1 code implementation • 24 Oct 2024 • Mingbo Hong, Shen Cheng, Haibin Huang, Haoqiang Fan, Shuaicheng Liu
In this paper, we introduce YOLA, a novel framework for object detection in low-light scenarios.
no code implementations • 29 Aug 2024 • Shaolei Yang, Shen Cheng, Mingbo Hong, Haoqiang Fan, Xing Wei, Shuaicheng Liu
We aim to discover the low-rank representation of the entire dataset and perform distillation efficiently.
no code implementations • 3 Jul 2024 • Zhanglei Yang, Haipeng Li, Mingbo Hong, Bing Zeng, Shuaicheng Liu
We present RS-Diffusion, the first Diffusion Models-based method for single-frame Rolling Shutter (RS) correction.
1 code implementation • CVPR 2022 • Mingbo Hong, Yuhang Lu, Nianjin Ye, Chunyu Lin, Qijun Zhao, Shuaicheng Liu
Estimating homography from an image pair is a fundamental problem in image alignment.
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.
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.