Zobrazeno 1 - 10
of 88 172
pro vyhledávání: '"Zhang, Jing"'
Autor:
Zhang, Jing
Publikováno v:
Comptes Rendus. Mathématique, Vol 359, Iss 8, Pp 1023-1046 (2021)
Let $Y$ be an open subset of a Stein space $X$. We show that if $Y$ is locally Stein and the complement $X-Y$ is a closed subspace of $X$, then $Y$ is Stein. We also discuss the applications of the theorem to open subsets $Y$ whose boundaries in $X$
Externí odkaz:
https://doaj.org/article/5a06f02dc5d44a3f94bd118f68896ba7
Semi-supervised learning (SSL) has shown considerable potential in medical image segmentation, primarily leveraging consistency regularization and pseudo-labeling. However, many SSL approaches only pay attention to low-level consistency and overlook
Externí odkaz:
http://arxiv.org/abs/2406.19649
Autor:
Zhu, Guanghao, Liu, Lin, Hu, Yuhao, Sun, Haixin, Liu, Fang, Du, Xiaohui, Hao, Ruqian, Liu, Juanxiu, Liu, Yong, Deng, Hao, Zhang, Jing
Micro-expressions (MEs) are subtle facial movements that occur spontaneously when people try to conceal the real emotions. Micro-expression recognition (MER) is crucial in many fields, including criminal analysis and psychotherapy. However, MER is ch
Externí odkaz:
http://arxiv.org/abs/2406.17538
Autor:
Ding, Henghui, Liu, Chang, Wei, Yunchao, Ravi, Nikhila, He, Shuting, Bai, Song, Torr, Philip, Miao, Deshui, Li, Xin, He, Zhenyu, Wang, Yaowei, Yang, Ming-Hsuan, Xu, Zhensong, Yao, Jiangtao, Wu, Chengjing, Liu, Ting, Liu, Luoqi, Liu, Xinyu, Zhang, Jing, Zhang, Kexin, Yang, Yuting, Jiao, Licheng, Yang, Shuyuan, Gao, Mingqi, Luo, Jingnan, Yang, Jinyu, Han, Jungong, Zheng, Feng, Cao, Bin, Zhang, Yisi, Lin, Xuanxu, He, Xingjian, Zhao, Bo, Liu, Jing, Pan, Feiyu, Fang, Hao, Lu, Xiankai
Pixel-level Video Understanding in the Wild Challenge (PVUW) focus on complex video understanding. In this CVPR 2024 workshop, we add two new tracks, Complex Video Object Segmentation Track based on MOSE dataset and Motion Expression guided Video Seg
Externí odkaz:
http://arxiv.org/abs/2406.17005
Autor:
Ma, Zeyao, Zhang, Bohan, Zhang, Jing, Yu, Jifan, Zhang, Xiaokang, Zhang, Xiaohan, Luo, Sijia, Wang, Xi, Tang, Jie
We introduce SpreadsheetBench, a challenging spreadsheet manipulation benchmark exclusively derived from real-world scenarios, designed to immerse current large language models (LLMs) in the actual workflow of spreadsheet users. Unlike existing bench
Externí odkaz:
http://arxiv.org/abs/2406.14991
Large-scale knowledge bases (KBs) like Freebase and Wikidata house millions of structured knowledge. Knowledge Base Question Answering (KBQA) provides a user-friendly way to access these valuable KBs via asking natural language questions. In order to
Externí odkaz:
http://arxiv.org/abs/2406.14763
Pose estimation aims to accurately identify anatomical keypoints in humans and animals using monocular images, which is crucial for various applications such as human-machine interaction, embodied AI, and autonomous driving. While current models show
Externí odkaz:
http://arxiv.org/abs/2406.14367
Autor:
GLM, Team, Zeng, Aohan, Xu, Bin, Wang, Bowen, Zhang, Chenhui, Yin, Da, Rojas, Diego, Feng, Guanyu, Zhao, Hanlin, Lai, Hanyu, Yu, Hao, Wang, Hongning, Sun, Jiadai, Zhang, Jiajie, Cheng, Jiale, Gui, Jiayi, Tang, Jie, Zhang, Jing, Li, Juanzi, Zhao, Lei, Wu, Lindong, Zhong, Lucen, Liu, Mingdao, Huang, Minlie, Zhang, Peng, Zheng, Qinkai, Lu, Rui, Duan, Shuaiqi, Zhang, Shudan, Cao, Shulin, Yang, Shuxun, Tam, Weng Lam, Zhao, Wenyi, Liu, Xiao, Xia, Xiao, Zhang, Xiaohan, Gu, Xiaotao, Lv, Xin, Liu, Xinghan, Liu, Xinyi, Yang, Xinyue, Song, Xixuan, Zhang, Xunkai, An, Yifan, Xu, Yifan, Niu, Yilin, Yang, Yuantao, Li, Yueyan, Bai, Yushi, Dong, Yuxiao, Qi, Zehan, Wang, Zhaoyu, Yang, Zhen, Du, Zhengxiao, Hou, Zhenyu, Wang, Zihan
We introduce ChatGLM, an evolving family of large language models that we have been developing over time. This report primarily focuses on the GLM-4 language series, which includes GLM-4, GLM-4-Air, and GLM-4-9B. They represent our most capable model
Externí odkaz:
http://arxiv.org/abs/2406.12793
Autor:
Hao, Xiaoshuai, Wei, Mengchuan, Yang, Yifan, Zhao, Haimei, Zhang, Hui, Zhou, Yi, Wang, Qiang, Li, Weiming, Kong, Lingdong, Zhang, Jing
Driving systems often rely on high-definition (HD) maps for precise environmental information, which is crucial for planning and navigation. While current HD map constructors perform well under ideal conditions, their resilience to real-world challen
Externí odkaz:
http://arxiv.org/abs/2406.12214
Autor:
Wang, Fengxiang, Wang, Hongzhen, Wang, Di, Guo, Zonghao, Zhong, Zhenyu, Lan, Long, Zhang, Jing, Liu, Zhiyuan, Sun, Maosong
Masked Image Modeling (MIM) has emerged as a pivotal approach for developing foundational visual models in the field of remote sensing (RS). However, current RS datasets are limited in volume and diversity, which significantly constrains the capacity
Externí odkaz:
http://arxiv.org/abs/2406.11933