Zobrazeno 1 - 10
of 32
pro vyhledávání: '"Lin Xiaopeng"'
Publikováno v:
High Temperature Materials and Processes, Vol 41, Iss 1, Pp 542-554 (2022)
Connecting small pieces of parts manufactured by Selective Laser Melting (SLM) and traditional formed parts into large structural component by using welding technology provides a high-efficiency and low-cost way for expanding additive manufacturing t
Externí odkaz:
https://doaj.org/article/d2fc361df5334901b13a46acb0c203d6
Publikováno v:
Cailiao Baohu, Vol 55, Iss 10, Pp 17-23 (2022)
In order to provide a simple and feasible method for the efficient and high-quality forming of large and complex nickel-based Inconel 625 alloy parts,Inconel 625 alloy samples were prepared by CMT-based wire and arc additive manufacturing method.The
Externí odkaz:
https://doaj.org/article/2851acdc55c44a2eb2f60c2b8e068c9e
Autor:
Huang, Yulong, Liu, Zunchang, Feng, Changchun, Lin, Xiaopeng, Ren, Hongwei, Fu, Haotian, Zhou, Yue, Xing, Hong, Cheng, Bojun
Recently, there is growing demand for effective and efficient long sequence modeling, with State Space Models (SSMs) proving to be effective for long sequence tasks. To further reduce energy consumption, SSMs can be adapted to Spiking Neural Networks
Externí odkaz:
http://arxiv.org/abs/2410.03530
Eye tracking is crucial for human-computer interaction in different domains. Conventional cameras encounter challenges such as power consumption and image quality during different eye movements, prompting the need for advanced solutions with ultra-fa
Externí odkaz:
http://arxiv.org/abs/2406.03177
Autor:
Ren, Hongwei, Zhou, Yue, Zhu, Jiadong, Fu, Haotian, Huang, Yulong, Lin, Xiaopeng, Fang, Yuetong, Ma, Fei, Yu, Hao, Cheng, Bojun
Event cameras, drawing inspiration from biological systems, efficiently detect changes in ambient light with low latency and high dynamic range while consuming minimal power. The most current approach to processing event data often involves convertin
Externí odkaz:
http://arxiv.org/abs/2405.06116
Autor:
Wang, Zuowen, Gao, Chang, Wu, Zongwei, Conde, Marcos V., Timofte, Radu, Liu, Shih-Chii, Chen, Qinyu, Zha, Zheng-jun, Zhai, Wei, Han, Han, Liao, Bohao, Wu, Yuliang, Wan, Zengyu, Wang, Zhong, Cao, Yang, Tan, Ganchao, Chen, Jinze, Pei, Yan Ru, Brüers, Sasskia, Crouzet, Sébastien, McLelland, Douglas, Coenen, Oliver, Zhang, Baoheng, Gao, Yizhao, Li, Jingyuan, So, Hayden Kwok-Hay, Bich, Philippe, Boretti, Chiara, Prono, Luciano, Lică, Mircea, Dinucu-Jianu, David, Grîu, Cătălin, Lin, Xiaopeng, Ren, Hongwei, Cheng, Bojun, Zhang, Xinan, Vial, Valentin, Yezzi, Anthony, Tsai, James
This survey reviews the AIS 2024 Event-Based Eye Tracking (EET) Challenge. The task of the challenge focuses on processing eye movement recorded with event cameras and predicting the pupil center of the eye. The challenge emphasizes efficient eye tra
Externí odkaz:
http://arxiv.org/abs/2404.11770
Autor:
Huang, Yulong, Lin, Xiaopeng, Ren, Hongwei, Fu, Haotian, Zhou, Yue, Liu, Zunchang, Pan, Biao, Cheng, Bojun
Spiking neural networks (SNNs) are promising brain-inspired energy-efficient models. Compared to conventional deep Artificial Neural Networks (ANNs), SNNs exhibit superior efficiency and capability to process temporal information. However, it remains
Externí odkaz:
http://arxiv.org/abs/2402.04663
Event cameras are bio-inspired sensors that respond to local changes in light intensity and feature low latency, high energy efficiency, and high dynamic range. Meanwhile, Spiking Neural Networks (SNNs) have gained significant attention due to their
Externí odkaz:
http://arxiv.org/abs/2310.07189
We present a novel underwater image enhancement method termed SCNet to improve the image quality meanwhile cope with the degradation diversity caused by the water. SCNet is based on normalization schemes across both spatial and channel dimensions wit
Externí odkaz:
http://arxiv.org/abs/2102.00676
Autor:
Schweidtmann, Artur M., Bongartz, Dominik, Grothe, Daniel, Kerkenhoff, Tim, Lin, Xiaopeng, Najman, Jaromil, Mitsos, Alexander
Publikováno v:
Math. Prog. Comp. 13, 553-581 (2021)
Gaussian processes~(Kriging) are interpolating data-driven models that are frequently applied in various disciplines. Often, Gaussian processes are trained on datasets and are subsequently embedded as surrogate models in optimization problems. These
Externí odkaz:
http://arxiv.org/abs/2005.10902