Zobrazeno 1 - 10
of 438
pro vyhledávání: '"Wu, Zhiliang"'
In this paper, we briefly introduce the solution developed by our team, HFUT-VUT, for the track of Micro-gesture Classification in the MiGA challenge at IJCAI 2024. The task of micro-gesture classification task involves recognizing the category of a
Externí odkaz:
http://arxiv.org/abs/2408.03097
Autor:
Liu, Pengyu, Wang, Fei, Li, Kun, Chen, Guoliang, Wei, Yanyan, Tang, Shengeng, Wu, Zhiliang, Guo, Dan
In this paper, we briefly introduce the solution developed by our team, HFUT-VUT, for the Micro-gesture Online Recognition track in the MiGA challenge at IJCAI 2024. The Micro-gesture Online Recognition task involves identifying the category and loca
Externí odkaz:
http://arxiv.org/abs/2407.04490
Autor:
Cheng, Chih-Hong, Doan, Nguyen Anh Vu, Balu, Balahari, Schwaiger, Franziska, Seferis, Emmanouil, Burton, Simon, Qamsane, Yassine, Shukla, Ankit, Yang, Yinchong, Wu, Zhiliang, Hapfelmeier, Andreas, Thon, Ingo
We propose a method for deploying a safety-critical machine-learning component into continuously evolving environments where an increased degree of automation in the engineering process is desired. We associate semantic tags with the safety case argu
Externí odkaz:
http://arxiv.org/abs/2209.11632
Deep learning-based video inpainting has yielded promising results and gained increasing attention from researchers. Generally, these methods usually assume that the corrupted region masks of each frame are known and easily obtained. However, the ann
Externí odkaz:
http://arxiv.org/abs/2208.06807
Autor:
Xuan, Hanyu, Xu, Yihong, Chen, Shuo, Wu, Zhiliang, Yang, Jian, Yan, Yan, Alameda-Pineda, Xavier
The recent success of audio-visual representation learning can be largely attributed to their pervasive property of audio-visual synchronization, which can be used as self-annotated supervision. As a state-of-the-art solution, Audio-Visual Instance D
Externí odkaz:
http://arxiv.org/abs/2204.12366
Autor:
Ma, Xudong, Guan, Dong-Xing, Zhang, Chaosheng, Yu, Tao, Li, Cheng, Wu, Zhiliang, Li, Bo, Geng, Wenda, Wu, Tiansheng, Yang, Zhongfang
Publikováno v:
In Journal of Hazardous Materials 5 October 2024 478
ICD-9 coding is a relevant clinical billing task, where unstructured texts with information about a patient's diagnosis and treatments are annotated with multiple ICD-9 codes. Automated ICD-9 coding is an active research field, where CNN- and RNN-bas
Externí odkaz:
http://arxiv.org/abs/2109.12026
Autor:
Yin, Yanshan, Yang, Rufan, Zhang, Wei, Wu, Zhiliang, Chen, Houtao, Xu, Yin, Qing, Mengxia, Liu, Liang, Ye, Yuchun
Publikováno v:
In Fuel 1 June 2024 365
Electronic Health Records often suffer from missing data, which poses a major problem in clinical practice and clinical studies. A novel approach for dealing with missing data are Generative Adversarial Nets (GANs), which have been generating huge re
Externí odkaz:
http://arxiv.org/abs/2108.01701
Recurrent neural network based solutions are increasingly being used in the analysis of longitudinal Electronic Health Record data. However, most works focus on prediction accuracy and neglect prediction uncertainty. We propose Deep Kernel Accelerate
Externí odkaz:
http://arxiv.org/abs/2107.12250