no code implementations • ECCV 2020 • Bichuan Guo, Jiangtao Wen, Yuxing Han
Light-field cameras capture sub-views from multiple perspectives simultaneously, with possibly reflectance variations that can be used to augment material recognition in remote sensing, autonomous driving, etc.
no code implementations • 13 Mar 2024 • Yuxing Han, Yunan Ding, Chen Ye Gan, Jiangtao Wen
Classifying videos into distinct categories, such as Sport and Music Video, is crucial for multimedia understanding and retrieval, especially when an immense volume of video content is being constantly generated.
1 code implementation • 9 Feb 2024 • Gongxi Zhu, Donghao Li, Hanlin Gu, Yuxing Han, Yuan YAO, Lixin Fan, Qiang Yang
Firstly, combining model information from multiple communication rounds (Multi-temporal) enhances the overall effectiveness of MIAs compared to utilizing model information from a single epoch.
no code implementations • 27 Dec 2023 • Hanlin Gu, Xinyuan Zhao, Gongxi Zhu, Yuxing Han, Yan Kang, Lixin Fan, Qiang Yang
Concerns about utility, privacy, and training efficiency in FL have garnered significant research attention.
1 code implementation • 14 Sep 2023 • Yuxing Han, Yunan Ding, Jiangtao Wen, Chen Ye Gan
Classifying videos into distinct categories, such as Sport and Music Video, is crucial for multimedia understanding and retrieval, especially in an age where an immense volume of video content is constantly being generated.
no code implementations • 31 Aug 2023 • Yang Liu, Xiaoyun Zhong, Shiyao Zhai, Zhicheng Du, Zhenyuan Gao, Qiming Huang, Canyang Zhang, Bin Jiang, Vijay Kumar Pandey, Sanyang Han, Runming Wang, Yuxing Han, Peiwu Qin
The vast majority of people who suffer unexpected cardiac arrest are performed cardiopulmonary resuscitation (CPR) by passersby in a desperate attempt to restore life, but endeavors turn out to be fruitless on account of disqualification.
no code implementations • 29 Apr 2023 • Yan Kang, Hanlin Gu, Xingxing Tang, Yuanqin He, Yuzhu Zhang, Jinnan He, Yuxing Han, Lixin Fan, Kai Chen, Qiang Yang
Different from existing CMOFL works focusing on utility, efficiency, fairness, and robustness, we consider optimizing privacy leakage along with utility loss and training cost, the three primary objectives of a TFL system.
1 code implementation • CVPR 2023 • Yubin Hu, Yuze He, Yanghao Li, Jisheng Li, Yuxing Han, Jiangtao Wen, Yong-Jin Liu
In this paper, we propose an altering resolution framework called AR-Seg for compressed videos to achieve efficient VSS.
1 code implementation • 18 Aug 2022 • Yuanqin He, Yan Kang, Xinyuan Zhao, Jiahuan Luo, Lixin Fan, Yuxing Han, Qiang Yang
In this work, we propose a Federated Hybrid Self-Supervised Learning framework, named FedHSSL, that utilizes cross-party views (i. e., dispersed features) of samples aligned among parties and local views (i. e., augmentation) of unaligned samples within each party to improve the representation learning capability of the VFL joint model.
no code implementations • 31 Jul 2022 • Muhammad Hassan, Haifei Guan, Aikaterini Melliou, Yuqi Wang, Qianhui Sun, Sen Zeng, Wen Liang, Yiwei Zhang, Ziheng Zhang, Qiuyue Hu, Yang Liu, Shunkai Shi, Lin An, Shuyue Ma, Ijaz Gul, Muhammad Akmal Rahee, Zhou You, Canyang Zhang, Vijay Kumar Pandey, Yuxing Han, Yongbing Zhang, Ming Xu, Qiming Huang, Jiefu Tan, Qi Xing, Peiwu Qin, Dongmei Yu
Neural networks have been rapidly expanding in recent years, with novel strategies and applications.
no code implementations • 9 Jan 2022 • Xinrong Zhang, Zihou Ren, Xi Li, Shuqi Liu, Yunlong Deng, Yadi Xiao, Yuxing Han, Jiangtao Wen
The global influential factor of the reference to the citing paper is the product of the local influential factor and the total influential factor of the citing paper.
