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ORCIDTao Deng 0002
Person information
- unicode name: 邓涛
- affiliation: Southwest Jiaotong University, School of Information Science and Technology, Chengdu, China
- affiliation (PhD 2018): University of Electronic Science and Technology of China, MOE Key Lab for Neuroinformation, Chengdu, China
- not to be confused with: Tao Deng 0003
Other persons with the same name
- Tao Deng — disambiguation page
- Tao Deng 0001 — George Washington University, Department of Electrical and Computer Engineering, Washington, DC, USA
- Tao Deng 0003
![[0000-0003-0122-5247]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0003-0122-5247")
— Southwest Jiaotong University, School of Information Science and Technology, Chengdu, China (and 1 more)
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2020 – today
- 2024
[j9]Tao Deng, Lianfang Jiang, Yi Shi, Jiang Wu, Zhangbi Wu, Shun Yan, Xianshi Zhang, Hongmei Yan:
Driving Visual Saliency Prediction of Dynamic Night Scenes via a Spatio-Temporal Dual-Encoder Network. IEEE Trans. Intell. Transp. Syst. 25(3): 2413-2423 (2024)- 2023
- [c10]Pengcheng Du, Tao Deng, Fei Yan:
What Causes a Driver's Attention Shift? A Driver's Attention-Guided Driving Event Recognition Model. IJCNN 2023: 1-8 - 2022
- [j8]Han Tian, Tao Deng, Hongmei Yan:
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 9(7): 1335-1338 (2022) - [j7]Junfeng Zhang, Fei Yan, Tao Feng, Tao Deng, Yue Zhao:
Fastest containment control of discrete-time multi-agent systems using static linear feedback protocol. Inf. Sci. 614: 362-373 (2022) - [j6]Jiyong Zhang, Tao Deng, Fei Yan, Wenbo Liu:
Lane Detection Model Based on Spatio-Temporal Network With Double Convolutional Gated Recurrent Units. IEEE Trans. Intell. Transp. Syst. 23(7): 6666-6678 (2022) - [j5]Long Qin, Yi Shi, Yahui He, Junrui Zhang, Xianshi Zhang, Yongjie Li, Tao Deng, Hongmei Yan:
ID-YOLO: Real-Time Salient Object Detection Based on the Driver's Fixation Region. IEEE Trans. Intell. Transp. Syst. 23(9): 15898-15908 (2022) - [c9]Jiyong Zhang, Tao Deng, Fei Yan:
TARConvGRU: A Cross-dimension Spatiotemporal Model for Lane Detection. IJCNN 2022: 1-7 - [c8]Chenran Jiang, Fei Yan, Tao Deng, Lin Sun, Jun Li:
TSAN et: Two-subnet Attention Network for Single Image Dehazing. WCSP 2022: 1-6 - [c7]Lin Sun, Fei Yan, Tao Deng, Chenran Jiang, Jun Li:
A Lightweight Network with Lane Feature Enhancement for Multilane Drivable Area Detection. WCSP 2022: 66-71 - [c6]Yi Huang, Tao Deng:
STSANet: Retinal Vessel Segmentation via Spatial-Temporal and Self-Attention Encoding. WCSP 2022: 132-137 - [i3]Yi Shi, Jiang Wu, Shixuan Zhao, Gangyao Gao, Tao Deng, Hongmei Yan:
Rethinking the Detection Head Configuration for Traffic Object Detection. CoRR abs/2210.03883 (2022) - 2021
- [j4]Wenbo Liu, Fei Yan, Jiyong Zhang, Tao Deng:
A Robust Lane Detection Model Using Vertical Spatial Features and Contextual Driving Information. Sensors 21(3): 708 (2021) - [c5]Tao Deng, Yi Huang, Junfeng Zhang:
MLFF: Multiple Low-Level Features Fusion Model for Retinal Vessel Segmentation. BIC-TA (2) 2021: 271-281 - [c4]Tao Deng, Fei Yan, Hongmei Yan:
Driving Video Fixation Prediction Model Via Spatio-Temporal Networks and Attention Gates. ICME 2021: 1-6 - [c3]Jiyong Zhang, Tao Deng, Fei Yan, Wenbo Liu:
DRSTNet: A Robust Spatio-temporal Network with Dilated Residual Convolutions for Lane Detection. ICVISP 2021: 49-54 - [c2]Jiyong Zhang, Fei Yan, Wenbo Liu, Tao Deng:
A Robust Lane Detection Model via Vertical Spatial Convolutions. ITSC 2021: 2835-2840 - 2020
- [j3]Tao Deng, Hongmei Yan, Long Qin, Thuyen Ngo, B. S. Manjunath:
How Do Drivers Allocate Their Potential Attention? Driving Fixation Prediction via Convolutional Neural Networks. IEEE Trans. Intell. Transp. Syst. 21(5): 2146-2154 (2020) - [i2]Jiyong Zhang, Tao Deng, Fei Yan, Wenbo Liu:
Lane Detection Model Based on Spatio-Temporal Network with Double ConvGRUs. CoRR abs/2008.03922 (2020) - [i1]Wenbo Liu, Fei Yan, Kuan Tang, Jiyong Zhang, Tao Deng:
Lane detection in complex scenes based on end-to-end neural network. CoRR abs/2010.13422 (2020)
2010 – 2019
- 2018
- [j2]Tao Deng, Hongmei Yan, Yong-Jie Li:
Learning to Boost Bottom-Up Fixation Prediction in Driving Environments via Random Forest. IEEE Trans. Intell. Transp. Syst. 19(9): 3059-3067 (2018) - 2016
- [j1]Tao Deng, Kaifu Yang, Yongjie Li, Hongmei Yan:
Where Does the Driver Look? Top-Down-Based Saliency Detection in a Traffic Driving Environment. IEEE Trans. Intell. Transp. Syst. 17(7): 2051-2062 (2016) - 2014
- [c1]Tao Deng, Andong Chen, Min Gao, Hongmei Yan:
Top-down based saliency model in traffic driving environment. ITSC 2014: 75-80
Coauthor Index
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last updated on 2024-07-19 21:10 CEST by the dblp team
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