Zobrazeno 1 - 10
of 3 133
pro vyhledávání: '"Liu, Xinyi"'
Publikováno v:
International Conference on Mobile and Ubiquitous Multimedia 2024
Virtual reality (VR) environments have greatly expanded opportunities for immersive exploration, yet physically navigating these digital spaces remains a significant challenge. In this paper, we present the conceptual framework of NAVIS (Navigating V
Externí odkaz:
http://arxiv.org/abs/2411.05569
Autor:
Liu, Xiao, Qin, Bo, Liang, Dongzhu, Dong, Guang, Lai, Hanyu, Zhang, Hanchen, Zhao, Hanlin, Iong, Iat Long, Sun, Jiadai, Wang, Jiaqi, Gao, Junjie, Shan, Junjun, Liu, Kangning, Zhang, Shudan, Yao, Shuntian, Cheng, Siyi, Yao, Wentao, Zhao, Wenyi, Liu, Xinghan, Liu, Xinyi, Chen, Xinying, Yang, Xinyue, Yang, Yang, Xu, Yifan, Yang, Yu, Wang, Yujia, Xu, Yulin, Qi, Zehan, Dong, Yuxiao, Tang, Jie
We present AutoGLM, a new series in the ChatGLM family, designed to serve as foundation agents for autonomous control of digital devices through Graphical User Interfaces (GUIs). While foundation models excel at acquiring human knowledge, they often
Externí odkaz:
http://arxiv.org/abs/2411.00820
Autor:
Sun, Dachun, Wang, Ruijie, Li, Jinning, Han, Ruipeng, Liu, Xinyi, Lyu, You, Abdelzaher, Tarek
This paper addresses the problem of optimizing the allocation of labeling resources for semi-supervised belief representation learning in social networks. The objective is to strategically identify valuable messages on social media graphs that are wo
Externí odkaz:
http://arxiv.org/abs/2410.19176
Correspondence-based point cloud registration (PCR) plays a key role in robotics and computer vision. However, challenges like sensor noises, object occlusions, and descriptor limitations inevitably result in numerous outliers. RANSAC family is the m
Externí odkaz:
http://arxiv.org/abs/2410.15682
Many recent developments for robots to represent environments have focused on photorealistic reconstructions. This paper particularly focuses on generating sequences of images from the photorealistic Gaussian Splatting models, that match instructions
Externí odkaz:
http://arxiv.org/abs/2410.06014
Advances in generative models have created Artificial Intelligence-Generated Images (AIGIs) nearly indistinguishable from real photographs. Leveraging a large corpus of 30,824 AIGIs collected from Instagram and Twitter, and combining quantitative con
Externí odkaz:
http://arxiv.org/abs/2409.17484
Video-based physiology, exemplified by remote photoplethysmography (rPPG), extracts physiological signals such as pulse and respiration by analyzing subtle changes in video recordings. This non-contact, real-time monitoring method holds great potenti
Externí odkaz:
http://arxiv.org/abs/2409.09366
Autor:
Liu, Xiao, Zhang, Tianjie, Gu, Yu, Iong, Iat Long, Xu, Yifan, Song, Xixuan, Zhang, Shudan, Lai, Hanyu, Liu, Xinyi, Zhao, Hanlin, Sun, Jiadai, Yang, Xinyue, Yang, Yu, Qi, Zehan, Yao, Shuntian, Sun, Xueqiao, Cheng, Siyi, Zheng, Qinkai, Yu, Hao, Zhang, Hanchen, Hong, Wenyi, Ding, Ming, Pan, Lihang, Gu, Xiaotao, Zeng, Aohan, Du, Zhengxiao, Song, Chan Hee, Su, Yu, Dong, Yuxiao, Tang, Jie
Large Multimodal Models (LMMs) have ushered in a new era in artificial intelligence, merging capabilities in both language and vision to form highly capable Visual Foundation Agents. These agents are postulated to excel across a myriad of tasks, pote
Externí odkaz:
http://arxiv.org/abs/2408.06327
Predicting agents' behavior for vehicles and pedestrians is challenging due to a myriad of factors including the uncertainty attached to different intentions, inter-agent interactions, traffic (environment) rules, individual inclinations, and agent d
Externí odkaz:
http://arxiv.org/abs/2407.18451
Autor:
Zhang, Chong, Liu, Xinyi, Zhang, Zhongmou, Jin, Mingyu, Li, Lingyao, Wang, Zhenting, Hua, Wenyue, Shu, Dong, Zhu, Suiyuan, Jin, Xiaobo, Li, Sujian, Du, Mengnan, Zhang, Yongfeng
Can AI Agents simulate real-world trading environments to investigate the impact of external factors on stock trading activities (e.g., macroeconomics, policy changes, company fundamentals, and global events)? These factors, which frequently influenc
Externí odkaz:
http://arxiv.org/abs/2407.18957