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 to deliver SCI Dean's Department spotlight talk

As part of the new Dean's Department and Program Spotlight Series, Dr. Adriana Kovashka (Assistant Professor, CS) will deliver a talk entitled "Reasoning about Complex Media from Weak Multi-modal Supervision" on October 19th.

Mingda Zhang, Dr. Adrianna Kovashka, and Dr. Rebecca Hwa, receive best paper award at ECV 2021

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.

Adriana Kovashka’s Research Aims to 'Teach' Computers Object Detection

Dr. Adriana Kovashka Receives Funding from Amazon Research Awards

Dr. Adriana Kovashka’s NSF CAREER project aims to lower the cost of AI learning

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.