Zobrazeno 1 - 10
of 1 131 491
pro vyhledávání: '"Chao, An"'
Tracking multiple tiny objects is highly challenging due to their weak appearance and limited features. Existing multi-object tracking algorithms generally focus on single-modality scenes, and overlook the complementary characteristics of tiny object
Externí odkaz:
http://arxiv.org/abs/2412.10861
Autor:
Wang, Yu-Tong, Ye, Qi-Hang, Yan, Jun-Yong, Qiao, Yufei, Chen, Chen, Cheng, Xiao-Tian, Li, Chen-Hui, Zhang, Zi-Jian, Huang, Cheng-Nian, Meng, Yun, Zou, Kai, Zhan, Wen-Kang, Zhao, Chao, Hu, Xiaolong, Tee, Clarence Augustine T H, Sha, Wei E. I., Huang, Zhixiang, Liu, Huiyun, Jin, Chao-Yuan, Ying, Lei, Liu, Feng
Quantum emitters are a key component in photonic quantum technologies. Enhancing their single-photon emission by engineering the photonic environment using cavities can significantly improve the overall efficiency in quantum information processing. H
Externí odkaz:
http://arxiv.org/abs/2411.16830
Autor:
Liu, Chao, Ma, Chao, Chang, Tieyan, Wang, Xiaoli, Fan, Chuanyan, Han, Lu, Li, Feiyu, Wang, Shanpeng, Chen, Yu-Sheng, Zhang, Junjie
Publikováno v:
Crystal Growth & Design (2024)
Quasi-two-dimensional averievites with triangle-kagome-triangle trilayers are of interest due to their rich structural and magnetic transitions and strong spin frustration that are expected to host quantum spin liquid ground state with suitable subst
Externí odkaz:
http://arxiv.org/abs/2411.08596
Autor:
Shen, Chao, Zhan, Wenkang, Pan, Shujie, Hao, Hongyue, Zhuo, Ning, Xin, Kaiyao, Cong, Hui, Xu, Chi, Xu, Bo, Ng, Tien Khee, Chen, Siming, Xue, Chunlai, Liu, Fengqi, Wang, Zhanguo, Zhao, Chao
Traditional methods for optimizing light source emissions rely on a time-consuming trial-and-error approach. While in-situ optimization of light source gain media emission during growth is ideal, it has yet to be realized. In this work, we integrate
Externí odkaz:
http://arxiv.org/abs/2411.00332
Human preference alignment can greatly enhance Multimodal Large Language Models (MLLMs), but collecting high-quality preference data is costly. A promising solution is the self-evolution strategy, where models are iteratively trained on data they gen
Externí odkaz:
http://arxiv.org/abs/2412.15650
Creating high-quality 3D avatars using 3D Gaussian Splatting (3DGS) from a monocular video benefits virtual reality and telecommunication applications. However, existing automatic methods exhibit artifacts under novel poses due to limited information
Externí odkaz:
http://arxiv.org/abs/2412.15609
Retrieval-augmented generation (RAG) has gained traction as a powerful approach for enhancing language models by integrating external knowledge sources. However, RAG introduces challenges such as retrieval latency, potential errors in document select
Externí odkaz:
http://arxiv.org/abs/2412.15605
Reinforcement learning methods have proposed promising traffic signal control policy that can be trained on large road networks. Current SOTA methods model road networks as topological graph structures, incorporate graph attention into deep Q-learnin
Externí odkaz:
http://arxiv.org/abs/2412.15703
Autor:
Lin, Rui, Zhong, Han-Sen, Li, You, Zhao, Zhang-Rui, Zheng, Le-Tian, Hu, Tai-Ran, Wu, Hong-Ming, Wu, Zhan, Ma, Wei-Jie, Gao, Yan, Zhu, Yi-Kang, Su, Zhao-Feng, Ouyang, Wan-Li, Zhang, Yu-Chen, Rui, Jun, Chen, Ming-Cheng, Lu, Chao-Yang, Pan, Jian-Wei
Assembling increasingly larger-scale defect-free optical tweezer-trapped atom arrays is essential for quantum computation and quantum simulations based on atoms. Here, we propose an AI-enabled, rapid, constant-time-overhead rearrangement protocol, an
Externí odkaz:
http://arxiv.org/abs/2412.14647
Split Federated Learning (SFL) is a distributed machine learning paradigm that combines federated learning and split learning. In SFL, a neural network is partitioned at a cut layer, with the initial layers deployed on clients and remaining layers on
Externí odkaz:
http://arxiv.org/abs/2412.15536