Yuanlong Yu

Knowl. Based Syst., 2024

You only label once: A self-adaptive clustering-based method for source-free active domain adaptation.

[BibT_eX]

[DOI]

Zhishu Sun

Luojun Lin

IET Image Process., 2024

Dynamic Attentive Convolution for Facial Beauty Prediction.

[BibT_eX]

[DOI]

IEICE Trans. Inf. Syst., 2024

Fault-tolerant deep learning inference on CPU-GPU integrated edge devices with TEEs.

[BibT_eX]

[DOI]

Future Gener. Comput. Syst., 2024

Multi-label feature selection via adaptive dual-graph optimization.

[BibT_eX]

[DOI]

Expert Syst. Appl., 2024

Learning feature alignment across attribute domains for improving facial beauty prediction.

[BibT_eX]

[DOI]

Expert Syst. Appl., 2024

Incomplete Multi-View Clustering Via Inference and Evaluation.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2024

2023

Dual-graph with non-convex sparse regularization for multi-label feature selection.

[BibT_eX]

[DOI]

Appl. Intell., September, 2023

A novel decoder based on Bayesian rules for task-driven object segmentation.

[BibT_eX]

[DOI]

IET Image Process., February, 2023

Memory-Constrained Semantic Segmentation for Ultra-High Resolution UAV Imagery.

[BibT_eX]

[DOI]

CoRR, 2023

Out-of-distribution detection based on multi-classifiers.

[BibT_eX]

[DOI]

Weijie Jiang

Cogn. Comput. Syst., 2023

MetaFBP: Learning to Learn High-Order Predictor for Personalized Facial Beauty Prediction.

[BibT_eX]

[DOI]

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Parameter Exchange for Robust Dynamic Domain Generalization.

[BibT_eX]

[DOI]

Proceedings of the 31st ACM International Conference on Multimedia, 2023

A Multiple Prediction Mechanisms Ensemble for Complex Remote Sensing Scenes.

[BibT_eX]

[DOI]

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Deep Inversion Method for Attacking Lifelong Learning Neural Networks.

[BibT_eX]

[DOI]

Boyuan Du

Huaping Liu

Proceedings of the International Joint Conference on Neural Networks, 2023

Run and Chase: Towards Accurate Source-Free Domain Adaptive Object Detection.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Multimedia and Expo, 2023

Learning High Frequency Surface Functions In Shells.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Multimedia and Expo, 2023

Universal Adversarial Attacks for Visual Odometry Systems.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Development and Learning, 2023

FBPFormer: Dynamic Convolutional Transformer for Global-Local-Contexual Facial Beauty Prediction.

[BibT_eX]

[DOI]

Proceedings of the Artificial Neural Networks and Machine Learning, 2023

2022

Semantic enhanced for out-of-distribution detection.

[BibT_eX]

[DOI]

Weijie Jiang

Frontiers Neurorobotics, September, 2022

Robust multi-class feature selection via l2, 0-norm regularization minimization.

[BibT_eX]

[DOI]

Intell. Data Anal., 2022

Dynamic Domain Generalization.

[BibT_eX]

[DOI]

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

2021

Fast Approximation for Sparse Coding with Applications to Object Recognition.

[BibT_eX]

[DOI]

Sensors, 2021

Semi-Supervised Domain Generalization in Real World: New Benchmark and Strong Baseline.

[BibT_eX]

[DOI]

CoRR, 2021

Dynamic Domain Adaptation for Single-view 3D Reconstruction.

[BibT_eX]

[DOI]

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

Deep Unsupervised Learning Based Visual Odometry with Multi-scale Matching and Latent Feature Constraint.

[BibT_eX]

[DOI]

Zhenzhen Liang

Qixin Wang

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

From Contexts to Locality: Ultra-high Resolution Image Segmentation via Locality-aware Contextual Correlation.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Multi-class Feature Selection Based on Softmax with L2, 0-Norm Regularization.

[BibT_eX]

[DOI]

Shumei Zeng

Proceedings of the Cognitive Systems and Information Processing, 2021

GridPointNet: Grid and Point-Based 3D Object Detection from Point Cloud.

[BibT_eX]

[DOI]

Proceedings of the Cognitive Systems and Information Processing, 2021

Dynamic Network Pruning Based on Local Channel-Wise Relevance.

[BibT_eX]

[DOI]

Luxin Lin

Wenxi Liu

Proceedings of the Cognitive Systems and Information Processing, 2021

DGrid: Dense Grid Network for Salient Object Detection.

[BibT_eX]

[DOI]

Proceedings of the Cognitive Systems and Information Processing, 2021

Projecting Your View Attentively: Monocular Road Scene Layout Estimation via Cross-View Transformation.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

A Homotopy Coordinate Descent Optimization Method for l0-Norm Regularized Least Square Problem.

[BibT_eX]

[DOI]

CoRR, 2020

Nonnegative Spectral Analysis with Adaptive Graph and L2, 0-Norm Regularization for Unsupervised Feature Selection.

