no code implementations • 2 Nov 2021 • Miao Qi, Yuqi Li, Wolfgang Heidrich
To obtain large quantities of real under-display camera training data with sufficient contrast and scene diversity, we furthermore develop a data capture method utilizing an HDR monitor, as well as a data augmentation method to generate suitable HDR content.
no code implementations • ICCV 2021 • Yuqi Li, Qiang Fu, Wolfgang Heidrich
This paper examines the problem of illumination spectra estimation in multispectral images.
no code implementations • ICCV 2021 • Seung-Hwan Baek, Hayato Ikoma, Daniel S. Jeon, Yuqi Li, Wolfgang Heidrich, Gordon Wetzstein, Min H. Kim
Imaging depth and spectrum have been extensively studied in isolation from each other for decades.
no code implementations • 29 Mar 2020 • Bihan Wen, Yanjun Li, Yuqi Li, Yoram Bresler
Furthermore, we relate the denoising performance improvement by combining multiple models, to the image model relationships.
no code implementations • 31 Dec 2019 • Yi Zhang, Chong Wang, Ye Zheng, Jieyu Zhao, Yuqi Li, Xijiong Xie
Subsequently, in temporal analysis, we use TCNs to extract temporal features and employ improved Squeeze-and-Excitation Networks (SENets) to strengthen the representational power of temporal features from each TCNs' layers.
no code implementations • ICCV 2019 • Ankit Raj, Yuqi Li, Yoram Bresler
A Generative Adversarial Network (GAN) with generator $G$ trained to model the prior of images has been shown to perform better than sparsity-based regularizers in ill-posed inverse problems.
no code implementations • 25 Nov 2018 • Yanghao Li, Sijie Song, Yuqi Li, Jiaying Liu
Temporal modeling in videos is a fundamental yet challenging problem in computer vision.