Search Results for author: Qiyuan Wang

Found 9 papers, 3 papers with code

MURPHY: Relations Matter in Surgical Workflow Analysis

no code implementations24 Dec 2022 Shang Zhao, Yanzhe Liu, Qiyuan Wang, Dai Sun, Rong Liu, S. Kevin Zhou

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 investigation.


MM-PCQA: Multi-Modal Learning for No-reference Point Cloud Quality Assessment

1 code implementation1 Sep 2022 ZiCheng Zhang, Wei Sun, Xiongkuo Min, Quan Zhou, Jun He, Qiyuan Wang, Guangtao Zhai

In specific, we split the point clouds into sub-models to represent local geometry distortions such as point shift and down-sampling.

Point Cloud Quality Assessment

Deep Neural Network for Blind Visual Quality Assessment of 4K Content

no code implementations9 Jun 2022 Wei Lu, Wei Sun, Xiongkuo Min, Wenhan Zhu, Quan Zhou, Jun He, Qiyuan Wang, ZiCheng Zhang, Tao Wang, Guangtao Zhai

In this paper, we propose a deep learning-based BIQA model for 4K content, which on one hand can recognize true and pseudo 4K content and on the other hand can evaluate their perceptual visual quality.

Blind Image Quality Assessment Multi-Task Learning

AsyncFedED: Asynchronous Federated Learning with Euclidean Distance based Adaptive Weight Aggregation

1 code implementation27 May 2022 Qiyuan Wang, Qianqian Yang, Shibo He, Zhiguo Shi, Jiming Chen

In an asynchronous federated learning framework, the server updates the global model once it receives an update from a client instead of waiting for all the updates to arrive as in the synchronous setting.

Federated Learning

Recovering medical images from CT film photos

no code implementations10 Mar 2022 Quan Quan, Qiyuan Wang, Yuanqi Du, Liu Li, S. Kevin Zhou

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 medium for the purposes of self-storage and secondary consultation.

Computed Tomography (CT)

3D endoscopic depth estimation using 3D surface-aware constraints

no code implementations4 Mar 2022 Shang Zhao, Ce Wang, Qiyuan Wang, Yanzhe Liu, S Kevin Zhou

We propose a loss function for depth estimation that integrates the surface-aware constraints, leading to a faster and better convergence with the valid information from spatial information.

Depth Estimation Image Reconstruction +1

Clustering Enabled Few-Shot Load Forecasting

no code implementations16 Feb 2022 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 massive datasets.

Clustering Load Forecasting

CT Film Recovery via Disentangling Geometric Deformation and Illumination Variation: Simulated Datasets and Deep Models

no code implementations17 Dec 2020 Quan Quan, Qiyuan Wang, Liu Li, Yuanqi Du, S. Kevin Zhou

We also record all accompanying information related to the geometric deformation (such as 3D coordinate, depth, normal, and UV maps) and illumination variation (such as albedo map).

Computed Tomography (CT)

AbdomenCT-1K: Is Abdominal Organ Segmentation A Solved Problem?

1 code implementation28 Oct 2020 Jun Ma, Yao Zhang, Song Gu, Cheng Zhu, Cheng Ge, Yichi Zhang, Xingle An, Congcong Wang, Qiyuan Wang, Xin Liu, Shucheng Cao, Qi Zhang, Shangqing Liu, Yunpeng Wang, Yuhui Li, Jian He, Xiaoping Yang

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 comparable results with inter-rater variability on many benchmark datasets.

Continual Learning Organ Segmentation +2

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