Zobrazeno 1 - 10
of 144
pro vyhledávání: '"Xu, Jialei"'
Depth estimation under adverse conditions remains a significant challenge. Recently, multi-spectral depth estimation, which integrates both visible light and thermal images, has shown promise in addressing this issue. However, existing algorithms str
Externí odkaz:
http://arxiv.org/abs/2411.03638
Autor:
Mao, Yifan, Li, Ming, Liu, Jian, Liu, Jiayang, Qin, Zihan, Chu, Chunxi, Xu, Jialei, Zhao, Wenbo, Jiang, Junjun, Liu, Xianming
Surround-view depth estimation is a crucial task aims to acquire the depth maps of the surrounding views. It has many applications in real world scenarios such as autonomous driving, AR/VR and 3D reconstruction, etc. However, given that most of the d
Externí odkaz:
http://arxiv.org/abs/2405.17102
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
Monocular depth estimation from RGB images plays a pivotal role in 3D vision. However, its accuracy can deteriorate in challenging environments such as nighttime or adverse weather conditions. While long-wave infrared cameras offer stable imaging in
Externí odkaz:
http://arxiv.org/abs/2402.11826
Depth estimation is a critical technology in autonomous driving, and multi-camera systems are often used to achieve a 360$^\circ$ perception. These 360$^\circ$ camera sets often have limited or low-quality overlap regions, making multi-view stereo me
Externí odkaz:
http://arxiv.org/abs/2402.11791
Autor:
Ignatov, Andrey, Malivenko, Grigory, Timofte, Radu, Treszczotko, Lukasz, Chang, Xin, Ksiazek, Piotr, Lopuszynski, Michal, Pioro, Maciej, Rudnicki, Rafal, Smyl, Maciej, Ma, Yujie, Li, Zhenyu, Chen, Zehui, Xu, Jialei, Liu, Xianming, Jiang, Junjun, Shi, XueChao, Xu, Difan, Li, Yanan, Wang, Xiaotao, Lei, Lei, Zhang, Ziyu, Wang, Yicheng, Huang, Zilong, Luo, Guozhong, Yu, Gang, Fu, Bin, Li, Jiaqi, Wang, Yiran, Huang, Zihao, Cao, Zhiguo, Conde, Marcos V., Sapozhnikov, Denis, Lee, Byeong Hyun, Park, Dongwon, Hong, Seongmin, Lee, Joonhee, Lee, Seunggyu, Chun, Se Young
Various depth estimation models are now widely used on many mobile and IoT devices for image segmentation, bokeh effect rendering, object tracking and many other mobile tasks. Thus, it is very crucial to have efficient and accurate depth estimation m
Externí odkaz:
http://arxiv.org/abs/2211.04470
Autor:
Xu, Jialei, Liu, Xianming, Bai, Yuanchao, Jiang, Junjun, Wang, Kaixuan, Chen, Xiaozhi, Ji, Xiangyang
Depth map estimation from images is an important task in robotic systems. Existing methods can be categorized into two groups including multi-view stereo and monocular depth estimation. The former requires cameras to have large overlapping areas and
Externí odkaz:
http://arxiv.org/abs/2210.02009
Monocular depth estimation is an essential task in the computer vision community. While tremendous successful methods have obtained excellent results, most of them are computationally expensive and not applicable for real-time on-device inference. In
Externí odkaz:
http://arxiv.org/abs/2209.00961
Depth estimation from a single image is an active research topic in computer vision. The most accurate approaches are based on fully supervised learning models, which rely on a large amount of dense and high-resolution (HR) ground-truth depth maps. H
Externí odkaz:
http://arxiv.org/abs/2109.11573
Publikováno v:
In Marine Pollution Bulletin July 2024 204
