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Author details

Taotao Lai

Publications

21

Citations

232

Publications by Year

20142024

Co-Authors:

Jie ChangQuan ChenJinjian ChenRiqing ChenTat-Jun Chin

Show All Co-Authors (56)

Taotao Lai

Affiliation

School of Computer and Big Data

Minjiang University

Fuzhou, China

Publication Topics

Image Pairs,
Feature Maps,
Image Registration,
Convolutional Neural Network,
Detection Performance,
Feature Matching,
Inliers,
Adaptive Feature,
Affinity Matrix,
Attention Mechanism,
Computer Vision,
Feature Points

Biography

Taotao Lai received the Ph.D. degree in computer science and technology from Xiamen University, Xiamen, China, in 2016. Since 2017, he has been a Post-Doctoral Fellow with Fujian Agriculture and Forestry University. He has published several papers in international journals, including the IEEE Transactions on Intelligent Transportation Systems, Pattern Recognition, and Computer Vision and Image Understanding. His research interests include structure from motionand robust model fitting.(Based on document published on 27 November 2018).

Publications

21

Citations

232

Publications by Year

20142024

Co-Authors:

Jie Chang
Quan Chen
Jinjian Chen
Riqing Chen
Tat-Jun Chin

Show All Co-Authors (56)

Author's Published Works

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Showing 1-21 of 21 results

Journals (14)

Conferences (7)

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Taotao Lai(21)
Zuoyong Li(8)
Riqing Chen(7)
Changcai Yang(7)
Hanzi Wang(5)
Fujian Provincial Key Laboratory of Information Processing and Intelligent Control, College of Computer and Control Engineering, Minjiang University, Fuzhou, China(7)
College of Computer and Control Engineering, Minjiang University, Fuzhou, China(4)
School of Software Engineering, Tongji University, Shanghai, China(3)
Digital Fujian Institute of Big Data for Agriculture and Forestry, College of Computer and Information Sciences, Fujian Agriculture and Forestry University, Fuzhou, China(3)
College of Computer and Data Science, Fuzhou University, Fuzhou, China(2)
IEEE Transactions on Instrumentation and Measurement(3)
2019 IEEE Intl Conf on Parallel & Distributed Processing with Applications, Big Data & Cloud Computing, Sustainable Computing & Communications, Social Computing & Networking (ISPA/BDCloud/SocialCom/SustainCom)(2)
IEEE Access(2)
IEEE Geoscience and Remote Sensing Letters(2)
IEEE Transactions on Circuits and Systems for Video Technology(2)
IEEE(21)
Xiamen, China(2)
Guiyang, China(1)
Hangzhou, China(1)
New Orleans, LA, USA(1)
Singapore(1)
Image Pairs(9)
Inliers(7)
Video Sequences(6)
Feature Matching(5)
Feature Points(5)

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Results

Correspondence Learning via Group-wise Motion Enhancement

Yifan Zhang;Zheng Kang;Xiaolang Lin;Taotao Lai;Lihui Lin;Zuoyong Li

2024 14th International Conference on Information Technology in Medicine and Education (ITME)

Year: 2024 | Conference Paper |

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The outlier removal methods are usually based on Multi-Layer Perceptron (MLP) for capturing context, which neglect the underlying motion information in images. Recently, CNN-based methods have attempted to address this issue by estimating motion fields and have made significant progress. However, CNNs tend to diminish the discontinuities of motion fields, making it difficult for the network to cap...Show More

Correspondence Learning via Group-wise Motion Enhancement

Yifan Zhang;Zheng Kang;Xiaolang Lin;Taotao Lai;Lihui Lin;Zuoyong Li

2024 14th International Conference on Information Technology in Medicine and Education (ITME)

Year: 2024 | Conference Paper |

MFO-Net: A Multiscale Feature Optimization Network for UAV Image Object Detection

