Zobrazeno 1 - 10
of 579
pro vyhledávání: '"Ren Hongwei"'
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
Autor:
Ma, Fei, Yuan, Yucheng, Xie, Yifan, Ren, Hongwei, Liu, Ivan, He, Ying, Ren, Fuji, Yu, Fei Richard, Ni, Shiguang
Affective computing stands at the forefront of artificial intelligence (AI), seeking to imbue machines with the ability to comprehend and respond to human emotions. Central to this field is emotion recognition, which endeavors to identify and interpr
Externí odkaz:
http://arxiv.org/abs/2407.03640
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, Pu Weiling, Wei Jing, Han Lifeng, Fu Zhifei, Su Yanfang, Chang Yanxu, Hu Limin, Fan Guanwei, Gao Xiumei
Publikováno v:
生物医学转化, Vol 2, Iss 3, Pp 62-73-82 (2021)
Objective Polygoni Multiflori Radix (PM, He-Shou-Wu), is used as a reputable tonifying traditional Chinese medicine for a long time. However, in recent years, the liver injury caused by PM or its preparations attracted wide attention. This research w
Externí odkaz:
https://doaj.org/article/38ba3a33d55e452d80e8690e13d4f96e
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
Event cameras exhibit remarkable attributes such as high dynamic range, asynchronicity, and low latency, making them highly suitable for vision tasks that involve high-speed motion in challenging lighting conditions. These cameras implicitly capture
Externí odkaz:
http://arxiv.org/abs/2403.19412
Power consumption has become the major concern in neural network accelerators for edge devices. The novel non-volatile-memory (NVM) based computing-in-memory (CIM) architecture has shown great potential for better energy efficiency. However, most of
Externí odkaz:
http://arxiv.org/abs/2402.13798
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