西南交通大学计算机与人工智能学院导师教师师资介绍简介-彭博

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个人信息Personal Information 所在单位： 计算机与人工智能学院
办公地点： 西南交通大学计算机与人工智能学院软件工程系
联系方式： 通信地址：四川省成都市高新区西部园区西南交通大学计算机宇人工智能学院邮箱：bpeng at home.swjtu.edu.cn办公电话：
其他任职： 博导
主要任职： 副教授

个人简介Personal Profile 彭博，副教授，博士生导师，四川省学术和技术带头人后备人选。主要从事计算机视觉和图像处理技术的研究，在图像分割、图像分割质量评价、超声图像处理和天文图像处理技术等方面的研究取得了显著成果。在国际一流学术期刊，如：TPAMI，TIP, PR，SPL，及顶级国际会议，如：ECCV, CVPR，BMVC等上发表多篇论文，入选ESI高被引论文1篇，单篇论文最高引用次数260余次，获国际会议ISKE最佳海报论文2篇，SCI/EI检索论文共计50余篇。获国家发明专利授权5项。主持国家自然科学基金面上项目1项、国家自然科学青年基金1项、四川省科技厅计划项目1项，参与国家自然科学基金2项、国家科技支撑计划项目1项、国家重点研发计划项目1项和省科技厅计划项目1项。

教育经历Education Background
工作经历Work Experience
暂无内容暂无内容
研究方向Research Focus
图像语义分割、弱监督分割、图像目标解析、图像目标跟踪
图像分割质量评价算法
智能交通技术、路面缺陷检测
医学图像处理

团队成员Research Group 团队介绍
本团队依托“云计算与智能技术”四川省高校重点实验室组建，以服务国家战略和立足国际前沿为目标，围绕人工智能领域中的计算机视觉、大数据、机器学习、模式识别与认知计算的理论与应用技术开展研究及产品研发，努力培养具有大数据思维、人工智能技术以及国际视野的复合型人才。

Copyright ? 2019 西南交通大学. All Rights Reserved.蜀ICP备**号
地址：中国四川省成都市高新区西部园区西南交通大学
川公网安备061号
技术支持：信息化与网络管理处

个人信息Personal Information 所在单位： 计算机与人工智能学院
办公地点： 西南交通大学计算机与人工智能学院软件工程系
联系方式： 通信地址：四川省成都市高新区西部园区西南交通大学计算机宇人工智能学院邮箱：bpeng at home.swjtu.edu.cn办公电话：
其他任职： 博导
主要任职： 副教授

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当前位置：中文主页 >> 科学研究
科研项目
四川省科技重点研发项目（21ZDYF1944),2021.04.01 - 2023.03.31
四川省公路局科技项目(2019-01), 2020.5-2022.12

国家自然科学基金面上项目（**），2018.1-2021.12 （主持）
国家重点研发计划项目，2017.12-2020.11 （参与）
国家科技支撑计划项目（2015BAH19F02），2015.7-2012.12 (参与)
四川省科技厅项目(2014SZ0207), 2014.7.1-2016.6.30 (参与)
国家自然科学青年基金项目（**）， 2013.1-2015.12 （主持）
国家自然科学基金(**)，2013.1-2015.12 （参与）
四川省科技创新苗子工程重点项目(2012RZ0008)， 2012.10-2013.9 (主持)

项目成果展示
一、证件照制作API平台，支持600余种证件照类型。使用云端人工智能深度学习算法进行人脸检测、自动抠图，智能填充底色，自然美颜，正装替换。可接入Windows、Linux、iOS、Android平台。合作产品在安卓各大应用商店超过百万次安装。功能包括：
人像背景替换、精细抠图、正装自动对齐贴合人像、交互式换装、多种规格排版打印、美颜、化妆、双人证件照
任意背景下的人像分割