[BibT_eX]

[DOI]

CoRR, 2020

Robust Multi-class Feature Selection via l2, 0-Norm Regularization Minimization.

[BibT_eX]

[DOI]

CoRR, 2020

An Internal Covariate Shift Bounding Algorithm for Deep Neural Networks by Unitizing Layers' Outputs.

[BibT_eX]

[DOI]

You Huang

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Deformable Object Tracking With Gated Fusion.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2019

Bidirectional Tracking Scheme for Visual Object Tracking Based on Recursive Orthogonal Least Squares.

[BibT_eX]

[DOI]

Miaoxing Xu

IEEE Access, 2019

A Hidden Feature Selection Method based on l2, 0-Norm Regularization for Training Single-hidden-layer Neural Networks.

[BibT_eX]

[DOI]

Zhiwei Liu

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019

A novel tactile sensor based on structured light.

[BibT_eX]

[DOI]

Hongxiang Xue

Zhenzhen Liang

Proceedings of the 2019 IEEE International Conference on Robotics and Biomimetics, 2019

A Structured Light Encoding Method for M-array Technique.

[BibT_eX]

[DOI]

Zhenzhen Liang

Hongxiang Xue

Proceedings of the 2019 IEEE International Conference on Robotics and Biomimetics, 2019

Online memory learning for active object recognition.

[BibT_eX]

[DOI]

Dengsheng Chen

Proceedings of the 2019 IEEE International Conference on Robotics and Biomimetics, 2019

AM2FNet: Attention-based Multiscale & Multi-modality Fused Network.

[BibT_eX]

[DOI]

Rong Chen

Proceedings of the 2019 IEEE International Conference on Robotics and Biomimetics, 2019

Visualizing the Invisible: Occluded Vehicle Segmentation and Recovery.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Context-Aware Spatio-Recurrent Curvilinear Structure Segmentation.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

An efficient cascaded method for network intrusion detection based on extreme learning machines.

[BibT_eX]

[DOI]

J. Supercomput., 2018

Deformable Object Tracking with Gated Fusion.

[BibT_eX]

[DOI]

CoRR, 2018

Lagrange Dual Method for Sparsity Constrained Optimization.

[BibT_eX]

[DOI]

IEEE Access, 2018

A Homotopy Iterative Hard Thresholding Algorithm With Extreme Learning Machine for Scene Recognition.

[BibT_eX]

[DOI]

IEEE Access, 2018

Traffic Sign Detection using Deep Random Mapping Autoencoder Network.

[BibT_eX]

[DOI]

Yiyi Yang

Proceedings of the IEEE International Conference on Information and Automation, 2018

A Sparse Dictionary Learning Algorithm with BB Method.

[BibT_eX]

[DOI]

Zhishu Sun

Proceedings of the IEEE International Conference on Information and Automation, 2018

An Autonomous Selection Method for Spatial Pooling Based on Chi-Square Test.

[BibT_eX]

[DOI]

Zhiwei Liu

Proceedings of the IEEE International Conference on Information and Automation, 2018

Kernel-based Nonlinear Observation Method For Sparse Coding.

[BibT_eX]

[DOI]

Min Lin

Proceedings of the IEEE International Conference on Information and Automation, 2018

Distilling deep neural networks with reinforcement learning.

[BibT_eX]

[DOI]

You Huang

Proceedings of the IEEE International Conference on Information and Automation, 2018

Enhancement Mask for Hippocampus Detection and Segmentation.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Information and Automation, 2018

Two-Stage Weighted Regularized Extreme Learning Machine for Class Imbalanced Learning.

[BibT_eX]

[DOI]

Miaoxing Xu

Proceedings of the Cognitive Systems and Signal Processing - 4th International Conference, 2018

2017

An Efficient Method for Traffic Sign Recognition Based on Extreme Learning Machine.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., 2017

Visual-Tactile Fusion for Object Recognition.

[BibT_eX]

[DOI]

IEEE Trans Autom. Sci. Eng., 2017

Sparse coding extreme learning machine for classification.

[BibT_eX]

[DOI]

Neurocomputing, 2017

A multi-label classification algorithm based on kernel extreme learning machine.

[BibT_eX]

[DOI]

Neurocomputing, 2017

Robotic skills learning based on dynamical movement primitives using a wearable device.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE International Conference on Robotics and Biomimetics, 2017

Video attention using multiple temporal scales coding reconstruction.

[BibT_eX]

[DOI]

Yu Lin

Proceedings of the 4th International Conference on Systems and Informatics, 2017

M-Weighted extreme learning machine for imbalanced learning.

[BibT_eX]

[DOI]

Jiamin Lin

Proceedings of the IEEE International Conference on Information and Automation, 2017

A new pruning algorithm for extreme learning machine.

[BibT_eX]

[DOI]

Yuan Tian

Proceedings of the IEEE International Conference on Information and Automation, 2017

2016

ELM-based spammer detection in social networks.

[BibT_eX]

[DOI]

J. Supercomput., 2016

An object tracking method using extreme learning machine with online learning.

