Zobrazeno 1 - 10
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pro vyhledávání: '"Liu, Zhaoyi"'
Understanding the nature of brittle failure in ferroelectric materials is essential, but difficult due to the complex interaction between mechanical and electrical concentrated fields near the crack tip. In this work, an extended phase-field model in
Externí odkaz:
http://arxiv.org/abs/2405.12826
Autor:
Cheng, Zhiyuan, Liu, Zhaoyi, Guo, Tengda, Feng, Shiwei, Liu, Dongfang, Tang, Mingjie, Zhang, Xiangyu
Pixel-wise regression tasks (e.g., monocular depth estimation (MDE) and optical flow estimation (OFE)) have been widely involved in our daily life in applications like autonomous driving, augmented reality and video composition. Although certain appl
Externí odkaz:
http://arxiv.org/abs/2404.00924
Autor:
López-Chilet, Álvaro, Liu, Zhaoyi, Gómez, Jon Ander, Alvarez, Carlos, Ortiz, Marivi Alonso, Mesa, Andres Orejuela, Newton, David, Wolf-Monheim, Friedrich, Michiels, Sam, Hughes, Danny
This paper proposes a method for Acoustic Constrained Segmentation (ACS) in audio recordings of vehicles driven through a production test track, delimiting the boundaries of surface types in the track. ACS is a variant of classical acoustic segmentat
Externí odkaz:
http://arxiv.org/abs/2402.18204
Transformer-based models have recently made significant achievements in the application of end-to-end (E2E) automatic speech recognition (ASR). It is possible to deploy the E2E ASR system on smart devices with the help of Transformer-based models. Wh
Externí odkaz:
http://arxiv.org/abs/2303.13072
Autor:
Liu, Zhaoyi
This paper explores Gotland’s sustainable tourism mobility from a qualitative perspective in order to better understand how tourists choose their mode of transport in a sustainable way. Tourism transport accounts for the majority of tourism-related
Externí odkaz:
http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-531466
Fine tuning self supervised pretrained models using pseudo labels can effectively improve speech recognition performance. But, low quality pseudo labels can misguide decision boundaries and degrade performance. We propose a simple yet effective strat
Externí odkaz:
http://arxiv.org/abs/2210.16318
Sequential audio event tagging can provide not only the type information of audio events, but also the order information between events and the number of events that occur in an audio clip. Most previous works on audio event sequence analysis rely on
Externí odkaz:
http://arxiv.org/abs/2203.11573
Autor:
Qin, Haoyue, Huang, Zhe, Yan, Huan, Song, Lianxi, Zeng, Liang, Xu, Qinqin, Guo, Wenhuan, Lin, Shaoding, Jiang, Wenjuan, Wang, Zhan, Deng, Li, Zhang, Xing, Tong, Fan, Zhang, Ruiguang, Liu, Zhaoyi, Zhang, Lin, Dong, Xiaorong, Yang, Nong, Zhang, Yongchang
Publikováno v:
In iScience 18 October 2024 27(10)
Publikováno v:
In Journal of Materials Research and Technology September-October 2024 32:3523-3536
Autor:
Li, Jiamin1 (AUTHOR), Liu, Zhaoyi1 (AUTHOR), Liu, Jinjin1 (AUTHOR), Liu, Xue2 (AUTHOR), Luo, Yang3 (AUTHOR), Liang, Jiajie2 (AUTHOR), Zhang, Zhenjie1,4 (AUTHOR) zhangzhenjie@nankai.edu.cn
Publikováno v:
Advanced Science. 5/28/2024, Vol. 11 Issue 20, p1-12. 12p.