Xinye Dai - IEEE Xplore Author Profile

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Author details

Xinye Dai

Publications

2

Citations

5

Publications by Year

20232025

Co-Authors:

Yidong LouWeiwei SongWeiming TangYapeng WangYusheng Wang

Show All Co-Authors (6)

Xinye Dai

Affiliation

GNSS Research Center

Wuhan University

Wuhan, China

Publication Topics

Factor Graph,
Global Navigation Satellite System,
Light Detection And Ranging,
Planar Features,
Point Cloud,
Points In Plane,
Pose Estimation,
Rail Vehicle,
Railway Line,
Random Sample Consensus,
Simultaneous Localization And Mapping,
3D Point

Biography

Xinye Dai received the B.Eng. degree in surveying and mapping engineering from Suzhou University, Suzhou, Anhui Province, China, in 2017, and the M.S. degree in surveying and mapping engineering from Wuhan University, Wuhan, China, in 2020. He is currently pursuing the Ph.D. degree with the GNSS Research Center, Wuhan University, under the supervision of Prof. Weiming Tang and Weiwei Song.,He worked as a Software Engineer at Huawei, Shenzhen, Guangdong, China, from 2020 to 2022, where he was in charge of the application of mapping technology to communication base stations. His research interests include sensor fusion, simultaneous localization and mapping (SLAM) in industrial applications, and computer vision.(Based on document published on 20 June 2023).

Publications

2

Citations

5

Publications by Year

20232025

Co-Authors:

Yidong Lou
Weiwei Song
Weiming Tang
Yapeng Wang
Yusheng Wang

Show All Co-Authors (6)

Author's Published Works

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Showing 1-15 of 15 results

Conferences (13)

Journals (2)

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Gibran Benitez-Garcia(15)
Jesus Olivares-Mercado(6)
Hiroki Takahashi(6)
Keiji Yanai(4)
Gabriel Sanchez-Perez(3)
Graduate School of Informatics and Engineering, The University of Electro-Communications, Tokyo, Japan(4)
Department of Informatics, The University of Electro-Communications, Tokyo, Japan(3)
Instituto Politecnico Nacional, ESIME Culhuacan, Mexico City, Mexico(3)
Instituto Politécnico Nacional, Mexico City, Mexico(2)
The University of Electro-Communications, Tokyo, Japan(2)
2020 25th International Conference on Pattern Recognition (ICPR)(2)
2023 18th International Conference on Machine Vision and Applications (MVA)(2)
2023 38th International Conference on Image and Vision Computing New Zealand (IVCNZ)(2)
IEEE Transactions on Intelligent Transportation Systems(2)
2017 Fifteenth IAPR International Conference on Machine Vision Applications (MVA)(1)
IEEE(15)
Hamamatsu, Japan(2)
Milan, Italy(2)
Palmerston North, New Zealand(2)
Cancun, Mexico(1)
Jodhpur, India(1)
Convolutional Neural Network(9)
Feature Maps(8)
Training Set(6)
Convolutional Layers(5)
Continuous Recognition(4)

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Results

Automated Annotation Assistance for Pidgin Sign Japanese in Sign Language Recognition

Gibran Benitez-Garcia;Nobuko Kato;Yuhki Shiraishi;Hiroki Takahashi

2024 International Conference on Cyberworlds (CW)

Year: 2024 | Conference Paper |

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Japanese Sign Language (JSL) and Manually Coded Japanese (MCJ) are the two main forms of sign language used in Japan. The former differs significantly from spoken Japanese, while the latter closely aligns with spoken syntax. Pidgin Sign Japanese (PSJ) is an intermediate form that heavily relies on nonmanual signals such as facial expressions and head movements for grammatical nuances. Current sign...Show More

Automated Annotation Assistance for Pidgin Sign Japanese in Sign Language Recognition

Gibran Benitez-Garcia;Nobuko Kato;Yuhki Shiraishi;Hiroki Takahashi

2024 International Conference on Cyberworlds (CW)

Year: 2024 | Conference Paper |

ACENet: Attention-Driven Contextual Features-Enhanced Lightweight EfficientNet for 2D Hand Pose Estimation

Sartaj Ahmed Salman;Ali Zakir;Gibran Benitez-Garcia;Hiroki Takahashi

2023 38th International Conference on Image and Vision Computing New Zealand (IVCNZ)

Year: 2023 | Conference Paper |

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Computer Vision (CV) has seen remarkable advancements recently, but traditional input devices remain outdated, especially considering the critical role of hand movements in human interactions. This has prompted intensified research in Hand Pose Estimation (HPE) for applications ranging from gesture-controlled car systems to virtual reality. Despite deep learning’s success in HPE, challenges like h...Show More

