Tao Deng

Orcid: 0000-0001-5094-5879

Affiliations:
  • 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 23 papers between 2014 and 2024.

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

Timeline

Legend:

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Online presence:

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Bibliography

2024
Driving Visual Saliency Prediction of Dynamic Night Scenes via a Spatio-Temporal Dual-Encoder Network.
IEEE Trans. Intell. Transp. Syst., March, 2024

DARTS-CGW: Research on Differentiable Neural Architecture Search Algorithm Based on Coarse Gradient Weighting.
Proceedings of the Pattern Recognition and Computer Vision - 7th Chinese Conference, 2024

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

ID-YOLO: Real-Time Salient Object Detection Based on the Driver's Fixation Region.
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

Rethinking the Detection Head Configuration for Traffic Object Detection.
CoRR, 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

TSAN et: Two-subnet Attention Network for Single Image Dehazing.
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

TARConvGRU: A Cross-dimension Spatiotemporal Model for Lane Detection.
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

A Robust Lane Detection Model via Vertical Spatial Convolutions.
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

MLFF: Multiple Low-Level Features Fusion Model for Retinal Vessel Segmentation.
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

Lane detection in complex scenes based on end-to-end neural network.
CoRR, 2020

Lane Detection Model Based on Spatio-Temporal Network with Double ConvGRUs.
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
Top-down based saliency model in traffic driving environment.
Proceedings of the 17th International IEEE Conference on Intelligent Transportation Systems, 2014


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