Bingyu Lu

According to our database, Bingyu Lu authored at least 9 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Generation Is Compression: Zero-Shot Video Coding via Stochastic Rectified Flow.

Ziyue Zeng, Xun Su, Haoyuan Liu, Bingyu Lu, Yui Tatsumi, Hiroshi Watanabe

CoRR, March, 2026

Enhancing RGB-IR object detection: a frozen backbone approach with multi-receptive field attention.

Bingyu Lu, Haoyuan Liu, Hiroshi Watanabe

Vis. Comput., February, 2026

2024

Metal Surface Defect Detection Method Based on Improved Cascade R-CNN.

Yani Wang, Xiang Wang, Ruiyang Hao, Bingyu Lu, Biqing Huang

J. Comput. Inf. Sci. Eng., April, 2024

A texture-aware one-stage fabric defect detection network with adaptive feature fusion and multi-task training.

Bingyu Lu, Biqing Huang

J. Intell. Manuf., March, 2024

Deep learning assisted high resolution microscopy image processing for phase segmentation in functional composite materials.

Ganesh Raghavendran, Bing Han, Fortune Adekogbe, Shuang Bai, Bingyu Lu, William Wu, Minghao Zhang, Ying Shirley Meng

CoRR, 2024

2022

A Multiscale Convolutional Registration Network for Defect Inspection on Periodic Lace Surfaces.

Ding Xu, Bingyu Lu, Biqing Huang

IEEE Trans. Instrum. Meas., 2022

Deep Adversarial Data Augmentation for Fabric Defect Classification With Scarce Defect Data.

Bingyu Lu, Meng Zhang, Biqing Huang

IEEE Trans. Instrum. Meas., 2022

Deep-learning-based anomaly detection for lace defect inspection employing videos in production line.

Bingyu Lu, Ding Xu, Biqing Huang

Adv. Eng. Informatics, 2022

2021

A steel surface defect inspection approach towards smart industrial monitoring.

Ruiyang Hao, Bingyu Lu, Ying Cheng, Xiu Li, Biqing Huang

J. Intell. Manuf., 2021