ACENet: Attention-Driven Contextual Features-Enhanced Lightweight EfficientNet for 2D Hand Pose Estimation

Sartaj Ahmed Salman;Ali Zakir;Gibran Benitez-Garcia;Hiroki Takahashi

2023 38th International Conference on Image and Vision Computing New Zealand (IVCNZ)

Year: 2023 | Conference Paper |

AECA-PRNetCC: Adaptive Efficient Channel Attention-based PoseResNet for Coordinate Classification in 2D Human Pose

Ali Zakir;Sartaj Ahmed Salman;Gibran Benitez-Garcia;Hiroki Takahashi

2023 38th International Conference on Image and Vision Computing New Zealand (IVCNZ)

Year: 2023 | Conference Paper |

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In recent years, 2D Human Pose Estimation (HPE) has become increasingly significant in complex computer vision tasks, encompassing the understanding of human behavior and interactions. Although faced with challenges like occlusion, unfavorable lighting, and motion blur, deep learning techniques have revolutionized 2D HPE by enabling automatic feature learning from data and improving generalization...Show More

AECA-PRNetCC: Adaptive Efficient Channel Attention-based PoseResNet for Coordinate Classification in 2D Human Pose

Ali Zakir;Sartaj Ahmed Salman;Gibran Benitez-Garcia;Hiroki Takahashi

2023 38th International Conference on Image and Vision Computing New Zealand (IVCNZ)

Year: 2023 | Conference Paper |

Diabetic Retinopathy Grading based on a Sparse Network Fusion of Heterogeneous ConvNeXt Models with Category Attention

Agustin Castillo-Munguia;Gibran Benitez-Garcia;Jesus Olivares-Mercado;Hiroki Takahashi

2023 18th International Conference on Machine Vision and Applications (MVA)

Year: 2023 | Conference Paper |

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Diabetic retinopathy (DR) is an eye disease caused by high blood sugar levels that may damage vessels in the retina, leading to partial or complete loss of vision in later stages. In recent years, convolutional neural networks (CNN) have been used to help diagnose the DR severity. However, due to the slight differences between each class and the imbalanced nature of the datasets, standard CNNs oft...Show More

Diabetic Retinopathy Grading based on a Sparse Network Fusion of Heterogeneous ConvNeXt Models with Category Attention

Agustin Castillo-Munguia;Gibran Benitez-Garcia;Jesus Olivares-Mercado;Hiroki Takahashi

2023 18th International Conference on Machine Vision and Applications (MVA)

Year: 2023 | Conference Paper |

YOLOv5 with Mixed Backbone for Efficient Spatio-Temporal Hand Gesture Localization and Recognition

Luis Acevedo-Bringas;Gibran Benitez-Garcia;Jesus Olivares-Mercado;Hiroki Takahashi

2023 18th International Conference on Machine Vision and Applications (MVA)

Year: 2023 | Conference Paper |

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Spatio-temporal Hand Gesture Localization and Recognition (SHGLR) refers to analyzing the spatial and temporal aspects of hand movements for detecting and identifying hand gestures in a video. Current state-of-the-art approaches for SHGLR utilize large and complex architectures that result in a high computational cost. To address this issue, we present a new efficient method based on a mixed backb...Show More

YOLOv5 with Mixed Backbone for Efficient Spatio-Temporal Hand Gesture Localization and Recognition

Luis Acevedo-Bringas;Gibran Benitez-Garcia;Jesus Olivares-Mercado;Hiroki Takahashi

2023 18th International Conference on Machine Vision and Applications (MVA)

Year: 2023 | Conference Paper |

Deep Learning Algorithm for the People Identification Using their ECG Signals as a Biometric Parameter

Victor Rincon-Melchor;Mariko Nakano-Miyatake;Oswaldo Juarez-Sandoval;Jesus Olivares-Mercado;Jairo Moreno-Saenz;Gibran Benitez-Garcia

2023 46th International Conference on Telecommunications and Signal Processing (TSP)

Year: 2023 | Conference Paper |

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Reliable identification and authentication methods are a growing concern in various domains. Despite facial recognition, fingerprint and iris recognition being common options in the field of biometrics, their inherent vulnerabilities have led to exploration of new options. In particular, electrocardiogram (ECG) signals are gaining interest as a promising biometric feature due to its unique and dif...Show More

Deep Learning Algorithm for the People Identification Using their ECG Signals as a Biometric Parameter

Victor Rincon-Melchor;Mariko Nakano-Miyatake;Oswaldo Juarez-Sandoval;Jesus Olivares-Mercado;Jairo Moreno-Saenz;Gibran Benitez-Garcia

