activity
20162023
most citedResponses to Critiques on Machine Learning of Criminality Perceptions (Addendum of arXiv:1611.04135)

36 citations · 164 across the 26 of their papers we have counts for

collaborators
Showing 2021Show all

5 papers · 1 filter

eess.IV2021

Functional Neural Networks for Parametric Image Restoration Problems

Fangzhou Luo, Xiaolin Wu, Yanhui Guo

Almost every single image restoration problem has a closely related parameter, such as the scale factor in super-resolution, the noise level in image denoising, and the quality fac…

eess.IV2021★ 13 cited

Data Acquisition and Preparation for Dual-reference Deep Learning of Image Super-Resolution

Yanhui Guo, Xiaolin Wu, Xiao Shu

The performance of deep learning based image super-resolution (SR) methods depend on how accurately the paired low and high resolution images for training characterize the sampling…

cs.CV2021★ 1 cited

Multi-modality Deep Restoration of Extremely Compressed Face Videos

Xi Zhang, Xiaolin Wu

Arguably the most common and salient object in daily video communications is the talking head, as encountered in social media, virtual classrooms, teleconferences, news broadcastin…

cs.CV2021★ 2 cited

Light Pollution Reduction in Nighttime Photography

Chang Liu, Xiaolin Wu

Nighttime photographers are often troubled by light pollution of unwanted artificial lights. Artificial lights, after scattered by aerosols in the atmosphere, can inundate the star…

cs.CV2021★ 1 cited

Attention-guided Image Compression by Deep Reconstruction of Compressive Sensed Saliency Skeleton

Xi Zhang, Xiaolin Wu

We propose a deep learning system for attention-guided dual-layer image compression (AGDL). In the AGDL compression system, an image is encoded into two layers, a base layer and an…