1 code implementation • 13 Sep 2021 • Yuxing Han, Ziniu Wu, Peizhi Wu, Rong Zhu, Jingyi Yang, Liang Wei Tan, Kai Zeng, Gao Cong, Yanzhao Qin, Andreas Pfadler, Zhengping Qian, Jingren Zhou, Jiangneng Li, Bin Cui
Therefore, we propose a new metric P-Error to evaluate the performance of CardEst methods, which overcomes the limitation of Q-Error and is able to reflect the overall end-to-end performance of CardEst methods.
1 code implementation • 6 May 2021 • Ziniu Wu, Pei Yu, Peilun Yang, Rong Zhu, Yuxing Han, Yaliang Li, Defu Lian, Kai Zeng, Jingren Zhou
We propose to explore the transferabilities of the ML methods both across tasks and across DBs to tackle these fundamental drawbacks.
no code implementations • 10 Mar 2021 • Jisheng Li, Yuze He, Yubin Hu, Yuxing Han, Jiangtao Wen
The system utilizes conventional omnidirectional VR camera footage directly without the need for a depth map or segmentation mask, thereby significantly simplifying the overall complexity of the 6-DoF omnidirectional video composition.
1 code implementation • 29 Dec 2020 • Ziniu Wu, Amir Shaikhha, Rong Zhu, Kai Zeng, Yuxing Han, Jingren Zhou
Recently proposed deep learning based methods largely improve the estimation accuracy but their performance can be greatly affected by data and often difficult for system deployment.
no code implementations • 7 Dec 2020 • Rong Zhu, Andreas Pfadler, Ziniu Wu, Yuxing Han, Xiaoke Yang, Feng Ye, Zhenping Qian, Jingren Zhou, Bin Cui
To resolve this, we propose a new structure learning algorithm LEAST, which comprehensively fulfills our business requirements as it attains high accuracy, efficiency and scalability at the same time.
1 code implementation • 18 Nov 2020 • Rong Zhu, Ziniu Wu, Yuxing Han, Kai Zeng, Andreas Pfadler, Zhengping Qian, Jingren Zhou, Bin Cui
Despite decades of research, existing methods either over simplify the models only using independent factorization which leads to inaccurate estimates, or over complicate them by lossless conditional factorization without any independent assumption which results in slow probability computation.
no code implementations • 18 Nov 2020 • Ziniu Wu, Rong Zhu, Andreas Pfadler, Yuxing Han, Jiangneng Li, Zhengping Qian, Kai Zeng, Jingren Zhou
We introduce factorize sum split product networks (FSPNs), a new class of probabilistic graphical models (PGMs).
no code implementations • 7 Jul 2020 • Yanghao Li, Bichuan Guo, Jiangtao Wen, Zhen Xia, Shan Liu, Yuxing Han
Denoisers trained with synthetic data often fail to cope with the diversity of unknown noises, giving way to methods that can adapt to existing noise without knowing its ground truth.
no code implementations • 20 Apr 2020 • Lu Qin, Longbin Lai, Kongzhang Hao, Zhongxin Zhou, Yiwei Zhao, Yuxing Han, Xuemin Lin, Zhengping Qian, Jingren Zhou
Graph database has enjoyed a boom in the last decade, and graph queries accordingly gain a lot of attentions from both the academia and industry.
1 code implementation • NeurIPS 2019 • Bichuan Guo, Yuxing Han, Jiangtao Wen
In this paper we propose to use a denoising autoencoder (DAE) prior to simultaneously solve a linear inverse problem and estimate its noise parameter.