Zobrazeno 1 - 10
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pro vyhledávání: '"Li, P. P."'
Autor:
Li, Zhuo, Luo, Mingshuang, Hou, Ruibing, Zhao, Xin, Liu, Hao, Chang, Hong, Liu, Zimo, Li, Chen
Human motion generation plays a vital role in applications such as digital humans and humanoid robot control. However, most existing approaches disregard physics constraints, leading to the frequent production of physically implausible motions with p
Externí odkaz:
http://arxiv.org/abs/2411.14951
We show that a domain in $\mathbb{R}^3$ with the trace of a 3D Brownian motion removed almost surely satisfies the boundary Harnack principle (BHP). Then, we use it to prove that the intersection exponents for 3D Brownian motion are analytic.
Co
Co
Externí odkaz:
http://arxiv.org/abs/2411.14921
Unmanned Aerial Vehicle (UAV) Cross-View Geo-Localization (CVGL) presents significant challenges due to the view discrepancy between oblique UAV images and overhead satellite images. Existing methods heavily rely on the supervision of labeled dataset
Externí odkaz:
http://arxiv.org/abs/2411.14816
Multimodal large language models (MLLMs) are increasingly being applied in the medical field, particularly in medical imaging. However, developing MLLMs for ECG signals, which are crucial in clinical settings, has been a significant challenge beyond
Externí odkaz:
http://arxiv.org/abs/2411.14795
Significant advancements have been made in semantic image synthesis in remote sensing. However, existing methods still face formidable challenges in balancing semantic controllability and diversity. In this paper, we present a Hybrid Semantic Embeddi
Externí odkaz:
http://arxiv.org/abs/2411.14781
Reproducing buggy code is the first and crucially important step in issue resolving, as it aids in identifying the underlying problems and validating that generated patches resolve the problem. While numerous approaches have been proposed for this ta
Externí odkaz:
http://arxiv.org/abs/2411.13941
Autor:
Li, Shuai, Chen, Chaoyi, Zheng, Haotian, Wang, Jiawei, Xu, Qing, Wang, Jianqiang, Li, Keqiang
Controlling mixed platoons, which consist of both connected and automated vehicles (CAVs) and human-driven vehicles (HDVs), poses significant challenges due to the uncertain and unknown human driving behaviors. Data-driven control methods offer promi
Externí odkaz:
http://arxiv.org/abs/2411.13924
Learning models of dynamical systems with external inputs, that may be, for example, nonsmooth or piecewise, is crucial for studying complex phenomena and predicting future state evolution, which is essential for applications such as safety guarantee
Externí odkaz:
http://arxiv.org/abs/2411.13914
Autor:
Wang, Lei, Shan, Huanyuan, Nie, Lin, Cheng, Cheng, Yuan, Fang-Ting, Cui, Qifan, Li, Guoliang, Xie, Yushan, Liu, Dezi, Liu, Yao, Fang, Min, Li, Nan, Jia, Peng, Li, Ran, Liu, Fengshan, Shu, Yiping, Jiang, Chang, Wei, Cheng-Liang, Qu, Han, Zheng, Wen-Wen, Zhu, Li-Yan, Kang, Xi
We present the application of the image coaddition algorithm, Up-sampling and PSF Deconvolution Coaddition (UPDC), for stacking multiple exposure images captured by the James Webb Space Telescope (JWST) Near-Infrared Camera (NIRCam). By addressing th
Externí odkaz:
http://arxiv.org/abs/2411.13891
Autor:
Li, Jiatong, Liu, Yunqing, Liu, Wei, Le, Jingdi, Zhang, Di, Fan, Wenqi, Zhou, Dongzhan, Li, Yuqiang, Li, Qing
Molecule discovery is a pivotal research field, impacting everything from the medicines we take to the materials we use. Recently, Large Language Models (LLMs) have been widely adopted in molecule understanding and generation, yet the alignments betw
Externí odkaz:
http://arxiv.org/abs/2411.14721