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Linu Shine
Linu Shine
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Real-time traffic sign recognition using YOLOv3 based detector
SP Rajendran, L Shine, R Pradeep, S Vijayaraghavan
2019 10th International Conference on Computing, Communication and …, 2019
402019
Automated detection of helmet on motorcyclists from traffic surveillance videos: a comparative analysis using hand-crafted features and CNN
L Shine, J CV
Multimedia Tools and Applications 79 (19), 14179-14199, 2020
282020
A comparative study of faster r-cnn models for anomaly detection in 2019 ai city challenge
L Shine, A Edison, CV Jiji
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019
172019
Fractional data distillation model for anomaly detection in traffic videos
L Shine, J CV
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
122020
Real-time traffic light detection and recognition based on deep retinanet for self driving cars
AN Aneesh, L Shine, R Pradeep, V Sajith
2019 2nd International Conference on Intelligent Computing, Instrumentation …, 2019
102019
Visdrone-mot2020: The vision meets drone multiple object tracking challenge results
H Fan, D Du, L Wen, P Zhu, Q Hu, H Ling, M Shah, J Pan, A Schumann, ...
European Conference on Computer Vision, 713-727, 2020
92020
Fast and accurate traffic sign recognition for self driving cars using retinanet based detector
SP Rajendran, L Shine, R Pradeep, S Vijayaraghavan
2019 International Conference on Communication and Electronics Systems …, 2019
62019
Vision Based Advanced Driver Assistance System Using Deep Learning
B Varma, S Sam, L Shine
2019 10th International Conference on Computing, Communication and …, 2019
32019
Comparative Analysis of Two Stage and Single Stage Detectors for Anomaly Detection
L Shine, CV Jiji
2021 12th International Conference on Computing Communication and Networking …, 2021
2021
Comparison of Background Extraction Methods for Anomaly Detection
L Shine, CV Jiji
2021 International Conference on Communication, Control and Information …, 2021
2021
1.6 V Wide Linear Range Subthreshold OTA Using 130nm CMOS Technology
L Shine
International Journal on Recent and Innovation Trends in Computing and …, 0
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Artículos 1–11