Zobrazeno 1 - 10
of 45
pro vyhledávání: '"Qiu, Shi"'
Autor:
Wang, Qiu Shi
We classify superpotentials for the Hamiltonian system corresponding to the cohomogeneity one gradient Ricci soliton equations. Aside from recovering known examples of superpotentials for steady solitons, we find a new superpotential on a specific ca
Externí odkaz:
http://arxiv.org/abs/2404.02050
Autor:
Zhao, Tianhao, Chen, Yongcan, Wu, Yu, Liu, Tianyang, Du, Bo, Xiao, Peilun, Qiu, Shi, Yang, Hongda, Li, Guozhen, Yang, Yi, Lin, Yutian
Semantic segmentation in bird's eye view (BEV) plays a crucial role in autonomous driving. Previous methods usually follow an end-to-end pipeline, directly predicting the BEV segmentation map from monocular RGB inputs. However, the challenge arises w
Externí odkaz:
http://arxiv.org/abs/2404.01925
Autor:
Shi, Xiaoran, Gao, Junfeng, Qiu, Shi, Chang, Yuan, Zhao, Luneng, Fu, Zhen-Guo, Zhao, Jijun, Zhang, Ping
The small atomic mass of boron indicates strong electron-phonon coupling, so it may have a brilliant performance in superconductivity. Recently, a new 2D boride sheet with ordered metal vacancies and surface terminals (Mo4/3B2-x) was realized in expe
Externí odkaz:
http://arxiv.org/abs/2311.07262
Autor:
Zhou, Wangchunshu, Jiang, Yuchen Eleanor, Li, Long, Wu, Jialong, Wang, Tiannan, Qiu, Shi, Zhang, Jintian, Chen, Jing, Wu, Ruipu, Wang, Shuai, Zhu, Shiding, Chen, Jiyu, Zhang, Wentao, Tang, Xiangru, Zhang, Ningyu, Chen, Huajun, Cui, Peng, Sachan, Mrinmaya
Recent advances on large language models (LLMs) enable researchers and developers to build autonomous language agents that can automatically solve various tasks and interact with environments, humans, and other agents using natural language interface
Externí odkaz:
http://arxiv.org/abs/2309.07870
Phantom scalar theories are widely considered in cosmology, but rarely at the quantum level, where they give rise to negative-energy ghost particles. These cause decay of the vacuum into gravitons and photons, violating observational gamma-ray limits
Externí odkaz:
http://arxiv.org/abs/2308.12989
Foundation models, such as OpenAI's GPT-3 and GPT-4, Meta's LLaMA, and Google's PaLM2, have revolutionized the field of artificial intelligence. A notable paradigm shift has been the advent of the Segment Anything Model (SAM), which has exhibited a r
Externí odkaz:
http://arxiv.org/abs/2308.05426
Point cloud completion aims to recover the complete shape based on a partial observation. Existing methods require either complete point clouds or multiple partial observations of the same object for learning. In contrast to previous approaches, we p
Externí odkaz:
http://arxiv.org/abs/2307.14726
Autor:
Naveed, Humza, Khan, Asad Ullah, Qiu, Shi, Saqib, Muhammad, Anwar, Saeed, Usman, Muhammad, Akhtar, Naveed, Barnes, Nick, Mian, Ajmal
Large Language Models (LLMs) have recently demonstrated remarkable capabilities in natural language processing tasks and beyond. This success of LLMs has led to a large influx of research contributions in this direction. These works encompass diverse
Externí odkaz:
http://arxiv.org/abs/2307.06435
Time-domain single-channel speech enhancement (SE) still remains challenging to extract the target speaker without any prior information on multi-talker conditions. It has been shown via auditory attention decoding that the brain activity of the list
Externí odkaz:
http://arxiv.org/abs/2305.09994
With advances in deep learning, neural network based speech enhancement (SE) has developed rapidly in the last decade. Meanwhile, the self-supervised pre-trained model and vector quantization (VQ) have achieved excellent performance on many speech-re
Externí odkaz:
http://arxiv.org/abs/2302.08342