Zobrazeno 1 - 10
of 612
pro vyhledávání: '"Ren, HongWei"'
Autor:
Ren, Hongwei, Ma, Fei, Lin, Xiaopeng, Fang, Yuetong, Huang, Hongxiang, Huang, Yulong, Zhou, Yue, Fu, Haotian, Yang, Ziyi, Yu, Fei Richard, Cheng, Bojun
Event cameras are biologically inspired sensors that emit events asynchronously with remarkable temporal resolution, garnering significant attention from both industry and academia. Mainstream methods favor frame and voxel representations, which reac
Externí odkaz:
http://arxiv.org/abs/2412.20803
Spiking Neural Networks (SNNs) are seen as an energy-efficient alternative to traditional Artificial Neural Networks (ANNs), but the performance gap remains a challenge. While this gap is narrowing through ANN-to-SNN conversion, substantial computati
Externí odkaz:
http://arxiv.org/abs/2412.16219
Autor:
Lin, Xiaopeng, Ren, Hongwei, Huang, Yulong, Liu, Zunchang, Zhou, Yue, Fu, Haotian, Pan, Biao, Cheng, Bojun
Conventional frame-based cameras inevitably produce blurry effects due to motion occurring during the exposure time. Event camera, a bio-inspired sensor offering continuous visual information could enhance the deblurring performance. Effectively util
Externí odkaz:
http://arxiv.org/abs/2412.11866
Autor:
Ma, Fei, Li, Yukan, Xie, Yifan, He, Ying, Zhang, Yi, Ren, Hongwei, Liu, Zhou, Yao, Wei, Ren, Fuji, Yu, Fei Richard, Ni, Shiguang
Human emotion synthesis is a crucial aspect of affective computing. It involves using computational methods to mimic and convey human emotions through various modalities, with the goal of enabling more natural and effective human-computer interaction
Externí odkaz:
http://arxiv.org/abs/2412.07116
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, 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