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Author details

Yuxin Dong

Publications

9

Citations

17

Publications by Year

20222025

Co-Authors:

Fei ChenJiajing ChenHong ChenQiantai ChenHang Cheng

Show All Co-Authors (24)

Yuxin Dong

Affiliation

School of Computer Science and Technology

Xi’an Jiaotong University

Xi’an, China

Publication Topics

Convergence Rate,
Graph Neural Networks,
Approximate Entropy,
Conditional Mutual Information,
Estimation Algorithm,
Graph-based Models,
Integer Order,
Large-scale Simulations,
Machine Learning Tasks,
Matrix Multiplication,
Model Performance,
Mutual Information

Biography

Yuxin Dong received the B.E. and Ph.D. degrees in computer science and technology from Xi’an Jiaotong University, Xi’an, China, in 2019 and 2024, respectively. His research interests include information theory, statistical learning theory, and bioinformatics.(Based on document published on 17 January 2025).

Publications

9

Citations

17

Publications by Year

20222025

Co-Authors:

Fei Chen
Jiajing Chen
Hong Chen
Qiantai Chen
Hang Cheng

Show All Co-Authors (24)

Author's Published Works

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Showing 1-25 of 4,441 resultsfor "Index Terms":Mirror Symmetry

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The role of global configuration in detection of mirror and translational symmetries

Kentaro Yamamoto;Kanji Tanaka;Katsumi Watanabe

2015 7th International Conference on Knowledge and Smart Technology (KST)

Year: 2015 | Conference Paper |

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Mirror symmetry is known as a special case of symmetric patterns because of its superior detectability. This study examined whether the perceptual advantage of mirror symmetry is maintained despite the absence of perfect symmetry. We manipulated the alignment of symmetric patterns by adding a vertical offset between left and right halves of them. We found that regularity of mirror symmetry was bet...Show More

The role of global configuration in detection of mirror and translational symmetries

Kentaro Yamamoto;Kanji Tanaka;Katsumi Watanabe

2015 7th International Conference on Knowledge and Smart Technology (KST)

Year: 2015 | Conference Paper |

Detection of symmetric features in images

2013 36th International Conference on Telecommunications and Signal Processing (TSP)

Year: 2013 | Conference Paper |

Cited by: Papers (1)

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Features detection plays a significant role in many computer vision tasks. There exist a plenty of various methods for features detection in an image processing domain. Symmetric features form a substantial class of them which takes an advantage of robust approach and fast implementation. In this paper a basic concept of a mirror and rotational symmetry is introduced and several implementation asp...Show More

Detection of symmetric features in images

2013 36th International Conference on Telecommunications and Signal Processing (TSP)

Year: 2013 | Conference Paper |

Detecting 3-D Mirror Symmetry in a 2-D Camera Image for 3-D Shape Recovery

Tadamasa Sawada;Yunfeng Li;Zygmunt Pizlo

Proceedings of the IEEE

Year: 2014 | Volume: 102, Issue: 10 | Journal Article |

Cited by: Papers (16)

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In this paper, we take up the long-standing problem of how to recover 3-D shapes represented by a 2-D image, such as the image on the retina of the eye, or in a video camera. Our approach is biologically grounded in a theory of how the human visual system solves this problem, focusing on shapes that are mirror symmetrical in 3-D. A 3-D mirror-symmetrical shape can be recovered from a single 2-D or...Show More

Detecting 3-D Mirror Symmetry in a 2-D Camera Image for 3-D Shape Recovery

Tadamasa Sawada;Yunfeng Li;Zygmunt Pizlo

Proceedings of the IEEE

Year: 2014 | Volume: 102, Issue: 10 | Journal Article |

Multi-scale reflection invariance

Craig Henderson;Ebroul Izquierdo

2016 SAI Computing Conference (SAI)

Year: 2016 | Conference Paper |

Cited by: Papers (1)

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In this position paper, we consider the state of computer vision research with respect to invariance to the horizontal orientation of an image - what we term reflection invariance. We describe why we consider reflection invariance to be an important property and provide evidence where the absence of this invariance produces surprising inconsistencies in state-of-the-art systems. We demonstrate inc...Show More

