Bo Peng
Orcid: 0000-0002-8694-5106Affiliations:
- Southwest Jiaotong University, Institute of Artificial Intelligence, School of Information Science and Technology, Chengdu, China
According to our database1,
Bo Peng
authored at least 63 papers
between 2009 and 2025.
Collaborative distances:
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Bibliography
2025
An ultra-lightweight network combining Mamba and frequency-domain feature extraction for pavement tiny-crack segmentation.
Expert Syst. Appl., 2025
2024
Transformer-based thin crack segmentation: an efficient multiscale approach for automatic visual inspection.
Signal Image Video Process., November, 2024
Int. J. Image Graph., March, 2024
A Bio-Inspired Network With Automatic Brightness Adaptation for Pavement Crack Detection in Different Environments.
IEEE Trans. Instrum. Meas., 2024
IEEE Trans. Instrum. Meas., 2024
Knowl. Based Syst., 2024
Eng. Appl. Artif. Intell., 2024
Difficult airway assessment with Multi-View Contrastive Representation Prior and Ensemble Classification.
Biomed. Signal Process. Control., 2024
USL-Net: Uncertainty self-learning network for unsupervised skin lesion segmentation.
Biomed. Signal Process. Control., 2024
Appl. Soft Comput., 2024
2023
Robust multi-label feature selection with shared coupled and dynamic graph regularization.
Appl. Intell., July, 2023
Weakly supervised pavement crack semantic segmentation based on multi-scale object localization and incremental annotation refinement.
Appl. Intell., June, 2023
Int. J. Pattern Recognit. Artif. Intell., February, 2023
Weakly supervised skin lesion segmentation based on spot-seeds guided optimal regions.
IET Image Process., January, 2023
IEEE Trans. Instrum. Meas., 2023
Eng. Appl. Artif. Intell., 2023
USL-Net: Uncertainty Self-Learning Network for Unsupervised Skin Lesion Segmentation.
CoRR, 2023
MDAU-Net: A Multi-Scale U-Net with Dual Attention Module for Pavement Crack Segmentation.
Proceedings of the 18th International Conference on Intelligent Systems and Knowledge Engineering, 2023
CascadeTransformer: Multi-label Classification with Transformer in Chronic Disease Prediction.
Proceedings of the 2023 7th International Conference on Machine Learning and Soft Computing, 2023
A Hybrid Machine Learning Method for Diabetes Detection based on Unsupervised Clustering.
Proceedings of the 2023 7th International Conference on Machine Learning and Soft Computing, 2023
2022
Knowl. Based Syst., 2022
Infrared dim and small targets detection via self-attention mechanism and pipeline correlator.
Digit. Signal Process., 2022
2021
Weakly supervised semantic segmentation by iteratively refining optimal segmentation with deep cues guidance.
Neural Comput. Appl., 2021
IET Image Process., 2021
Weakly-Supervised Salient Object Detection through Object Segmentation Guided by Scribble Annotations.
Proceedings of the 16th International Conference on Intelligent Systems and Knowledge Engineering, 2021
Proceedings of the 16th International Conference on Intelligent Systems and Knowledge Engineering, 2021
Proceedings of the 16th International Conference on Intelligent Systems and Knowledge Engineering, 2021
Proceedings of the ICDSP 2021: 5th International Conference on Digital Signal Processing, 2021
Proceedings of the ICDSP 2021: 5th International Conference on Digital Signal Processing, 2021
Proceedings of the Computer Supported Cooperative Work and Social Computing, 2021
2020
Neural Comput. Appl., 2020
Multim. Tools Appl., 2020
Neurocomputing, 2020
2019
基于区间分类的螺旋图可视化边绑定方法 (Edge Bundling Method of Spiral Graph Based on Interval Classification).
计算机科学, 2019
Int. J. Comput. Intell. Syst., 2019
Proceedings of the 14th IEEE International Conference on Intelligent Systems and Knowledge Engineering, 2019
Proceedings of the 14th IEEE International Conference on Intelligent Systems and Knowledge Engineering, 2019
Proceedings of the 14th IEEE International Conference on Intelligent Systems and Knowledge Engineering, 2019
Proceedings of the 14th IEEE International Conference on Intelligent Systems and Knowledge Engineering, 2019
Proceedings of the 14th IEEE International Conference on Intelligent Systems and Knowledge Engineering, 2019
Proceedings of the 14th IEEE International Conference on Intelligent Systems and Knowledge Engineering, 2019
Proceedings of the International Joint Conference on Neural Networks, 2019
2018
Mach. Vis. Appl., 2018
2017
Evaluation of Segmentation Quality via Adaptive Composition of Reference Segmentations.
IEEE Trans. Pattern Anal. Mach. Intell., 2017
Proceedings of the Rough Sets - International Joint Conference, 2017
Proceedings of the 12th International Conference on Intelligent Systems and Knowledge Engineering, 2017
2016
IEEE Signal Process. Lett., 2016
Proceedings of the Intelligent Computing Theories and Application, 2016
Proceedings of the Intelligent Computing Methodologies - 12th International Conference, 2016
2015
基于监督学习的日冕暗化检测与提取算法 (Coronal Dimming Detecting and Extracting Algorithm Based on Supervised Learning).
计算机科学, 2015
基于TI-RADS的甲状腺结节超声图像特征提取技术研究 (Thyroid Nodule Ultrasound Image Feature Extraction Technique Based on TI-RADS).
计算机科学, 2015
2014
A Learning-Based Framework for Supervised and Unsupervised Image Segmentation Evaluation.
Int. J. Image Graph., 2014
2013
IEEE Signal Process. Lett., 2013
Pattern Recognit., 2013
Proceedings of the 2013 5th International Conference on Intelligent Networking and Collaborative Systems, 2013
2012
Proceedings of the Computer Vision - ECCV 2012, 2012
2011
IEEE Trans. Image Process., 2011
Pattern Recognit., 2011
2009