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of 9
pro vyhledávání: '"Hong, Mingbo"'
In this paper, we introduce YOLA, a novel framework for object detection in low-light scenarios. Unlike previous works, we propose to tackle this challenging problem from the perspective of feature learning. Specifically, we propose to learn illumina
Externí odkaz:
http://arxiv.org/abs/2410.18398
In this paper, we propose Neural Spectrum Decomposition, a generic decomposition framework for dataset distillation. Unlike previous methods, we consider the entire dataset as a high-dimensional observation that is low-rank across all dimensions. We
Externí odkaz:
http://arxiv.org/abs/2408.16236
We present RS-Diffusion, the first Diffusion Models-based method for single-frame Rolling Shutter (RS) correction. RS artifacts compromise visual quality of frames due to the row wise exposure of CMOS sensors. Most previous methods have focused on mu
Externí odkaz:
http://arxiv.org/abs/2407.02906
Estimating homography from an image pair is a fundamental problem in image alignment. Unsupervised learning methods have received increasing attention in this field due to their promising performance and label-free training. However, existing methods
Externí odkaz:
http://arxiv.org/abs/2205.03821
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. Most existin
Externí odkaz:
http://arxiv.org/abs/2107.01548
Autor:
Yu, Xuehui, Han, Zhenjun, Gong, Yuqi, Jiang, Nan, Zhao, Jian, Ye, Qixiang, Chen, Jie, Feng, Yuan, Zhang, Bin, Wang, Xiaodi, Xin, Ying, Liu, Jingwei, Mao, Mingyuan, Xu, Sheng, Zhang, Baochang, Han, Shumin, Gao, Cheng, Tang, Wei, Jin, Lizuo, Hong, Mingbo, Yang, Yuchao, Li, Shuiwang, Luo, Huan, Zhao, Qijun, Shi, Humphrey
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. The TinyPerson dataset was use
Externí odkaz:
http://arxiv.org/abs/2009.07506
Akademický článek
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Akademický článek
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Publikováno v:
ACM International Conference Proceeding Series; 12/8/2018, p99-104, 6p
