1 code implementation • ICCV 2023 • Zhe Zhu, Honghua Chen, Xing He, Weiming Wang, Jing Qin, Mingqiang Wei
In this paper, we propose a novel network, SVDFormer, to tackle two specific challenges in point cloud completion: understanding faithful global shapes from incomplete point clouds and generating high-accuracy local structures.
1 code implementation • 30 Jan 2023 • Xuan Xia, Weijie Lv, Xing He, Nan Li, Chuanqi Liu, Ning Ding
Moreover, we designed a backbone knowledge distillation structure to extract prior knowledge contained in normal samples.
1 code implementation • Interspeech 2023 • Chunhui Wang, Chang Zeng, Xing He
XiaoiceSing is a singing voice synthesis (SVS) system that aims at generating 48kHz singing voices.
1 code implementation • 23 Oct 2022 • Chunhui Wang, Chang Zeng, Jun Chen, Xing He
Entertainment-oriented singing voice synthesis (SVS) requires a vocoder to generate high-fidelity (e. g. 48kHz) audio.
no code implementations • 27 Jul 2021 • Xuan Xia, Xizhou Pan, Xing He, Jingfei Zhang, Ning Ding, Lin Ma
As a kind of generative self-supervised learning methods, generative adversarial nets have been widely studied in the field of anomaly detection.
no code implementations • 5 Apr 2020 • Xing He, Shengmei Zhao, Le Wang
We present a ghost handwritten digit recognition method for the unknown handwritten digits based on ghost imaging (GI) with deep neural network, where a few detection signals from the bucket detector, generated by the Cosine Transform speckle, are used as the characteristic information and the input of the designed deep neural network (DNN), and the classification is designed as the output of the DNN.
no code implementations • 27 Aug 2018 • Xin Shi, Robert Qiu, Tiebin Mi, Xing He, Yongli Zhu
(2) operational risk assessment.
no code implementations • 31 Jul 2018 • Zenan Ling, Xing He, Robert C. Qiu
We revisit the initialization of deep residual networks (ResNets) by introducing a novel analytical tool in free probability to the community of deep learning.
no code implementations • 16 Jan 2018 • Zenan Ling, Robert C. Qiu, Zhijian Jin, Yuhang Zhang, Xing He, Haichun Liu, Lei Chu
The location of broken insulators in aerial images is a challenging task.
no code implementations • 31 Jan 2015 • Xing He, Robert Caiming Qiu, Qian Ai, Yinshuang Cao, Jie Gu, Zhijian Jin
With the statistical procedure, the proposed method is universal and fast; moreover, it is robust against traditional EED challenges (such as error accumulations, spurious correlations, and even bad data in core area).