Bo Peng

Orcid: 0000-0002-8694-5106

Affiliations:
  • Southwest Jiaotong University, Institute of Artificial Intelligence, School of Information Science and Technology, Chengdu, China


According to our database1, Bo Peng authored at least 45 papers between 2013 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Online presence:

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Bibliography

2023
Weakly supervised pavement crack semantic segmentation based on multi-scale object localization and incremental annotation refinement.
Appl. Intell., June, 2023

Weakly Supervised Salient Object Detection by Hierarchically Enhanced Scribbles.
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

RBNet: An Ultrafast Rendering-Based Architecture for Railway Defect Segmentation.
IEEE Trans. Instrum. Meas., 2023

A hybrid deep learning pavement crack semantic segmentation.
Eng. Appl. Artif. Intell., 2023

USL-Net: Uncertainty Self-Learning Network for Unsupervised Skin Lesion Segmentation.
CoRR, 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
Deep linear graph attention model for attributed graph clustering.
Knowl. Based Syst., 2022

An overview of edge and object contour detection.
Neurocomputing, 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

Multi-view clustering via deep concept factorization.
Knowl. Based Syst., 2021

Object scale selection of hierarchical image segmentation with deep seeds.
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

Segmentation Quality Evaluation Algorithm Based on Classification.
Proceedings of the 16th International Conference on Intelligent Systems and Knowledge Engineering, 2021

Metric Learning with Feature Embedding for Segmentation Quality Evaluation.
Proceedings of the 16th International Conference on Intelligent Systems and Knowledge Engineering, 2021

Region Quality Based Scale-aware Selection for Hierarchical Image Segmentation.
Proceedings of the ICDSP 2021: 5th International Conference on Digital Signal Processing, 2021

Fine Matting for Portraits.
Proceedings of the ICDSP 2021: 5th International Conference on Digital Signal Processing, 2021

2020
Parallel multi-view concept clustering in distributed computing.
Neural Comput. Appl., 2020

Multi-scale region composition of hierarchical image segmentation.
Multim. Tools Appl., 2020

Point clouds learning with attention-based graph convolution networks.
Neurocomputing, 2020

A review on crowd simulation and modeling.
Graph. Model., 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

Fusion of Measures for Image Segmentation Evaluation.
Int. J. Comput. Intell. Syst., 2019

Point Clouds Learning Using Directed Connected Graph.
Proceedings of the 14th IEEE International Conference on Intelligent Systems and Knowledge Engineering, 2019

Evaluating Segmentation Quality via Reference Segmentations in Tree-like Structure.
Proceedings of the 14th IEEE International Conference on Intelligent Systems and Knowledge Engineering, 2019

Hierarchical Region Merging for Multi-scale Image Segmentation.
Proceedings of the 14th IEEE International Conference on Intelligent Systems and Knowledge Engineering, 2019

Pavement Crack Detection Based on the Improved Faster-RCNN.
Proceedings of the 14th IEEE International Conference on Intelligent Systems and Knowledge Engineering, 2019

Text Detection by Fusing Text Edge Semantics in Arbitrary Shapes.
Proceedings of the 14th IEEE International Conference on Intelligent Systems and Knowledge Engineering, 2019

Object Scale Selection of Hierarchical Image Segmentation Using Reliable Regions.
Proceedings of the 14th IEEE International Conference on Intelligent Systems and Knowledge Engineering, 2019

Generative Adversarial Networks for Road Crack Image Segmentation.
Proceedings of the International Joint Conference on Neural Networks, 2019

2018
Region-based image segmentation evaluation via perceptual pooling strategies.
Mach. Vis. Appl., 2018

2017
Evaluation of Segmentation Quality via Adaptive Composition of Reference Segmentations.
IEEE Trans. Pattern Anal. Mach. Intell., 2017

Multi-view Clustering Algorithm Based on Variable Weight and MKL.
Proceedings of the Rough Sets - International Joint Conference, 2017

H2: Fusion of HOG and Harris features for image segmentation evaluation.
Proceedings of the 12th International Conference on Intelligent Systems and Knowledge Engineering, 2017

2016
Region Based Exemplar References for Image Segmentation Evaluation.
IEEE Signal Process. Lett., 2016

A Data Fusion-Based Framework for Image Segmentation Evaluation.
Proceedings of the Intelligent Computing Theories and Application, 2016

An Interactive Segmentation Algorithm for Thyroid Nodules in Ultrasound Images.
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
Bayesian image segmentation fusion.
Knowl. Based Syst., 2014

A Learning-Based Framework for Supervised and Unsupervised Image Segmentation Evaluation.
Int. J. Image Graph., 2014

2013
A Probabilistic Measure for Quantitative Evaluation of Image Segmentation.
IEEE Signal Process. Lett., 2013

A Learning-Based Framework for Image Segmentation Evaluation.
Proceedings of the 2013 5th International Conference on Intelligent Networking and Collaborative Systems, 2013


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