Zobrazeno 1 - 10
of 5 277
pro vyhledávání: '"Ding, Lei"'
Autor:
Fan, Yue, Ding, Lei, Kuo, Ching-Chen, Jiang, Shan, Zhao, Yang, Guan, Xinze, Yang, Jie, Zhang, Yi, Wang, Xin Eric
Graphical User Interfaces (GUIs) are central to our interaction with digital devices. Recently, growing efforts have been made to build models for various GUI understanding tasks. However, these efforts largely overlook an important GUI-referring tas
Externí odkaz:
http://arxiv.org/abs/2406.19263
Many people use search engines to find online guidance to solve computer or mobile device problems. Users frequently encounter challenges in identifying effective solutions from search results, often wasting time trying ineffective solutions that see
Externí odkaz:
http://arxiv.org/abs/2404.08860
Autor:
Wang, Yao, Liu, Baolei, Ding, Lei, Chen, Chaohao, Shan, Xuchen, Wang, Dajing, Tian, Menghan, Song, Jiaqi, Zheng, Ze, Xu, Xiaoxue, Zhong, Xiaolan, Wang, Fan
Super-resolution fluorescence microscopy is of great interest in life science studies for visualizing subcellular structures at the nanometer scale. Among various kinds of super-resolution approaches, image scanning microscopy (ISM) offers a doubled
Externí odkaz:
http://arxiv.org/abs/2403.13436
Autor:
Vats, Vanshika, Nizam, Marzia Binta, Liu, Minghao, Wang, Ziyuan, Ho, Richard, Prasad, Mohnish Sai, Titterton, Vincent, Malreddy, Sai Venkat, Aggarwal, Riya, Xu, Yanwen, Ding, Lei, Mehta, Jay, Grinnell, Nathan, Liu, Li, Zhong, Sijia, Gandamani, Devanathan Nallur, Tang, Xinyi, Ghosalkar, Rohan, Shen, Celeste, Shen, Rachel, Hussain, Nafisa, Ravichandran, Kesav, Davis, James
In the rapidly evolving landscape of artificial intelligence (AI), the collaboration between human intelligence and AI systems, known as Human-AI (HAI) Teaming, has emerged as a cornerstone for advancing problem-solving and decision-making processes.
Externí odkaz:
http://arxiv.org/abs/2403.04931
We develop an advanced approach for extending Gaussian Differential Privacy (GDP) to general Riemannian manifolds. The concept of GDP stands out as a prominent privacy definition that strongly warrants extension to manifold settings, due to its centr
Externí odkaz:
http://arxiv.org/abs/2311.10101
Publikováno v:
Optics Letters, 49(11), 3058-3061 (2024)
Lensless imagers based on diffusers or encoding masks enable high-dimensional imaging from a single shot measurement and have been applied in various applications. However, to further extract image information such as edge detection, conventional pos
Externí odkaz:
http://arxiv.org/abs/2309.07198
Vision Foundation Models (VFMs) such as the Segment Anything Model (SAM) allow zero-shot or interactive segmentation of visual contents, thus they are quickly applied in a variety of visual scenes. However, their direct use in many Remote Sensing (RS
Externí odkaz:
http://arxiv.org/abs/2309.01429
Autor:
Ding, Lei, Colin, Claire V., Simonet, Virginie, Stock, Chris, Brubach, Jean-Blaise, Verseils, Marine, Roy, Pascale, Sakai, Victoria Garcia, Koza, Michael M., Piovano, Andrea, Ivanov, Alexandre, Rodriguez-Rivera, Jose A., de Brion, Sophie, Songvilay, Manila
In metal-organic-framework (MOF) perovskites, both magnetic and ferroelectric orderings can be readily realized by compounding spin and charge degrees of freedom. The hydrogen bonds that bridge the magnetic framework and organic molecules have long b
Externí odkaz:
http://arxiv.org/abs/2307.10746
Based on binary inquiries, we developed an algorithm to estimate population quantiles under Local Differential Privacy (LDP). By self-normalizing, our algorithm provides asymptotically normal estimation with valid inference, resulting in tight confid
Externí odkaz:
http://arxiv.org/abs/2306.10260