自动一键换装，定位姿态和关键点位置，替换服装和背景

多规格尺寸排版

二、基于安卓应用的证件照制作。研发.so库，实现基于C++的自动人像分割、抠图和美颜，算法不依赖云端资源调用，本地离线实时制作证件照。

三、卡通人像制作
已形成商业合作产品，可在手机应用商店下载app：Q版卡通头像

四、道路裂缝病害检测算法

设计并实现了多种像素级检测算法，例如：基于对抗网络的公路图像裂缝分割方法、基于Unet++及条件生成对抗网络的道路裂缝检测方法等。

五、图像语义分割
基于弱监督的深度种子迭代优化分割方法

基于交互式的最优分割层次选择方法

论文成果
学术论文 (按时间顺序, *表示通讯作者)
Zaid Al-Huda, Bo Peng*, Yan Yang, Riyadh Nazar Ali Algburi. Weakly Supervised Semantic Segmentation by Iteratively Refining Optimal Segmentation with Deep Cues Guidance. Neural Computing and Applications. 2021
Bo Peng*, Zaid Al-Huda, Zhuyang Xie, Xi Wu. Multi-scale region composition of hierarchical image segmentation. Multimedia Tools and Applications. 79, pages32833–32855, 2020 DOI: https://doi.org/10.1007/s11042-020-09346-y
Zaid Al-Huda, Bo Peng*, Yan Yang, Riyadh Nazar Ali Algburi. Object Scale Selection of Hierarchical Image Segmentation with Deep Seeds. IET image processing. Volume15, Issue1，January 2021，Pages 191-205 https://doi.org/10.1049/ipr2.12020
Zhuyang Xie, Junzhou Chen, Bo Peng. Point clouds learning with attention-based graph convolution networks. Neurocomputing, 402: 245-255, 2020
Hao Wang, Yan Yang, Xiaobo Zhang, Bo Peng. Parallel multi-view concept clustering in distributed computing[J]. Neural Computing and Applications, 2019(6).
Zaid Al-Huda, Bo Peng*, Yan Yang, Muqeet Ahmed. Object Scale Selection of Hierarchical Image Segmentation Using Reliable Regions. ISKE, 2019.
Cong Gou, Bo Peng*, Tianrui Li and Ziping Gao. Pavement Crack Detection Based on the Improved Faster-RCNN, ISKE, 2019.
Ziping Gao, Bo Peng*, Tianrui Li. Text detection by Fusing Text Edge Semantics in Arbitrary Shapes, ISKE,2019.
Chao Wang, Bo Peng*, Xun Gong, Zeng Yu and Tianrui Li. Evaluating Segmentation Quality via Reference Segmentations in Tree-like Structure, ISKE, 2019
Xiaojun Ma, Bo Peng*, Xun Gong, Zeng Yu and Tianrui Li. Hierarchical Region Merging for Multi-scale Image Segmentation, ISKE, 2019.
Zhuyang Xie, Bo Peng*, Junzhou Chen. Point Cloulds Learning Using Directed Connected Graph, ISKE, 2019.
Hongtao He, Bo Peng*, Junzhou Chen. Image Segmentation Based on Similarity of Hierarchical Regions, ISKE, 2019.
HaoWang, YanYang*, Xiaobo Zhang, Bo Peng. Parallel multi-view concept clustering in distributed computing，Neural Computing and Applications. 2019
Ziping Gao, Bo Peng*, Tianrui Li and Cong Gou. Generative Adversarial Networks for Road Crack Image Segmentation. International Joint Conference on Neural Networks (IJCNN), 2019
Bo Peng*, Macmillan Simfukwe,Tianrui Li. Region based image segmentation evaluation via perceptual pooling strategies. Machine Vision and Applications. 29:477–488,2018(SCI)
Bo Peng*, Lei Zhang, Xuanqin Mou, Ming-Hsuan Yang.Evaluation of Segmentation Quality via Adaptive Composition of Reference Segmentations. IEEE Transactions on Pattern Analysis & Machine Intelligence, 39(10):1929-1941, 2017.(SCI)
Y.H. Yang, H.M. Tian, B. Peng*, T.R. Li, Z.X. Xie. Multi-Label Learning for Detection of CME-Associated Phenomena. Solar Physics,292(9):131,2017. (SCI)
M. Simfukwe, B. Peng*, T. Li, D. Kunda. HOSUR: A Novel Measure for Evaluation of Image Segmentation Quality. Proceedings of the IEEE International Conference in Information and Communication Technologies. September 2017.
Macmillan Simfukwe, Bo Peng* and Tianrui Li. H2: Fusion Of HOG and Harris Features For Image Segmentation Evaluation. International Conference on Intelligent Systems and Knowledge Engineering(ISKE), 2017.
Hao Wang, Bo Peng*, Yan Yang, Qin Chen. A thyriod nodule grading technology based on TI-RADS. Proceedings of the Ninth International Conference on Digital Image Processing (ICDIP), Volume 10420, **, Hong Kong, July 2, 2017.
Bo Peng*, Xingzheng Wang, Yan Yang. Region based exemplar references for image segmentation evaluation. IEEE Signal processing letters, 23(4):459-462, 2016. (SCI)
