Tao Deng

Research Interests: 

Human visual attention modeling (including bottom-up and top-down), eye tracking, saliency detection, computer vision, deep learning, image/video processing, traffic driving scene visual prediction model, intelligent transportation. 

Employment:

2018.09--2021.12

Assistant Professor, School of Information Science and Technology, Southwest Jiaotong University, Chengdu, China. 

2018.01--2021.12

Assistant Professor, School of Information Science and Technology, Southwest Jiaotong University, Chengdu, China. 

2022.01--now

Associate Professor, School of Information Science and Technology, Southwest Jiaotong University, Chengdu, China. 

Education:

2012.09--2018.06  

M.S. & Ph.D. program in Visual attention,  Vision computation, Computer Vision, Saliency detection, Intelligent transportation

Center for Visual Cognition and Brain-Inspired Computation (ViCBiC), Key Laboratory for Neuroinformation of the Ministry of Education, University of Electronic Science and Technology of China(UESTC), Chengdu, China    (superadvisor: Hongmei Yan) 

2008.09--2012.07 

B.S. in Information and Computing Science Department of Mathematics and Computer Science, Hunan University of Science and Technology

Experience:

2016.10--2017.10

Visiting joint-PhD student program about '' image/video saliency prediction in the traffic driving environment'' at Vision Research Lab, Department of Electrical and Computer Engineering, University of California Santa Barbara, CA, USA. Superadvisor: Prof.  B.S. Manjunath.

Sponsored by China Scholarship Council.

Publications: 

1. Jiyong Zhang, Tao Deng*, and Fei Yan. TARConvGRU: A Cross-dimension Spatiotemporal Model for Lane Detection. International Joint Conference on Neural Networks, 2022.

2. Shihui Ji, Tao Deng*, Fei Yan, and Pengcheng Du. A Driving Position-Sensitive Neural Network for Driver Fixation Prediction. The 41st Chinese Control Conference , 2022.

3. Yi Huang and Tao Deng*. STSANet: Retinal Vessel Segmentation via Spatial-Temporal and Self-Attention Encoding. International Conference on Wireless Communications and Signal Processing (WCSP 2022). 2022.

4. Han Tian, Tao Deng*, and 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 Journal of Automatica Sinica, 2022.

5. Long Qin, Yi Shi, Yahui He, Junrui Zhang, Xianshi Zhang, Yongjie Li, Tao Deng* and Hongmei Yan*. ID-YOLO: Real-Time Salient Object Detection Based on the Driver's Fixation Region.  IEEE Transactions on Intelligent Transportation Systems (TITS), 2022. DOI: 10.1109/TITS.2022.3146271.

6. Tao Deng*, Yi Huang, and Junfeng Zhang. MLFF: Multiple Low-level Features Fusion Model for Retinal Vessel Segmentation.  International Conference on Bio-Inspired Computing: Theories and Applications (BIC-TA). Springer, Singapore, 2021: 271-281.

7. Jiyong Zhang, Tao Deng*, Fei Yan and Wenbo Liu. DRSTNet: A Robust Spatio-temporal Network with Dilated Residual Convolutions for Lane Detection. 2021 5th International Conference on Vision, Image and Signal Processing (ICVISP). IEEE, 2021: 49-54.

8. Jiyong Zhang, Fei Yan, Wenbo Liu, and Tao Deng. A Robust Lane Detection Model via Vertical Spatial Convolutions. IEEE International Intelligent Transportation Systems Conference (ITSC). IEEE, 2021: 2835-2840.

9. Tao Deng*, Fei Yan, Hongmei Yan. Driving Video Fixation Prediction Model via Spatio-Temporal Networks and Attention Gates. IEEE International Conference on Multimedia and Expo (ICME), 2021, pp. 1-6, DOI: 10.1109/ICME51207.2021.9428151.

10. Jiyong Zhang, Tao Deng*, Fei Yan, Wenbo Liu; Lane Detection Model Based on Spatio-Temporal Network with Double Convolutional Gated Recurrent Units, IEEE Transactions on Intelligent Transportation Systems, 2021, DOI: 10.1109/TITS.2021.3060258, Accepted. [Link]

11. 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. [Link]

12. 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 Transactions on Intelligent Transportation Systems. 21(5): 2146-2154, 2020. [Github]

13. Wenbo Liu, Fei Yan, Kuan Tang, and Tao Deng. Lane detection in complex scenes based on end-to-end neural network. 2020 Chinese Automation Congress (CAC). IEEE, 2020: 4300-4305.

14. T. Deng, H. Yan, Y. Li. Learning to Boost Bottom-Up Fixation Prediction in Driving Environments via Random Forest. IEEE Transactions on Intelligent Transportation Systems,  19(9):3059-3067, 2018.   [PDF] [Dataset]

15. T. Deng, K. Yang, Y. Li, H. Yan. Where does the driver look? Top-down based saliency detection in a traffic driving environment. IEEE Transactions on Intelligent Transportation Systems, 17 (7), 2051 - 2062, 2016. [PDF] [Code & data]

16.  Deng T, Chen A, Gao M, et al. Top-down based saliency model in traffic driving environment. IEEE 17th International Conference on Intelligent Transportation Systems (ITSC), 2014: 75-80. [PDF]

17. T. Deng, E. Luo, Y. Zhang, and H. Yan, Selective attention based saliency of traffic images and characteristics of eye movement. Journal of University of Electronic Science and Technology of China, 2014, vol. 43, no. 4, pp. 624–628. [PDF]

18. Chen X F, Deng T, Yan H M. Non-Linearity of Visual Sensitivity and Pursuit Velocity during Smooth Pursuit Eye Movements. Journal of Electronic Science and Technology, 2014 (4):394-399. [PDF]

19. T. Deng, E. Luo, H. Yan, Computational modeling of visual selective attention in road traffic environment. The 9th Asia-Pacific Conference on Vision (APCV), 2014 

Professional Activities

IEEE, CCF, CAA, CAAI Member

Reviewer for IEEE T-IP, IEEE Trans. Intelligent Transportation Systems, IEEE T-MM, Expert Systems With Applications, IEEE Intelligent Transportation Systems Magazine, IEEE ITSC, IEEE ICRA, IEEE Trans Intelligent Vehicle

Update 4.7.2022