Zobrazeno 1 - 10
of 111
pro vyhledávání: '"Chen Xiaozhi"'
Multi-view depth estimation has achieved impressive performance over various benchmarks. However, almost all current multi-view systems rely on given ideal camera poses, which are unavailable in many real-world scenarios, such as autonomous driving.
Externí odkaz:
http://arxiv.org/abs/2403.07535
Autor:
Shen, Xuelun, Cai, Zhipeng, Yin, Wei, Müller, Matthias, Li, Zijun, Wang, Kaixuan, Chen, Xiaozhi, Wang, Cheng
Image matching is a fundamental computer vision problem. While learning-based methods achieve state-of-the-art performance on existing benchmarks, they generalize poorly to in-the-wild images. Such methods typically need to train separate models for
Externí odkaz:
http://arxiv.org/abs/2402.11095
Autor:
Cheng, Kai, Long, Xiaoxiao, Yin, Wei, Wang, Jin, Wu, Zhiqiang, Ma, Yuexin, Wang, Kaixuan, Chen, Xiaozhi, Chen, Xuejin
Multi-camera setups find widespread use across various applications, such as autonomous driving, as they greatly expand sensing capabilities. Despite the fast development of Neural radiance field (NeRF) techniques and their wide applications in both
Externí odkaz:
http://arxiv.org/abs/2311.16945
Autor:
Yin, Wei, Zhang, Chi, Chen, Hao, Cai, Zhipeng, Yu, Gang, Wang, Kaixuan, Chen, Xiaozhi, Shen, Chunhua
Reconstructing accurate 3D scenes from images is a long-standing vision task. Due to the ill-posedness of the single-image reconstruction problem, most well-established methods are built upon multi-view geometry. State-of-the-art (SOTA) monocular met
Externí odkaz:
http://arxiv.org/abs/2307.10984
Autor:
Li, Rui, Gong, Dong, Yin, Wei, Chen, Hao, Zhu, Yu, Wang, Kaixuan, Chen, Xiaozhi, Sun, Jinqiu, Zhang, Yanning
Multi-frame depth estimation generally achieves high accuracy relying on the multi-view geometric consistency. When applied in dynamic scenes, e.g., autonomous driving, this consistency is usually violated in the dynamic areas, leading to corrupted e
Externí odkaz:
http://arxiv.org/abs/2304.08993
Autor:
Spencer, Jaime, Qian, C. Stella, Trescakova, Michaela, Russell, Chris, Hadfield, Simon, Graf, Erich W., Adams, Wendy J., Schofield, Andrew J., Elder, James, Bowden, Richard, Anwar, Ali, Chen, Hao, Chen, Xiaozhi, Cheng, Kai, Dai, Yuchao, Hoa, Huynh Thai, Hossain, Sadat, Huang, Jianmian, Jing, Mohan, Li, Bo, Li, Chao, Li, Baojun, Liu, Zhiwen, Mattoccia, Stefano, Mercelis, Siegfried, Nam, Myungwoo, Poggi, Matteo, Qi, Xiaohua, Ren, Jiahui, Tang, Yang, Tosi, Fabio, Trinh, Linh, Uddin, S. M. Nadim, Umair, Khan Muhammad, Wang, Kaixuan, Wang, Yufei, Wang, Yixing, Xiang, Mochu, Xu, Guangkai, Yin, Wei, Yu, Jun, Zhang, Qi, Zhao, Chaoqiang
This paper discusses the results for the second edition of the Monocular Depth Estimation Challenge (MDEC). This edition was open to methods using any form of supervision, including fully-supervised, self-supervised, multi-task or proxy depth. The ch
Externí odkaz:
http://arxiv.org/abs/2304.07051
In the practical application of point cloud completion tasks, real data quality is usually much worse than the CAD datasets used for training. A small amount of noisy data will usually significantly impact the overall system's accuracy. In this paper
Externí odkaz:
http://arxiv.org/abs/2303.01804
Autor:
Chen, Xiaozhi1 (AUTHOR), Zhou, Jing2,3,4 (AUTHOR), Mou, Xiaoshui1 (AUTHOR), Yu, Xinmei1 (AUTHOR), Niu, Fang (AUTHOR), Wang, Ling2,3,4 (AUTHOR) Dr.wangling@fudan.edu.cn
Publikováno v:
Traditional Medicine & Modern Medicine. 2025, Vol. 8, p1-12. 12p.
Publikováno v:
RAL 2023
The image-based 3D object detection task expects that the predicted 3D bounding box has a ``tightness'' projection (also referred to as cuboid), which fits the object contour well on the image while still keeping the geometric attribute on the 3D spa
Externí odkaz:
http://arxiv.org/abs/2211.09302
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