Zobrazeno 1 - 10
of 19 783
pro vyhledávání: '"Yong Jun An"'
Autor:
Donna L. Bedard, Greta Van Slyke, Ulrich Nübel, Mary M. Bateson, Sue Brumfield, Yong Jun An, Eric D. Becraft, Jason M. Wood, Vera Thiel, David M. Ward
Publikováno v:
Microorganisms, Vol 11, Iss 12, p 2921 (2023)
Three strains of thermophilic green sulfur bacteria (GSB) are known; all are from microbial mats in hot springs in Rotorua, New Zealand (NZ) and belong to the species Chlorobaculum tepidum. Here, we describe diverse populations of GSB inhabiting Trav
Externí odkaz:
https://doaj.org/article/e99b01ffcec8409c86e4cc40f943e6c4
Autor:
Zhu, Haowei, Tang, Dehua, Liu, Ji, Lu, Mingjie, Zheng, Jintu, Peng, Jinzhang, Li, Dong, Wang, Yu, Jiang, Fan, Tian, Lu, Tiwari, Spandan, Sirasao, Ashish, Yong, Jun-Hai, Wang, Bin, Barsoum, Emad
Diffusion models have achieved remarkable progress in the field of image generation due to their outstanding capabilities. However, these models require substantial computing resources because of the multi-step denoising process during inference. Whi
Externí odkaz:
http://arxiv.org/abs/2410.16942
Autor:
Feng, Yifan, Huang, Jiangang, Du, Shaoyi, Ying, Shihui, Yong, Jun-Hai, Li, Yipeng, Ding, Guiguang, Ji, Rongrong, Gao, Yue
We introduce Hyper-YOLO, a new object detection method that integrates hypergraph computations to capture the complex high-order correlations among visual features. Traditional YOLO models, while powerful, have limitations in their neck designs that
Externí odkaz:
http://arxiv.org/abs/2408.04804
Quantum Zeno Effect on Genuine Tripartite Nonlocality and Entanglement in Quantum Dissipative System
As a precious global resource in quantum information, genuine tripartite nonlocality(GTN) can be quantified by violating Svetlichny inequality. However, there is still no analytical expression for the general three-qubit states due to the difficulty
Externí odkaz:
http://arxiv.org/abs/2405.19664
Hand manipulating objects is an important interaction motion in our daily activities. We faithfully reconstruct this motion with a single RGBD camera by a novel deep reinforcement learning method to leverage physics. Firstly, we propose object compen
Externí odkaz:
http://arxiv.org/abs/2405.02676
Autor:
Zhu, Haowei, Yang, Ling, Yong, Jun-Hai, Yin, Hongzhi, Jiang, Jiawei, Xiao, Meng, Zhang, Wentao, Wang, Bin
The scale and quality of a dataset significantly impact the performance of deep models. However, acquiring large-scale annotated datasets is both a costly and time-consuming endeavor. To address this challenge, dataset expansion technologies aim to a
Externí odkaz:
http://arxiv.org/abs/2403.06741
Lightweight creation of 3D digital avatars is a highly desirable but challenging task. With only sparse videos of a person under unknown illumination, we propose a method to create relightable and animatable neural avatars, which can be used to synth
Externí odkaz:
http://arxiv.org/abs/2312.12877
Autor:
Chen, Yong-Jun
In this article, we discover a fundamental excitation called electromagnon in the cuprate superconducting states. Doped holes render local inversion asymmetry which produces hidden Rashba spin-orbit coupling in copper-oxide plane. Rashba effect leads
Externí odkaz:
http://arxiv.org/abs/2307.14533
Publikováno v:
Journal of Knowledge Management, 2024, Vol. 28, Issue 6, pp. 1588-1608.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/JKM-01-2023-0019
Interactive image segmentation aims at obtaining a segmentation mask for an image using simple user annotations. During each round of interaction, the segmentation result from the previous round serves as feedback to guide the user's annotation and p
Externí odkaz:
http://arxiv.org/abs/2303.11880