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of 41
pro vyhledávání: '"Ye, Yaozu"'
Autor:
Yin, Xiaoting, Shi, Hao, Chen, Jiaan, Wang, Ze, Ye, Yaozu, Ni, Huajian, Yang, Kailun, Wang, Kaiwei
Human pose estimation is a fundamental and appealing task in computer vision. Traditional frame-based cameras and videos are commonly applied, yet, they become less reliable in scenarios under high dynamic range or heavy motion blur. In contrast, eve
Externí odkaz:
http://arxiv.org/abs/2311.04591
Autor:
Yi, Zhonghua, Shi, Hao, Yang, Kailun, Jiang, Qi, Ye, Yaozu, Wang, Ze, Ni, Huajian, Wang, Kaiwei
Key-point-based scene understanding is fundamental for autonomous driving applications. At the same time, optical flow plays an important role in many vision tasks. However, due to the implicit bias of equal attention on all points, classic data-driv
Externí odkaz:
http://arxiv.org/abs/2308.07104
Autor:
Ye, Yaozu, Shi, Hao, Yang, Kailun, Wang, Ze, Yin, Xiaoting, Lin, Yining, Liu, Mao, Wang, Yaonan, Wang, Kaiwei
Optical flow estimation is a fundamental task in the field of autonomous driving. Event cameras are capable of responding to log-brightness changes in microseconds. Its characteristic of producing responses only to the changing region is particularly
Externí odkaz:
http://arxiv.org/abs/2307.05033
Autor:
Shi, Hao, Li, Yu, Yang, Kailun, Zhang, Jiaming, Peng, Kunyu, Roitberg, Alina, Ye, Yaozu, Ni, Huajian, Wang, Kaiwei, Stiefelhagen, Rainer
This paper raises the new task of Fisheye Semantic Completion (FSC), where dense texture, structure, and semantics of a fisheye image are inferred even beyond the sensor field-of-view (FoV). Fisheye cameras have larger FoV than ordinary pinhole camer
Externí odkaz:
http://arxiv.org/abs/2303.13842
Human Pose Estimation (HPE) based on RGB images has experienced a rapid development benefiting from deep learning. However, event-based HPE has not been fully studied, which remains great potential for applications in extreme scenes and efficiency-cr
Externí odkaz:
http://arxiv.org/abs/2206.04511
Autor:
Shi, Hao, Zhou, Yifan, Yang, Kailun, Yin, Xiaoting, Wang, Ze, Ye, Yaozu, Yin, Zhe, Meng, Shi, Li, Peng, Wang, Kaiwei
Optical flow estimation is a basic task in self-driving and robotics systems, which enables to temporally interpret traffic scenes. Autonomous vehicles clearly benefit from the ultra-wide Field of View (FoV) offered by 360{\deg} panoramic sensors. Ho
Externí odkaz:
http://arxiv.org/abs/2202.13388
Autor:
Sun, Lei, Sakaridis, Christos, Liang, Jingyun, Jiang, Qi, Yang, Kailun, Sun, Peng, Ye, Yaozu, Wang, Kaiwei, Van Gool, Luc
Traditional frame-based cameras inevitably suffer from motion blur due to long exposure times. As a kind of bio-inspired camera, the event camera records the intensity changes in an asynchronous way with high temporal resolution, providing valid imag
Externí odkaz:
http://arxiv.org/abs/2112.00167
Semantic segmentation is a critical method in the field of autonomous driving. When performing semantic image segmentation, a wider field of view (FoV) helps to obtain more information about the surrounding environment, making automatic driving safer
Externí odkaz:
http://arxiv.org/abs/2002.03736
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