Chao Liu

Orcid: 0000-0002-8703-4232

Affiliations:
  • University of Colorado, Department of Electrical Engineering, Denver, CO, USA
  • Purdue University, West Lafayette, IN, USA (PhD 2016)


According to our database1, Chao Liu authored at least 13 papers between 2012 and 2022.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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In proceedings 
Article 
PhD thesis 
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Links

Online presence:

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Bibliography

2022
Sparse-Dyn: Sparse dynamic graph multirepresentation learning via event-based sparse temporal attention network.
Int. J. Intell. Syst., 2022

Graph Decipher: A transparent dual-attention graph neural network to understand the message-passing mechanism for the node classification.
Int. J. Intell. Syst., 2022

Efficient-Dyn: Dynamic Graph Representation Learning via Event-based Temporal Sparse Attention Network.
CoRR, 2022

Graph Decipher: A transparent dual-attention graph neural network to understand the message-passing mechanism for the node classification.
CoRR, 2022

2020
Improved crop row detection with deep neural network for early-season maize stand count in UAV imagery.
Comput. Electron. Agric., 2020

2019
Data reduction for real-time enhanced growing neural gas spike sorting with multiple recording channels.
Proceedings of the 2019 9th International IEEE/EMBS Conference on Neural Engineering (NER), 2019

A stereotaxic platform for small animals based on 3D computer vision and robotics.
Proceedings of the 2019 9th International IEEE/EMBS Conference on Neural Engineering (NER), 2019

Automatic Object Segmentation Based on GrabCut.
Proceedings of the Advances in Computer Vision, 2019

2017
Vehicle-Bicyclist Dynamic Position Extracted From Naturalistic Driving Videos.
IEEE Trans. Intell. Transp. Syst., 2017

2015
3D EM/MPM Image Segmentation Using an FPGA Embedded Design Implementation.
J. Signal Process. Syst., 2015

2014
Three dimensional moving pictures with a single imager and microfluidic lens.
IEEE Trans. Consumer Electron., 2014

Bicyclist detection in large scale naturalistic driving video.
Proceedings of the 17th International IEEE Conference on Intelligent Transportation Systems, 2014

2012
Depth map estimation from motion for 2D to 3D conversion.
Proceedings of the 2012 IEEE International Conference on Electro/Information Technology, 2012


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