Multi-scale reflection invariance

Craig Henderson;Ebroul Izquierdo

2016 SAI Computing Conference (SAI)

Year: 2016 | Conference Paper |

Identification of symmetry planes in weakly anisotropic elastic media

Geophysical Journal International

Year: 2007 | Volume: 170, Issue: 1 | Journal Article |

A procedure is proposed to obtain symmetry properties of weakly anisotropic (WA) elastic media by giving 15 WA parameters of qP wave in an arbitrary Cartesian coordinate system. The 15 WA parameters, which linearly depend on 21 elastic elements, form a complete set to determine the symmetry planes in WA materials. The procedure is based on the eigenvalue problems of two matrices. One of the matric...Show More

Identification of symmetry planes in weakly anisotropic elastic media

Geophysical Journal International

Year: 2007 | Volume: 170, Issue: 1 | Journal Article |

The Numerical Measure of Symmetry for 3D Stick Creatures

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Artificial Life

Year: 2008 | Volume: 14, Issue: 4 | Journal Article |

This work introduces a numerical, continuous measure of symmetry for 3D stick creatures and solid 3D objects. Background information about the property of symmetry is provided, and motivations for developing a symmetry measure are described. Three approaches are mentioned, and two of them are presented in detail using formal mathematical language. The best approach is used to sort a set of creatur...Show More

The Numerical Measure of Symmetry for 3D Stick Creatures

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Artificial Life

Year: 2008 | Volume: 14, Issue: 4 | Journal Article |

Symmetry incorporated fuzzy c-means method for image segmentation

Surani Anuradha Jayasuriya;Alan Wee-Chung Liew

2013 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)

Year: 2013 | Conference Paper |

Cited by: Papers (6)

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This paper presents a new modified fuzzy c-means (FCM) clustering algorithm that exploits bilateral symmetry information in image data. With the assumption of pixels that are located symmetrically tend to have similar intensity values; we compute the degree of symmetry for each pixel with respect to a global symmetry axis of the image. This information is integrated into the objective function of ...Show More

Symmetry incorporated fuzzy c-means method for image segmentation

Surani Anuradha Jayasuriya;Alan Wee-Chung Liew

2013 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)

Year: 2013 | Conference Paper |

Reflection Symmetry Detection Using Locally Affine Invariant Edge Correspondence

Zhaozhong Wang;Zesheng Tang;Xiao Zhang

IEEE Transactions on Image Processing

Year: 2015 | Volume: 24, Issue: 4 | Journal Article |

Cited by: Papers (39)

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Reflection symmetry detection receives increasing attentions in recent years. The state-of-the-art algorithms mainly use the matching of intensity-based features (such as the SIFT) within a single image to find symmetry axes. This paper proposes a novel approach by establishing the correspondence of locally affine invariant edge-based features, which are superior to the intensity based in the aspe...Show More

Reflection Symmetry Detection Using Locally Affine Invariant Edge Correspondence

Zhaozhong Wang;Zesheng Tang;Xiao Zhang

IEEE Transactions on Image Processing

Year: 2015 | Volume: 24, Issue: 4 | Journal Article |

Recognition of Symmetry Structure by Use of Gestalt Algebra

Eckart Michaelsen;David Muench;Michael Arens

2013 IEEE Conference on Computer Vision and Pattern Recognition Workshops

Year: 2013 | Conference Paper |

Cited by: Papers (20)

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While most approaches to symmetry detection in machine vision try to explain the gray-values or colors of the pixels, Gestalt algebra has no room for such measurement data. The entities (i.e. Gestalten) are only defined with respect to each other. They form a generic hierarchy, and live in a continuous domain without any pixel raster. There is also no constraint forcing them to completely fill an ...Show More

Recognition of Symmetry Structure by Use of Gestalt Algebra

Eckart Michaelsen;David Muench;Michael Arens

2013 IEEE Conference on Computer Vision and Pattern Recognition Workshops

Year: 2013 | Conference Paper |

Evolving plural programs by genetic network programming with multi-start nodes

Shingo Mabu;Kotaro Hirasawa

2009 IEEE International Conference on Systems, Man and Cybernetics

Year: 2009 | Conference Paper |

Cited by: Papers (5)

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Automatic program generation is one of the applicable fields of evolutionary computation, and genetic programming (GP) is the typical method for this field. On the other hand, genetic network programming (GNP) has been proposed as an extended algorithm of GP in terms of gene structures. GNP is a graph-based evolutionary algorithm and applied to automatic program generation in this paper. GNP has d...Show More

