activity
20172021
most citedExperimental comparison of single-pixel imaging algorithms

221 citations · 547 across the 11 of their papers we have counts for

collaborators

25 papers

eess.IV202127 cited

10-mega pixel snapshot compressive imaging with a hybrid coded aperture

Zhihong Zhang, Chao Deng, Yang Liu +3

High resolution images are widely used in our daily life, whereas high-speed video capture is challenging due to the low frame rate of cameras working at the high resolution mode.…

physics.med-ph2021

Prostate cancer histopathology with label-free multispectral deep UV microscopy quantifies phenotypes of tumor grade and aggressiveness

Soheil Soltani, Ashkan Ojaghi, Hui Qiao +5

Identifying prostate cancer patients that are harboring aggressive forms of prostate cancer remains a significant clinical challenge. To shed light on this problem, we develop an a…

cs.CV2021

Function4D: Real-time Human Volumetric Capture from Very Sparse Consumer RGBD Sensors

Tao Yu, Zerong Zheng, Kaiwen Guo +3

Human volumetric capture is a long-standing topic in computer vision and computer graphics. Although high-quality results can be achieved using sophisticated off-line systems, real…

cs.CV2021

DeepMultiCap: Performance Capture of Multiple Characters Using Sparse Multiview Cameras

Yang Zheng, Ruizhi Shao, Yuxiang Zhang +4

We propose DeepMultiCap, a novel method for multi-person performance capture using sparse multi-view cameras. Our method can capture time varying surface details without the need o…

eess.IV2021

Universal and Flexible Optical Aberration Correction Using Deep-Prior Based Deconvolution

Xiu Li, Jinli Suo, Weihang Zhang +2

High quality imaging usually requires bulky and expensive lenses to compensate geometric and chromatic aberrations. This poses high constraints on the optical hash or low cost appl…

eess.IV2021165 cited

Light Field Reconstruction Using Convolutional Network on EPI and Extended Applications

Gaochang Wu, Yebin Liu, Lu Fang +2

In this paper, a novel convolutional neural network (CNN)-based framework is developed for light field reconstruction from a sparse set of views. We indicate that the reconstructio…