Manuel Fritsche

Publication Activity (10 Years)

Years Active: 2018-2019
Publications (10 Years): 8

Top Topics

High Resolution Video

Image Super Resolution

Top Venues

Publications

Manuel Fritsche, Shuhang Gu, Radu Timofte
Frequency Separation for Real-World Super-Resolution. ICCV Workshops (2019)
Andreas Lugmayr, Martin Danelljan, Radu Timofte, Manuel Fritsche, Shuhang Gu, Kuldeep Purohit, Praveen Kandula, Maitreya Suin, A. N. Rajagopalan, Nam Hyung Joon, Yu Seung Won, Guisik Kim, Dokyeong Kwon, Chih-Chung Hsu, Chia-Hsiang Lin, Yuanfei Huang, Xiaopeng Sun, Wen Lu, Jie Li, Xinbo Gao, Sefi Bell-Kligler
AIM 2019 Challenge on Real-World Image Super-Resolution: Methods and Results. CoRR (2019)
Andreas Lugmayr, Nam Hyung Joon, Yu Seung Won, Guisik Kim, Dokyeong Kwon, Chih-Chung Hsu, Chia-Hsiang Lin, Yuanfei Huang, Xiaopeng Sun, Wen Lu, Jie Li, Martin Danelljan, Xinbo Gao, Sefi Bell-Kligler, Assaf Shocher, Michal Irani, Radu Timofte, Manuel Fritsche, Shuhang Gu, Kuldeep Purohit, Praveen Kandula, Maitreya Suin, A. N. Rajagopalan
AIM 2019 Challenge on Real-World Image Super-Resolution: Methods and Results. ICCV Workshops (2019)
Shuhang Gu, Andreas Lugmayr, Martin Danelljan, Manuel Fritsche, Julien Lamour, Radu Timofte
DIV8K: DIVerse 8K Resolution Image Dataset. ICCV Workshops (2019)
Manuel Fritsche, Shuhang Gu, Radu Timofte
Frequency Separation for Real-World Super-Resolution. CoRR (2019)
Thomas Ziegler, Manuel Fritsche, Lorenz Kuhn, Konstantin Donhauser
Efficient Smoothing of Dilated Convolutions for Image Segmentation. CoRR (2019)
Gino Brunner, Manuel Fritsche, Oliver Richter, Roger Wattenhofer
Using State Predictions for Value Regularization in Curiosity Driven Deep Reinforcement Learning. ICTAI (2018)
Gino Brunner, Manuel Fritsche, Oliver Richter, Roger Wattenhofer
Using State Predictions for Value Regularization in Curiosity Driven Deep Reinforcement Learning. CoRR (2018)