Ziyang Lan;Fengyuan Zhuang;Zhijie Lin;Riqing Chen;Lifang Wei;Taotao Lai;Changcai Yang

IEEE Geoscience and Remote Sensing Letters

Year: 2024 | Volume: 21 | Journal Article |

Cited by: Papers (3)

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Object detection in scenes captured by unmanned aerial vehicles (UAVs) is an active research area. However, the performance and efficiency of current small object detection models for UAV images are far from reaching the desired level. The inherent limitations of the features of the small objects themselves and the inconsistency of the contextual information in the feature maps lead to a degradati...Show More

MFO-Net: A Multiscale Feature Optimization Network for UAV Image Object Detection

Ziyang Lan;Fengyuan Zhuang;Zhijie Lin;Riqing Chen;Lifang Wei;Taotao Lai;Changcai Yang

IEEE Geoscience and Remote Sensing Letters

Year: 2024 | Volume: 21 | Journal Article |

MGSCA: Multiscale Gradient Selection-Based Coupled-Hypersphere Adaptation for Unsupervised Pavement Defect Detection

Yijie Zhang;Zuoyong Li;Taotao Lai;Wei Li;Xiangpan Zheng

IEEE Transactions on Instrumentation and Measurement

Year: 2024 | Volume: 73 | Journal Article |

Cited by: Papers (1)

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The pavement defect detection is challenging due to the diverse defects and their unpredictable formations. Current methods often struggle to perform well in situations with complex pavement backgrounds and weak textures, a problem that arises from the interference of various pavement information. We proposed an unsupervised pavement defect detection method with a multiscale gradient selection-bas...Show More

MGSCA: Multiscale Gradient Selection-Based Coupled-Hypersphere Adaptation for Unsupervised Pavement Defect Detection

Yijie Zhang;Zuoyong Li;Taotao Lai;Wei Li;Xiangpan Zheng

IEEE Transactions on Instrumentation and Measurement

Year: 2024 | Volume: 73 | Journal Article |

Multi-Motion Segmentation via Co-Attention-Induced Heterogeneous Model Fitting

Shuyuan Lin;Anjia Yang;Taotao Lai;Jian Weng;Hanzi Wang

IEEE Transactions on Circuits and Systems for Video Technology

Year: 2024 | Volume: 34, Issue: 3 | Journal Article |

Cited by: Papers (8)

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Motion segmentation is an essential task in artificial intelligence and computer vision. However, scene motion in real-world intelligent systems usually integrates multiple types of models, so specifying only one type of basic model may lead to the failure of scene-motion segmentation tasks. In this paper, we propose a novel and efficient heterogeneous model-fitting-based motion segmentation metho...Show More

Multi-Motion Segmentation via Co-Attention-Induced Heterogeneous Model Fitting

Shuyuan Lin;Anjia Yang;Taotao Lai;Jian Weng;Hanzi Wang

IEEE Transactions on Circuits and Systems for Video Technology

Year: 2024 | Volume: 34, Issue: 3 | Journal Article |

Semantic Correspondence with Peripheral Position Coding

Jinjian Chen;Zuoyong Li;Taotao Lai;Huosheng Xie

2023 13th International Conference on Information Technology in Medicine and Education (ITME)

Year: 2023 | Conference Paper |

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Establishing dense correspondences between semantically similar images is a challenging task. Cost aggregation is a crucial step in finding correct dense correspondences, with the goal of optimizing the initial correlation map thereby removing the ambiguity of the correspondences. Current approaches use transformer architectures for cost aggregation, which lack local priors to adequately capture t...Show More

Semantic Correspondence with Peripheral Position Coding

Jinjian Chen;Zuoyong Li;Taotao Lai;Huosheng Xie

2023 13th International Conference on Information Technology in Medicine and Education (ITME)

Year: 2023 | Conference Paper |

Guided Sampling by Neighborhood Information and Matching Scores for Multi-Structure Data

