Zobrazeno 1 - 10
of 9 556
pro vyhledávání: '"An, Yunsong"'
Visual language models like Contrastive Language-Image Pretraining (CLIP) have shown impressive performance in analyzing natural images with language information. However, these models often encounter challenges when applied to specialized domains su
Externí odkaz:
http://arxiv.org/abs/2412.07119
A regular bipartite graph $\Gamma$ is called semisymmetric if its full automorphism group $\mathrm{Aut}(\Gamma)$ acts transitively on the edge set but not on the vertex set. For a subgroup $G$ of $\mathrm{Aut}(\Gamma)$ that stabilizes the biparts of
Externí odkaz:
http://arxiv.org/abs/2412.03057
Electrochemical processes play a crucial role in energy storage and conversion systems, yet their computational modeling remains a significant challenge. Accurately incorporating the effects of electric potential has been a central focus in theoretic
Externí odkaz:
http://arxiv.org/abs/2411.14732
Autor:
Guo, Wenjin, Liu, Donglai, Xie, Weiying, Li, Yunsong, Ning, Xuefei, Meng, Zihan, Zeng, Shulin, Lei, Jie, Fang, Zhenman, Wang, Yu
Neural network training is a memory- and compute-intensive task. Quantization, which enables low-bitwidth formats in training, can significantly mitigate the workload. To reduce quantization error, recent methods have developed new data formats and a
Externí odkaz:
http://arxiv.org/abs/2411.10948
Autor:
Xu, Kepeng, Xu, Li, He, Gang, Zhang, Zhiqiang, Yu, Wenxin, Wang, Shihao, Zhou, Dajiang, Li, Yunsong
The rise of HDR-WCG display devices has highlighted the need to convert SDRTV to HDRTV, as most video sources are still in SDR. Existing methods primarily focus on designing neural networks to learn a single-style mapping from SDRTV to HDRTV. However
Externí odkaz:
http://arxiv.org/abs/2411.10775
Recent advances in neural camera imaging pipelines have demonstrated notable progress. Nevertheless, the real-world imaging pipeline still faces challenges including the lack of joint optimization in system components, computational redundancies, and
Externí odkaz:
http://arxiv.org/abs/2411.10773
Autor:
Bai, Ai-Yu, Cai, Hanjie, Chen, Chang-Lin, Chen, Siyuan, Chen, Xurong, Chen, Yu, Cheng, Weibin, Dai, Ling-Yun, Fan, Rui-Rui, Gong, Li, Guo, Zihao, He, Yuan, Hou, Zhilong, Huang, Yinyuan, Jia, Huan, Jiang, Hao, Jing, Han-Tao, Kang, Xiaoshen, Li, Hai-Bo, Li, Jincheng, Li, Yang, Liu, Shulin, Lu, Guihao, Miao, Han, Ning, Yunsong, Niu, Jianwei, Peng, Huaxing, Petrov, Alexey A., Qin, Yuanshuai, Sun, Mingchen, Tang, Jian, Tang, Jing-Yu, Tian, Ye, Wang, Rong, Wang, Xiaodong, Wang, Zhichao, Wu, Chen, Xing, Tian-Yu, Xiong, Weizhi, Xu, Yu, Yan, Baojun, Yao, De-Liang, Yu, Tao, Yuan, Ye, Yuan, Yi, Zhang, Yao, Zhang, Yongchao, Zhang, Zhilv, Zhao, Guang, Zhao, Shihan
The spontaneous conversion of muonium to antimuonium is one of the interesting charged lepton flavor violation phenomena, offering a sensitive probe of potential new physics and serving as a tool to constrain the parameter space beyond the Standard M
Externí odkaz:
http://arxiv.org/abs/2410.18817
Autor:
Dong, Shuhan, Li, Yunsong, Xie, Weiying, Zhang, Jiaqing, Tian, Jiayuan, Yang, Danian, Lei, Jie
Multimodal object detection leverages diverse modal information to enhance the accuracy and robustness of detectors. By learning long-term dependencies, Transformer can effectively integrate multimodal features in the feature extraction stage, which
Externí odkaz:
http://arxiv.org/abs/2410.11358
Autor:
Yang, Sheng, Wu, Yurong, Gao, Yan, Zhou, Zineng, Zhu, Bin Benjamin, Sun, Xiaodi, Lou, Jian-Guang, Ding, Zhiming, Hu, Anbang, Fang, Yuan, Li, Yunsong, Chen, Junyan, Yang, Linjun
Prompt engineering is very important to enhance the performance of large language models (LLMs). When dealing with complex issues, prompt engineers tend to distill multiple patterns from examples and inject relevant solutions to optimize the prompts,
Externí odkaz:
http://arxiv.org/abs/2410.08696
Although numerous studies report significant sex differences in functional connectivity, these differences do not sufficient to reveal specific functional disparities among brain regions or the topological differences in brain networks. Meanwhile, in
Externí odkaz:
http://arxiv.org/abs/2410.05923