Lisha Cui

According to our database, Lisha Cui authored at least 16 papers between 2017 and 2026.

Collaborative distances:

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

2026

Global context guided refinement and aggregation network for lightweight surface defect detection.

Feng Yan, Xiaoheng Jiang, Yang Lu, Lisha Cui, Jiale Cao, Ming Liang Xu

Pattern Recognit., 2026

2025

A Three-Branch Cross-Modal Interactive Network for RGB-D Salient Defect Detection.

Lisha Cui, Ming Ma, Chaochao Li, Xiaoheng Jiang, Zhiwen Song, Lijian Fan, Ming Liang Xu

IEEE Trans. Instrum. Meas., 2025

Bounding Box-Derived Mask Guidance Network for Accurate Surface Defect Detection.

Lisha Cui, Xin Ma, Fengye Tian, Qianqian Tong, Xiaoheng Jiang, Ming Liang Xu

Proceedings of the Pattern Recognition and Computer Vision - 8th Chinese Conference, 2025

LAGNet: A Location-Aware Guidance Network for Weak and Strip Defect Detection.

Lisha Cui, Helong Jiao, Tengyue Liu, Chunyan Niu, Ming Ma, Xiaoheng Jiang, Mingliang Xu

Proceedings of the Computational Visual Media - 13th International Conference, 2025

2024

Knowledge Distillation via Hierarchical Matching for Small Object Detection.

Yong-Chi Ma, Xiao Ma, Tianran Hao, Lisha Cui, Shaohui Jin, Pei Lyu

J. Comput. Sci. Technol., July, 2024

TAANet: A Task-Aware Attention Network for Weak Surface Defect Detection.

Lisha Cui, Suran Xie, Enqing Chen, Xiaoheng Jiang, Zhiyu Wang, Xunjiang Guo, Mingliang Xu

IEEE Trans. Instrum. Meas., 2024

Foreground and Background Separate Adaptive Equilibrium Gradients Loss for Long-Tail Object Detection.

Tianran Hao, Ying Tao, Meng Li, Xiao Ma, Peng Dong, Lisha Cui, Pei Lv, Mingliang Xu

Proceedings of the Computational Visual Media - 12th International Conference, 2024

2023

Global Context Aggregation Network for Lightweight Saliency Detection of Surface Defects.

Feng Yan, Xiaoheng Jiang, Yang Lu, Lisha Cui, Shupan Li, Jiale Cao, Mingliang Xu, Dacheng Tao

CoRR, 2023

2022

Context-Aware Block Net for Small Object Detection.

Lisha Cui, Pei Lv, Xiaoheng Jiang, Zhimin Gao, Bing Zhou, Luming Zhang, Ling Shao, Mingliang Xu

IEEE Trans. Cybern., 2022

2021

SDDNet: A Fast and Accurate Network for Surface Defect Detection.

Lisha Cui, Xiaoheng Jiang, Mingliang Xu, Wanqing Li, Pei Lv, Bing Zhou

IEEE Trans. Instrum. Meas., 2021

Contrastive Proposal Extension with LSTM Network for Weakly Supervised Object Detection.

Pei Lv, Suqi Hu, Tianran Hao, Haohan Ji, Lisha Cui, Haoyi Fan, Mingliang Xu, Changsheng Xu

CoRR, 2021

2020

MDSSD: multi-scale deconvolutional single shot detector for small objects.

Lisha Cui, Rui Ma, Pei Lv, Xiaoheng Jiang, Zhimin Gao, Bing Zhou, Mingliang Xu

Sci. China Inf. Sci., 2020

2019

D-STC: Deep learning with spatio-temporal constraints for train drivers detection from videos.

Mingliang Xu, Fang Hao, Pei Lv, Lisha Cui, Shuo Zhang, Bing Zhou

Pattern Recognit. Lett., 2019

Multi-scale discriminative Region Discovery for Weakly-Supervised Object Localization.

Pei Lv, Haiyu Yu, Junxiao Xue, Junjin Cheng, Lisha Cui, Bing Zhou, Mingliang Xu, Yi Yang

CoRR, 2019

2018

MDSSD: Multi-scale Deconvolutional Single Shot Detector for small objects.

Lisha Cui

CoRR, 2018

2017

Defects detection based on sparse regularization method for electromagnetic tomography (EMT).

Qi Wang, Lisha Cui, Yukuan Sun, Jianming Wang, Weiming Yang, Ronghua Zhang, Huaxiang Wang

Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2017