Zobrazeno 1 - 10
of 5 346
pro vyhledávání: '"ZHU, Qian"'
Autor:
Xu, Qisheng, Sun, Yulin, Su, Yi, Zhu, Qian, Tan, Xiaoyi, Wen, Hongyu, Gao, Zijian, Xu, Kele, Dou, Yong, Feng, Dawei
Deep learning, with its robust aotomatic feature extraction capabilities, has demonstrated significant success in audio signal processing. Typically, these methods rely on static, pre-collected large-scale datasets for training, performing well on a
Externí odkaz:
http://arxiv.org/abs/2412.11907
Artificial neural network based Pedestrian Attribute Recognition (PAR) has been widely studied in recent years, despite many progresses, however, the energy consumption is still high. To address this issue, in this paper, we propose a Spiking Neural
Externí odkaz:
http://arxiv.org/abs/2410.07857
Various Earth anomalies have destroyed the stable, balanced state, resulting in fatalities and serious destruction of property. With the advantages of large-scale and precise observation, high-resolution remote sensing images have been widely used fo
Externí odkaz:
http://arxiv.org/abs/2409.05679
Pedestrian Attribute Recognition (PAR) is one of the indispensable tasks in human-centered research. However, existing datasets neglect different domains (e.g., environments, times, populations, and data sources), only conducting simple random splits
Externí odkaz:
http://arxiv.org/abs/2408.09720
Publikováno v:
IEEE VIS 2024
Composite visualization represents a widely embraced design that combines multiple visual representations to create an integrated view. However, the traditional approach of creating composite visualizations in immersive environments typically occurs
Externí odkaz:
http://arxiv.org/abs/2408.02240
Autor:
King, Ella M., Engel, Megan C., Martin, Caroline, Sunol, Alp M., Zhu, Qian-Ze, Schoenholz, Sam S., Manoharan, Vinothan N., Brenner, Michael P.
Accurate interaction potentials between microscopic components such as colloidal particles or cells are crucial to understanding a range of processes, including colloidal crystallization, bacterial colony formation, and cancer metastasis. Even in sys
Externí odkaz:
http://arxiv.org/abs/2406.01522
Autor:
Zhu, Qian, Wang, Dakuo, Ma, Shuai, Wang, April Yi, Chen, Zixin, Khurana, Udayan, Ma, Xiaojuan
As AI technology continues to advance, the importance of human-AI collaboration becomes increasingly evident, with numerous studies exploring its potential in various fields. One vital field is data science, including feature engineering (FE), where
Externí odkaz:
http://arxiv.org/abs/2405.14107
Publikováno v:
JMIR Medical Informatics, Vol 8, Iss 10, p e18395 (2020)
BackgroundAlthough many efforts have been made to develop comprehensive disease resources that capture rare disease information for the purpose of clinical decision making and education, there is no standardized protocol for defining and harmonizing
Externí odkaz:
https://doaj.org/article/84ee7b21ab054cdcb0797dbe21f5acb2
Autor:
Wang, Xiao, Zhu, Qian, Jin, Jiandong, Zhu, Jun, Wang, Futian, Jiang, Bo, Wang, Yaowei, Tian, Yonghong
Existing pedestrian attribute recognition (PAR) algorithms are mainly developed based on a static image, however, the performance is unreliable in challenging scenarios, such as heavy occlusion, motion blur, etc. In this work, we propose to understan
Externí odkaz:
http://arxiv.org/abs/2404.17929
Publikováno v:
CHI 2024 Proceedings of the CHI Conference on Human Factors in Computing Systems
Situated visualization blends data into the real world to fulfill individuals' contextual information needs. However, interacting with situated visualization in public environments faces challenges posed by user acceptance and contextual constraints.
Externí odkaz:
http://arxiv.org/abs/2402.14251