activity
20052020
most citedImage Deblurring and Super-resolution by Adaptive Sparse Domain Selection and Adaptive Regularization

1.1k citations · 1.4k across the 11 of their papers we have counts for

collaborators

11 papers

cs.CV2020★ 9 cited

Deep Multi-modality Soft-decoding of Very Low Bit-rate Face Videos

Yanhui Guo, Xi Zhang, Xiaolin Wu

We propose a novel deep multi-modality neural network for restoring very low bit rate videos of talking heads. Such video contents are very common in social media, teleconferencing…

eess.IV2020★ 4 cited

Rapid Whole Slide Imaging via Learning-based Two-shot Virtual Autofocusing

Qiang Li, Xianming Liu, Kaige Han +3

Whole slide imaging (WSI) is an emerging technology for digital pathology. The process of autofocusing is the main influence of the performance of WSI. Traditional autofocusing met…

cs.CV2016★ 128 cited

Random Walk Graph Laplacian based Smoothness Prior for Soft Decoding of JPEG Images

Xianming Liu, Gene Cheung, Xiaolin Wu +1

Given the prevalence of JPEG compressed images, optimizing image reconstruction from the compressed format remains an important problem. Instead of simply reconstructing a pixel bl…

cs.MM2013★ 19 cited

Coded Acquisition of High Frame Rate Video

Reza Pournaghi, Xiaolin Wu

High frame video (HFV) is an important investigational tool in sciences, engineering and military. In ultra-high speed imaging, the obtainable temporal, spatial and spectral resolu…

cs.ET2012★ 60 cited

Temporal Psychovisual Modulation: a new paradigm of information display

Xiaolin Wu, Guangtao Zhai

We report on a new paradigm of information display that greatly extends the utility and versatility of current optoelectronic displays. The main innovation is to let a display of h…

cs.CV2010★ 1.1k cited

Image Deblurring and Super-resolution by Adaptive Sparse Domain Selection and Adaptive Regularization

Weisheng Dong, Lei Zhang, Guangming Shi +1

As a powerful statistical image modeling technique, sparse representation has been successfully used in various image restoration applications. The success of sparse representation…