Zobrazeno 1 - 10
of 4 769
pro vyhledávání: '"Xiaoshuai An"'
Publikováno v:
Microsystems & Nanoengineering, Vol 8, Iss 1, Pp 1-8 (2022)
Abstract Airflow sensors are an essential component in a wide range of industrial, biomedical, and environmental applications. The development of compact devices with a fast response and wide measurement range capable of in situ airflow monitoring is
Externí odkaz:
https://doaj.org/article/5cb492287c464b3788ceee2691974f48
Multi-Image Super-Resolution (MISR) is a crucial yet challenging research task in the remote sensing community. In this paper, we address the challenging task of Multi-Image Super-Resolution in Remote Sensing (MISR-RS), aiming to generate a High-Reso
Externí odkaz:
http://arxiv.org/abs/2411.04706
Despite the significant progress in multimodal large language models (MLLMs), their high computational cost remains a barrier to real-world deployment. Inspired by the mixture of depths (MoDs) in natural language processing, we aim to address this li
Externí odkaz:
http://arxiv.org/abs/2410.13859
Autor:
Wang, Pei, Wu, Yanan, Wang, Zekun, Liu, Jiaheng, Song, Xiaoshuai, Peng, Zhongyuan, Deng, Ken, Zhang, Chenchen, Wang, Jiakai, Peng, Junran, Zhang, Ge, Guo, Hangyu, Zhang, Zhaoxiang, Su, Wenbo, Zheng, Bo
Large Language Models (LLMs) have displayed massive improvements in reasoning and decision-making skills and can hold natural conversations with users. Recently, many tool-use benchmark datasets have been proposed. However, existing datasets have the
Externí odkaz:
http://arxiv.org/abs/2410.11710
Following natural instructions is crucial for the effective application of Retrieval-Augmented Generation (RAG) systems. Despite recent advancements in Large Language Models (LLMs), research on assessing and improving instruction-following (IF) align
Externí odkaz:
http://arxiv.org/abs/2410.09584
The rapid progress of Deepfake technology has made face swapping highly realistic, raising concerns about the malicious use of fabricated facial content. Existing methods often struggle to generalize to unseen domains due to the diverse nature of fac
Externí odkaz:
http://arxiv.org/abs/2410.04372
Autor:
Yang, Kaiwen, Xu, Hao, Sun, Yunqing, Qian, Jiacheng, Zhou, Zihan, Zhang, Xiaoshuai, Liu, Erwu, Zhang, Lei, I, Chih-Lin
Blockchain technology holds promise for Web 3.0, but scalability remains a critical challenge. Here, we present a mathematical theory for a novel blockchain network topology based on fractal N-dimensional simplexes. This Hyper-simplex fractal network
Externí odkaz:
http://arxiv.org/abs/2410.00583
Autor:
Zhang, Xiaoshuai, Wang, Zhicheng, Zhou, Howard, Ghosh, Soham, Gnanapragasam, Danushen, Jampani, Varun, Su, Hao, Guibas, Leonidas
To advance the state of the art in the creation of 3D foundation models, this paper introduces the ConDense framework for 3D pre-training utilizing existing pre-trained 2D networks and large-scale multi-view datasets. We propose a novel 2D-3D joint t
Externí odkaz:
http://arxiv.org/abs/2408.17027
Autor:
Ma, Yiwei, Ji, Jiayi, Ye, Ke, Lin, Weihuang, Wang, Zhibin, Zheng, Yonghan, Zhou, Qiang, Sun, Xiaoshuai, Ji, Rongrong
Significant progress has been made in the field of Instruction-based Image Editing (IIE). However, evaluating these models poses a significant challenge. A crucial requirement in this field is the establishment of a comprehensive evaluation benchmark
Externí odkaz:
http://arxiv.org/abs/2408.14180
Autor:
Liu, Minghua, Zeng, Chong, Wei, Xinyue, Shi, Ruoxi, Chen, Linghao, Xu, Chao, Zhang, Mengqi, Wang, Zhaoning, Zhang, Xiaoshuai, Liu, Isabella, Wu, Hongzhi, Su, Hao
Open-world 3D reconstruction models have recently garnered significant attention. However, without sufficient 3D inductive bias, existing methods typically entail expensive training costs and struggle to extract high-quality 3D meshes. In this work,
Externí odkaz:
http://arxiv.org/abs/2408.10198