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Revision as of 22:34, 4 June 2011
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.
Schedule Summer 2011[edit]
All talks take place Thursdays at 4pm in AVW 3450.
Date | Speaker | Title |
---|---|---|
June 9 | Vlad Morariu | Multi-agent event recognition in structured scenarios |
June 16 | Ajay Mishra | |
June 23 | (no meeting, CVPR) | |
June 30 | Dikpal Reddy | |
July 7 | Raghuraman Gopalan | |
July 14 | ||
July 21 | Kaushik Mitra | |
July 28 | Carlos Castillo | |
August 4 | ||
August 11 | ||
August 18 | ||
August 25 |
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) |
Wiki Editing[edit]
Consult the User's Guide for information on using the wiki software.