Search Results for author: XueWei Li

Found 8 papers, 0 papers with code

IDPL: Intra-subdomain adaptation adversarial learning segmentation method based on Dynamic Pseudo Labels

no code implementations7 Oct 2022 XueWei Li, Weilun Zhang, Jie Gao, Xuzhou Fu, Jian Yu

Secondly, the subdomain classifier module based on instance confidence is constructed, which can dynamically divide the target domain into easy and difficult subdomains according to the relative proportion of easy and difficult instances.

Pseudo Label Semantic Segmentation +2

Self-paced Multi-grained Cross-modal Interaction Modeling for Referring Expression Comprehension

no code implementations21 Apr 2022 Peihan Miao, Wei Su, Gaoang Wang, XueWei Li, Xi Li

As an important and challenging problem in vision-language tasks, referring expression comprehension (REC) generally requires a large amount of multi-grained information of visual and linguistic modalities to realize accurate reasoning.

Informativeness Referring Expression +1

Residual-guided Personalized Speech Synthesis based on Face Image

no code implementations1 Apr 2022 Jianrong Wang, Zixuan Wang, Xiaosheng Hu, XueWei Li, Qiang Fang, Li Liu

Experimental results show that the speech synthesized by our model is comparable to the personalized speech synthesized by training a large amount of audio data in previous works.

Speech Synthesis

Epoch-evolving Gaussian Process Guided Learning

no code implementations25 Jun 2020 Jiabao Cui, XueWei Li, Bin Li, Hanbin Zhao, Bourahla Omar, Xi Li

In this paper, we propose a novel learning scheme called epoch-evolving Gaussian Process Guided Learning (GPGL), which aims at characterizing the correlation information between the batch-level distribution and the global data distribution.

Self-Supervised Joint Learning Framework of Depth Estimation via Implicit Cues

no code implementations17 Jun 2020 Jianrong Wang, Ge Zhang, Zhen-Yu Wu, XueWei Li, Li Liu

Compared with static views, abundant dynamic properties between video frames are beneficial to refined depth estimation, especially for dynamic objects.

Monocular Depth Estimation

ResKD: Residual-Guided Knowledge Distillation

no code implementations8 Jun 2020 Xuewei Li, Songyuan Li, Bourahla Omar, Fei Wu, Xi Li

In this paper, we see knowledge distillation in a fresh light, using the knowledge gap, or the residual, between a teacher and a student as guidance to train a much more lightweight student, called a res-student.

Knowledge Distillation

Scene Learning: Deep Convolutional Networks For Wind Power Prediction by Embedding Turbines into Grid Space

no code implementations16 Jul 2018 Ruiguo Yu, Zhi-Qiang Liu, Xuewei Li, Wenhuan Lu, Mei Yu, Jianrong Wang, Bin Li

There have been a lot of researches based on the time series of the wind power or speed, but In fact, these time series cannot express the temporal and spatial changes of wind, which fundamentally hinders the advance of wind power prediction.

Time Series Analysis

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