Search Results for author: Cheng Wen

Found 10 papers, 3 papers with code

ChatHome: Development and Evaluation of a Domain-Specific Language Model for Home Renovation

1 code implementation28 Jul 2023 Cheng Wen, Xianghui Sun, Shuaijiang Zhao, Xiaoquan Fang, Liangyu Chen, Wei Zou

This paper presents the development and evaluation of ChatHome, a domain-specific language model (DSLM) designed for the intricate field of home renovation.

Language Modelling

Patch-Wise Point Cloud Generation: A Divide-and-Conquer Approach

1 code implementation22 Jul 2023 Cheng Wen, Baosheng Yu, Rao Fu, DaCheng Tao

A generative model for high-fidelity point clouds is of great importance in synthesizing 3d environments for applications such as autonomous driving and robotics.

Autonomous Driving Point Cloud Generation

BPNet: Bézier Primitive Segmentation on 3D Point Clouds

1 code implementation8 Jul 2023 Rao Fu, Cheng Wen, Qian Li, Xiao Xiao, Pierre Alliez

This paper proposes BPNet, a novel end-to-end deep learning framework to learn B\'ezier primitive segmentation on 3D point clouds.

Point Cloud Segmentation Segmentation

PointWavelet: Learning in Spectral Domain for 3D Point Cloud Analysis

no code implementations10 Feb 2023 Cheng Wen, Jianzhi Long, Baosheng Yu, DaCheng Tao

In this paper, we introduce a new method, PointWavelet, to explore local graphs in the spectral domain via a learnable graph wavelet transform.

Autonomous Driving Point Cloud Classification

Learnable Skeleton-Aware 3D Point Cloud Sampling

no code implementations CVPR 2023 Cheng Wen, Baosheng Yu, DaCheng Tao

In this paper, we introduce a new skeleton-aware learning-to-sample method by learning object skeletons as the prior knowledge to preserve the object geometry and topology information during sampling.

Object Point Cloud Classification +1

Audio Deep Fake Detection System with Neural Stitching for ADD 2022

no code implementations19 Apr 2022 Rui Yan, Cheng Wen, Shuran Zhou, Tingwei Guo, Wei Zou, Xiangang Li

This paper describes our best system and methodology for ADD 2022: The First Audio Deep Synthesis Detection Challenge\cite{Yi2022ADD}.

Voice Conversion

Time Domain Adversarial Voice Conversion for ADD 2022

no code implementations19 Apr 2022 Cheng Wen, Tingwei Guo, Xingjun Tan, Rui Yan, Shuran Zhou, Chuandong Xie, Wei Zou, Xiangang Li

In this paper, we describe our speech generation system for the first Audio Deep Synthesis Detection Challenge (ADD 2022).

Voice Conversion

Learning Progressive Point Embeddings for 3D Point Cloud Generation

no code implementations CVPR 2021 Cheng Wen, Baosheng Yu, DaCheng Tao

The proposed dual-generators framework thus is able to progressively learn effective point embeddings for accurate point cloud generation.

Autonomous Driving Object Reconstruction +2

DiDiSpeech: A Large Scale Mandarin Speech Corpus

no code implementations19 Oct 2020 Tingwei Guo, Cheng Wen, Dongwei Jiang, Ne Luo, Ruixiong Zhang, Shuaijiang Zhao, Wubo Li, Cheng Gong, Wei Zou, Kun Han, Xiangang Li

This paper introduces a new open-sourced Mandarin speech corpus, called DiDiSpeech.

Audio and Speech Processing

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