Computer Vision

Computer vision aims to understand and interpret visual information in images or videos. Areas of interest in our lab include object classification and detection, scene and video understanding, domain adaptation and generalization, visual question answering, cross-modal retrieval, synthetic image generation, and visual persuasion analysis.

Dr. Adriana Kovashka

Pitt CS graduate student Mingda Zhang, assistant professor Adriana Kovashka, and professor Rebecca Hwa received the best paper award at the Efficient Deep Learning for Computer Vision CVPR Workshop (ECV 2021) for their work in collaboration with Drs. Chun-Te Chu, Andrey Zhmoginov, Andrew Howard, Brendan Jou, Yukun Zhu, and Li Zhang, from Google Research.

Dr. Adriana Kovashka
Dr. Adriana Kovashka
Dr. Adriana Kovashka

Dr. Adriana Kovashka received a National Science Foundation (NSF) CAREER award in May 2021. The Faculty Early Career Development (CAREER) Program is an NSF-wide activity that offers the Foundation's most prestigious awards in support of early-career faculty who have the potential to serve as academic role models in research and education and to lead advances in the mission of their department or organization.

Dr. Adriana Kovashka

Dr. Adriana KovashkaDr. Adriana Kovashka just received an NSF Career Award. Her project is entitled "Natural Narratives and Multimodal Context as Weak Supervision for Learning Object Categories".

Full-time Faculty

Assistant Professor
(412) 624-8490
Assistant Professor
(412) 624-8852