Get our free extension to see links to code for papers anywhere online!

Chrome logo  Add to Chrome

Firefox logo Add to Firefox
Picture for Shaohui Liu

Shaohui Liu
Alert button

3D Line Mapping Revisited


Mar 30, 2023
Shaohui Liu, Yifan Yu, Rémi Pautrat, Marc Pollefeys, Viktor Larsson

Add code
Alert button

Figure 1 for 3D Line Mapping Revisited
Figure 2 for 3D Line Mapping Revisited
Figure 3 for 3D Line Mapping Revisited
Figure 4 for 3D Line Mapping Revisited
* 27 pages, 18 figures, 18 tables. Highlight in CVPR 2023 
   Access Paper or Ask Questions
  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

How can Deep Learning Retrieve the Write-Missing Additional Diagnosis from Chinese Electronic Medical Record For DRG


Mar 28, 2023
Shaohui Liu, Xien Liu, Ji Wu

Add code
Alert button


   Access Paper or Ask Questions
  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Read Pointer Meters in complex environments based on a Human-like Alignment and Recognition Algorithm


Feb 28, 2023
Yan Shu, Shaohui Liu, Honglei Xu, Feng Jiang

Add code
Alert button

Figure 1 for Read Pointer Meters in complex environments based on a Human-like Alignment and Recognition Algorithm
Figure 2 for Read Pointer Meters in complex environments based on a Human-like Alignment and Recognition Algorithm
Figure 3 for Read Pointer Meters in complex environments based on a Human-like Alignment and Recognition Algorithm
Figure 4 for Read Pointer Meters in complex environments based on a Human-like Alignment and Recognition Algorithm

   Access Paper or Ask Questions
  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Wind Power Scenario Generation Using Graph Convolutional Generative Adversarial Network


Dec 19, 2022
Young-ho Cho, Shaohui Liu, Duehee Lee, Hao Zhu

Add code
Alert button

Figure 1 for Wind Power Scenario Generation Using Graph Convolutional Generative Adversarial Network
Figure 2 for Wind Power Scenario Generation Using Graph Convolutional Generative Adversarial Network
Figure 3 for Wind Power Scenario Generation Using Graph Convolutional Generative Adversarial Network
Figure 4 for Wind Power Scenario Generation Using Graph Convolutional Generative Adversarial Network

   Access Paper or Ask Questions
  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Dynamic Response Recovery Using Ambient Synchrophasor Data: A Synthetic Texas Interconnection Case Study


Sep 22, 2022
Shaohui Liu, Hao Zhu, Vassilis Kekatos

Add code
Alert button

Figure 1 for Dynamic Response Recovery Using Ambient Synchrophasor Data: A Synthetic Texas Interconnection Case Study
Figure 2 for Dynamic Response Recovery Using Ambient Synchrophasor Data: A Synthetic Texas Interconnection Case Study
Figure 3 for Dynamic Response Recovery Using Ambient Synchrophasor Data: A Synthetic Texas Interconnection Case Study
Figure 4 for Dynamic Response Recovery Using Ambient Synchrophasor Data: A Synthetic Texas Interconnection Case Study
* arXiv admin note: text overlap with arXiv:2104.05614 
   Access Paper or Ask Questions
  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Fast Hierarchical Deep Unfolding Network for Image Compressed Sensing


Aug 03, 2022
Wenxue Cui, Shaohui Liu, Debin Zhao

Add code
Alert button

Figure 1 for Fast Hierarchical Deep Unfolding Network for Image Compressed Sensing
Figure 2 for Fast Hierarchical Deep Unfolding Network for Image Compressed Sensing
Figure 3 for Fast Hierarchical Deep Unfolding Network for Image Compressed Sensing
Figure 4 for Fast Hierarchical Deep Unfolding Network for Image Compressed Sensing
* Accepted by ACM MM 2022 
   Access Paper or Ask Questions
  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

ParticleSfM: Exploiting Dense Point Trajectories for Localizing Moving Cameras in the Wild


Jul 19, 2022
Wang Zhao, Shaohui Liu, Hengkai Guo, Wenping Wang, Yong-Jin Liu

Add code
Alert button

Figure 1 for ParticleSfM: Exploiting Dense Point Trajectories for Localizing Moving Cameras in the Wild
Figure 2 for ParticleSfM: Exploiting Dense Point Trajectories for Localizing Moving Cameras in the Wild
Figure 3 for ParticleSfM: Exploiting Dense Point Trajectories for Localizing Moving Cameras in the Wild
Figure 4 for ParticleSfM: Exploiting Dense Point Trajectories for Localizing Moving Cameras in the Wild
* ECCV 2022. Project page: http://b1ueber2y.me/projects/ParticleSfM/ 
   Access Paper or Ask Questions
  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Topology-aware Graph Neural Networks for Learning Feasible and Adaptive ac-OPF Solutions


May 16, 2022
Shaohui Liu, Chengyang Wu, Hao Zhu

Add code
Alert button

Figure 1 for Topology-aware Graph Neural Networks for Learning Feasible and Adaptive ac-OPF Solutions
Figure 2 for Topology-aware Graph Neural Networks for Learning Feasible and Adaptive ac-OPF Solutions
Figure 3 for Topology-aware Graph Neural Networks for Learning Feasible and Adaptive ac-OPF Solutions
Figure 4 for Topology-aware Graph Neural Networks for Learning Feasible and Adaptive ac-OPF Solutions

   Access Paper or Ask Questions
  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

A Confidence-based Iterative Solver of Depths and Surface Normals for Deep Multi-view Stereo


Jan 19, 2022
Wang Zhao, Shaohui Liu, Yi Wei, Hengkai Guo, Yong-Jin Liu

Add code
Alert button

Figure 1 for A Confidence-based Iterative Solver of Depths and Surface Normals for Deep Multi-view Stereo
Figure 2 for A Confidence-based Iterative Solver of Depths and Surface Normals for Deep Multi-view Stereo
Figure 3 for A Confidence-based Iterative Solver of Depths and Surface Normals for Deep Multi-view Stereo
Figure 4 for A Confidence-based Iterative Solver of Depths and Surface Normals for Deep Multi-view Stereo
* 17 pages, 13 figures, 7 tables. ICCV 2021 
   Access Paper or Ask Questions
  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Image Compressed Sensing Using Non-local Neural Network


Dec 07, 2021
Wenxue Cui, Shaohui Liu, Feng Jiang, Debin Zhao

Add code
Alert button

Figure 1 for Image Compressed Sensing Using Non-local Neural Network
Figure 2 for Image Compressed Sensing Using Non-local Neural Network
Figure 3 for Image Compressed Sensing Using Non-local Neural Network
Figure 4 for Image Compressed Sensing Using Non-local Neural Network
* IEEE Transactions on Multimedia, 2021 
 * 14 pages, 11 figures, 7 tables 
   Access Paper or Ask Questions
  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email
1
2
3
>>