Zobrazeno 1 - 10
of 682
pro vyhledávání: '"Dou Yong"'
Autor:
Xu, Qisheng, Sun, Yulin, Su, Yi, Zhu, Qian, Tan, Xiaoyi, Wen, Hongyu, Gao, Zijian, Xu, Kele, Dou, Yong, Feng, Dawei
Deep learning, with its robust aotomatic feature extraction capabilities, has demonstrated significant success in audio signal processing. Typically, these methods rely on static, pre-collected large-scale datasets for training, performing well on a
Externí odkaz:
http://arxiv.org/abs/2412.11907
Retrieval-augmented generation (RAG) framework has shown promising potential in knowledge-intensive question answering (QA) by retrieving external corpus and generating based on augmented context. However, existing approaches only consider the query
Externí odkaz:
http://arxiv.org/abs/2410.22353
The innate correlation between a person's face and voice has recently emerged as a compelling area of study, especially within the context of multilingual environments. This paper introduces our novel solution to the Face-Voice Association in Multili
Externí odkaz:
http://arxiv.org/abs/2408.02025
Neural Surface Reconstruction learns a Signed Distance Field~(SDF) to reconstruct the 3D model from multi-view images. Previous works adopt voxel-based explicit representation to improve efficiency. However, they ignored the gradient instability of i
Externí odkaz:
http://arxiv.org/abs/2406.07170
Neural Radiance Field~(NeRF) achieves extremely high quality in object-scaled and indoor scene reconstruction. However, there exist some challenges when reconstructing large-scale scenes. MLP-based NeRFs suffer from limited network capacity, while vo
Externí odkaz:
http://arxiv.org/abs/2405.04416
Autor:
Conde, Marcos V., Vasluianu, Florin-Alexandru, Timofte, Radu, Zhang, Jianxing, Li, Jia, Wang, Fan, Li, Xiaopeng, Liu, Zikun, Park, Hyunhee, Song, Sejun, Kim, Changho, Huang, Zhijuan, Yu, Hongyuan, Wan, Cheng, Xiang, Wending, Lin, Jiamin, Zhong, Hang, Zhang, Qiaosong, Sun, Yue, Yin, Xuanwu, Zuo, Kunlong, Xu, Senyan, Jiang, Siyuan, Sun, Zhijing, Zhu, Jiaying, Li, Liangyan, Chen, Ke, Li, Yunzhe, Ning, Yimo, Zhao, Guanhua, Chen, Jun, Yu, Jinyang, Xu, Kele, Xu, Qisheng, Dou, Yong
This paper reviews the NTIRE 2024 RAW Image Super-Resolution Challenge, highlighting the proposed solutions and results. New methods for RAW Super-Resolution could be essential in modern Image Signal Processing (ISP) pipelines, however, this problem
Externí odkaz:
http://arxiv.org/abs/2404.16223
3D Gaussian Splatting (3D-GS) technique couples 3D Gaussian primitives with differentiable rasterization to achieve high-quality novel view synthesis results while providing advanced real-time rendering performance. However, due to the flaw of its ad
Externí odkaz:
http://arxiv.org/abs/2404.10484
Publikováno v:
Cybernetics and Information Technologies, Vol 14, Iss 5, Pp 40-50 (2014)
The Sparse Coding (SC) model has been proved to be among the best neural networks which are mainly used in unsupervised feature learning for many applications. Running a sparse coding algorithm is a time-consuming task due to its large scale and proc
Externí odkaz:
https://doaj.org/article/53f0241f5c1248a78a1085533c8b5c73
Temporal relation prediction in incomplete temporal knowledge graphs (TKGs) is a popular temporal knowledge graph completion (TKGC) problem in both transductive and inductive settings. Traditional embedding-based TKGC models (TKGE) rely on structured
Externí odkaz:
http://arxiv.org/abs/2304.04717