Public profile
Research areas
Computer Vision, Machine Learning, Natural Language Processing
Computer Science
Professor of Computer Science
Member, Ken Kennedy Institute
Average rating
3.6
5 temporary mock ratings
Difficulty
3.1
course-linked average
Courses
3
in seeded sections
Computer Vision, Machine Learning, Natural Language Processing
COMP 590
Advanced theoretical and experimental investigations under staff direction. The student must have a full-time internship to receive 4 credits for this course. Repeatable for Credit.
COMP 648
This seminar will explore and analyze the current literature in computer vision, especially focusing on computational methods for visual recognition. Our topics include image classification and understanding, object detection, image segmentation, and other high-level perceptual tasks Recommended Prerequisite(s): COMP 547, COMP 646, or COMP 546 Repeatable for Credit.
COMP 800
Repeatable for Credit.