Evolving plural programs by genetic network programming with multi-start nodes

Shingo Mabu;Kotaro Hirasawa

2009 IEEE International Conference on Systems, Man and Cybernetics

Year: 2009 | Conference Paper |

Mirror Symmetry in Integral Formulations for Eddy Currents

Mauro Passarotto;Daniel Klis;Oliver Rain;Ruben Specogna

IEEE Transactions on Magnetics

Year: 2021 | Volume: 57, Issue: 6 | Journal Article |

Cited by: Papers (1)

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This contribution addresses the exploitation of mirror symmetry (formally, the abelian D1 and D2 dihedral symmetry groups) in various integral formulations for eddy current problems. The novelty of the contribution is in particular how to rigorously treat non-simply-connected conductors when computing the first cohomology group generators on the symmetry cell of the problem only.Show More

Mirror Symmetry in Integral Formulations for Eddy Currents

Mauro Passarotto;Daniel Klis;Oliver Rain;Ruben Specogna

IEEE Transactions on Magnetics

Year: 2021 | Volume: 57, Issue: 6 | Journal Article |

Reflection Symmetry-Integrated Image Segmentation

Yu Sun;Bir Bhanu

IEEE Transactions on Pattern Analysis and Machine Intelligence

Year: 2012 | Volume: 34, Issue: 9 | Journal Article |

Cited by: Papers (21)

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This paper presents a new symmetry-integrated region-based image segmentation method. The method is developed to obtain improved image segmentation by exploiting image symmetry. It is realized by constructing a symmetry token that can be flexibly embedded into segmentation cues. Interesting points are initially extracted from an image by the SIFT operator and they are further refined for detecting...Show More

Reflection Symmetry-Integrated Image Segmentation

Yu Sun;Bir Bhanu

IEEE Transactions on Pattern Analysis and Machine Intelligence

Year: 2012 | Volume: 34, Issue: 9 | Journal Article |

Using Machine Learning to Detect Rotational Symmetries from Reflectional Symmetries in 2D Images

Koen Ponse;Anna V. Kononova;Maria Loleyt;Bas Van Stein

2021 IEEE Symposium Series on Computational Intelligence (SSCI)

Year: 2021 | Conference Paper |

Cited by: Papers (2)

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Automated symmetry detection is still a difficult task in 2021. However, it has applications in computer vision, and it also plays an important part in understanding art. This paper focuses on aiding the latter by comparing different state-of-the-art automated symmetry detection algorithms. For one of such algorithms aimed at reflectional symmetries, we propose postprocessing improvements to find ...Show More

Using Machine Learning to Detect Rotational Symmetries from Reflectional Symmetries in 2D Images

Koen Ponse;Anna V. Kononova;Maria Loleyt;Bas Van Stein

2021 IEEE Symposium Series on Computational Intelligence (SSCI)

Year: 2021 | Conference Paper |

Reflection Symmetry Axes Detection Using Multiple Model Fitting

Rajendra Nagar;Shanmuganathan Raman

IEEE Signal Processing Letters

Year: 2017 | Volume: 24, Issue: 10 | Journal Article |

Cited by: Papers (9)

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We propose an energy minimization approach to detect multiple reflection symmetry axes present in a given image representing fronto-parallel view of a scene. We perform local feature matching to detect the pairs of mirror symmetric points, and in order to formulate an energy function, we use the geometric characteristics of the symmetry axis. That is, it passes through the midpoint of line segment...Show More

Reflection Symmetry Axes Detection Using Multiple Model Fitting

Rajendra Nagar;Shanmuganathan Raman

IEEE Signal Processing Letters

Year: 2017 | Volume: 24, Issue: 10 | Journal Article |

Reflection Symmetry Detection by Embedding Symmetry in a Graph

Rajendra Nagar;Shanmuganathan Raman

ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

Year: 2019 | Conference Paper |

Cited by: Papers (3)

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Reflection symmetry is ubiquitous in nature and plays an important role in object detection and recognition tasks. Most of the existing methods for symmetry detection extract and describe each keypoint using a descriptor and a mirrored descriptor. Two keypoints are said to be mirror symmetric key-points if the original descriptor of one keypoint and the mirrored descriptor of the other keypoint ar...Show More

