Zobrazeno 1 - 10
of 2 894
pro vyhledávání: '"Kangle An"'
Autor:
Ying, Xuzhe, Li, Kangle
We study the interplay between repulsive interaction and superfluidity in flat band system. We consider spatially indirect excitons in the Lieb lattice bilayer as an example. We show that due to the presence of repulsive interaction, the excitons may
Externí odkaz:
http://arxiv.org/abs/2410.12254
To enhance resource utilization and address interference issues in ultra-dense networks with mobile edge computing (MEC), a resource utilization approach is first introduced, which integrates orthogonal frequency division multiple access (OFDMA) and
Externí odkaz:
http://arxiv.org/abs/2410.12186
Autor:
Litman, Yehonathan, Patashnik, Or, Deng, Kangle, Agrawal, Aviral, Zawar, Rushikesh, De la Torre, Fernando, Tulsiani, Shubham
Recent works in inverse rendering have shown promise in using multi-view images of an object to recover shape, albedo, and materials. However, the recovered components often fail to render accurately under new lighting conditions due to the intrinsic
Externí odkaz:
http://arxiv.org/abs/2409.15273
Projected wave functions offer a means for incorporating local correlation effects in gapless electronic phases of matter like metals. Although such wave functions can be readily specified formally, it is challenging to compute their associated physi
Externí odkaz:
http://arxiv.org/abs/2408.00858
With the increasing demand for wireless services, spectrum management agencies and service providers (SPs) are seeking more flexible mechanisms for spectrum sharing to accommodate this growth. Such mechanisms impact the market dynamics of competitive
Externí odkaz:
http://arxiv.org/abs/2407.20909
Autor:
Deng, Kangle, Omernick, Timothy, Weiss, Alexander, Ramanan, Deva, Zhu, Jun-Yan, Zhou, Tinghui, Agrawala, Maneesh
Manually creating textures for 3D meshes is time-consuming, even for expert visual content creators. We propose a fast approach for automatically texturing an input 3D mesh based on a user-provided text prompt. Importantly, our approach disentangles
Externí odkaz:
http://arxiv.org/abs/2402.13251
Recent advancements in robotics enable robots to accomplish complex assembly tasks. However, designing an assembly requires a non-trivial effort since a slight variation in the design could significantly affect the task feasibility. It is critical to
Externí odkaz:
http://arxiv.org/abs/2402.10711
Autor:
Guo, Hongjiang, Wang, Shengwen, Dang, Hao, Xiao, Kangle, Yang, Yaru, Liu, Wenpei, Liu, Tongtong, Wan, Yiying
The accurate segmentation of breast tumors is an important prerequisite for lesion detection, which has significant clinical value for breast tumor research. The mainstream deep learning-based methods have achieved a breakthrough. However, these high
Externí odkaz:
http://arxiv.org/abs/2311.11086
We study the problems of estimating the past and future evolutions of two diffusion processes that spread concurrently on a network. Specifically, given a known network $G=(V, \overrightarrow{E})$ and a (possibly noisy) snapshot $\mathcal{O}_n$ of it
Externí odkaz:
http://arxiv.org/abs/2310.19138
As a pivotal task in natural language processing, element extraction has gained significance in the legal domain. Extracting legal elements from judicial documents helps enhance interpretative and analytical capacities of legal cases, and thereby fac
Externí odkaz:
http://arxiv.org/abs/2310.01271