Zobrazeno 1 - 10
of 17
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
The multi-volume set of LNCS books with volume numbers 15059 upto 15147 constitutes the refereed proceedings of the 18th European Conference on Computer Vision, ECCV 2024, held in Milan, Italy, during September 29–October 4, 2024. The 2387 papers p