2023 46th International Conference on Telecommunications and Signal Processing (TSP)

Year: 2023 | Conference Paper |

FASSD-Net: Fast and Accurate Real-Time Semantic Segmentation for Embedded Systems

Leonel Rosas-Arias;Gibran Benitez-Garcia;Jose Portillo-Portillo;Jesus Olivares-Mercado;Gabriel Sanchez-Perez;Keiji Yanai

IEEE Transactions on Intelligent Transportation Systems

Year: 2022 | Volume: 23, Issue: 9 | Journal Article |

Cited by: Papers (21)

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Recent works of real-time semantic segmentation, remove or make use of light decoders from dense deep neural networks to achieve fast inference speed. This strategy helps to achieve real-time performance; however, the accuracy is significantly compromised in comparison to non-real-time methods. In this paper, we introduce two key modules aimed to design a high-performance decoder for real-time sem...Show More

FASSD-Net: Fast and Accurate Real-Time Semantic Segmentation for Embedded Systems

Leonel Rosas-Arias;Gibran Benitez-Garcia;Jose Portillo-Portillo;Jesus Olivares-Mercado;Gabriel Sanchez-Perez;Keiji Yanai

IEEE Transactions on Intelligent Transportation Systems

Year: 2022 | Volume: 23, Issue: 9 | Journal Article |

Continuous Finger Gesture Spotting and Recognition Based on Similarities Between Start and End Frames

Gibran Benitez-Garcia;Muhammad Haris;Yoshiyuki Tsuda;Norimichi Ukita

IEEE Transactions on Intelligent Transportation Systems

Year: 2022 | Volume: 23, Issue: 1 | Journal Article |

Cited by: Papers (8)

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Touchless in-car devices controlled by single and continuous finger gestures can provide comfort and safety on driving while manipulating secondary devices. Recognition of finger gestures is a challenging task due to (i) similarities between gesture and non-gesture frames, and (ii) the difficulty in identifying the temporal boundaries of continuous gestures. In addition, (iii) the intraclass varia...Show More

Continuous Finger Gesture Spotting and Recognition Based on Similarities Between Start and End Frames

Gibran Benitez-Garcia;Muhammad Haris;Yoshiyuki Tsuda;Norimichi Ukita

IEEE Transactions on Intelligent Transportation Systems

Year: 2022 | Volume: 23, Issue: 1 | Journal Article |

Masked Batch Normalization to Improve Tracking-Based Sign Language Recognition Using Graph Convolutional Networks

Natsuki Takayama;Gibran Benitez-Garcia;Hiroki Takahashi

2021 16th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2021)

Year: 2021 | Conference Paper |

Cited by: Papers (4)

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Sign language recognition is a fundamental technique to improve communication between native signers and speakers. Current state-of-the-art sign language recognition methods often apply deep neural network models to learn an optimized projection between sign language videos and sentences in an end-to-end manner. Generally, minibatch training using sequential data requires the addition of padding t...Show More

Masked Batch Normalization to Improve Tracking-Based Sign Language Recognition Using Graph Convolutional Networks

Natsuki Takayama;Gibran Benitez-Garcia;Hiroki Takahashi

2021 16th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2021)

Year: 2021 | Conference Paper |

Ketchup As You Like: Drawing Editor for Foods

Shu Naritomi;Gibran Benitez-Garcia;Keiji Yanai

2021 IEEE International Conference on Artificial Intelligence and Virtual Reality (AIVR)

Year: 2021 | Conference Paper |

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Omelet rice is a popular Japanese dish made from an egg omelet filled with rice. There is a culture of freely drawing patterns or messages on it with tomato ketchup. The advantage of this practice is that it is easy to create originality and express creativity. We believe that utilizing this advantage would be possible to generate original food models in VR space easily. Therefore, we introduce a ...Show More

Ketchup As You Like: Drawing Editor for Foods

Shu Naritomi;Gibran Benitez-Garcia;Keiji Yanai

2021 IEEE International Conference on Artificial Intelligence and Virtual Reality (AIVR)

Year: 2021 | Conference Paper |

IPN Hand: A Video Dataset and Benchmark for Real-Time Continuous Hand Gesture Recognition

Gibran Benitez-Garcia;Jesus Olivares-Mercado;Gabriel Sanchez-Perez;Keiji Yanai

2020 25th International Conference on Pattern Recognition (ICPR)

Year: 2021 | Conference Paper |

Cited by: Papers (53)

