Zobrazeno 1 - 10
of 10 493
pro vyhledávání: '"SONG Jie"'
Autor:
Lv, Qingsong, Sun, Jiasheng, Zhou, Sheng, Zhang, Xu, Li, Liangcheng, Gao, Yun, Qiao, Sun, Song, Jie, Bu, Jiajun
To reduce computational overhead while maintaining model performance, model pruning techniques have been proposed. Among these, structured pruning, which removes entire convolutional channels or layers, significantly enhances computational efficiency
Externí odkaz:
http://arxiv.org/abs/2411.12781
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