SUR-Net: Predicting the Satisfied User Ratio Curve for Image Compression with Deep Learning - researchr publication authors

researchr

You are not signed in
Sign in
Sign up

Chunling Fan, Hanhe Lin, Vlad Hosu, Yun Zhang, Qingshan Jiang, Raouf Hamzaoui, Dietmar Saupe. SUR-Net: Predicting the Satisfied User Ratio Curve for Image Compression with Deep Learning. In 11th International Conference on Quality of Multimedia Experience QoMEX 2019, Berlin, Germany, June 5-7, 2019. pages 1-6, IEEE, 2019. [doi]

This author has not been identified. Look up 'Chunling Fan' in GoogleThis author has not been identified. Look up 'Hanhe Lin' in GoogleThis author has not been identified. Look up 'Vlad Hosu' in GoogleThis author has not been identified. Look up 'Yun Zhang' in GoogleThis author has not been identified. Look up 'Qingshan Jiang' in GoogleThis author has not been identified. Look up 'Raouf Hamzaoui' in GoogleThis author has not been identified. Look up 'Dietmar Saupe' in Google

runs on WebDSL