Zobrazeno 1 - 10
of 5 296
pro vyhledávání: '"He, Xiang"'
Human beings often experience stress, which can significantly influence their performance. This study explores whether Large Language Models (LLMs) exhibit stress responses similar to those of humans and whether their performance fluctuates under dif
Externí odkaz:
http://arxiv.org/abs/2409.17167
Autor:
He, Xiang, Liu, Xiangxi, Li, Yang, Zhao, Dongcheng, Shen, Guobin, Kong, Qingqun, Yang, Xin, Zeng, Yi
The audio-visual event localization task requires identifying concurrent visual and auditory events from unconstrained videos within a network model, locating them, and classifying their category. The efficient extraction and integration of audio and
Externí odkaz:
http://arxiv.org/abs/2408.01952
MaxSAT modulo theories (MaxSMT) is an important generalization of Satisfiability modulo theories (SMT) with various applications. In this paper, we focus on MaxSMT with the background theory of Linear Integer Arithmetic, denoted as MaxSMT(LIA). We de
Externí odkaz:
http://arxiv.org/abs/2406.15782
Spike-based neuromorphic hardware has demonstrated substantial potential in low energy consumption and efficient inference. However, the direct training of deep spiking neural networks is challenging, and conversion-based methods still require substa
Externí odkaz:
http://arxiv.org/abs/2406.05371
Dynamic Vision Sensors (DVS) capture event data with high temporal resolution and low power consumption, presenting a more efficient solution for visual processing in dynamic and real-time scenarios compared to conventional video capture methods. Eve
Externí odkaz:
http://arxiv.org/abs/2405.18880
Autor:
Shen, Guobin, Zhao, Dongcheng, He, Xiang, Feng, Linghao, Dong, Yiting, Wang, Jihang, Zhang, Qian, Zeng, Yi
Decoding non-invasive brain recordings is pivotal for advancing our understanding of human cognition but faces challenges due to individual differences and complex neural signal representations. Traditional methods often require customized models and
Externí odkaz:
http://arxiv.org/abs/2404.19438
Autor:
He, Xiang, Song, Weiye, Wang, Yiming, Poiesi, Fabio, Yi, Ji, Desai, Manishi, Xu, Quanqing, Yang, Kongzheng, Wan, Yi
Automatic retinal layer segmentation with medical images, such as optical coherence tomography (OCT) images, serves as an important tool for diagnosing ophthalmic diseases. However, it is challenging to achieve accurate segmentation due to low contra
Externí odkaz:
http://arxiv.org/abs/2404.16346
Autor:
Song, Xiaowei, Zheng, Jv, Yuan, Shiran, Gao, Huan-ang, Zhao, Jingwei, He, Xiang, Gu, Weihao, Zhao, Hao
In this paper, we present a Scale-adaptive method for Anti-aliasing Gaussian Splatting (SA-GS). While the state-of-the-art method Mip-Splatting needs modifying the training procedure of Gaussian splatting, our method functions at test-time and is tra
Externí odkaz:
http://arxiv.org/abs/2403.19615
Given a family of parameterized algebraic curves over a strictly semistable pair, we show that the simultaneous tropicalization of the curves in the family forms a family of parameterized tropical curves over the skeleton of the strictly semistable p
Externí odkaz:
http://arxiv.org/abs/2403.15686
Autor:
Zeng, Yi, Zhao, Feifei, Zhao, Yuxuan, Zhao, Dongcheng, Lu, Enmeng, Zhang, Qian, Wang, Yuwei, Feng, Hui, Zhao, Zhuoya, Wang, Jihang, Kong, Qingqun, Sun, Yinqian, Li, Yang, Shen, Guobin, Han, Bing, Dong, Yiting, Pan, Wenxuan, He, Xiang, Bao, Aorigele, Wang, Jin
The question "Can machines think?" and the Turing Test to assess whether machines could achieve human-level intelligence is one of the roots of AI. With the philosophical argument "I think, therefore I am", this paper challenge the idea of a "thinkin
Externí odkaz:
http://arxiv.org/abs/2402.18784