2 code implementations • 4 Jul 2021 • Mingbo Hong, Shuiwang Li, Yuchao Yang, Feiyu Zhu, Qijun Zhao, Li Lu
With the increasing demand for search and rescue, it is highly demanded to detect objects of interest in large-scale images captured by Unmanned Aerial Vehicles (UAVs), which is quite challenging due to extremely small scales of objects.
no code implementations • 19 Feb 2021 • Gongjian Zhou, Zeyu Xu, Yuchao Yang
Long-time coherent integration (LTCI) is one of the most important techniques to improve radar detection performance of weak targets.
no code implementations • 4 Nov 2020 • Yuan Cheng, Yuchao Yang, Hai-Bao Chen, Ngai Wong, Hao Yu
Real-time understanding in video is crucial in various AI applications such as autonomous driving.
1 code implementation • 16 Sep 2020 • Xuehui Yu, Zhenjun Han, Yuqi Gong, Nan Jiang, Jian Zhao, Qixiang Ye, Jie Chen, Yuan Feng, Bin Zhang, Xiaodi Wang, Ying Xin, Jingwei Liu, Mingyuan Mao, Sheng Xu, Baochang Zhang, Shumin Han, Cheng Gao, Wei Tang, Lizuo Jin, Mingbo Hong, Yuchao Yang, Shuiwang Li, Huan Luo, Qijun Zhao, Humphrey Shi
The 1st Tiny Object Detection (TOD) Challenge aims to encourage research in developing novel and accurate methods for tiny object detection in images which have wide views, with a current focus on tiny person detection.