Zobrazeno 1 - 10
of 1 622
pro vyhledávání: '"BENOIT, R."'
Autor:
Kong, Lingdong, Xie, Shaoyuan, Hu, Hanjiang, Niu, Yaru, Ooi, Wei Tsang, Cottereau, Benoit R., Ng, Lai Xing, Ma, Yuexin, Zhang, Wenwei, Pan, Liang, Chen, Kai, Liu, Ziwei, Qiu, Weichao, Zhang, Wei, Cao, Xu, Lu, Hao, Chen, Ying-Cong, Kang, Caixin, Zhou, Xinning, Ying, Chengyang, Shang, Wentao, Wei, Xingxing, Dong, Yinpeng, Yang, Bo, Jiang, Shengyin, Ma, Zeliang, Ji, Dengyi, Li, Haiwen, Huang, Xingliang, Tian, Yu, Kou, Genghua, Jia, Fan, Liu, Yingfei, Wang, Tiancai, Li, Ying, Hao, Xiaoshuai, Yang, Yifan, Zhang, Hui, Wei, Mengchuan, Zhou, Yi, Zhao, Haimei, Zhang, Jing, Li, Jinke, He, Xiao, Cheng, Xiaoqiang, Zhang, Bingyang, Zhao, Lirong, Ding, Dianlei, Liu, Fangsheng, Yan, Yixiang, Wang, Hongming, Ye, Nanfei, Luo, Lun, Tian, Yubo, Zuo, Yiwei, Cao, Zhe, Ren, Yi, Li, Yunfan, Liu, Wenjie, Wu, Xun, Mao, Yifan, Li, Ming, Liu, Jian, Liu, Jiayang, Qin, Zihan, Chu, Cunxi, Xu, Jialei, Zhao, Wenbo, Jiang, Junjun, Liu, Xianming, Wang, Ziyan, Li, Chiwei, Li, Shilong, Yuan, Chendong, Yang, Songyue, Liu, Wentao, Chen, Peng, Zhou, Bin, Wang, Yubo, Zhang, Chi, Sun, Jianhang, Chen, Hai, Yang, Xiao, Wang, Lizhong, Fu, Dongyi, Lin, Yongchun, Yang, Huitong, Li, Haoang, Luo, Yadan, Cheng, Xianjing, Xu, Yong
In the realm of autonomous driving, robust perception under out-of-distribution conditions is paramount for the safe deployment of vehicles. Challenges such as adverse weather, sensor malfunctions, and environmental unpredictability can severely impa
Externí odkaz:
http://arxiv.org/abs/2405.08816
Event-based semantic segmentation (ESS) is a fundamental yet challenging task for event camera sensing. The difficulties in interpreting and annotating event data limit its scalability. While domain adaptation from images to event data can help to mi
Externí odkaz:
http://arxiv.org/abs/2405.05259
Autor:
Kong, Lingdong, Xie, Shaoyuan, Hu, Hanjiang, Ng, Lai Xing, Cottereau, Benoit R., Ooi, Wei Tsang
Depth estimation from monocular images is pivotal for real-world visual perception systems. While current learning-based depth estimation models train and test on meticulously curated data, they often overlook out-of-distribution (OoD) situations. Ye
Externí odkaz:
http://arxiv.org/abs/2310.15171
Autor:
Kong, Lingdong, Niu, Yaru, Xie, Shaoyuan, Hu, Hanjiang, Ng, Lai Xing, Cottereau, Benoit R., Zhang, Liangjun, Wang, Hesheng, Ooi, Wei Tsang, Zhu, Ruijie, Song, Ziyang, Liu, Li, Zhang, Tianzhu, Yu, Jun, Jing, Mohan, Li, Pengwei, Qi, Xiaohua, Jin, Cheng, Chen, Yingfeng, Hou, Jie, Zhang, Jie, Kan, Zhen, Ling, Qiang, Peng, Liang, Li, Minglei, Xu, Di, Yang, Changpeng, Yao, Yuanqi, Wu, Gang, Kuai, Jian, Liu, Xianming, Jiang, Junjun, Huang, Jiamian, Li, Baojun, Chen, Jiale, Zhang, Shuang, Ao, Sun, Li, Zhenyu, Chen, Runze, Luo, Haiyong, Zhao, Fang, Yu, Jingze
Accurate depth estimation under out-of-distribution (OoD) scenarios, such as adverse weather conditions, sensor failure, and noise contamination, is desirable for safety-critical applications. Existing depth estimation systems, however, suffer inevit
Externí odkaz:
http://arxiv.org/abs/2307.15061
Deep neural networks have surpassed human performance in key visual challenges such as object recognition, but require a large amount of energy, computation, and memory. In contrast, spiking neural networks (SNNs) have the potential to improve both t
Externí odkaz:
http://arxiv.org/abs/2212.00081
Deep neural networks have surpassed human performance in key visual challenges such as object recognition, but require a large amount of energy, computation, and memory. In contrast, spiking neural networks (SNNs) have the potential to improve both t
Externí odkaz:
http://arxiv.org/abs/2205.10338
Depth estimation is an important computer vision task, useful in particular for navigation in autonomous vehicles, or for object manipulation in robotics. Here we solved it using an end-to-end neuromorphic approach, combining two event-based cameras
Externí odkaz:
http://arxiv.org/abs/2109.13751
Autor:
Jade Guénot, Yves Trotter, Angélique Delaval, Robin Baurès, Vincent Soler, Benoit R. Cottereau
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-11 (2023)
Abstract Aging impacts human observer’s performance in a wide range of visual tasks and notably in motion discrimination. Despite numerous studies, we still poorly understand how optic flow processing is impacted in healthy older adults. Here, we e
Externí odkaz:
https://doaj.org/article/9b0f80092bd94c839204b45084b135a0
Autor:
Giulio Contemori, Marcello Maniglia, Jade Guénot, Vincent Soler, Marta Cherubini, Benoit R. Cottereau, Yves Trotter
Publikováno v:
Frontiers in Aging Neuroscience, Vol 16 (2024)
Perceptual learning (PL) has shown promise in enhancing residual visual functions in patients with age-related macular degeneration (MD), however it requires prolonged training and evidence of generalization to untrained visual functions is limited.
Externí odkaz:
https://doaj.org/article/23d1f81fdb93499ba70db32e596cf8e0
Autor:
Alejandro Sola-García, María Ángeles Cáliz-Molina, Isabel Espadas, Michael Petr, Concepción Panadero-Morón, Daniel González-Morán, María Eugenia Martín-Vázquez, Álvaro Jesús Narbona-Pérez, Livia López-Noriega, Guillermo Martínez-Corrales, Raúl López-Fernández-Sobrino, Lina M. Carmona-Marin, Enrique Martínez-Force, Oscar Yanes, Maria Vinaixa, Daniel López-López, José Carlos Reyes, Joaquín Dopazo, Franz Martín, Benoit R. Gauthier, Morten Scheibye-Knudsen, Vivian Capilla-González, Alejandro Martín-Montalvo
Publikováno v:
Communications Biology, Vol 6, Iss 1, Pp 1-19 (2023)
A multiomic approach shows that long-term exposure to the Acly inhibitor SB-204990 modulates molecular mechanisms associated with aging.
Externí odkaz:
https://doaj.org/article/9deabdbc43f647488b325be7381dd75c