|
CSE 595: Words & Pictures
Instructor: Tamara Berg (tlberg -at- cs.sunysb.edu)
|
|
Introduction
This course will explore topics straddling the boundary between Natural Language Processing and Computer Vision. Words and pictures are often naturally linked. Some common examples include: the billions of pages on the web containing images and text, captioned news photographs, and youtube videos with speech or closed captioning. In order to search, classify and exploit these collections it will be necessary to utilize both the visual and textual information effectively. We will learn how to make use of the complementary nature of words and pictures through topic lectures and analysis of state of the art research. Students will also have a chance to define their own multi-modal problems and solutions through a class project. |
Topics
|
MS Basic Project Option
|
Tentative Schedule
|
|
Grading There will be 3 homeworks during the first month and a half of the course to get students aquainted with words and pictures. Over the final two months of the course students will develop and present a project related to words and pictures. Students will also be responsible for leading one class paper discussion. For each paper presentation day, a one paragraph summary of the assigned paper of your choice will be due before the start of class. Grading will consist of: Assignments (30%), Project (40%), Paper presentation (10%), Paper summaries (10%), Participation (10%). |
Students will be allowed 5 free homework or project late days of their choice over the semester. After those are used late homeworks/projects will be accepted with a 10% reduction in value per day late. |
|
Reference Books Matlab |
Americans with Disabilities Act: If you have a physical, psychological, medical or learning disability that may impact your course work, please contact Disability Support Services, ECC (Educational Communications Center) Building, room 128, (631) 632-6748. They will determine with you what accommodations, if any, are necessary and appropriate. All information and documentation is confidential.
Academic Integrity: Each student must pursue his or her academic goals honestly and be personally accountable for all submitted work. Representing another person's work as your own is always wrong. Faculty are required to report any suspected instances of academic dishonesty to the Academic Judiciary. Faculty in the Health Sciences Center (School of Health Technology & Management, Nursing, Social Welfare, Dental Medicine) and School of Medicine are required to follow their school-specific procedures. For more comprehensive information on academic integrity, including categories of academic dishonesty, please refer to the academic judiciary website at http://www.stonybrook.edu/uaa/academicjudiciary/
Critical Incident Management: Stony Brook University expects students to respect the rights, privileges, and property of other people. Faculty are required to report to the Office of Judicial Affairs any disruptive behavior that interrupts their ability to teach, compromises the safety of the learning environment, or inhibits students' ability to learn. Faculty in the HSC Schools and the School of Medicine are required to follow their school-specific procedures.