Shuang Li
Orcid: 0000-0003-4215-2195Affiliations:
- Qilu University of Technology (Shandong Academy of Sciences), School of Electronic and Information Engineering, Jinan, China
- Shandong University, Jinan, China (PhD 2021)
According to our database1,
Shuang Li
authored at least 15 papers
between 2018 and 2024.
Collaborative distances:
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Bibliography
2024
Traffic Scenario Understanding and Video Captioning via Guidance Attention Captioning Network.
IEEE Trans. Intell. Transp. Syst., May, 2024
Transfer and supplement AdaBoost for extracting region proposals of CNN in transfer-learning application.
Multim. Tools Appl., May, 2024
MSCT: Addressing Time-Varying Confounding with Marginal Structural Causal Transformer for Counterfactual Post-Crash Traffic Prediction.
CoRR, 2024
Inferring Heterogeneous Treatment Effects of Crashes on Highway Traffic: A Doubly Robust Causal Machine Learning Approach.
CoRR, 2024
2023
Traffic Agents Trajectory Prediction Based on Spatial-Temporal Interaction Attention.
Sensors, September, 2023
2022
Posture Calibration Based Cross-View & Hard-Sensitive Metric Learning for UAV-Based Vehicle Re-Identification.
IEEE Trans. Intell. Transp. Syst., 2022
Temporal Shift and Spatial Attention-Based Two-Stream Network for Traffic Risk Assessment.
IEEE Trans. Intell. Transp. Syst., 2022
Adaptive Short-Temporal Induced Aware Fusion Network for Predicting Attention Regions Like a Driver.
IEEE Trans. Intell. Transp. Syst., 2022
IEEE Trans. Cogn. Dev. Syst., 2022
2021
Bi-Directional Dense Traffic Counting Based on Spatio-Temporal Counting Feature and Counting-LSTM Network.
IEEE Trans. Intell. Transp. Syst., 2021
Adaptive multi-level feature fusion and attention-based network for arbitrary-oriented object detection in remote sensing imagery.
Neurocomputing, 2021
A Fast Vehicle Counting and Traffic Volume Estimation Method Based on Convolutional Neural Network.
IEEE Access, 2021
2019
ACF Based Region Proposal Extraction for YOLOv3 Network Towards High-Performance Cyclist Detection in High Resolution Images.
Sensors, 2019
Machine Vision Based Traffic Sign Detection Methods: Review, Analyses and Perspectives.
IEEE Access, 2019
2018
Supplemental Boosting and Cascaded ConvNet Based Transfer Learning Structure for Fast Traffic Sign Detection in Unknown Application Scenes.
Sensors, 2018