Zobrazeno 1 - 10
of 396
pro vyhledávání: '"LI Chengyang"'
Image deblurring is an essential image preprocessing technique, aiming to recover clear and detailed images form blurry ones. However, existing algorithms often fail to effectively integrate multi-scale feature extraction with frequency enhancement,
Externí odkaz:
http://arxiv.org/abs/2411.06893
Autor:
Min, Chen, Si, Shubin, Wang, Xu, Xue, Hanzhang, Jiang, Weizhong, Liu, Yang, Wang, Juan, Zhu, Qingtian, Zhu, Qi, Luo, Lun, Kong, Fanjie, Miao, Jinyu, Cai, Xudong, An, Shuai, Li, Wei, Mei, Jilin, Sun, Tong, Zhai, Heng, Liu, Qifeng, Zhao, Fangzhou, Chen, Liang, Wang, Shuai, Shang, Erke, Shang, Linzhi, Zhao, Kunlong, Li, Fuyang, Fu, Hao, Jin, Lei, Zhao, Jian, Mao, Fangyuan, Xiao, Zhipeng, Li, Chengyang, Dai, Bin, Zhao, Dawei, Xiao, Liang, Nie, Yiming, Hu, Yu, Li, Xuelong
Research on autonomous driving in unstructured outdoor environments is less advanced than in structured urban settings due to challenges like environmental diversities and scene complexity. These environments-such as rural areas and rugged terrains-p
Externí odkaz:
http://arxiv.org/abs/2410.07701
Publikováno v:
Journal of Intelligent Systems, Vol 30, Iss 1, Pp 180-191 (2020)
The purpose of crowd counting is to estimate the number of pedestrians in crowd images. Crowd counting or density estimation is an extremely challenging task in computer vision, due to large scale variations and dense scene. Current methods solve the
Externí odkaz:
https://doaj.org/article/c13a28ff0ef4422b9d3c2c974cb5d7a9
Publikováno v:
He jishu, Vol 45, Iss 9, Pp 090501-090501 (2022)
BackgroundWith the continuous development of nuclear technology, radioactive material exploration requires higher and higher detection accuracy of aerial gamma energy spectrometer, meanwhile, the wavelet packet soft threshold noise reduction method h
Externí odkaz:
https://doaj.org/article/8861f715cd444ccf8ff9867316857884
Publikováno v:
Journal of Intelligent Systems, Vol 29, Iss 1, Pp 1587-1597 (2019)
Multiple surveillance cameras provide huge video resources that need further mining to collect traffic stream data such as license plate recognition (LPR). However, these surveillance cameras have limited spatial resolution, which may not always suff
Externí odkaz:
https://doaj.org/article/bbfc1a73bb0f4d2f8dea754c65298338
Autor:
Zhuang, Yixiang, Cheng, Baoping, Cheng, Yao, Jin, Yuntao, Liu, Renshuai, Li, Chengyang, Cheng, Xuan, Liao, Jing, Lin, Juncong
Speech-driven facial animation methods usually contain two main classes, 3D and 2D talking face, both of which attract considerable research attention in recent years. However, to the best of our knowledge, the research on 3D talking face does not go
Externí odkaz:
http://arxiv.org/abs/2404.12888
Autor:
Liu, Bonan, Zhao, Guoyang, Jiao, Jianhao, Cai, Guang, Li, Chengyang, Yin, Handi, Wang, Yuyang, Liu, Ming, Hui, Pan
Publikováno v:
2024 IEEE International Conference on Robotics and Automation (ICRA)
A Colored point cloud, as a simple and efficient 3D representation, has many advantages in various fields, including robotic navigation and scene reconstruction. This representation is now commonly used in 3D reconstruction tasks relying on cameras a
Externí odkaz:
http://arxiv.org/abs/2404.04693
Autor:
Han, Ruihua, Wang, Shuai, Wang, Shuaijun, Zhang, Zeqing, Chen, Jianjun, Lin, Shijie, Li, Chengyang, Xu, Chengzhong, Eldar, Yonina C., Hao, Qi, Pan, Jia
Navigating a nonholonomic robot in a cluttered environment requires extremely accurate perception and locomotion for collision avoidance. This paper presents NeuPAN: a real-time, highly-accurate, map-free, robot-agnostic, and environment-invariant ro
Externí odkaz:
http://arxiv.org/abs/2403.06828
Motion deblurring is one of the fundamental problems of computer vision and has received continuous attention. The variability in blur, both within and across images, imposes limitations on non-blind deblurring techniques that rely on estimating the
Externí odkaz:
http://arxiv.org/abs/2401.05055
Camouflage object detection (COD) poses a significant challenge due to the high resemblance between camouflaged objects and their surroundings. Although current deep learning methods have made significant progress in detecting camouflaged objects, ma
Externí odkaz:
http://arxiv.org/abs/2310.00702