14 citations · 34 across the 11 of their papers we have counts for
11 papers
Learning imaging mechanism directly from optical microscopy observations
Ze-Hao Wang, Long-Kun Shan, Tong-Tian Weng +6
Optical microscopy image plays an important role in scientific research through the direct visualization of the nanoworld, where the imaging mechanism is described as the convoluti…
Subjective and Objective Quality Assessment for in-the-Wild Computer Graphics Images
Zicheng Zhang, Wei Sun, Yingjie Zhou +5
Computer graphics images (CGIs) are artificially generated by means of computer programs and are widely perceived under various scenarios, such as games, streaming media, etc. In p…
MURPHY: Relations Matter in Surgical Workflow Analysis
Shang Zhao, Yanzhe Liu, Qiyuan Wang +3
Autonomous robotic surgery has advanced significantly based on analysis of visual and temporal cues in surgical workflow, but relational cues from domain knowledge remain under inv…
MM-PCQA: Multi-Modal Learning for No-reference Point Cloud Quality Assessment
Zicheng Zhang, Wei Sun, Xiongkuo Min +4
The visual quality of point clouds has been greatly emphasized since the ever-increasing 3D vision applications are expected to provide cost-effective and high-quality experiences…
Deep Neural Network for Blind Visual Quality Assessment of 4K Content
Wei Lu, Wei Sun, Xiongkuo Min +7
The 4K content can deliver a more immersive visual experience to consumers due to the huge improvement of spatial resolution. However, existing blind image quality assessment (BIQA…
A No-reference Quality Assessment Metric for Point Cloud Based on Captured Video Sequences
Yu Fan, Zicheng Zhang, Wei Sun +5
Point cloud is one of the most widely used digital formats of 3D models, the visual quality of which is quite sensitive to distortions such as downsampling, noise, and compression.…
Recovering medical images from CT film photos
Quan Quan, Qiyuan Wang, Yuanqi Du +2
While medical images such as computed tomography (CT) are stored in DICOM format in hospital PACS, it is still quite routine in many countries to print a film as a transferable med…
3D endoscopic depth estimation using 3D surface-aware constraints
Shang Zhao, Ce Wang, Qiyuan Wang +2
Robotic-assisted surgery allows surgeons to conduct precise surgical operations with stereo vision and flexible motor control. However, the lack of 3D spatial perception limits sit…
Clustering Enabled Few-Shot Load Forecasting
Qiyuan Wang, Zhihui Chen, Chenye Wu
While the advanced machine learning algorithms are effective in load forecasting, they often suffer from low data utilization, and hence their superior performance relies on massiv…
CT Film Recovery via Disentangling Geometric Deformation and Illumination Variation: Simulated Datasets and Deep Models
Quan Quan, Qiyuan Wang, Liu Li +2
While medical images such as computed tomography (CT) are stored in DICOM format in hospital PACS, it is still quite routine in many countries to print a film as a transferable med…
AbdomenCT-1K: Is Abdominal Organ Segmentation A Solved Problem?
Jun Ma, Yao Zhang, Song Gu +14
With the unprecedented developments in deep learning, automatic segmentation of main abdominal organs seems to be a solved problem as state-of-the-art (SOTA) methods have achieved…