Zobrazeno 1 - 10
of 699
pro vyhledávání: '"Wang, YuKai"'
Autor:
Zhang, Shaojie, Wang, Yinghui, Liu, Peixuan, Wang, Yukai, Huang, Liangyi, Wang, Mingfeng, Atadjanov, Ibragim.
This paper presents, for the first time, an image enhancement methodology designed to enhance the clarity of small intestinal villi in Wireless Capsule Endoscopy (WCE) images. This method first separates the low-frequency and high-frequency component
Externí odkaz:
http://arxiv.org/abs/2402.15977
Autor:
Zhang, Shaojie, Wang, Yinghui, Ma, Jiaxing, Li, Wei, Yang, Jinlong, Yan, Tao, Wang, Yukai, Huang, Liangyi, Wang, Mingfeng, Atadjanov, Ibragim R.
In Visual SLAM, achieving accurate feature matching consumes a significant amount of time, severely impacting the real-time performance of the system. This paper proposes an accelerated method for Visual SLAM by integrating GMS (Grid-based Motion Sta
Externí odkaz:
http://arxiv.org/abs/2402.14345
Autor:
Zhang, Shaojie, Wang, Yinghui, Ma, Jiaxing, Li, Wei, Yang, Jinlong, Yan, Tao, Wang, Yukai, Huang, Liangyi, Wang, Mingfeng, Atadjanov, Ibragim R.
Feature matching is a fundamental and crucial process in visual SLAM, and precision has always been a challenging issue in feature matching. In this paper, based on a multi-level fine matching strategy, we propose a new feature matching method called
Externí odkaz:
http://arxiv.org/abs/2402.13488
Autor:
Zhang, Shaojie, Wang, Yinghui, Nan, Bin, Li, Wei, Yang, Jinlong, Yan, Tao, Wang, Yukai, Huang, Liangyi, Wang, Mingfeng, Atadjanov, Ibragim R.
To address the issue of increased triangulation uncertainty caused by selecting views with small camera baselines in Structure from Motion (SFM) view selection, this paper proposes a robust error-resistant view selection method. The method utilizes a
Externí odkaz:
http://arxiv.org/abs/2402.11431
Autor:
Zhang, Shaojie, Wang, Yinghui, Nan, Bin, Li, Wei, Yang, Jinlong, Yan, Tao, Wang, Yukai, Huang, Liangyi, Wang, Mingfeng, Atadjanov, Ibragim R.
To address the issue of feature descriptors being ineffective in representing grayscale feature information when images undergo high affine transformations, leading to a rapid decline in feature matching accuracy, this paper proposes a region feature
Externí odkaz:
http://arxiv.org/abs/2402.09724
Autor:
Zhang, Shaojie, Wang, Yinghui, Liu, Peixuan, Li, Wei, Yang, Jinlong, Yan, Tao, Wang, Yukai, Huang, Liangyi, Wang, Mingfeng, Atadjanov, Ibragim R.
The images captured by Wireless Capsule Endoscopy (WCE) always exhibit specular reflections, and removing highlights while preserving the color and texture in the region remains a challenge. To address this issue, this paper proposes a highlight remo
Externí odkaz:
http://arxiv.org/abs/2402.07083
Face forgery detection plays an important role in personal privacy and social security. With the development of adversarial generative models, high-quality forgery images become more and more indistinguishable from real to humans. Existing methods al
Externí odkaz:
http://arxiv.org/abs/2212.14629
In recent years, with the rapid development of face editing and generation, more and more fake videos are circulating on social media, which has caused extreme public concerns. Existing face forgery detection methods based on frequency domain find th
Externí odkaz:
http://arxiv.org/abs/2207.01906
Autor:
Chen, Ying, Wang, Yukai, Hidalgo Delgado, David, Yu, Huaxu, Zhao, Tingting, Fang, Mingliang, Huan, Tao
Publikováno v:
In Environment International November 2024 193