Zobrazeno 1 - 10
of 17 297
pro vyhledávání: '"Lu, Yan"'
Powder bed fusion (PBF) is an emerging metal additive manufacturing (AM) technology that enables rapid fabrication of complex geometries. However, defects such as pores and balling may occur and lead to structural unconformities, thus compromising th
Externí odkaz:
http://arxiv.org/abs/2409.12785
Ultrawide-field fluorescein angiography (UWF-FA) facilitates diabetic retinopathy (DR) detection by providing a clear visualization of peripheral retinal lesions. However, the intravenous dye injection with potential risks hamper its application. We
Externí odkaz:
http://arxiv.org/abs/2408.10636
Low resource of parallel data is the key challenge of accent conversion(AC) problem in which both the pronunciation units and prosody pattern need to be converted. We propose a two-stage generative framework "convert-and-speak" in which the conversio
Externí odkaz:
http://arxiv.org/abs/2408.10096
Autor:
Chen, Zhao-Xian, Zhang, Yuan-hong, Sun, Xiao-Chen, Zhang, Ruo-Yang, Tang, Jiang-Shan, Yang, Xin, Zhu, Xue-Feng, Lu, Yan-Qing
Mathematically, topological invariants arise from the parallel transport of eigenstates on the energy bands, which, in physics, correspond to the adiabatic dynamical evolution of transient states. It determines the presence of boundary states, while
Externí odkaz:
http://arxiv.org/abs/2408.02984
Autor:
Xie, Jiarui, Safdar, Mutahar, Mircea, Andrei, Lu, Yan, Ko, Hyunwoong, Yang, Zhuo, Zhao, Yaoyao Fiona
Machine learning (ML)-based monitoring systems have been extensively developed to enhance the print quality of additive manufacturing (AM). In-situ and in-process data acquired using sensors can be used to train ML models that detect process anomalie
Externí odkaz:
http://arxiv.org/abs/2407.04031
Compositional Generalization (CG) embodies the ability to comprehend novel combinations of familiar concepts, representing a significant cognitive leap in human intellectual advancement. Despite its critical importance, the deep neural network (DNN)
Externí odkaz:
http://arxiv.org/abs/2405.11743
Autor:
Bi, Tianci, Zhang, Xiaoyi, Zhang, Zhizheng, Xie, Wenxuan, Lan, Cuiling, Lu, Yan, Zheng, Nanning
Significant progress has been made in scene text detection models since the rise of deep learning, but scene text layout analysis, which aims to group detected text instances as paragraphs, has not kept pace. Previous works either treated text detect
Externí odkaz:
http://arxiv.org/abs/2405.07481
Deep learning-based video compression is a challenging task, and many previous state-of-the-art learning-based video codecs use optical flows to exploit the temporal correlation between successive frames and then compress the residual error. Although
Externí odkaz:
http://arxiv.org/abs/2403.19158
The development of Large Vision-Language Models (LVLMs) is striving to catch up with the success of Large Language Models (LLMs), yet it faces more challenges to be resolved. Very recent works enable LVLMs to localize object-level visual contents and
Externí odkaz:
http://arxiv.org/abs/2403.12801
The emerging conditional coding-based neural video codec (NVC) shows superiority over commonly-used residual coding-based codec and the latest NVC already claims to outperform the best traditional codec. However, there still exist critical problems b
Externí odkaz:
http://arxiv.org/abs/2402.17414