Taotao Lai;Jingyu Fan;Yizhang Liu;Rui Ming;Zuoyong Li

IEEE Signal Processing Letters

Year: 2023 | Volume: 30 | Journal Article |

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The success of most robust model estimation methods heavily relies on their used data sampling algorithms. This letter proposes a novel sampling algorithm, called Guided Sampling by Neighborhood Information and Matching Scores (NIMS), to efficiently sample promising hypotheses for fitting multi-structure data. Specifically, NIMS follows a specific sampling process. First, the proposed NIMS randoml...Show More

Guided Sampling by Neighborhood Information and Matching Scores for Multi-Structure Data

Taotao Lai;Jingyu Fan;Yizhang Liu;Rui Ming;Zuoyong Li

IEEE Signal Processing Letters

Year: 2023 | Volume: 30 | Journal Article |

FV-DGNN: A Distance-Based Graph Neural Network for Finger Vein Recognition

Jie Chang;Taotao Lai;Luokun Yang;Chang Fang;Zuoyong Li;Hamido Fujita

IEEE Transactions on Instrumentation and Measurement

Year: 2023 | Volume: 72 | Journal Article |

Cited by: Papers (2)

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As a promising biometric identification technology, finger vein recognition has gained considerable attention in the field of information security due to its inherent advantages, such as living body recognition, noncontact operation, and high security. However, the existing models often focus on pairwise matching of low-contrast infrared finger vein images, overlooking the underlying relationships...Show More

FV-DGNN: A Distance-Based Graph Neural Network for Finger Vein Recognition

Jie Chang;Taotao Lai;Luokun Yang;Chang Fang;Zuoyong Li;Hamido Fujita

IEEE Transactions on Instrumentation and Measurement

Year: 2023 | Volume: 72 | Journal Article |

Novelty Detection of Leukocyte Image via Mean-Shifted Feature and Directly Optimized Subspace

Wei Li;Taotao Lai;Guanghai Liu;Haoyi Fan;Zuoyong Li

IEEE Transactions on Instrumentation and Measurement

Year: 2023 | Volume: 72 | Journal Article |

Cited by: Papers (1)

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Novelty detection of leukocyte images aims to learn effective data description from in-distribution leukocyte samples and detect out-of-distribution ones that deviate from the expected patterns. Recently, the methods of fine-tuning on the pretrained model have demonstrated excellent performance in novelty detection. However, those methods are prone to collapse or feature deterioration due to the t...Show More

Novelty Detection of Leukocyte Image via Mean-Shifted Feature and Directly Optimized Subspace

Wei Li;Taotao Lai;Guanghai Liu;Haoyi Fan;Zuoyong Li

IEEE Transactions on Instrumentation and Measurement

Year: 2023 | Volume: 72 | Journal Article |

Guided Sampling for Multistructure Data via Neighborhood Consensus and Residual Sorting

Taotao Lai;Yizhang Liu;Jie Chang;Lifang Wei;Zuoyong Li;Hamido Fujita

IEEE Transactions on Circuits and Systems for Video Technology

Year: 2023 | Volume: 33, Issue: 7 | Journal Article |

Cited by: Papers (5)

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Robust model fitting is a critical technique for artificial intelligence. The performance of most robust model fitting techniques heavily depends on the use of sampling algorithms. In this paper, we propose an efficient guided sampling algorithm for multi-structure data by using the neighborhood consensus and the residual sorting. Specifically, a Neighborhood Consensus based Strategy (NCS) is firs...Show More

Guided Sampling for Multistructure Data via Neighborhood Consensus and Residual Sorting

Taotao Lai;Yizhang Liu;Jie Chang;Lifang Wei;Zuoyong Li;Hamido Fujita

IEEE Transactions on Circuits and Systems for Video Technology

Year: 2023 | Volume: 33, Issue: 7 | Journal Article |

MS2DG-Net: Progressive Correspondence Learning via Multiple Sparse Semantics Dynamic Graph