Reflection Symmetry Detection by Embedding Symmetry in a Graph

Rajendra Nagar;Shanmuganathan Raman

ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

Year: 2019 | Conference Paper |

Skewed Rotation Symmetry Group Detection

Seungkyu Lee;Yanxi Liu

IEEE Transactions on Pattern Analysis and Machine Intelligence

Year: 2010 | Volume: 32, Issue: 9 | Journal Article |

Cited by: Papers (36)

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We present a novel and effective algorithm for affinely skewed rotation symmetry group detection from real-world images. We define a complete skewed rotation symmetry detection problem as discovering five independent properties of a skewed rotation symmetry group: 1) the center of rotation, 2) the affine deformation, 3) the type of the symmetry group, 4) the cardinality of the symmetry group, and ...Show More

Skewed Rotation Symmetry Group Detection

Seungkyu Lee;Yanxi Liu

IEEE Transactions on Pattern Analysis and Machine Intelligence

Year: 2010 | Volume: 32, Issue: 9 | Journal Article |

Symmetry Constraint for Foreground Extraction

Huazhu Fu;Xiaochun Cao;Zhuowen Tu;Dongdai Lin

IEEE Transactions on Cybernetics

Year: 2014 | Volume: 44, Issue: 5 | Journal Article |

Cited by: Papers (13)

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Symmetry as an intrinsic shape property is often observed in natural objects. In this paper, we discuss how explicitly taking into account the symmetry constraint can enhance the quality of foreground object extraction. In our method, a symmetry foreground map is used to represent the symmetry structure of the image, which includes the symmetry matching magnitude and the foreground location prior....Show More

Symmetry Constraint for Foreground Extraction

Huazhu Fu;Xiaochun Cao;Zhuowen Tu;Dongdai Lin

IEEE Transactions on Cybernetics

Year: 2014 | Volume: 44, Issue: 5 | Journal Article |

On Classification Approaches for Crystallographic Symmetries of Noisy 2D Periodic Patterns

IEEE Transactions on Nanotechnology

Year: 2019 | Volume: 18 | Journal Article |

Cited by: Papers (11)

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The analytical classification approaches for the crystallographic symmetries of patterns that are more or less periodic in two dimensions (2D) are reviewed. Pseudo-symmetries of different types, which are not rare as far as 2D projections from three-dimensional (3D) crystals are concerned, are briefly mentioned as they present severe challenges to most classification approaches when noise levels a...Show More

On Classification Approaches for Crystallographic Symmetries of Noisy 2D Periodic Patterns

IEEE Transactions on Nanotechnology

Year: 2019 | Volume: 18 | Journal Article |

3D reconstruction from a single view of an object and its image in a plane mirror

Z.Y. Zhang;H.T. Tsui

Proceedings. Fourteenth International Conference on Pattern Recognition (Cat. No.98EX170)

Year: 1998 | Conference Paper |

Cited by: Papers (22) | Patents (7)

An arbitrary object and its image in a plane mirror constitute a bilaterally symmetric structure. When the structure is viewed by a single camera, the correspondence between the object and its counterpart in the mirror is auto-epipolar in one image taken by the camera and can be computed in a way similar to that for stereo vision. The 3D structure of the object is therefore recoverable from the si...Show More

3D reconstruction from a single view of an object and its image in a plane mirror

Z.Y. Zhang;H.T. Tsui

Proceedings. Fourteenth International Conference on Pattern Recognition (Cat. No.98EX170)

Year: 1998 | Volume: 2 | Conference Paper |

Perturbation of the complex natural frequencies of an object by a minor object

C.E. Baum;T.H. Shumpert;L.S. Riggs

1988 IEEE AP-S. International Symposium, Antennas and Propagation

Year: 1988 | Conference Paper |

The authors consider an object with its mirror image, i.e. two objects symmetrical with respect to a plane. A symmetry plane implies that the electromagnetic scattering divides into two noninteracting parts, denoted symmetric and antisymmetric. The antisymmetric part also applies to the case in which this symmetry plane is replaced by a perfectly conducting plane with no mirror object present. The...

