Search Results for author: Xiaopei Wu

Found 10 papers, 6 papers with code

DGSD: Dynamical Graph Self-Distillation for EEG-Based Auditory Spatial Attention Detection

no code implementations7 Sep 2023 Cunhang Fan, Hongyu Zhang, Wei Huang, Jun Xue, JianHua Tao, Jiangyan Yi, Zhao Lv, Xiaopei Wu

Specifically, to effectively represent the non-Euclidean properties of EEG signals, dynamical graph convolutional networks are applied to represent the graph structure of EEG signals, which can also extract crucial features related to auditory spatial attention in EEG signals.

EEG

Boosting Semi-Supervised 3D Object Detection with Semi-Sampling

no code implementations14 Nov 2022 Xiaopei Wu, Yang Zhao, Liang Peng, Hua Chen, Xiaoshui Huang, Binbin Lin, Haifeng Liu, Deng Cai, Wanli Ouyang

When training a teacher-student semi-supervised framework, we randomly select gt samples and pseudo samples to both labeled frames and unlabeled frames, making a strong data augmentation for them.

3D Object Detection Data Augmentation +2

Pronunciation Generation for Foreign Language Words in Intra-Sentential Code-Switching Speech Recognition

no code implementations26 Oct 2022 Wei Wang, Chao Zhang, Xiaopei Wu

In this paper, we make use of limited code-switching data as driving materials and explore a shortcut to quickly develop intra-sentential code-switching recognition skill on the commissioned native language acoustic model, where we propose a data-driven method to make the seed lexicon which is used to train grapheme-to-phoneme model to predict mapping pronunciations for foreign language word in code-switching sentences.

Sentence speech-recognition +1

DETRs with Hybrid Matching

8 code implementations CVPR 2023 Ding Jia, Yuhui Yuan, Haodi He, Xiaopei Wu, Haojun Yu, WeiHong Lin, Lei Sun, Chao Zhang, Han Hu

One-to-one set matching is a key design for DETR to establish its end-to-end capability, so that object detection does not require a hand-crafted NMS (non-maximum suppression) to remove duplicate detections.

Object Detection Pose Estimation +2

DID-M3D: Decoupling Instance Depth for Monocular 3D Object Detection

1 code implementation18 Jul 2022 Liang Peng, Xiaopei Wu, Zheng Yang, Haifeng Liu, Deng Cai

Therefore, we propose to reformulate the instance depth to the combination of the instance visual surface depth (visual depth) and the instance attribute depth (attribute depth).

Attribute Data Augmentation +4

Sparse Fuse Dense: Towards High Quality 3D Detection with Depth Completion

1 code implementation CVPR 2022 Xiaopei Wu, Liang Peng, Honghui Yang, Liang Xie, Chenxi Huang, Chengqi Deng, Haifeng Liu, Deng Cai

Many multi-modal methods are proposed to alleviate this issue, while different representations of images and point clouds make it difficult to fuse them, resulting in suboptimal performance.

3D Object Detection Data Augmentation +3

Deep Discriminative Feature Learning for Accent Recognition

1 code implementation25 Nov 2020 Wei Wang, Chao Zhang, Xiaopei Wu

Accent recognition with deep learning framework is a similar work to deep speaker identification, they're both expected to give the input speech an identifiable representation.

Face Recognition Speaker Identification +3

CAVBench: A Benchmark Suite for Connected and Autonomous Vehicles

no code implementations15 Oct 2018 Yifan Wang, Shaoshan Liu, Xiaopei Wu, Weisong Shi

Meanwhile, several pioneer efforts have focused on the edge computing system and architecture design for the CAVs scenario and provided various heterogeneous platform prototypes for CAVs.

Distributed, Parallel, and Cluster Computing Performance

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