Luanyuan Dai;Yizhang Liu;Jiayi Ma;Lifang Wei;Taotao Lai;Changcai Yang;Riqing Chen

2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Year: 2022 | Conference Paper |

Cited by: Papers (39)

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Establishing superior-quality correspondences in an image pair is pivotal to many subsequent computer vision tasks. Using Euclidean distance between correspondences to find neighbors and extract local information is a common strategy in previous works. However, most such works ignore similar sparse semantics information between two given images and cannot capture local topology among correspondenc...Show More

MS2DG-Net: Progressive Correspondence Learning via Multiple Sparse Semantics Dynamic Graph

Luanyuan Dai;Yizhang Liu;Jiayi Ma;Lifang Wei;Taotao Lai;Changcai Yang;Riqing Chen

2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Year: 2022 | Conference Paper |

Motion Consistency-Based Correspondence Growing for Remote Sensing Image Matching

Yizhang Liu;Yanping Li;Luanyuan Dai;Taotao Lai;Changcai Yang;Lifang Wei;Riqing Chen

IEEE Geoscience and Remote Sensing Letters

Year: 2022 | Volume: 19 | Journal Article |

Cited by: Papers (10)

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In this letter, we propose a remote sensing image matching method that is simple yet efficient to deal with different deformations. Inspired by the region growing strategy used in image segmentation, we integrate the motion consistency into the general region growing pipeline from a novel perspective. Specifically, we first obtain a subset with a high ratio inlier as the seed correspondence set. T...Show More

Motion Consistency-Based Correspondence Growing for Remote Sensing Image Matching

Yizhang Liu;Yanping Li;Luanyuan Dai;Taotao Lai;Changcai Yang;Lifang Wei;Riqing Chen

IEEE Geoscience and Remote Sensing Letters

Year: 2022 | Volume: 19 | Journal Article |

Efficient Robust Model Fitting for Multistructure Data Using Global Greedy Search

Taotao Lai;Riqing Chen;Changcai Yang;Qiming Li;Hamido Fujita;Alireza Sadri;Hanzi Wang

IEEE Transactions on Cybernetics

Year: 2020 | Volume: 50, Issue: 7 | Journal Article |

Cited by: Papers (16)

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In this paper, a new robust model fitting method is proposed to efficiently segment multistructure data even when they are heavily contaminated by outliers. The proposed method is composed of three steps: first, a conventional greedy search strategy is employed to generate (initial) model hypotheses based on the sequential “fit-and-remove” procedure because of its computational efficiency. Second,...Show More

Efficient Robust Model Fitting for Multistructure Data Using Global Greedy Search

Taotao Lai;Riqing Chen;Changcai Yang;Qiming Li;Hamido Fujita;Alireza Sadri;Hanzi Wang

IEEE Transactions on Cybernetics

Year: 2020 | Volume: 50, Issue: 7 | Journal Article |

Accelerated Guided Sampling for Multistructure Model Fitting

Taotao Lai;Hanzi Wang;Yan Yan;Tat-Jun Chin;Jin Zheng;Bo Li

IEEE Transactions on Cybernetics

Year: 2020 | Volume: 50, Issue: 10 | Journal Article |

Cited by: Papers (7)

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The performance of many robust model fitting techniques is largely dependent on the quality of the generated hypotheses. In this paper, we propose a novel guided sampling method, called accelerated guided sampling (AGS), to efficiently generate the accurate hypotheses for multistructure model fitting. Based on the observations that residual sorting can effectively reveal the data relationship (i.e...Show More

Accelerated Guided Sampling for Multistructure Model Fitting

Taotao Lai;Hanzi Wang;Yan Yan;Tat-Jun Chin;Jin Zheng;Bo Li

IEEE Transactions on Cybernetics

Year: 2020 | Volume: 50, Issue: 10 | Journal Article |

Weighted Feature Pyramid Networks for Object Detection

Xiaohan Li;Taotao Lai;Shuaiyu Wang;Quan Chen;Changcai Yang;Riqing Chen;Jinxun Lin;Fu Zheng