[BibT_eX]

[DOI]

Liyan Xie

Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

Gesture recognition using data glove: An extreme learning machine method.

[BibT_eX]

[DOI]

Danling Lu

Huaping Liu

Proceedings of the 2016 IEEE International Conference on Robotics and Biomimetics, 2016

Protein Function Detection Based on Machine Learning: Survey and Possible Solutions.

[BibT_eX]

[DOI]

Proceedings of the 15th International Symposium on Parallel and Distributed Computing, 2016

A pruning algorithm for extreme learning machine based on sparse coding.

[BibT_eX]

[DOI]

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

A scene recognition method using sparse features with layout-sensitive pooling and extreme learning machine.

[BibT_eX]

[DOI]

Lingying Wu

Proceedings of the IEEE International Conference on Information and Automation, 2016

A vision based traffic accident detection method using extreme learning machine.

[BibT_eX]

[DOI]

Yu Chen

Ting Li

Proceedings of the 2016 International Conference on Advanced Robotics and Mechatronics, 2016

2015

Detecting spammers on social networks.

[BibT_eX]

[DOI]

Neurocomputing, 2015

Robotic grasp detection using extreme learning machine.

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE International Conference on Robotics and Biomimetics, 2015

Scene recognition based on extreme learning machine for digital video archive management.

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE International Conference on Robotics and Biomimetics, 2015

Moving vehicle detection based on dense SIFT and Extreme Learning Machine for visual surveillance.

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE International Conference on Robotics and Biomimetics, 2015

Network intrusion classification based on extreme learning machine.

[BibT_eX]

[DOI]

Zhifan Ye

Proceedings of the IEEE International Conference on Information and Automation, 2015

A generalized pruning algorithm for extreme learning machine.

[BibT_eX]

[DOI]

Kai Sun

Proceedings of the IEEE International Conference on Information and Automation, 2015

Efficient robot navigation for semi-structured indoor storehouse.

[BibT_eX]

[DOI]

Kai Sun

Proceedings of the IEEE 28th Canadian Conference on Electrical and Computer Engineering, 2015

2014

Diversified Key-Frame Selection Using Structured ${L_{2, 1}}$ Optimization.

[BibT_eX]

[DOI]

IEEE Trans. Ind. Informatics, 2014

Bhattacharyya distance-based irregular pyramid method for image segmentation.

[BibT_eX]

[DOI]

Junzheng Wang

IET Comput. Vis., 2014

Multitask Extreme Learning Machine for Visual Tracking.

[BibT_eX]

[DOI]

Huaping Liu

Fuchun Sun

Cogn. Comput., 2014

Extreme learning machine based traffic sign detection.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Multisensor Fusion and Information Integration for Intelligent Systems, 2014

Simultaneous prototype selection and outlier isolation for traffic sign recognition: A collaborative sparse optimization method.

[BibT_eX]

[DOI]

Proceedings of the 2014 IEEE International Conference on Robotics and Automation, 2014

A visual attention based method for detecting traffic signs of interest.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Information and Automation, 2014

Spammer Detection on Weibo Social Network.

[BibT_eX]

[DOI]

Proceedings of the IEEE 6th International Conference on Cloud Computing Technology and Science, 2014

2013

Development and Evaluation of Object-Based Visual Attention for Automatic Perception of Robots.

[BibT_eX]

[DOI]

IEEE Trans Autom. Sci. Eng., 2013

A Jeffrey divergence based irregular pyramid method for pre-attentive visual segmentation.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2013

2012

A Goal-Directed Visual Perception System Using Object-Based Top-Down Attention.

[BibT_eX]

[DOI]

IEEE Trans. Auton. Ment. Dev., 2012

A Single-Object Tracking Method for Robots using Object-Based Visual Attention.

[BibT_eX]

[DOI]

Int. J. Humanoid Robotics, 2012

Pre-attentive visual segmentation algorithm for cognitive robots.

[BibT_eX]

[DOI]

Proceedings of the 2012 IEEE International Conference on Robotics and Biomimetics, 2012

2010

An Object-Based Visual Attention Model for Robotic Applications.

[BibT_eX]

[DOI]

IEEE Trans. Syst. Man Cybern. Part B, 2010

Target tracking for moving robots using object-based visual attention.

[BibT_eX]

[DOI]

Proceedings of the 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2010

2009

An autonomous visual perception model for robots using object-based attention mechanism.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2009

A novel robotic visual perception method using object-based attention.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2009

Modeling of top-down influences on object-based visual attention for robots.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2009

Modeling of top-down object-based attention using probabilistic neural network.

[BibT_eX]

[DOI]

Ray G. Gosine

Proceedings of the 22nd Canadian Conference on Electrical and Computer Engineering, 2009

2008

An object-based visual attention model for robots.

[BibT_eX]

[DOI]

Ray G. Gosine

Proceedings of the 2008 IEEE International Conference on Robotics and Automation, 2008

2007

A task-driven object-based attention model for robots.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2007

Task-driven moving object detection for robots using visual attention.

[BibT_eX]

[DOI]