I received my PhD from the Department of Computer Science at the University of Texas at Austin, in August 2014. My adviser was Kristen Grauman. My research interests lie in computer vision, machine learning, and crowdsourcing. I got my undergraduate degree at Pomona College in California, with majors in Computer Science and Media Studies.
News: In March 2018, we opened our Automatic Understanding of Visual Advertisements challenge! Please participate here.
News: In February 2018, I received a Google Faculty Research Award.
News: I will organize the first CVPR workshop on understanding advertisements, and will co-organize the first workshop on understanding subjective attributes in vision.
News: In July 2017, Rebecca Hwa and I received an NSF Small award for modeling vividness and symbolism to decode visual rhetoric.
News: I'll be an Area Chair for CVPR 2018, and Tutorials Chair for WACV 2018.
News: In April 2017, we released the data and annotations for our CVPR 2017 spotlight "Automatic Understanding of Image and Video Advertisements".
News: In June 2016, I received a University of Pittsburgh Central Research Development Fund (CRDF) award.
News: In May 2016, I received an NSF CRII CISE award to automatically understand visual rhetoric in the media.
News: In February 2016, I received a Google Faculty Research Award.
Note to prospective students:
- If you are at the University of Pittsburgh and interested in working with me, send me an email or come by my office.
- If you are applying to the University of Pittsburgh, and my research interests align with yours, please mention my name (or computer vision) in your application. If you are admitted, I will reach out to you. Unfortunately I cannot respond to email from applicants.