no code implementations • 7 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.
1 code implementation • 25 May 2023 • Liang Peng, Junkai Xu, Haoran Cheng, Zheng Yang, Xiaopei Wu, Wei Qian, Wenxiao Wang, Boxi Wu, Deng Cai
Monocular 3D detection is a challenging task due to the lack of accurate 3D information.
no code implementations • 14 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.
no code implementations • 26 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.
1 code implementation • 7 Aug 2022 • Honghui Yang, Zili Liu, Xiaopei Wu, Wenxiao Wang, Wei Qian, Xiaofei He, Deng Cai
The dynamic farthest voxel sampling is then applied to evenly sample the points.
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.
1 code implementation • 18 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).
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.
1 code implementation • 25 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.
no code implementations • 15 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