First Page of the Article

Perturbation of the complex natural frequencies of an object by a minor object

C.E. Baum;T.H. Shumpert;L.S. Riggs

1988 IEEE AP-S. International Symposium, Antennas and Propagation

Year: 1988 | Conference Paper |

Rigorous Modal Characterization of First- and Second-Order Symmetric Waveguides Using Specular Periodic Boundary Conditions in 2D-FEM

Gines Garcia-Contreras;Juan Córcoles;Jorge A. Ruiz-Cruz

IEEE Transactions on Antennas and Propagation

Year: 2022 | Volume: 70, Issue: 11 | Journal Article |

Cited by: Papers (8)

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Symmetries are widely exploited in the electromagnetic characterization of millimeter-wave devices and antennas, as they usually bring an improvement in resource usage and accuracy in full-wave simulations. Given the rising relevance of higher order symmetric devices, a challenge of integrating many different symmetries into compact formulations appears, with the objective of finding synergies and...Show More

Rigorous Modal Characterization of First- and Second-Order Symmetric Waveguides Using Specular Periodic Boundary Conditions in 2D-FEM

Gines Garcia-Contreras;Juan Córcoles;Jorge A. Ruiz-Cruz

IEEE Transactions on Antennas and Propagation

Year: 2022 | Volume: 70, Issue: 11 | Journal Article |

Inversion Symmetry of the Euclidean Group: Theory and Application to Robot Kinematics

Yuanqing Wu;Harald Löwe;Marco Carricato;Zexiang Li

IEEE Transactions on Robotics

Year: 2016 | Volume: 32, Issue: 2 | Journal Article |

Cited by: Papers (35)

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Just as the 3-D Euclidean space can be inverted through any of its points, the special Euclidean group SE(3) admits an inversion symmetry through any of its elements and is known to be a symmetric space. In this paper, we show that the symmetric submanifolds of SE(3) can be systematically exploited to study the kinematics of a variety of kinesiological and mechanical systems and, therefore, have m...Show More

Inversion Symmetry of the Euclidean Group: Theory and Application to Robot Kinematics

Yuanqing Wu;Harald Löwe;Marco Carricato;Zexiang Li

IEEE Transactions on Robotics

Year: 2016 | Volume: 32, Issue: 2 | Journal Article |

Benefits of Mirror Weight Symmetry for 3D Mesh Segmentation in Biomedical Applications

Vladislav Dordiuk;Maksim Dzhigil;Konstantin Ushenin

2023 IEEE Ural-Siberian Conference on Computational Technologies in Cognitive Science, Genomics and Biomedicine (CSGB)

Year: 2023 | Conference Paper |

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3D mesh segmentation is an important task with many biomedical applications. The human body has bilateral symmetry and some variations in organ positions. It allows us to expect a positive effect of rotation and inversion invariant layers in convolutional neural networks that perform biomedical segmentations. In this study, we show the impact of weight symmetry in neural networks that perform 3D m...Show More

Benefits of Mirror Weight Symmetry for 3D Mesh Segmentation in Biomedical Applications

Vladislav Dordiuk;Maksim Dzhigil;Konstantin Ushenin

2023 IEEE Ural-Siberian Conference on Computational Technologies in Cognitive Science, Genomics and Biomedicine (CSGB)

Year: 2023 | Conference Paper |

Revealing Hidden 3-D Reflection Symmetry

Rajendra Nagar;Shanmuganathan Raman

IEEE Signal Processing Letters

Year: 2016 | Volume: 23, Issue: 12 | Journal Article |

Cited by: Papers (3)

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Reflection symmetry is present in most of the man-made or naturally formed objects. In computer vision, real-world scenes are represented by dense 3-D models or by 2-D projections, such as images captured by cameras. Most of the existing methods either detect reflection symmetry from dense 3-D models or 2-D projections. However, generating a dense 3-D model is a computationally expensive process a...Show More

Revealing Hidden 3-D Reflection Symmetry

Rajendra Nagar;Shanmuganathan Raman

IEEE Signal Processing Letters

Year: 2016 | Volume: 23, Issue: 12 | Journal Article |

Detecting image symmetry based on phase information

Jun Wu;Zhao-Xuan Yang

2005 International Conference on Machine Learning and Cybernetics

Year: 2005 | Conference Paper |

Cited by: Papers (3)

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Traditional methods for detecting symmetry in image suffered from the contrast of image and noise, and they all needed some preprocessing; for images including many objects, they must segment them to detect the symmetry of each object. This paper presents a new method of image symmetry detection. Instead of gradient information, it used phase information of original image. Phase information is sta...Show More

Detecting image symmetry based on phase information

Jun Wu;Zhao-Xuan Yang

2005 International Conference on Machine Learning and Cybernetics

Year: 2005 | Volume: 8 | Conference Paper |

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