2019 IEEE Intl Conf on Parallel & Distributed Processing with Applications, Big Data & Cloud Computing, Sustainable Computing & Communications, Social Computing & Networking (ISPA/BDCloud/SocialCom/SustainCom)

Year: 2019 | Conference Paper |

Cited by: Papers (55)

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Feature Pyramid Networks (FPN) is a popular feature extraction. However, FPN and its variants do not investigate the influence of resolution information and semantic information in the object detection. Thus, FPN and its variants cannot detect some objects on challenging images. In this paper, based on FPN, we propose to use gaussian kernel function to assign different weight values to semantic in...Show More

Weighted Feature Pyramid Networks for Object Detection

Xiaohan Li;Taotao Lai;Shuaiyu Wang;Quan Chen;Changcai Yang;Riqing Chen;Jinxun Lin;Fu Zheng

2019 IEEE Intl Conf on Parallel & Distributed Processing with Applications, Big Data & Cloud Computing, Sustainable Computing & Communications, Social Computing & Networking (ISPA/BDCloud/SocialCom/SustainCom)

Year: 2019 | Conference Paper |

Saliency Detection Based on Weighted Saliency Probability

Xiaogen Zhou;Taotao Lai;Zuoyong Li

2019 IEEE Intl Conf on Parallel & Distributed Processing with Applications, Big Data & Cloud Computing, Sustainable Computing & Communications, Social Computing & Networking (ISPA/BDCloud/SocialCom/SustainCom)

Year: 2019 | Conference Paper |

Cited by: Papers (4)

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The key to computer-based image recognition is to distinguish salient objects from the image background. However, it is still challenging to detect salient region when an object significantly touches the image boundaries. In this study, we present a novel salient region detection method based on a color space volume and a novel weighted saliency probability to address the issue. First, we propose ...Show More

Saliency Detection Based on Weighted Saliency Probability

Xiaogen Zhou;Taotao Lai;Zuoyong Li

2019 IEEE Intl Conf on Parallel & Distributed Processing with Applications, Big Data & Cloud Computing, Sustainable Computing & Communications, Social Computing & Networking (ISPA/BDCloud/SocialCom/SustainCom)

Year: 2019 | Conference Paper |

Discriminant Affinity Matrix for Deterministic Motion Trajectory Segmentation

Guobao Xiao;Kun Zeng;Leyi Wei;Tao Wang;Taotao Lai

Year: 2019 | Volume: 7 | Journal Article |

Cited by: Papers (1)

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We present a novel algorithm (DAM) for deterministic motion trajectory segmentation by using epipolar geometry and adaptive kernel-scale voting. DAM is based on geometric models and exploits the information derived from superpixels to deterministically construct a set of initial correlation matrices. Then DAM introduces a novel adaptive kernel-scale voting scheme to measure each initial correlatio...Show More

Discriminant Affinity Matrix for Deterministic Motion Trajectory Segmentation

Guobao Xiao;Kun Zeng;Leyi Wei;Tao Wang;Taotao Lai

Year: 2019 | Volume: 7 | Journal Article |

Robust Model Fitting Based on Greedy Search and Specified Inlier Threshold

Taotao Lai;Hamido Fujita;Changcai Yang;Qiming Li;Riqing Chen

IEEE Transactions on Industrial Electronics

Year: 2019 | Volume: 66, Issue: 10 | Journal Article |

Cited by: Papers (19)

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Robust model fitting is an important task for modern electronic industries. In this paper, an efficient robust model-fitting method is proposed to estimate model hypotheses for multistructure data with high outlier rates. The proposed method consists mainly of two steps. First, an improved greedy search strategy is used to generate model hypotheses. Different from the conventional greedy search st...Show More

