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Qinqin Nie
Researcher at Tianjin University
Publications - 4
Citations - 256
Qinqin Nie is an academic researcher from Tianjin University. The author has contributed to research in topics: Drone & Object detection. The author has an hindex of 3, co-authored 4 publications receiving 123 citations.
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Book ChapterDOI
VisDrone-DET2018: The Vision Meets Drone Object Detection in Image Challenge Results
Pengfei Zhu,Longyin Wen,Dawei Du,Xiao Bian,Haibin Ling,Qinghua Hu,Qinqin Nie,Hao Cheng,Chenfeng Liu,Xiaoyu Liu,Wenya Ma,Haotian Wu,Lianjie Wang,Arne Schumann,Chase Brown,Chen Qian,Chengzheng Li,Dongdong Li,Emmanouil Michail,Fan Zhang,Feng Ni,Feng Zhu,Guanghui Wang,Haipeng Zhang,Han Deng,Hao Liu,Haoran Wang,Heqian Qiu,Honggang Qi,Honghui Shi,Hongliang Li,Hongyu Xu,Hu Lin,Ioannis Kompatsiaris,Jian Cheng,Jianqiang Wang,Jianxiu Yang,Jingkai Zhou,Juanping Zhao,K J Joseph,Kaiwen Duan,Karthik Suresh,Bo Ke,Ke Wang,Konstantinos Avgerinakis,Lars Sommer,Lei Zhang,Li Yang,Lin Cheng,Lin Ma,Liyu Lu,Lu Ding,Minyu Huang,Naveen Kumar Vedurupaka,Nehal Mamgain,Nitin Bansal,Oliver Acatay,Panagiotis Giannakeris,Qian Wang,Qijie Zhao,Qingming Huang,Qiong Liu,Qishang Cheng,Qiuchen Sun,Robert Laganiere,Sheng Jiang,Shengjin Wang,Shubo Wei,Siwei Wang,Stefanos Vrochidis,Sujuan Wang,Tiaojio Lee,Usman Sajid,Vineeth N Balasubramanian,Wei Li,Wei Zhang,Weikun Wu,Wenchi Ma,Wenrui He,Wenzhe Yang,Xiaoyu Chen,Xin Sun,Xinbin Luo,Xintao Lian,Xiufang Li,Yangliu Kuai,Yali Li,Yi Luo,Yifan Zhang,Yiling Liu,Ying Li,Yong Wang,Yongtao Wang,Yuanwei Wu,Yue Fan,Yunchao Wei,Yuqin Zhang,Zexin Wang,Zhangyang Wang,Zhaoyue Xia,Zhen Cui,Zhenwei He,Zhipeng Deng,Zhiyao Guo,Zichen Song +104 more
TL;DR: A large-scale drone-based dataset, including 8, 599 images with rich annotations, including object bounding boxes, object categories, occlusion, truncation ratios, etc, is released, to narrow the gap between current object detection performance and the real-world requirements.
Book ChapterDOI
VisDrone-VDT2018: The Vision Meets Drone Video Detection and Tracking Challenge Results
Pengfei Zhu,Longyin Wen,Dawei Du,Xiao Bian,Haibin Ling,Qinghua Hu,Haotian Wu,Qinqin Nie,Hao Cheng,Chenfeng Liu,Xiaoyu Liu,Wenya Ma,Lianjie Wang,Arne Schumann,Dan Wang,Diego Ortego,Elena de Luna,Emmanouil Michail,Erik Bochinski,Feng Ni,Filiz Bunyak,Gege Zhang,Guna Seetharaman,Guorong Li,Hongyang Yu,Ioannis Kompatsiaris,Jianfei Zhao,Jie Gao,José M. Martínez,Juan Carlos San Miguel,Kannappan Palaniappan,Konstantinos Avgerinakis,Lars Sommer,Martin Lauer,Mengkun Liu,Noor M. Al-Shakarji,Oliver Acatay,Panagiotis Giannakeris,Qijie Zhao,Qinghua Ma,Qingming Huang,Stefanos Vrochidis,Thomas Sikora,Tobias Senst,Wei Song,Wei Tian,Wenhua Zhang,Yanyun Zhao,Yidong Bai,Yinan Wu,Yongtao Wang,Yuxuan Li,Zhaoliang Pi,Zhiming Ma +53 more
TL;DR: A large-scale video object detection and tracking dataset, which consists of 79 video clips with about 1.5 million annotated bounding boxes in 33, 366 frames, and the evaluation protocol of the VisDrone-VDT2018 challenge and the results of the algorithms on the benchmark dataset are presented.
Book ChapterDOI
VisDrone-SOT2018: The Vision Meets Drone Single-Object Tracking Challenge Results
Longyin Wen,Pengfei Zhu,Dawei Du,Xiao Bian,Haibin Ling,Qinghua Hu,Chenfeng Liu,Hao Cheng,Xiaoyu Liu,Wenya Ma,Qinqin Nie,Haotian Wu,Lianjie Wang,Asanka G. Perera,Baochang Zhang,Byeongho Heo,Chunlei Liu,Dongdong Li,Emmanouil Michail,Hanlin Chen,Hao Liu,Haojie Li,Ioannis Kompatsiaris,Jian Cheng,Jiaqing Fan,Jie Zhang,Jin-Young Choi,Jing Li,Jinyu Yang,Jongwon Choi,Juanping Zhao,Jungong Han,Kaihua Zhang,Kaiwen Duan,Ke Song,Konstantinos Avgerinakis,Kyuewang Lee,Lu Ding,Martin Lauer,Panagiotis Giannakeris,Peizhen Zhang,Qiang Wang,Qianqian Xu,Qingming Huang,Qingshan Liu,Robert Laganiere,Ruixin Zhang,Sangdoo Yun,Shengyin Zhu,Sihang Wu,Stefanos Vrochidis,Wei Tian,Wei Zhang,Weidong Chen,Weiming Hu,Wenhao Wang,Wenhua Zhang,Wenrui Ding,Xiaohao He,Xiaotong Li,Xin Zhang,Xinbin Luo,Xixi Hu,Yang Meng,Yangliu Kuai,Yanyun Zhao,Yaxuan Li,Yifan Yang,Yifan Zhang,Yong Wang,Yuankai Qi,Zhipeng Deng,Zhiqun He +72 more
TL;DR: The evaluation protocol of the VisDrone-SOT2018 challenge is presented and the results of a comparison of 22 trackers on the benchmark dataset are presented, which are publicly available on the challenge website.
Book ChapterDOI
Joint Metric Learning on Riemannian Manifold of Global Gaussian Distributions
TL;DR: Experiments on video based face recognition, object recognition and material classification show that JML is superior to the state-of-the-art metric learning algorithms for Gaussians.