Zobrazeno 1 - 10
of 2 062
pro vyhledávání: '"Liu Miaomiao"'
Publikováno v:
Xiehe Yixue Zazhi, Vol 15, Iss 2, Pp 382-386 (2024)
Ischemic stroke, a cerebrovascular disease with high incidence, high mortality, high disability rate and high recurrence rate, is an important cause of death and disability of middle-aged and elderly people in China, and imposes a huge burden to soci
Externí odkaz:
https://doaj.org/article/604d3c940d764d48806db327234d96e4
Publikováno v:
Xiehe Yixue Zazhi, Vol 15, Iss 1, Pp 153-159 (2024)
Chronic obstructive pulmonary disease (COPD), a respiratory disease characterized by inflammation due to neutrophil infiltration, has become the third leading cause of death worldwide. After the occurrence of COPD, the persistent accumulation of neut
Externí odkaz:
https://doaj.org/article/3618be8966e8496db9313b6b799e610e
Publikováno v:
Processing and Application of Ceramics, Vol 16, Iss 3, Pp 191-200 (2022)
Ta doped TiN films were prepared on glass substrates by DC magnetron co-sputtering. The structure and properties of the obtained (Ti,Ta)N film were characterized by X-ray diffraction, Raman spectroscopy, ultraviolet/visible/near-infrared spectrophoto
Externí odkaz:
https://doaj.org/article/50d32b8b2d694682bf741c53ebdf73ec
Publikováno v:
Cognitive Computation and Systems, Vol 3, Iss 3, Pp 206-220 (2021)
Abstract The body area network (BAN) is composed of every wearable device network on the body to share information and data, which is applied in medical and health, especially in the direction of intelligent clothing. A wearable device is an integrat
Externí odkaz:
https://doaj.org/article/9948ed86dcb1420cba1e0df52501f30d
This paper tackles the problem of novel view audio-visual synthesis along an arbitrary trajectory in an indoor scene, given the audio-video recordings from other known trajectories of the scene. Existing methods often overlook the effect of room geom
Externí odkaz:
http://arxiv.org/abs/2407.02264
This paper focuses on self-supervised monocular depth estimation in dynamic scenes trained on monocular videos. Existing methods jointly estimate pixel-wise depth and motion, relying mainly on an image reconstruction loss. Dynamic regions1 remain a c
Externí odkaz:
http://arxiv.org/abs/2404.14908
Publikováno v:
The IEEE/CVF Conference on Computer Vision and Pattern Recognition 2024
In this paper, we address the problem of efficient point searching and sampling for volume neural rendering. Within this realm, two typical approaches are employed: rasterization and ray tracing. The rasterization-based methods enable real-time rende
Externí odkaz:
http://arxiv.org/abs/2404.14044
Publikováno v:
In Australasian Joint Conference on Artificial Intelligence (pp. 277-288). Singapore: Springer Nature Singapore 2023
In this paper, we introduce a MusIc conditioned 3D Dance GEneraTion model, named MIDGET based on Dance motion Vector Quantised Variational AutoEncoder (VQ-VAE) model and Motion Generative Pre-Training (GPT) model to generate vibrant and highquality d
Externí odkaz:
http://arxiv.org/abs/2404.12062
In this paper, we tackle the problem of scene-aware 3D human motion forecasting. A key challenge of this task is to predict future human motions that are consistent with the scene by modeling the human-scene interactions. While recent works have demo
Externí odkaz:
http://arxiv.org/abs/2310.00615
We tackle the task of scalable unsupervised object-centric representation learning on 3D scenes. Existing approaches to object-centric representation learning show limitations in generalizing to larger scenes as their learning processes rely on a fix
Externí odkaz:
http://arxiv.org/abs/2309.14010