Zobrazeno 1 - 10
of 29 583
pro vyhledávání: '"LI, Liang"'
Manipulating valley-polarized currents at optical frequencies is the key to petahertz valleytronics, yet it remains intractable. To tackle this challenge, we propose an all-optical scheme using non-resonant bichromatic optical fields, which allow for
Externí odkaz:
http://arxiv.org/abs/2408.10806
Autor:
Zhang, Zhedong, Li, Liang, Zhang, Jiehua, Hu, Zhenghui, Wang, Hongkui, Yan, Chenggang, Yang, Jian, Qi, Yuankai
Existing symbolic music generation methods usually utilize discriminator to improve the quality of generated music via global perception of music. However, considering the complexity of information in music, such as rhythm and melody, a single discri
Externí odkaz:
http://arxiv.org/abs/2408.01696
Autor:
Zhao, Zhiyu, Liu, Qibin, Chen, Jiyuan, Chen, Jing, Chen, Junfeng, Chen, Xiang, Fu, Changbo, Guo, Jun, Khaw, Kim Siang, Li, Liang, Li, Shu, Liu, Danning, Liu, Kun, Song, Siyuan, Sun, Tong, Tang, Jiannan, Wang, Yufeng, Wang, Zhen, Wu, Weihao, Yang, Haijun, Lin, Yuming, Yuan, Rui, Zhang, Yulei, Zhang, Yunlong, Zhou, Baihong, Zhu, Xuliang, Zhu, Yifan
This paper presents the design and optimization of a LYSO crystal-based electromagnetic calorimeter (ECAL) for the DarkSHINE experiment, which aims to search for dark photon as potential dark force mediator. The ECAL design has been meticulously eval
Externí odkaz:
http://arxiv.org/abs/2407.17800
Active learning (AL) is designed to construct a high-quality labeled dataset by iteratively selecting the most informative samples. Such sampling heavily relies on data representation, while recently pre-training is popular for robust feature learnin
Externí odkaz:
http://arxiv.org/abs/2407.14720
Autor:
Zhang, Yunfei, Liang, Chao, Gao, Jin, Zhang, Zhipeng, Hu, Weiming, Maybank, Stephen, Zhou, Xue, Li, Liang
Joint Detection and Embedding (JDE) trackers have demonstrated excellent performance in Multi-Object Tracking (MOT) tasks by incorporating the extraction of appearance features as auxiliary tasks through embedding Re-Identification task (ReID) into t
Externí odkaz:
http://arxiv.org/abs/2407.14086
Change captioning aims to succinctly describe the semantic change between a pair of similar images, while being immune to distractors (illumination and viewpoint changes). Under these distractors, unchanged objects often appear pseudo changes about l
Externí odkaz:
http://arxiv.org/abs/2407.11683
Training latency is critical for the success of numerous intrigued applications ignited by federated learning (FL) over heterogeneous mobile devices. By revolutionarily overlapping local gradient transmission with continuous local computing, FL can r
Externí odkaz:
http://arxiv.org/abs/2407.00943
The distributed inference paradigm enables the computation workload to be distributed across multiple devices, facilitating the implementations of deep learning based intelligent services on extremely resource-constrained Internet of Things (IoT) sce
Externí odkaz:
http://arxiv.org/abs/2406.14185
Autor:
Fu, Ying, Li, Yu, You, Shaodi, Shi, Boxin, Chen, Linwei, Zou, Yunhao, Wang, Zichun, Li, Yichen, Han, Yuze, Zhang, Yingkai, Wang, Jianan, Liu, Qinglin, Yu, Wei, Lv, Xiaoqian, Li, Jianing, Zhang, Shengping, Ji, Xiangyang, Chen, Yuanpei, Zhang, Yuhan, Peng, Weihang, Zhang, Liwen, Xu, Zhe, Gou, Dingyong, Li, Cong, Xu, Senyan, Zhang, Yunkang, Jiang, Siyuan, Lu, Xiaoqiang, Jiao, Licheng, Liu, Fang, Liu, Xu, Li, Lingling, Ma, Wenping, Yang, Shuyuan, Xie, Haiyang, Zhao, Jian, Huang, Shihua, Cheng, Peng, Shen, Xi, Wang, Zheng, An, Shuai, Zhu, Caizhi, Li, Xuelong, Zhang, Tao, Li, Liang, Liu, Yu, Yan, Chenggang, Zhang, Gengchen, Jiang, Linyan, Song, Bingyi, An, Zhuoyu, Lei, Haibo, Luo, Qing, Song, Jie, Liu, Yuan, Li, Qihang, Zhang, Haoyuan, Wang, Lingfeng, Chen, Wei, Luo, Aling, Li, Cheng, Cao, Jun, Chen, Shu, Dou, Zifei, Liu, Xinyu, Zhang, Jing, Zhang, Kexin, Yang, Yuting, Gou, Xuejian, Wang, Qinliang, Liu, Yang, Zhao, Shizhan, Zhang, Yanzhao, Yan, Libo, Guo, Yuwei, Li, Guoxin, Gao, Qiong, Che, Chenyue, Sun, Long, Chen, Xiang, Li, Hao, Pan, Jinshan, Xie, Chuanlong, Chen, Hongming, Li, Mingrui, Deng, Tianchen, Huang, Jingwei, Li, Yufeng, Wan, Fei, Xu, Bingxin, Cheng, Jian, Liu, Hongzhe, Xu, Cheng, Zou, Yuxiang, Pan, Weiguo, Dai, Songyin, Jia, Sen, Zhang, Junpei, Chen, Puhua
The intersection of physics-based vision and deep learning presents an exciting frontier for advancing computer vision technologies. By leveraging the principles of physics to inform and enhance deep learning models, we can develop more robust and ac
Externí odkaz:
http://arxiv.org/abs/2406.10744
Multi-change captioning aims to describe complex and coupled changes within an image pair in natural language. Compared with single-change captioning, this task requires the model to have higher-level cognition ability to reason an arbitrary number o
Externí odkaz:
http://arxiv.org/abs/2405.20810