Cross-covariance regularized autoencoders for nonredundant sparse feature representation. - Jie Chen 035; ZhongCheng Wu; Jun Zhang 034; Fang Li; Wenjing Li 005; Ziheng Wu (Neurocomputing, 2018)

Attention-Based Convolutional and Recurrent Neural Networks for Driving Behavior Recognition Using Smartphone Sensor Data. - Jun Zhang 034; ZhongCheng Wu; Fang Li; Jianfei Luo; Tingting Ren; Song Hu; Wenjing Li 005; Wei Li (IEEE Access, 2019)

OVL: One-View Learning for Human Retrieval. - Wenjing Li 005; ZhongCheng Wu (AAAI, 2020)

LGSim: local task-invariant and global task-specific similarity for few-shot classification. - Wenjing Li 005; ZhongCheng Wu; Jun Zhang 034; Tingting Ren; Fang Li (Neural Comput. Appl., 2020)

Contextual similarity-based multi-level second-order attention network for semi-supervised few-shot learning. - Wenjing Li 005; Tingting Ren; Fang Li; Jun Zhang 034; ZhongCheng Wu (Neurocomputing, 2021)

Learning Accurate, Speedy, Lightweight CNNs via Instance-Specific Multi-Teacher Knowledge Distillation for Distracted Driver Posture Identification. - Wenjing Li 005; Jing Wang 092; Tingting Ren; Fang Li; Jun Zhang 034; Zhongcheng Wu (IEEE Trans. Intell. Transp. Syst., 2022)

100-Driver: A Large-Scale, Diverse Dataset for Distracted Driver Classification. - Jing Wang 092; Wenjing Li 005; Fang Li; Jun Zhang 034; Zhongcheng Wu; Zhun Zhong; Nicu Sebe (IEEE Trans. Intell. Transp. Syst., 2023)

CarDD: A New Dataset for Vision-Based Car Damage Detection. - Xinkuang Wang; Wenjing Li 005; Zhongcheng Wu (IEEE Trans. Intell. Transp. Syst., 2023)

YOLOv4-dense: A smaller and faster YOLOv4 for real-time edge-device based object detection in traffic scene. - Yue Jiang; Wenjing Li 005; Jun Zhang 034; Fang Li; Zhongcheng Wu (IET Image Process., 2023)

Federated Generalized Category Discovery. - Nan Pu; Wenjing Li 005; Xingyuan Ji; Yalan Qin; Nicu Sebe; Zhun Zhong (CVPR, 2024)

Learning to Distinguish Samples for Generalized Category Discovery. - Fengxiang Yang; Nan Pu; Wenjing Li 005; Zhiming Luo; Shaozi Li; Nicu Sebe; Zhun Zhong (ECCV (65), 2024)

Textual Knowledge Matters: Cross-Modality Co-teaching for Generalized Visual Class Discovery. - Haiyang Zheng; Nan Pu; Wenjing Li 005; Nicu Sebe; Zhun Zhong (ECCV (52), 2024)

Democratizing Fine-grained Visual Recognition with Large Language Models. - Mingxuan Liu; Subhankar Roy; Wenjing Li 005; Zhun Zhong; Nicu Sebe; Elisa Ricci 001 (ICLR, 2024)

AllWeather-Net: Unified Image Enhancement for Autonomous Driving Under Adverse Weather and Low-Light Conditions. - Chenghao Qian; Mahdi Rezaei 001; Saeed Anwar; Wenjing Li 005; Tanveer Hussain; Mohsen Azarmi; Wei Wang 335 (ICPR (30), 2024)

Prototypical Hash Encoding for On-the-Fly Fine-Grained Category Discovery. - Haiyang Zheng; Nan Pu; Wenjing Li 005; Nicu Sebe; Zhun Zhong (NeurIPS, 2024)

MIFI: MultI-camera Feature Integration for Roust 3D Distracted Driver Activity Recognition. - Jian Kuang; Wenjing Li 005; Fang Li; Jun Zhang 034; Zhongcheng Wu (CoRR, 2024)

AllWeatherNet:Unified Image enhancement for autonomous driving under adverse weather and lowlight-conditions. - Chenghao Qian; Mahdi Rezaei 001; Saeed Anwar; Wenjing Li 005; Tanveer Hussain; Mohsen Azarmi; Wei Wang 335 (CoRR, 2024)

MIFI: MultI-Camera Feature Integration for Robust 3D Distracted Driver Activity Recognition. - Jian Kuang; Wenjing Li 005; Fang Li; Jun Zhang 034; Zhongcheng Wu (IEEE Trans. Intell. Transp. Syst., 2024)

Strong-Help-Weak: An Online Multi-Task Inference Learning Approach for Robust Advanced Driver Assistance Systems. - Yue Jiang; Wenjing Li 005; Jian Kuang; Jun Zhang 034; Zhongcheng Wu; Mahdi Rezaei 001 (IEEE Trans. Intell. Transp. Syst., 2024)