1 code implementation • 18 Nov 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
For training, only one set of source input images is therefore provided in the challenge.
1 code implementation • 18 Nov 2019 • Manuel Fritsche, Shuhang Gu, Radu Timofte
Furthermore, we propose to separate the low and high image frequencies and treat them differently during training.
1 code implementation • 19 Mar 2019 • Thomas Ziegler, Manuel Fritsche, Lorenz Kuhn, Konstantin Donhauser
Dilated Convolutions have been shown to be highly useful for the task of image segmentation.
1 code implementation • 30 Sep 2018 • Gino Brunner, Manuel Fritsche, Oliver Richter, Roger Wattenhofer
Learning in sparse reward settings remains a challenge in Reinforcement Learning, which is often addressed by using intrinsic rewards.