Zobrazeno 1 - 10
of 4 459
pro vyhledávání: '"Liu, I"'
We simulate the dynamics of about 600 quantum vortices in a spinning-down cylindrical container using a Gross--Pitaevskii model. For the first time, we find convincing spatial-temporal evidence of avalanching behaviour resulting from vortex depinning
Externí odkaz:
http://arxiv.org/abs/2410.16878
Bimanual manipulation is critical to many robotics applications. In contrast to single-arm manipulation, bimanual manipulation tasks are challenging due to higher-dimensional action spaces. Prior works leverage large amounts of data and primitive act
Externí odkaz:
http://arxiv.org/abs/2407.04152
Autor:
Lin, Ci-Siang, Liu, I-Jieh, Chen, Min-Hung, Wang, Chien-Yi, Liu, Sifei, Wang, Yu-Chiang Frank
Referring Video Object Segmentation (RVOS) aims to segment the object referred to by the query sentence throughout the entire video. Most existing methods require end-to-end training with dense mask annotations, which could be computation-consuming a
Externí odkaz:
http://arxiv.org/abs/2406.12834
Utilizing multi-view inputs to synthesize novel-view images, Neural Radiance Fields (NeRF) have emerged as a popular research topic in 3D vision. In this work, we introduce a Generalizable Semantic Neural Radiance Field (GSNeRF), which uniquely takes
Externí odkaz:
http://arxiv.org/abs/2403.03608
Autor:
Liu, I-Ting Huaï-Ching
甲第24916号
人博第1090号
新制||人||255(附属図書館)
学位規則第4条第1項該当
Doctor of Human and Environmental Studies
Kyoto University
DGAM
人博第1090号
新制||人||255(附属図書館)
学位規則第4条第1項該当
Doctor of Human and Environmental Studies
Kyoto University
DGAM
Externí odkaz:
http://hdl.handle.net/2433/285850
We investigate the effect of self-interactions on the shape and oscillations of the solitonic core profile of condensed fuzzy dark matter systems without the backdrop of a halo, revealing universal features in terms of an appropriately scaled interac
Externí odkaz:
http://arxiv.org/abs/2312.14917
Federated Learning (FL) is an emerging paradigm that enables multiple users to collaboratively train a robust model in a privacy-preserving manner without sharing their private data. Most existing approaches of FL only consider traditional single-lab
Externí odkaz:
http://arxiv.org/abs/2312.07165
We employ the Gross--Pitaevskii theory to model a quantized vortex depinning from a small obstacle in a two-dimensional superfluid due to an imposed background superfluid flow. We find that, when the flow's velocity exceeds a critical value, the vort
Externí odkaz:
http://arxiv.org/abs/2311.06664
Autor:
Kim, Hyunsoo, Liu, I-Lin, Lin, Wen-Chen, Eo, Yun Suk, Ran, Sheng, Butch, Nicholas P., Paglione, Johnpierre
A fragile ordered state can be easily tuned by various external parameters. When the ordered state is suppressed to zero temperature, a quantum phase transition occurs, which is often marked by the appearance of unconventional superconductivity. Whil
Externí odkaz:
http://arxiv.org/abs/2307.00180
Some Learning from Demonstrations (LfD) methods handle small mismatches in the action spaces of the teacher and student. Here we address the case where the teacher's morphology is substantially different from that of the student. Our framework, Morph
Externí odkaz:
http://arxiv.org/abs/2304.03833