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Linu Shine

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2020 – today

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2021
[c6]
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Linu Shine, C. V. Jiji:
Comparative Analysis of Two Stage and Single Stage Detectors for Anomaly Detection. ICCCNT 2021: 1-6
2020
[j1]
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Linu Shine, C. Victor Jiji:
Automated detection of helmet on motorcyclists from traffic surveillance videos: a comparative analysis using hand-crafted features and CNN. Multim. Tools Appl. 79(19-20): 14179-14199 (2020)
[c5]
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Linu Shine, Vaishnav M. A, C. V. Jiji:
Fractional Data Distillation Model for Anomaly Detection in Traffic Videos. CVPR Workshops 2020: 2581-2589
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Heng Fan, Dawei Du, Longyin Wen, Pengfei Zhu, Qinghua Hu, Haibin Ling, Mubarak Shah, Junwen Pan, Arne Schumann, Bin Dong, Daniel Stadler, Duo Xu, Filiz Bunyak, Guna Seetharaman, Guizhong Liu, V. Haritha, Hrishikesh P. S, Jie Han, Kannappan Palaniappan, Kaojin Zhu, Lars Wilko Sommer, Libo Zhang, Linu Shine, Min Yao, Noor M. Al-Shakarji, Shengwen Li, Ting Sun, Wang Sai, Wentao Yu, Xi Wu, Xiaopeng Hong, Xing Wei, Xingjie Zhao, Yanyun Zhao, Yihong Gong, Yuehan Yao, Yuhang He, Zhaoze Zhao, Zhen Xie, Zheng Yang, Zhenyu Xu, Zhipeng Luo, Zhizhao Duan:
VisDrone-MOT2020: The Vision Meets Drone Multiple Object Tracking Challenge Results. ECCV Workshops (4) 2020: 713-727

2010 – 2019

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2019
[c3]
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  - electronic edition @ thecvf.com (open access)
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Linu Shine, Anitha Edison, C. V. Jiji:
A Comparative Study of Faster R-CNN Models for Anomaly Detection in 2019 AI City Challenge. CVPR Workshops 2019: 306-314
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Shehan P. Rajendran, Linu Shine, R. Pradeep, Sajith Vijayaraghavan:
Real-Time Traffic Sign Recognition using YOLOv3 based Detector. ICCCNT 2019: 1-7
[c1]
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Bhadra Varma, Sibin Sam, Linu Shine:
Vision Based Advanced Driver Assistance System Using Deep Learning. ICCCNT 2019: 1-5

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