Publications

These works provide an overview of my research.

( * indicates the corresponding author.)

Traffic Participant Detection

Zhou, W., Wang, C., Xia, J., Qian, Z., & Wu, Y. (2023). Monitoring-based traffic participant detection in urban mixed traffic: A novel dataset and a tailored detector. IEEE Transactions on Intelligent Transportation Systems. ( JCR Q1, IF =8.5 ) [Paper]

Detection results of a detector trained on our proposed dataset (SEU_PML)
Zhou, W., Wang, C., Ge, Y., Wen, L., & Zhan, Y. (2023). All-Day Vehicle Detection From Surveillance Videos Based on Illumination-Adjustable Generative Adversarial Network. IEEE Transactions on Intelligent Transportation Systems.( JCR Q1, IF =8.5 ) [Paper]

Our IA-GAN could transform day-time images into synthetic nighttime images under divers illumination

Zhou, W., Wen, L., Zhan, Y., & Wang, C. (2023). An appearance-motion network for vision-based crash detection: Improving the accuracy in congested traffic. IEEE transactions on intelligent transportation systems. ( JCR Q1, IF =8.5 ) [Paper]

Detection Demo1 towards Road Accidents

Detection Demo2 towards Road Accidents
Zhou, W., Yu, Y., Zhan, Y., & Wang, C. (2022). A vision-based abnormal trajectory detection framework for online traffic incident alert on freeways. Neural Computing and Applications, 34(17), 14945-14958. ( JCR Q2, IF =6.0 ) [Paper]
Wang, C., Zhou, W *., Yan, J., & Gong, Y. (2023). 一种用于道路交通事故自动检测的改进双流网络. China Journal of Highway and Transport. ( Top 1 transportation journal in China) [Paper]

Zhou, W., Liu, Y., Zhao, L., Xu, S., & Wang, C. (2023). Pedestrian Crossing Intention Prediction From Surveillance Videos for Over-the-Horizon Safety Warning. IEEE Transactions on Intelligent Transportation Systems. ( JCR Q1, IF =8.5 ) [Paper]

Pedestrian Crossing Intention Prediction based on Interaction Modeling and Behavior Analysis
Zhao, L., Zhou, W., Xu, S., Chen, Yu., & Wang, C. * . Multi-agent trajectory prediction at unsignalized intersections: an improved generative adversarial network accounting for collision avoidance behaviors. Transportation Research Part C ( JCR Q1, IF =8.3 ) (Minor Revision)

Zhou, W., Zhan, Y., Zhang, H., Zhao, L., & Wang, C. (2022). Road defect detection from on-board cameras with scarce and cross-domain data. Automation in Construction, 144, 104628. ( JCR Q1, IF =10.3 ) [Paper]

Few Shot Learning Framework for Crack Detection with Few Labeled Samples
Zhou, W., Liu, Y., Wang, C., Zhan, Y., Dai, Y., & Wang, R. (2022). An automated learning framework with limited and cross-domain data for traffic equipment detection from surveillance videos. IEEE Transactions on Intelligent Transportation Systems, 23(12), 24891-24903. ( JCR Q1, IF =8.5 ) [Paper]
Zhou, W., Cui, Y., Huang, H., Huang, H., & Wang, C. (2024). A fast and data-efficient deep learning framework for multi-class fruit blossom detection. Computers and Electronics in Agriculture, 217, 108592. ( JCR Q1, IF =8.3 ) [Paper]
Zhou, W., Zhao, L., Huang, H., Chen, Y., Xu, S., & Wang, C. (2023). Automatic waste detection with few annotated samples: improving waste management efficiency. Engineering Applications of Artificial Intelligence, 120, 105865. ( JCR Q1, IF =8.0 ) [Paper]

Zhou, W., Huang, H., Zhang, H., & Wang, C. * . Teaching Segment-Anything-Model Domain-specific Knowledge for Road Crack Segmentation from On-board Cameras. IEEE Transactions on Intelligent Transportation Systems. ( JCR Q1, IF =8.5 ) [Paper]

Zhou, W.,Zheng Nan, & Wang, C. * . Synthesizing Realistic Traffic Events from UAV Perspectives: A Mask-guided Generative Approach Based on Style-modulated Transformer. IEEE Transactions on Intelligent Vehicles. ( JCR Q1, IF =14 ) (Accepted)

Zhou, W., Zhao, L., Zhang R., Huang, H., Cui Y., Qie K.,, & Wang, C. * . Vision Technologies with Applications in Traffic Surveillance Systems: A Holistic Survey. ACM Computing Surveys ( JCR Q1, IF =23.8 ) (Under Review)