Search Results for author: Ping Guo

Found 13 papers, 2 papers with code

CLSEG: Contrastive Learning of Story Ending Generation

1 code implementation18 Feb 2022 Yuqiang Xie, Yue Hu, Luxi Xing, Yunpeng Li, Wei Peng, Ping Guo

To address these two issues, we propose a novel Contrastive Learning framework for Story Ending Generation (CLSEG), which has two steps: multi-aspect sampling and story-specific contrastive learning.

Contrastive Learning Text Generation

Deep DIC: Deep Learning-Based Digital Image Correlation for End-to-End Displacement and Strain Measurement

no code implementations26 Oct 2021 Ru Yang, Yang Li, Danielle Zeng, Ping Guo

StrainNet predicts the strain field directly from the image input without relying on the displacement prediction, which significantly improves the strain prediction accuracy.

Continual Neural Mapping: Learning An Implicit Scene Representation from Sequential Observations

no code implementations ICCV 2021 Zike Yan, Yuxin Tian, Xuesong Shi, Ping Guo, Peng Wang, Hongbin Zha

We introduce an experience replay approach to tackle an exemplary task of continual neural mapping: approximating a continuous signed distance function (SDF) from sequential depth images as a scene geometry representation.

Continual Learning

Partial Differential Equations is All You Need for Generating Neural Architectures -- A Theory for Physical Artificial Intelligence Systems

no code implementations10 Mar 2021 Ping Guo, Kaizhu Huang, Zenglin Xu

In this work, we generalize the reaction-diffusion equation in statistical physics, Schr\"odinger equation in quantum mechanics, Helmholtz equation in paraxial optics into the neural partial differential equations (NPDE), which can be considered as the fundamental equations in the field of artificial intelligence research.

RaP-Net: A Region-wise and Point-wise Weighting Network to Extract Robust Features for Indoor Localization

1 code implementation1 Dec 2020 Dongjiang Li, Jinyu Miao, Xuesong Shi, Yuxin Tian, Qiwei Long, Tianyu Cai, Ping Guo, Hongfei Yu, Wei Yang, Haosong Yue, Qi Wei, Fei Qiao

Experimental results show that the proposed RaP-Net trained with OpenLORIS-Location dataset achieves excellent performance in the feature matching task and significantly outperforms state-of-the-arts feature algorithms in indoor localization.

Indoor Localization Visual Localization

Synergetic Learning Systems: Concept, Architecture, and Algorithms

no code implementations31 May 2020 Ping Guo, Qian Yin

Drawing on the idea that brain development is a Darwinian process of ``evolution + selection'' and the idea that the current state is a local equilibrium state of many bodies with self-organization and evolution processes driven by the temperature and gravity in our universe, in this work, we describe an artificial intelligence system called the ``Synergetic Learning Systems''.

Decision Making

Two-dimensional Multi-fiber Spectrum Image Correction Based on Machine Learning Techniques

no code implementations16 Feb 2020 Jiali Xu, Qian Yin, Ping Guo, Xin Zheng

At the same time, the spectrum extraction results before and after calibration are compared, results show the characteristics of the extracted one-dimensional waveform are more close to an ideal optics system, and the PSF of the corrected object spectrum image estimated by the blind deconvolution method is nearly central symmetry, which indicates that our proposed method can significantly reduce the complexity of spectrum extraction and improve extraction accuracy.

A Spectral Nonlocal Block for Neural Networks

no code implementations4 Nov 2019 Lei Zhu, Qi She, Lidan Zhang, Ping Guo

The nonlocal-based blocks are designed for capturing long-range spatial-temporal dependencies in computer vision tasks.

Action Recognition Fine-Grained Image Classification +2

Spectral Nonlocal Block for Neural Network

no code implementations25 Sep 2019 Lei Zhu, Qi She, Lidan Zhang, Ping Guo

The nonlocal network is designed for capturing long-range spatial-temporal dependencies in several computer vision tasks.

Video Classification

Stochastic trajectory prediction with social graph network

no code implementations24 Jul 2019 Lidan Zhang, Qi She, Ping Guo

For the second issue, instead of modeling the uncertainty of the entire future as a whole, we utilize a temporal stochastic method for sequentially learning a prior model of uncertainty during social interactions.

Pedestrian Trajectory Prediction Trajectory Prediction

A VEST of the Pseudoinverse Learning Algorithm

no code implementations20 May 2018 Ping Guo

In this paper, we briefly review the basic scheme of the pseudoinverse learning (PIL) algorithm and present some discussions on the PIL, as well as its variants.

Pulsar Candidate Identification with Artificial Intelligence Techniques

no code implementations27 Nov 2017 Ping Guo, Fuqing Duan, Pei Wang, Yao Yao, Qian Yin, Xin Xin

To address these problems, we proposed a framework which combines deep convolution generative adversarial network (DCGAN) with support vector machine (SVM) to deal with imbalance class problem and to improve pulsar identification accuracy.

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