent years there has been considerable interest in obtaining directionally-oriented image decompositions. Wavelets with composite dilations offer a general and especially effective framework for the construction of such representations. In this talk, I will discuss the theory and implementation of several recently introduced multiscale directional transforms. Then, I will present a new general scheme for creating an M-channel directional filter bank. An advantage of an M-channel directional filter bank is that it can project the image directly onto the desired basis. Applications in image denoising, deconvolution and image enhancement will be presented.

Schedule Summer 2011[edit]

Schedule Summer 2011


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