Zobrazeno 1 - 10
of 14 302
pro vyhledávání: '"Zhao., Chen"'
Autor:
Wei, Xishuo, Nicolau, Javier H, Choi, Gyungjin, Lin, Zhihong, Yang, SeongMoo, Kim, SangKyeun, Lee, WooChang, Zhao, Chen, Cote, Tyler, Park, JongKyu, Orlov, Dmitri
Gyrokinetic simulations are utilized to study effects of magnetic islands on the ion temperature gradient (ITG) turbulence in the KSTAR tokamak with resonant magnetic perturbations. Simulations show that the transport is controlled by the nonlinear i
Externí odkaz:
http://arxiv.org/abs/2412.09522
Autor:
Chen, Zheng, Wu, Chenming, Shen, Zhelun, Zhao, Chen, Ye, Weicai, Feng, Haocheng, Ding, Errui, Zhang, Song-Hai
Wide-baseline panoramic images are frequently used in applications like VR and simulations to minimize capturing labor costs and storage needs. However, synthesizing novel views from these panoramic images in real time remains a significant challenge
Externí odkaz:
http://arxiv.org/abs/2412.06250
Recent advancements in high-fidelity dynamic scene reconstruction have leveraged dynamic 3D Gaussians and 4D Gaussian Splatting for realistic scene representation. However, to make these methods viable for real-time applications such as AR/VR, gaming
Externí odkaz:
http://arxiv.org/abs/2412.05700
Recent observations have revealed an unusual stellar distribution within the almost dark dwarf galaxy Nube. The galaxy exhibits a remarkably flat stellar distribution, with an effective radius of approximately 6.9 kpc, exceeding the typical size of d
Externí odkaz:
http://arxiv.org/abs/2412.01307
Autor:
Xiong, Bojun, Liu, Jialun, Hu, Jiakui, Wu, Chenming, Wu, Jinbo, Liu, Xing, Zhao, Chen, Ding, Errui, Lian, Zhouhui
Physically Based Rendering (PBR) materials play a crucial role in modern graphics, enabling photorealistic rendering across diverse environment maps. Developing an effective and efficient algorithm that is capable of automatically generating high-qua
Externí odkaz:
http://arxiv.org/abs/2411.19654
Exposure correction is a fundamental problem in computer vision and image processing. Recently, frequency domain-based methods have achieved impressive improvement, yet they still struggle with complex real-world scenarios under extreme exposure cond
Externí odkaz:
http://arxiv.org/abs/2411.15255
Domain generalization on graphs aims to develop models with robust generalization capabilities, ensuring effective performance on the testing set despite disparities between testing and training distributions. However, existing methods often rely on
Externí odkaz:
http://arxiv.org/abs/2411.12913
Autor:
Li, Hao, Gao, Yuanyuan, Peng, Haosong, Wu, Chenming, Ye, Weicai, Zhan, Yufeng, Zhao, Chen, Zhang, Dingwen, Wang, Jingdong, Han, Junwei
Novel-view synthesis (NVS) approaches play a critical role in vast scene reconstruction. However, these methods rely heavily on dense image inputs and prolonged training times, making them unsuitable where computational resources are limited. Additio
Externí odkaz:
http://arxiv.org/abs/2411.12309
Open-set domain generalization addresses a real-world challenge: training a model to generalize across unseen domains (domain generalization) while also detecting samples from unknown classes not encountered during training (open-set recognition). Ho
Externí odkaz:
http://arxiv.org/abs/2411.07392
Autor:
Zhao, Yilun, Long, Yitao, Jiang, Yuru, Wang, Chengye, Chen, Weiyuan, Liu, Hongjun, Zhang, Yiming, Tang, Xiangru, Zhao, Chen, Cohan, Arman
We introduce FinDVer, a comprehensive benchmark specifically designed to evaluate the explainable claim verification capabilities of LLMs in the context of understanding and analyzing long, hybrid-content financial documents. FinDVer contains 2,400 e
Externí odkaz:
http://arxiv.org/abs/2411.05764