Zobrazeno 1 - 10
of 19 738
pro vyhledávání: '"Wenjia AN"'
Assessing lesions and tracking their progression over time in brain magnetic resonance (MR) images is essential for diagnosing and monitoring multiple sclerosis (MS). Machine learning models have shown promise in automating the segmentation of MS les
Externí odkaz:
http://arxiv.org/abs/2412.10946
While motion generation has made substantial progress, its practical application remains constrained by dataset diversity and scale, limiting its ability to handle out-of-distribution scenarios. To address this, we propose a simple and effective base
Externí odkaz:
http://arxiv.org/abs/2412.04343
Autor:
Guo, Wei, Wang, Hao, Zhang, Luankang, Chin, Jin Yao, Liu, Zhongzhou, Cheng, Kai, Pan, Qiushi, Lee, Yi Quan, Xue, Wanqi, Shen, Tingjia, Song, Kenan, Wang, Kefan, Xie, Wenjia, Ye, Yuyang, Guo, Huifeng, Liu, Yong, Lian, Defu, Tang, Ruiming, Chen, Enhong
Recommendation systems are essential for filtering data and retrieving relevant information across various applications. Recent advancements have seen these systems incorporate increasingly large embedding tables, scaling up to tens of terabytes for
Externí odkaz:
http://arxiv.org/abs/2412.00714
Autor:
Wang, Wenjia, Pan, Liang, Dou, Zhiyang, Liao, Zhouyingcheng, Lou, Yuke, Yang, Lei, Wang, Jingbo, Komura, Taku
Simulating long-term human-scene interaction is a challenging yet fascinating task. Previous works have not effectively addressed the generation of long-term human scene interactions with detailed narratives for physics-based animation. This paper in
Externí odkaz:
http://arxiv.org/abs/2411.19921
Autor:
Liao, Wei-Yu, Wang, Wen-Xiao, Zhang, Shihao, Zhang, Yang, Tong, Ling-Hui, Zhang, Wenjia, Cai, Hao, Tian, Yuan, Hu, Yuanyuan, Zhang, Li, Zhang, Lijie, Qin, Zhihui, Yin, Long-Jing
Multilayer rhombohedral graphene (RG) has recently emerged as a new, structurally simple flat-band system, which facilitates the exploration of interaction-driven correlation states with highly ordered electron arrangements. Despite a variety of many
Externí odkaz:
http://arxiv.org/abs/2411.14113
Video-based visible-infrared person re-identification (VVI-ReID) is challenging due to significant modality feature discrepancies. Spatial-temporal information in videos is crucial, but the accuracy of spatial-temporal information is often influenced
Externí odkaz:
http://arxiv.org/abs/2411.11069
Low-dose CT (LDCT) significantly reduces the radiation dose received by patients, however, dose reduction introduces additional noise and artifacts. Currently, denoising methods based on convolutional neural networks (CNNs) face limitations in long-r
Externí odkaz:
http://arxiv.org/abs/2411.07930
Charging station availability is crucial for a thriving electric vehicle market. Due to budget constraints, locating these stations usually proceeds in phases, which calls for careful consideration of the (random) charging demand growth throughout th
Externí odkaz:
http://arxiv.org/abs/2411.01416
Sequential recommendation (SR) aims to predict items that users may be interested in based on their historical behavior sequences. We revisit SR from a novel information-theoretic perspective and find that conventional sequential modeling methods fai
Externí odkaz:
http://arxiv.org/abs/2410.23994
Autor:
Li, Yu, Zhang, Wenjia
In this paper, we prove the uniqueness of K\"ahler Ricci shrinkers on toric orbifolds, extending the corresponding results previously established for toric manifolds.
Externí odkaz:
http://arxiv.org/abs/2410.21950