Wenjing Li
Orcid: 0000-0003-3201-6675Affiliations:
- Chinese Academy of Sciences, High Magnetic Field Laboratory, Hefei, China
- University of Science and Technology of China, Department of Computer Science, Hefei, China (PhD)
- Jiangnan University, School of Internet of Things Engineering, Wuxi, China (until 2016)
According to our database1,
Wenjing Li
authored at least 19 papers
between 2018 and 2024.
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Bibliography
2024
Strong-Help-Weak: An Online Multi-Task Inference Learning Approach for Robust Advanced Driver Assistance Systems.
IEEE Trans. Intell. Transp. Syst., November, 2024
MIFI: MultI-Camera Feature Integration for Robust 3D Distracted Driver Activity Recognition.
IEEE Trans. Intell. Transp. Syst., January, 2024
CoRR, 2024
AllWeatherNet:Unified Image enhancement for autonomous driving under adverse weather and lowlight-conditions.
CoRR, 2024
MIFI: MultI-camera Feature Integration for Roust 3D Distracted Driver Activity Recognition.
CoRR, 2024
AllWeather-Net: Unified Image Enhancement for Autonomous Driving Under Adverse Weather and Low-Light Conditions.
Proceedings of the Pattern Recognition - 27th International Conference, 2024
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Textual Knowledge Matters: Cross-Modality Co-teaching for Generalized Visual Class Discovery.
Proceedings of the Computer Vision - ECCV 2024, 2024
Proceedings of the Computer Vision - ECCV 2024, 2024
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
2023
YOLOv4-dense: A smaller and faster YOLOv4 for real-time edge-device based object detection in traffic scene.
IET Image Process., February, 2023
IEEE Trans. Intell. Transp. Syst., 2023
IEEE Trans. Intell. Transp. Syst., 2023
2022
Learning Accurate, Speedy, Lightweight CNNs via Instance-Specific Multi-Teacher Knowledge Distillation for Distracted Driver Posture Identification.
IEEE Trans. Intell. Transp. Syst., 2022
2021
Contextual similarity-based multi-level second-order attention network for semi-supervised few-shot learning.
Neurocomputing, 2021
2020
LGSim: local task-invariant and global task-specific similarity for few-shot classification.
Neural Comput. Appl., 2020
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
2019
Attention-Based Convolutional and Recurrent Neural Networks for Driving Behavior Recognition Using Smartphone Sensor Data.
IEEE Access, 2019
2018
Cross-covariance regularized autoencoders for nonredundant sparse feature representation.
Neurocomputing, 2018