Wen, Longyin

Single-Shot Refinement Neural Network for Object Detection

Zhang, S., Wen, L., Bian, X., Lei, Z., & Li, S. Z. (2018) · 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition

Advanced Neural Network ApplicationsAdvanced Image and Video Retrieval Techniques

Cited by 1,678

Detection and tracking meet drones challenge

Zhu, P., Wen, L., Du, D., Bian, X., Fan, H., Hu, Q., & Ling, H. (2022) · IEEE Transactions on Pattern Analysis and Machine Intelligence

Advanced Neural Network ApplicationsVideo Surveillance and Tracking Methods

Cited by 1,336

UA-DETRAC: A New Benchmark and Protocol for Multi-Object Detection and Tracking

Wen, L., Du, D., Cai, Z., Lei, Z., Chang, M.-C., Qi, H., Lim, J., Yang, M.-H., & Lyu, S. (2020) · Computer Vision and Image Understanding

Video Surveillance and Tracking MethodsAutonomous Vehicle Technology and Safety

Cited by 804

Occlusion-Aware R-CNN: Detecting Pedestrians in a Crowd

Zhang, S., Wen, L., Bian, X., Lei, Z., & Li, S. Z. (2018) · Lecture Notes in Computer Science

Advanced Neural Network ApplicationsVideo Surveillance and Tracking Methods

Cited by 488

Vision meets drones: A challenge

Zhu, P., Wen, L., Bian, X., Ling, H., & Hu, Q. (2018) · arXiv

Advanced Neural Network ApplicationsVideo Surveillance and Tracking Methods

Cited by 352

Guided attention network for object detection and counting on drones

YuanQiang, C., Du, D., Zhang, L., Wen, L., Wang, W., Wu, Y., & Lyu, S. (2020) · Proceedings of the 28th ACM International Conference on Multimedia

Advanced Neural Network ApplicationsVisual Attention and Saliency Detection

Cited by 58