1 code implementation • 15 Apr 2024 • Zheng Chen, Zongwei Wu, Eduard Zamfir, Kai Zhang, Yulun Zhang, Radu Timofte, Xiaokang Yang, Hongyuan Yu, Cheng Wan, Yuxin Hong, Zhijuan Huang, Yajun Zou, Yuan Huang, Jiamin Lin, Bingnan Han, Xianyu Guan, Yongsheng Yu, Daoan Zhang, Xuanwu Yin, Kunlong Zuo, Jinhua Hao, Kai Zhao, Kun Yuan, Ming Sun, Chao Zhou, Hongyu An, Xinfeng Zhang, Zhiyuan Song, Ziyue Dong, Qing Zhao, Xiaogang Xu, Pengxu Wei, Zhi-chao Dou, Gui-ling Wang, Chih-Chung Hsu, Chia-Ming Lee, Yi-Shiuan Chou, Cansu Korkmaz, A. Murat Tekalp, Yubin Wei, Xiaole Yan, Binren Li, Haonan Chen, Siqi Zhang, Sihan Chen, Amogh Joshi, Nikhil Akalwadi, Sampada Malagi, Palani Yashaswini, Chaitra Desai, Ramesh Ashok Tabib, Ujwala Patil, Uma Mudenagudi, Anjali Sarvaiya, Pooja Choksy, Jagrit Joshi, Shubh Kawa, Kishor Upla, Sushrut Patwardhan, Raghavendra Ramachandra, Sadat Hossain, Geongi Park, S. M. Nadim Uddin, Hao Xu, Yanhui Guo, Aman Urumbekov, Xingzhuo Yan, Wei Hao, Minghan Fu, Isaac Orais, Samuel Smith, Ying Liu, Wangwang Jia, Qisheng Xu, Kele Xu, Weijun Yuan, Zhan Li, Wenqin Kuang, Ruijin Guan, Ruting Deng, Zhao Zhang, Bo wang, Suiyi Zhao, Yan Luo, Yanyan Wei, Asif Hussain Khan, Christian Micheloni, Niki Martinel
This paper reviews the NTIRE 2024 challenge on image super-resolution ($\times$4), highlighting the solutions proposed and the outcomes obtained.
no code implementations • 10 Apr 2024 • Xingyu Song, Zhan Li, Shi Chen, Xin-Qiang Cai, Kazuyuki Demachi
(3) We achieve the same performance with only 10% of the original data for training as with all of the original data from the real-world dataset, and a better performance on In-the-wild videos, by employing our data augmentation techniques.
no code implementations • 24 Jan 2024 • Xingyu Song, Zhan Li, Shi Chen, Kazuyuki Demachi
Current datasets for action recognition tasks face limitations stemming from traditional collection and generation methods, including the constrained range of action classes, absence of multi-viewpoint recordings, limited diversity, poor video quality, and labor-intensive manually collection.
1 code implementation • 28 Dec 2023 • Zhan Li, Zhang Chen, Zhong Li, Yi Xu
Novel view synthesis of dynamic scenes has been an intriguing yet challenging problem.
no code implementations • 25 Sep 2023 • Dongxu Lei, Xiaotian Lin, Xinghu Yu, Zhan Li, Weichao Sun, Jianbin Qiu, Songlin Zhuang, Huijun Gao
In a multitude of industrial fields, a key objective entails optimising resource management whilst satisfying user requirements.
no code implementations • 15 Apr 2023 • Xidong Wang, Zhan Li, Zhen He
This brief aims at the issue of globally composite-learning-based neural fast finite-time (F-FnT) tracking control for a class of uncertain systems in strict-feedback form subject to nonlinearly periodic disturbances.
1 code implementation • Neural Computing and Applications 2022 • Xianlin Peng, Huayu Zhao, Xiaoyu Wang, Yongqin Zhang, Zhan Li, Qunxi Zhang, Jun Wang, Jinye Peng, Haida Liang
Our network also uses dual-domain partial convolution with a mask for computing on only valid points, whereas the mask is updated for the next layer.
no code implementations • 26 Jun 2021 • Xidong Wang, Zhan Li, Xinghu Yu, Zhen He
In this paper, a novel adaptive smooth disturbance observer-based fast finite-time adaptive backstepping control scheme is presented for the attitude tracking of the 3-DOF helicopter system subject to compound disturbances.
1 code implementation • 24 Jun 2021 • Qiqi Hou, Zhan Li, Carl S Marshall, Selvakumar Panneer, Feng Liu
Specifically, we formulate this fusion task as a super resolution problem that generates a high resolution rendering from a low resolution input (LRHS), assisted with the HRLS rendering.
no code implementations • 25 Aug 2020 • Xidong Wang, Zhan Li, Zhen He, Huijun Gao
This paper presents a novel adaptive fast smooth second-order sliding mode control for the attitude tracking of the three degree-of-freedom (3-DOF) helicopter system with lumped disturbances.
Systems and Control Systems and Control
no code implementations • 27 Apr 2020 • Hao Zhang, Zhan Li, Zhixing Ren
There are lots of sensors in computer rooms for the DC monitoring system, and they are inherently related.
no code implementations • 22 Aug 2019 • Xiqi Yang, Qingfeng Zhang, Zhan Li
The experimental results show that this algorithm's performance is better than both traditional machine learning methods such as SVM, ELM and even deep convolutional neural network.