Zobrazeno 1 - 10
of 10 085
pro vyhledávání: '"SONG, Jie"'
Autor:
Jia, Cheng, Wang, Enci, Wang, Huiyuan, Li, Hui, Yao, Yao, Song, Jie, Zhang, Hongxin, Rong, Yu, Chen, Yangyao, Yu, Haoran, Chen, Zeyu, Li, Haixin, Ma, Chengyu, Kong, Xu
We investigate size variation with rest-frame wavelength for star-forming galaxies based on the second JWST Advanced Deep Extragalactic Survey data release. Star-forming galaxies are typically smaller at longer wavelength from UV-to-NIR at $z<3.5$, e
Externí odkaz:
http://arxiv.org/abs/2411.07458
The dynamical Casimir effect (DCE) describes the energy conversion from a mechanical motion to the electromagnetic fields. When the mechanical oscillator is in a mechanically excited state, the free evolution due to the DCE produces radiation in the
Externí odkaz:
http://arxiv.org/abs/2411.03719
In recent years, Facial Expression Recognition (FER) has gained increasing attention. Most current work focuses on supervised learning, which requires a large amount of labeled and diverse images, while FER suffers from the scarcity of large, diverse
Externí odkaz:
http://arxiv.org/abs/2410.17622
Autor:
Huang, Qihan, Song, Jie, Xue, Mengqi, Zhang, Haofei, Hu, Bingde, Wang, Huiqiong, Jiang, Hao, Wang, Xingen, Song, Mingli
Concept activation vector (CAV) has attracted broad research interest in explainable AI, by elegantly attributing model predictions to specific concepts. However, the training of CAV often necessitates a large number of high-quality images, which are
Externí odkaz:
http://arxiv.org/abs/2410.10308
Personalized text-to-image generation methods can generate customized images based on the reference images, which have garnered wide research interest. Recent methods propose a finetuning-free approach with a decoupled cross-attention mechanism to ge
Externí odkaz:
http://arxiv.org/abs/2409.17920
Autor:
Guo, Chen, Jiang, Tianjian, Kaufmann, Manuel, Zheng, Chengwei, Valentin, Julien, Song, Jie, Hilliges, Otmar
While previous years have seen great progress in the 3D reconstruction of humans from monocular videos, few of the state-of-the-art methods are able to handle loose garments that exhibit large non-rigid surface deformations during articulation. This
Externí odkaz:
http://arxiv.org/abs/2409.15269
Autor:
Zhang, Shiliang, Fang, Guanwen, Song, Jie, Li, Ran, Gu, Yizhou, Lin, Zesen, Zhou, Chichun, Dai, Yao, Kong, Xu
Publikováno v:
Research in Astronomy and Astrophysics 24 (2024) 095012
Most existing star-galaxy classifiers depend on the reduced information from catalogs, necessitating careful data processing and feature extraction. In this study, we employ a supervised machine learning method (GoogLeNet) to automatically classify s
Externí odkaz:
http://arxiv.org/abs/2409.13296
Publikováno v:
Physical Review C 110, 034909 (2024)
We have investigated the performance of anisotropic flows $\langle v_n^2 \rangle$, transverse momentum fluctuations $\langle \delta p_T^2 \rangle $, and their correlations $\langle v_n^2 \delta p_T \rangle$ in central collisions at relativistic energ
Externí odkaz:
http://arxiv.org/abs/2409.02452
We present EgoHDM, an online egocentric-inertial human motion capture (mocap), localization, and dense mapping system. Our system uses 6 inertial measurement units (IMUs) and a commodity head-mounted RGB camera. EgoHDM is the first human mocap system
Externí odkaz:
http://arxiv.org/abs/2409.00343
Despite progress in human motion capture, existing multi-view methods often face challenges in estimating the 3D pose and shape of multiple closely interacting people. This difficulty arises from reliance on accurate 2D joint estimations, which are h
Externí odkaz:
http://arxiv.org/abs/2408.02110