| Where Does the Driver Look? Top-Down-Based Saliency Detection in a Traffic Driving Environment T Deng, K Yang, Y Li, H Yan IEEE Transactions on Intelligent Transportation Systems 17 (7), 2051 - 2062, 2016 | 91 | 2016 |
| How Do Drivers Allocate Their Potential Attention? Driving Fixation Prediction via Convolutional Neural Networks T Deng, H Yan, L Qin, T Ngo, BS Manjunath IEEE Transactions on Intelligent Transportation Systems 21 (5), 2146-2154, 2020 | 87 | 2020 |
| Learning to Boost Bottom-Up Fixation Prediction in Driving Environments via Random Forest T Deng, H Yan, YJ Li IEEE Transactions on Intelligent Transportation Systems 19 (9), 3059-3067, 2018 | 30 | 2018 |
| ID-YOLO: Real-time salient object detection based on the driver’s fixation region L Qin, Y Shi, Y He, J Zhang, X Zhang, Y Li, T Deng, H Yan IEEE Transactions on Intelligent Transportation Systems 23 (9), 15898-15908, 2022 | 28 | 2022 |
| Lane detection model based on spatio-temporal network with double convolutional gated recurrent units J Zhang, T Deng, F Yan, W Liu IEEE Transactions on Intelligent Transportation Systems 23 (7), 6666-6678, 2021 | 28 | 2021 |
| Top-down based saliency model in traffic driving environment T Deng, A Chen, M Gao, H Yan 17th International IEEE Conference on Intelligent Transportation Systems …, 2014 | 16 | 2014 |
| Driving video fixation prediction model via spatio-temporal networks and attention gates T Deng, F Yan, H Yan 2021 IEEE International Conference on Multimedia and Expo (ICME), 1-6, 2021 | 9 | 2021 |
| Driving as well as on a sunny day? predicting driver's fixation in rainy weather conditions via a dual-branch visual model H Tian, T Deng, H Yan IEEE/CAA Journal of Automatica Sinica 9 (7), 1335-1338, 2022 | 8 | 2022 |
| A robust lane detection model using vertical spatial features and contextual driving information W Liu, F Yan, J Zhang, T Deng Sensors 21 (3), 708, 2021 | 6 | 2021 |
| Fastest containment control of discrete-time multi-agent systems using static linear feedback protocol J Zhang, F Yan, T Feng, T Deng, Y Zhao Information Sciences 614, 362-373, 2022 | 5 | 2022 |
| Lane detection in complex scenes based on end-to-end neural network W Liu, F Yan, K Tang, J Zhang, T Deng 2020 Chinese Automation Congress (CAC), 4300-4305, 2020 | 4 | 2020 |
| Driving Visual Saliency Prediction of Dynamic Night Scenes via a Spatio-Temporal Dual-Encoder Network T Deng, L Jiang, Y Shi, J Wu, Z Wu, S Yan, X Zhang, H Yan IEEE Transactions on Intelligent Transportation Systems, 2023 | 3 | 2023 |
| Rethinking the detection head configuration for traffic object detection Y Shi, J Wu, S Zhao, G Gao, T Deng, H Yan arXiv preprint arXiv:2210.03883, 2022 | 3 | 2022 |
| Lane Detection Model Based on Spatio-Temporal Network with Double ConvGRUs J Zhang, T Deng, F Yan, W Liu arXiv, 2020 | 3 | 2020 |
| Mlff: Multiple low-level features fusion model for retinal vessel segmentation T Deng, Y Huang, J Zhang International Conference on Bio-Inspired Computing: Theories and …, 2021 | 2 | 2021 |
| A generative adversarial network with attention module for unpaired image-to-image translation R An, F Yan, T Deng 2021 China Automation Congress (CAC), 2526-2531, 2021 | 2 | 2021 |
| A Robust Lane Detection Model via Vertical Spatial Convolutions J Zhang, F Yan, W Liu, T Deng 2021 IEEE International Intelligent Transportation Systems Conference (ITSC …, 2021 | 2 | 2021 |
| Multi-level spatial-temporal and attentional information deep fusion network for retinal vessel segmentation Y Huang, T Deng Physics in Medicine & Biology 68 (19), 195026, 2023 | 1 | 2023 |
| A Lightweight Network with Lane Feature Enhancement for Multilane Drivable Area Detection L Sun, F Yan, T Deng, C Jiang, J Li 2022 14th International Conference on Wireless Communications and Signal …, 2022 | 1 | 2022 |
| STSANet: retinal vessel segmentation via spatial-temporal and self-attention encoding Y Huang, T Deng 2022 14th International Conference on Wireless Communications and Signal …, 2022 | 1 | 2022 |
Yongjie LiUniversity of Electronic Science and Technology of China在 uestc.edu.cn 的电子邮件经过验证