Robust Model Fitting Based on Greedy Search and Specified Inlier Threshold

Taotao Lai;Hamido Fujita;Changcai Yang;Qiming Li;Riqing Chen

IEEE Transactions on Industrial Electronics

Year: 2019 | Volume: 66, Issue: 10 | Journal Article |

Outliers Removed via Spectral Clustering for Robust Model Fitting

Mina Chong;Qiming Li;Taotao Lai;Xiaodong Lan;Xiuzhong Wang;Jun Li

2018 11th International Symposium on Computational Intelligence and Design (ISCID)

Year: 2018 | Conference Paper |

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This paper proposes a robust model fitting method, called Outliers Removed via Spectral Clustering (ORSC), to estimate multiple inlier structures in the presence of a large number of outliers. The basic idea is to cast each data point to the conceptual space, where the distance distribution of inliers and outliers from the origin is significantly different. Therefore, all the points can be classif...Show More

Outliers Removed via Spectral Clustering for Robust Model Fitting

Mina Chong;Qiming Li;Taotao Lai;Xiaodong Lan;Xiuzhong Wang;Jun Li

2018 11th International Symposium on Computational Intelligence and Design (ISCID)

Year: 2018 | Volume: 01 | Conference Paper |

Non-Rigid Point Set Registration via Adaptive Weighted Objective Function

Changcai Yang;Yizhang Liu;Xingyu Jiang;Zejun Zhang;Lifang Wei;Taotao Lai;Riqing Chen

Year: 2018 | Volume: 6 | Journal Article |

Cited by: Papers (25)

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Non-rigid point set registration is a fundamental problem in many fields related to computer vision, medical image processing, and pattern recognition. In this paper, we develop a new point set registration method by using an adaptive weighted objective function, which formulates the alignment of two point sets as a mixture model estimation problem. The correspondences and the transformation are j...Show More

Non-Rigid Point Set Registration via Adaptive Weighted Objective Function

Changcai Yang;Yizhang Liu;Xingyu Jiang;Zejun Zhang;Lifang Wei;Taotao Lai;Riqing Chen

Year: 2018 | Volume: 6 | Journal Article |

Motion Segmentation Via a Sparsity Constraint

Taotao Lai;Hanzi Wang;Yan Yan;Tat-Jun Chin;Wan-Lei Zhao

IEEE Transactions on Intelligent Transportation Systems

Year: 2017 | Volume: 18, Issue: 4 | Journal Article |

Cited by: Papers (35)

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Motion segmentation is an important task for intelligent transportation systems. In this paper, inspired by the fact that a feature point trajectory can be sparsely represented as a combination of several feature point trajectories that share coherent transformations, an efficient and effective motion segmentation method with a sparsity constraint is proposed. Specifically, we first propose an acc...Show More

Motion Segmentation Via a Sparsity Constraint

Taotao Lai;Hanzi Wang;Yan Yan;Tat-Jun Chin;Wan-Lei Zhao

IEEE Transactions on Intelligent Transportation Systems

Year: 2017 | Volume: 18, Issue: 4 | Journal Article |

Combining preference analysis with local constraints for rapid hypothesis generation

Taotao Lai;Da-Han Wang;Guobao Xiao;Hanzi Wang

2014 13th International Conference on Control Automation Robotics & Vision (ICARCV)

Year: 2014 | Conference Paper |

Cited by: Papers (1)

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Hypothesis generation is crucial to many robust model fitting methods. In this paper, we propose an effective hypothesis generation method by adopting conditional sampling with local constraints. We choose data to generate hypotheses according to sampling weights, which are computed according to ordered residual indices. To sample a minimal subset, we randomly choose a seed datum, compute sampling...Show More

Combining preference analysis with local constraints for rapid hypothesis generation

Taotao Lai;Da-Han Wang;Guobao Xiao;Hanzi Wang

2014 13th International Conference on Control Automation Robotics & Vision (ICARCV)

Year: 2014 | Conference Paper |

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