Computer Vision

School of Computing and Information Department of Computer Science

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.