My research interests lie broadly in artificial intelligence and machine learning, including the applications in computer vision and natural language processing. I am currently working with Prof. Adriana Kovashka and Prof. Rebecca Hwa.
(2016.11) I received the Arts and Sciences Graduate Fellowship again for 2017 Spring.
(2016.5) I received the Arts and Sciences Graduate Fellowship for 2016 Fall.
Automatic Advertisement Understanding
We propose a novel problem of automatic advertisement understanding, and create two new datasets containing rich annotations to facilitate relevant research. We also analyze the most common persuasion strategies ads use, and the capabilities that computer vision systems should have to understand these strategies. We present baseline classification results for several prediction tasks, including automatically answering questions about the ads.
Z. Hussain, M. Zhang, X. Zhang, K. Ye, C. Thomas, Z. Agha, N. Ong, A. Kovashka.
Automatic Understanding of Image and Video Advertisements. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), July 2017.(Spotlight)
Automatic Understanding of Image and Video Advertisements.
2017 Computer Vision and Pattern Recognition (CVPR), Honolulu, HI.
(2017 Summer) CS 0449 Introduction to Systems Software