CSE Doctoral Student Seminar: Golnoosh Dehghanpoor and Kefu Lu

Sep 30, 2016
12:30 p.m.
2 p.m.
Lopata Hall, Room 101

Golnoosh Dehghanpoor
Advisor: Brendan Juba

"A Polynmial Optimization Framework for Object Detection"

We introduce a new contour-based approach to shape based image segmentation. We make use of a global polynomial optimization framework to pose the problem of fitting specific shapes and introduce a learning based polynomial invariants framework for detecting them. One advantage of this method is that it doesn't require a clean image for training phase. The empirical results show that after rounds of learning, the algorithm is capable of detecting the desired shape in the contour of an image.

Kefu Lu
Advisor: Ben Moseley

"Online Scheduling for Average Flow in the DAG Model"

Online scheduling studies the problem of ordering the execution of a set of jobs as they arrive over time to some system. In this talk, the goal is to minimize the average flow time of the jobs - by far the most popular performance metric in online scheduling. This problem is well studied in many models, but we introduce the first results in the Directed-Acyclic-Graph (DAG) model of parallelism. In this model, each job corresponds to a DAG and may be processed on multiple machines at the same time. Most of the technical details will be abridged in the interest of time.