Tao Deng
Orcid: 0000-0001-5094-5879Affiliations:
- Southwest Jiaotong University, School of Information Science and Technology, Chengdu, China
- University of Electronic Science and Technology of China, MOE Key Lab for Neuroinformation, Chengdu, China (PhD 2018)
According to our database1,
Tao Deng
authored at least 21 papers
between 2014 and 2023.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on orcid.org
On csauthors.net:
Bibliography
2023
What Causes a Driver's Attention Shift? A Driver's Attention-Guided Driving Event Recognition Model.
Proceedings of the International Joint Conference on Neural Networks, 2023
2022
Lane Detection Model Based on Spatio-Temporal Network With Double Convolutional Gated Recurrent Units.
IEEE Trans. Intell. Transp. Syst., 2022
IEEE Trans. Intell. Transp. Syst., 2022
Fastest containment control of discrete-time multi-agent systems using static linear feedback protocol.
Inf. Sci., 2022
Driving as well as on a Sunny Day? Predicting Driver's Fixation in Rainy Weather Conditions via a Dual-Branch Visual Model.
IEEE CAA J. Autom. Sinica, 2022
A Lightweight Network with Lane Feature Enhancement for Multilane Drivable Area Detection.
Proceedings of the 14th International Conference on Wireless Communications and Signal Processing, 2022
Proceedings of the 14th International Conference on Wireless Communications and Signal Processing, 2022
STSANet: Retinal Vessel Segmentation via Spatial-Temporal and Self-Attention Encoding.
Proceedings of the 14th International Conference on Wireless Communications and Signal Processing, 2022
Proceedings of the International Joint Conference on Neural Networks, 2022
2021
A Robust Lane Detection Model Using Vertical Spatial Features and Contextual Driving Information.
Sensors, 2021
Proceedings of the 24th IEEE International Intelligent Transportation Systems Conference, 2021
DRSTNet: A Robust Spatio-temporal Network with Dilated Residual Convolutions for Lane Detection.
Proceedings of the 5th International Conference on Vision, Image and Signal Processing, 2021
Driving Video Fixation Prediction Model Via Spatio-Temporal Networks and Attention Gates.
Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021
Proceedings of the Bio-Inspired Computing: Theories and Applications, 2021
2020
How Do Drivers Allocate Their Potential Attention? Driving Fixation Prediction via Convolutional Neural Networks.
IEEE Trans. Intell. Transp. Syst., 2020
CoRR, 2020
2018
Learning to Boost Bottom-Up Fixation Prediction in Driving Environments via Random Forest.
IEEE Trans. Intell. Transp. Syst., 2018
2016
Where Does the Driver Look? Top-Down-Based Saliency Detection in a Traffic Driving Environment.
IEEE Trans. Intell. Transp. Syst., 2016
2014
Proceedings of the 17th International IEEE Conference on Intelligent Transportation Systems, 2014