Zobrazeno 1 - 10
of 103 146
pro vyhledávání: '"Hang, P"'
Autor:
Hang, Nguyen T. V., Sarabi, Ebrahim
$\mathcal C^2$-partial smoothness of functions has been an important subject of research in optimization, on both theoretical and algorithmic aspects, since it was first introduced by Lewis in 2002. Our work aims at providing a fresh variational anal
Externí odkaz:
http://arxiv.org/abs/2411.00655
In this paper, we propose MDCTCodec, an efficient lightweight end-to-end neural audio codec based on the modified discrete cosine transform (MDCT). The encoder takes the MDCT spectrum of audio as input, encoding it into a continuous latent code which
Externí odkaz:
http://arxiv.org/abs/2411.00464
Autor:
Liu, Jiaqi, Xu, Chengkai, Hang, Peng, Sun, Jian, Ding, Mingyu, Zhan, Wei, Tomizuka, Masayoshi
The cooperative driving technology of Connected and Autonomous Vehicles (CAVs) is crucial for improving the efficiency and safety of transportation systems. Learning-based methods, such as Multi-Agent Reinforcement Learning (MARL), have demonstrated
Externí odkaz:
http://arxiv.org/abs/2410.24152
Self-occlusion is common when capturing people in the wild, where the performer do not follow predefined motion scripts. This challenges existing monocular human reconstruction systems that assume full body visibility. We introduce Self-Occluded Avat
Externí odkaz:
http://arxiv.org/abs/2410.23800
Future wireless networks are poised to transform into integrated sensing and communication (ISAC) networks, unlocking groundbreaking services such as digital twinning. To harness the full potential of ISAC networks, it is essential to experimentally
Externí odkaz:
http://arxiv.org/abs/2410.22956
In recent years, the realm of crystalline materials has witnessed a surge in the development of generative models, predominantly aimed at the inverse design of crystals with tailored physical properties. However, spatial symmetry, which serves as a s
Externí odkaz:
http://arxiv.org/abs/2410.22828
Time-varying data with irregular structures can be described by finite time-vertex graph signals (FTVGS), which represent potential temporal and spatial relationships among multiple sources. While sampling and corresponding reconstruction of FTVGS wi
Externí odkaz:
http://arxiv.org/abs/2410.22731
Autor:
Hang, Peng-Cheng
Recently, Hang and Luo (2024) used an elementary approach to derive the leading asymptotic behavior of the Humbert function $\Psi_1[a,b;c,c';x,y]$ when $x\to\infty$ and $y\to +\infty$. In this paper, we give detailed asymptotic analyses of $\Psi_1$ w
Externí odkaz:
http://arxiv.org/abs/2410.21985
Fine-tuning large-scale text-to-image diffusion models for various downstream tasks has yielded impressive results. However, the heavy computational burdens of tuning large models prevent personal customization. Recent advances have attempted to empl
Externí odkaz:
http://arxiv.org/abs/2410.21759
Heterogeneous graph is an important structure for modeling complex relational data in real-world scenarios and usually involves various node prediction tasks within a single graph. Training these tasks separately may neglect beneficial information sh
Externí odkaz:
http://arxiv.org/abs/2410.22089