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ORCIDWenjing Li 0005
Person information
- affiliation: Chinese Academy of Sciences, High Magnetic Field Laboratory, Hefei, China
- affiliation (PhD): University of Science and Technology of China, Department of Computer Science, Hefei, China
- affiliation (until 2016): Jiangnan University, School of Internet of Things Engineering, Wuxi, China
Other persons with the same name
- Wenjing Li — disambiguation page
- Wenjing Li 0001
![[0000-0003-3852-1007]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0003-3852-1007")
— Beijing University of Posts and Telecommunications, State Key Laboratory of Networking and Switching Technology, China - Wenjing Li 0002 — Wuhan University of Science and Technology, School of Resources and Environment Engineering, China
- Wenjing Li 0003 — Chinese University of Hong Kong, Hong Kong
- Wenjing Li 0004 — Beijing University of Technology, Faculty of Information Technology, Beijing Key Laboratory of Computational Intelligence and Intelligent System, Beijing, China
- Wenjing Li 0006 — University of Tokyo, Graduate School of Frontier Sciences, Center for Spatial Information Science, Tokyo, Japan
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Journal Articles
- 2024
[j10]Jian Kuang, Wenjing Li, Fang Li, Jun Zhang, Zhongcheng Wu:
MIFI: MultI-Camera Feature Integration for Robust 3D Distracted Driver Activity Recognition. IEEE Trans. Intell. Transp. Syst. 25(1): 338-348 (2024)- [j9]Yue Jiang, Wenjing Li, Jian Kuang, Jun Zhang, Zhongcheng Wu, Mahdi Rezaei:
Strong-Help-Weak: An Online Multi-Task Inference Learning Approach for Robust Advanced Driver Assistance Systems. IEEE Trans. Intell. Transp. Syst. 25(11): 16653-16665 (2024) - 2023
- [j8]Yue Jiang, Wenjing Li, Jun Zhang, Fang Li, Zhongcheng Wu:
YOLOv4-dense: A smaller and faster YOLOv4 for real-time edge-device based object detection in traffic scene. IET Image Process. 17(2): 570-580 (2023) - [j7]Jing Wang, Wenjing Li, Fang Li, Jun Zhang, Zhongcheng Wu, Zhun Zhong, Nicu Sebe:
100-Driver: A Large-Scale, Diverse Dataset for Distracted Driver Classification. IEEE Trans. Intell. Transp. Syst. 24(7): 7061-7072 (2023) - [j6]Xinkuang Wang, Wenjing Li, Zhongcheng Wu:
CarDD: A New Dataset for Vision-Based Car Damage Detection. IEEE Trans. Intell. Transp. Syst. 24(7): 7202-7214 (2023) - 2022
- [j5]Wenjing Li, Jing Wang, Tingting Ren, Fang Li, Jun Zhang, Zhongcheng Wu:
Learning Accurate, Speedy, Lightweight CNNs via Instance-Specific Multi-Teacher Knowledge Distillation for Distracted Driver Posture Identification. IEEE Trans. Intell. Transp. Syst. 23(10): 17922-17935 (2022) - 2021
- [j4]Wenjing Li, Tingting Ren, Fang Li, Jun Zhang, ZhongCheng Wu:
Contextual similarity-based multi-level second-order attention network for semi-supervised few-shot learning. Neurocomputing 461: 336-349 (2021) - 2020
- [j3]Wenjing Li, ZhongCheng Wu, Jun Zhang, Tingting Ren, Fang Li:
LGSim: local task-invariant and global task-specific similarity for few-shot classification. Neural Comput. Appl. 32(16): 13065-13076 (2020) - 2019
- [j2]Jun Zhang, ZhongCheng Wu, Fang Li, Jianfei Luo, Tingting Ren, Song Hu, Wenjing Li, Wei Li:
Attention-Based Convolutional and Recurrent Neural Networks for Driving Behavior Recognition Using Smartphone Sensor Data. IEEE Access 7: 148031-148046 (2019) - 2018
- [j1]Jie Chen, ZhongCheng Wu, Jun Zhang, Fang Li, Wenjing Li, Ziheng Wu:
Cross-covariance regularized autoencoders for nonredundant sparse feature representation. Neurocomputing 316: 49-58 (2018)
Conference and Workshop Papers
- 2024
- [c6]Nan Pu, Wenjing Li, Xingyuan Ji, Yalan Qin, Nicu Sebe, Zhun Zhong:
Federated Generalized Category Discovery. CVPR 2024: 28741-28750 - [c5]Haiyang Zheng, Nan Pu, Wenjing Li, Nicu Sebe, Zhun Zhong:
Textual Knowledge Matters: Cross-Modality Co-teaching for Generalized Visual Class Discovery. ECCV (52) 2024: 41-58 - [c4]Fengxiang Yang, Nan Pu, Wenjing Li, Zhiming Luo, Shaozi Li, Nicu Sebe, Zhun Zhong:
Learning to Distinguish Samples for Generalized Category Discovery. ECCV (65) 2024: 105-122 - [c3]Mingxuan Liu, Subhankar Roy, Wenjing Li, Zhun Zhong, Nicu Sebe, Elisa Ricci:
Democratizing Fine-grained Visual Recognition with Large Language Models. ICLR 2024 - [c2]Chenghao Qian, Mahdi Rezaei, Saeed Anwar, Wenjing Li, Tanveer Hussain, Mohsen Azarmi, Wei Wang:
AllWeather-Net: Unified Image Enhancement for Autonomous Driving Under Adverse Weather and Low-Light Conditions. ICPR (30) 2024: 151-166 - 2020
- [c1]Wenjing Li, ZhongCheng Wu:
OVL: One-View Learning for Human Retrieval. AAAI 2020: 11410-11417
Informal and Other Publications
- 2024
- [i6]Mingxuan Liu, Subhankar Roy, Wenjing Li, Zhun Zhong, Nicu Sebe, Elisa Ricci:
Democratizing Fine-grained Visual Recognition with Large Language Models. CoRR abs/2401.13837 (2024) - [i5]Jian Kuang, Wenjing Li, Fang Li, Jun Zhang, Zhongcheng Wu:
MIFI: MultI-camera Feature Integration for Roust 3D Distracted Driver Activity Recognition. CoRR abs/2401.14115 (2024) - [i4]Haiyang Zheng, Nan Pu, Wenjing Li, Nicu Sebe, Zhun Zhong:
Textual Knowledge Matters: Cross-Modality Co-Teaching for Generalized Visual Class Discovery. CoRR abs/2403.07369 (2024) - [i3]Chenghao Qian, Mahdi Rezaei, Saeed Anwar, Wenjing Li, Tanveer Hussain, Mohsen Azarmi, Wei Wang:
AllWeatherNet:Unified Image enhancement for autonomous driving under adverse weather and lowlight-conditions. CoRR abs/2409.02045 (2024) - [i2]Haiyang Zheng, Nan Pu, Wenjing Li, Nicu Sebe, Zhun Zhong:
Prototypical Hash Encoding for On-the-Fly Fine-Grained Category Discovery. CoRR abs/2410.19213 (2024) - 2022
- [i1]Xinkuang Wang, Wenjing Li, Zhongcheng Wu:
CarDD: A New Dataset for Vision-based Car Damage Detection. CoRR abs/2211.00945 (2022)
Coauthor Index
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