Feng Ni
Peking University
8 Papers
6 Citations
Feng Ni is an academic researcher from Peking University. The author has contributed to research in topics: Object detection & Drone. The author has an hindex of 5, co-authored 8 publications.
Chat about Author
Papers
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
- 08 Sep 2018
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.
VisDrone-VID2019: The Vision Meets Drone Object Detection in Video Challenge Results
Pengfei Zhu,Yue Zhang,Liefeng Bo,Hailin Shi,Rui Zhu,Bing Dong,Dheeraj Reddy Pailla,Feng Ni,Guangyu Gao,Guizhong Liu,Haitao Xiong,Dawei Du,Jing Ge,Jingkai Zhou,Jinrong Hu,Lin Sun,Long Chen,Martin Lauer,Qiong Liu,Sai Saketh Chennamsetty,Ting Sun,Tong Wu,Longyin Wen,Varghese Alex Kollerathu,Wei Tian,Weida Qin,Xier Chen,Xingjie Zhao,Yanchao Lian,Yinan Wu,Ying Li,Yingping Li,Yiwen Wang,Xiao Bian,Yuduo Song,Yuehan Yao,Yunfeng Zhang,Zhaoliang Pi,Zhaotang Chen,Zhenyu Xu,Zhibin Xiao,Zhipeng Luo,Ziming Liu,Haibin Ling,Qinghua Hu,Tao Peng,Jiayu Zheng,Xinyao Wang +47 more
- 01 Oct 2019
TL;DR: The goal is to advance the state-of-the-art detection algorithms and provide a comprehensive evaluation platform for them and demonstrate that there still remains a large room for improvement for object detection algorithms on drones.
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
- 08 Sep 2018
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.
•Posted Content
CFENet: An Accurate and Efficient Single-Shot Object Detector for Autonomous Driving
TL;DR: An effective yet efficient one-stage detector, which gained the second place in the Road Object Detection competition of CVPR2018 and introduces a novel Comprehensive Feature Enhancement(CFE) module into it.
42
VisDrone-MOT2019: The Vision Meets Drone Multiple Object Tracking Challenge Results
Longyin Wen,Yue Zhang,Liefeng Bo,Hailin Shi,Rui Zhu,Ajit Jadhav,Bing Dong,Brejesh Lall,Chang Liu,Chunhui Zhang,Dong Wang,Pengfei Zhu,Feng Ni,Filiz Bunyak,Gaoang Wang,Guizhong Liu,Guna Seetharaman,Guorong Li,Håkan Ardö,Haotian Zhang,Hongyang Yu,Huchuan Lu,Dawei Du,Jenq-Neng Hwang,Jiatong Mu,Jinrong Hu,Kannappan Palaniappan,Long Chen,Lu Ding,Martin Lauer,Mikael Nilsson,Noor M. Al-Shakarji,Prerana Mukherjee,Xiao Bian,Qingming Huang,Robert Laganiere,Shuhao Chen,Siyang Pan,Vinay Kaushik,Wei Shi,Wei Tian,Weiqiang Li,Xin Chen,Xinyu Zhang,Haibin Ling,Yanting Zhang,Yanyun Zhao,Yong Wang,Yuduo Song,Yuehan Yao,Zhaotang Chen,Zhenyu Xu,Zhibin Xiao,Zhihang Tong,Zhipeng Luo,Qinghua Hu,Zhuojin Sun,Jiayu Zheng,Tao Peng,Xinyao Wang +59 more
- 01 Oct 2019
TL;DR: The challenge results show that MOT on drones is far from being solved, and it is believed the challenge can largely boost the research and development in MOT on drone platforms.