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Continuous hand gesture recognition (HGR) is an essential part of human-computer interaction with a wide range of applications in the automotive sector, consumer electronics, home automation, and others. In recent years, accurate and efficient deep learning models have been proposed for HGR. However, in the research community, the current publicly available datasets lack real-world elements needed...Show More

IPN Hand: A Video Dataset and Benchmark for Real-Time Continuous Hand Gesture Recognition

Gibran Benitez-Garcia;Jesus Olivares-Mercado;Gabriel Sanchez-Perez;Keiji Yanai

2020 25th International Conference on Pattern Recognition (ICPR)

Year: 2021 | Conference Paper |

Fast and Accurate Real-Time Semantic Segmentation with Dilated Asymmetric Convolutions

Leonel Rosas-Arias;Gibran Benitez-Garcia;José Portillo-Portillo;Gabriel Sánchez-Pérez;Keiji Yanai

2020 25th International Conference on Pattern Recognition (ICPR)

Year: 2021 | Conference Paper |

Cited by: Papers (14)

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Recent works have shown promising results applied to real-time semantic segmentation tasks. To maintain fast inference speed, most of the existing networks make use of light decoders, or they simply do not use them at all. This strategy helps to maintain a fast inference speed; however, their accuracy performance is significantly lower in comparison to non-real-time semantic segmentation networks....Show More

Fast and Accurate Real-Time Semantic Segmentation with Dilated Asymmetric Convolutions

Leonel Rosas-Arias;Gibran Benitez-Garcia;José Portillo-Portillo;Gabriel Sánchez-Pérez;Keiji Yanai

2020 25th International Conference on Pattern Recognition (ICPR)

Year: 2021 | Conference Paper |

Similar Finger Gesture Recognition using Triplet-loss Networks

Gibran Benitez-Garcia;Muhammad Haris;Yoshiyuki Tsuda;Norimichi Ukita

2019 16th International Conference on Machine Vision Applications (MVA)

Year: 2019 | Conference Paper |

Cited by: Papers (3)

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We propose an efficient gesture recognition method for continuous finger gestures in untrimmed videos. We aim to discriminate similar finger gestures such as flicking. This type of gestures which are conducted only by the orientation and movement of the fingers tends to be similar, making them difficult for a correct classification since a clear temporal boundary of each target gesture is ambiguou...Show More

Similar Finger Gesture Recognition using Triplet-loss Networks

Gibran Benitez-Garcia;Muhammad Haris;Yoshiyuki Tsuda;Norimichi Ukita

2019 16th International Conference on Machine Vision Applications (MVA)

Year: 2019 | Conference Paper |

Analysis of hand-crafted and learned feature extraction methods for real-time facial expression recognition

Jesus Olivares-Mercado;Karina Toscano-Medina;Gabriel Sanchez-Perez;Jose Portillo-Portillo;Hector Perez-Meana;Gibran Benitez-Garcia

2019 7th International Workshop on Biometrics and Forensics (IWBF)

Year: 2019 | Conference Paper |

Cited by: Papers (7)

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This paper presents an analysis of hand-crafted and learned feature extraction methods for real-time facial expression recognition (FER). Our analysis focuses on methods capable of running on mobile devices, including traditional algorithms such as Gabor transform, HOG, LBP, as well as two compact CNN models, named Mobilenet V1 and V2. Additionally, we test the performance of MOTIF, a highly effic...Show More

Analysis of hand-crafted and learned feature extraction methods for real-time facial expression recognition

Jesus Olivares-Mercado;Karina Toscano-Medina;Gabriel Sanchez-Perez;Jose Portillo-Portillo;Hector Perez-Meana;Gibran Benitez-Garcia

2019 7th International Workshop on Biometrics and Forensics (IWBF)

Year: 2019 | Conference Paper |

Analysis of in- and out-group differences between Western and East-Asian facial expression recognition

Gibran Benitez-Garcia;Tomoaki Nakamura;Masahide Kaneko

2017 Fifteenth IAPR International Conference on Machine Vision Applications (MVA)

Year: 2017 | Conference Paper |

Cited by: Papers (3)

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Recent cross-cultural studies have questioned the cultural universality of facial expressions from a psychological viewpoint. However, the automatic facial expression recognition (FER) systems are based on the assumption that facial expressions are the same for all human beings, excluding the differences that may appear between different races and cultures. Therefore, this paper presents an analys...Show More

Analysis of in- and out-group differences between Western and East-Asian facial expression recognition

Gibran Benitez-Garcia;Tomoaki Nakamura;Masahide Kaneko

2017 Fifteenth IAPR International Conference on Machine Vision Applications (MVA)

Year: 2017 | Conference Paper |

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