639 citations · 2.8k across the 45 of their papers we have counts for
9 papers · 1 filter
Computational Imaging and Artificial Intelligence: The Next Revolution of Mobile Vision
Jinli Suo, Weihang Zhang, Jin Gong +3
Signal capture stands in the forefront to perceive and understand the environment and thus imaging plays the pivotal role in mobile vision. Recent explosive progresses in Artificia…
Imaging dynamics beneath turbid media via parallelized single-photon detection
Shiqi Xu, Xi Yang, Wenhui Liu +9
Noninvasive optical imaging through dynamic scattering media has numerous important biomedical applications but still remains a challenging task. While standard diffuse imaging met…
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.…
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…
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…
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…
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…
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…
Plug-and-Play Algorithms for Video Snapshot Compressive Imaging
Xin Yuan, Yang Liu, Jinli Suo +2
We consider the reconstruction problem of video snapshot compressive imaging (SCI), which captures high-speed videos using a low-speed 2D sensor (detector). The underlying principl…