404 citations
- Peking UniversityCN3 papers
- Beihang UniversityCN2 papers
- Northwestern Polytechnical UniversityCN2 papers
- Tsinghua UniversityCN2 papers
- Chinese Academy of SciencesCN1 paper
- Computer Algorithms for MedicineAT1 paper
- Datang Telecom Group (China)CN1 paper
- Fudan UniversityCN1 paper
- Institute of Information EngineeringCN1 paper
- National University of Defense TechnologyCN1 paper
- National University of SingaporeSG1 paper
- Peng Cheng LaboratoryCN1 paper
8 papers
: Language Modeling with Explicit Memory
Hongkang Yang, Zehao Lin, Wenjin Wang +13
The training and inference of large language models (LLMs) are together a costly process that transports knowledge from raw data to meaningful computation. Inspired by the memory h…
The Multi-speaker Multi-style Voice Cloning Challenge 2021
Qicong Xie, Xiaohai Tian, Guanghou Liu +9
The Multi-speaker Multi-style Voice Cloning Challenge (M2VoC) aims to provide a common sizable dataset as well as a fair testbed for the benchmarking of the popular voice cloning t…
Accent and Speaker Disentanglement in Many-to-many Voice Conversion
Zhichao Wang, Wenshuo Ge, Xiong Wang +6
This paper proposes an interesting voice and accent joint conversion approach, which can convert an arbitrary source speaker's voice to a target speaker with non-native accent. Thi…
Boundary Content Graph Neural Network for Temporal Action Proposal Generation
Yueran Bai, Yingying Wang, Yunhai Tong +3
Temporal action proposal generation plays an important role in video action understanding, which requires localizing high-quality action content precisely. However, generating temp…
Preliminary prediction of the basic reproduction number of the Wuhan novel coronavirus 2019-nCoV
Tao Zhou, Quanhui Liu, Zimo Yang +5
Objectives.--To estimate the basic reproduction number of the Wuhan novel coronavirus (2019-nCoV). Methods.--Based on the susceptible-exposed-infected-removed (SEIR) compartment mo…
Fast Color-guided Depth Denoising for RGB-D Images by Graph Filtering
Qiwei Huang, Ruikang Li, Zidong Jiang +4
Depth images captured by off-the-shelf RGB-D cameras suffer from much stronger noise than color images. In this paper, we propose a method to denoise the depth images in RGB-D imag…