Waleed M. H. Alrubaidi, Bo Peng*, Yan Yang, Qin Chen. An Interactive Segmentation Algorithm for Thyroid Nodules in Ultrasound Images. In 12th International Conference on Intelligent Computing(ICIC), pp. 107-115, 2016.
Macmillan Simfukwe, Bo Peng* , Tianrui Li. A Data Fusion-Based Framework for Image Segmentation Evaluation. In 12th International Conference on Intelligent Computing (ICIC), pp. 534-545, 2016.
Bo Peng*, Macmillan Simfukwe, Tianrui Li, Yan Yang. Semi-supervised image segmentation by nearest neighbor region merging. The 12th conference on uncertainty modeling in knowledge engineering and decision making (FLINS). pp. 1143-1148, August, 2016.
Bo Peng*, Macmillan Simfukwe, Yan Yang, Tianrui Li. Perceptual pooling strategies for image segmentation quality evaluation. The 12th conference on uncertainty modeling in knowledge engineering and decision making (FLINS). pp. 918-923, August, 2016.
王昊，彭博*，陈琴，杨燕。一种基于多尺度融合甲状腺结节图像特征提取技术.数据采集与处理，第311卷，第5期，1004-1009页, 2016.
Haoqian Wang, Chenxue Xu, Xingzheng Wang, Yongbing Zhang, Bo Peng. Light Field Imaging Based Accurate Image Specular Highlight Removal. PLOS ONE, 11(6),e**, 2016. (SCI)
韩晓涛，杨燕，彭博，陈琴。基于TI-RADS的甲状腺结节超声图像特征提取技术研究。计算机科学，42(11A):126-130，2015。
田红梅，彭博*，李天瑞，谢宗霞。基于监督学习的日冕暗化检测与提取算法。计算机科学，第42卷，第5期，47-50页，2015。
Hongjun Wang, Yinghui Zhang, Ruihua Nie, Yan Yang, Bo Peng, Tianrui Li. Bayesian image segmentation fusion. Knowledge-Based Systems. 2014,71,162-168. (SCI)
Jian Lin, Bo Peng*, Tianrui Li. A Learning-Based Framework for Supervised and Unsupervised Image Segmentation Evaluation. International Journal of Image and Graphics, Vol 14, No 3, Jul 2014.
Hongmei Tian, Bo Peng*, Tianrui Li, Qin Chen. A Novel Graph Cut Algorithm for Weak Boundary Object Segmentation. Proceedings of the Eighth International Conference on Intelligent Systems and Knowledge Engineering, Shenzhen, China, Nov 2013 (ISKE 2013). pp 263-271, 2013. (best poster paper award)
Bo Peng*, Tianrui Li. A Probabilistic Measure for Quantitative Evaluation of Image Segmentation. IEEE Signal Processing Letters. 20(7), 689-692, 2013. (SCI)
Bo Peng, Lei Zhang and David Zhang. A Survey of Graph Theoretical Approaches to Image Segmentation. Pattern Recognition (PR),44 (10-11), 2527-2538, 2013. (SCI)(ESI高被引论文)
Jian Lin, Bo Peng*, Tianrui Li, Qin Chen. A Learning-Based Framework for Image Segmentation Evaluation. The 5th International Conference on Intelligent Networking and Collaborative Systems (INCoS), pp. 691– 696, 2013.
Khai Nguyen, Bo Peng*, Tianrui Li, Qin Chen. Online Evaluation System of Image Segmentation. Proceedings of the Eighth International Conference on Intelligent Systems and Knowledge Engineering, Shenzhen, China, Nov 2013 (ISKE 2013), pp 527-536, 2013.
Zhanghui Kuang, Dirk Schnieders, Hao Zhou, Kwan-Yee K. Wong, Yizhou Yu, Bo Peng. Learning Image-Specific Parameters for Interactive Segmentation. IEEE International Conference on Computer Vision and Pattern Recognition(CVPR), 2012.
Bo Peng, Lei Zhang, Evaluation of Image Segmentation Quality by Adaptive Ground Truth Composition. In European Conference on Computer Vision (ECCV), Part III, LNCS 7574, pp. 287-300,2012. (计算机视觉三大会议之一) (paper) (code)
Yahui Liu, Bo Peng, Guangming Lu, “Unsupervised Image Segmentation via L1-Norm Minimization Learning”,International Conference on Computers and Advanced Technology in Education (ICCATE) 2011.
Bo Peng, Lei Zhang and David Zhang, "Automatic Image Segmentation by Dynamic Region Merging", IEEE Trans. on Image Processing (TIP), Vol. 12, no. 12, pp. 3592-3605, 2011. (SCI) (paper) (software)
Bo Peng, Lei Zhang, David Zhang and Jian Yang, Image Segmentation by Iterated Region Merging with Localized Graph Cuts. Pattern Recognition (PR), Volume 44, Issues 10-11, Pages 2527-2538, 2011. (SCI) (paper) (software)
Bo Peng, Lei Zhang and Jian Yang, Iterated Graph Cuts for Image Segmentation. The Ninth Asian Conference on Computer Vision (ACCV), pp.677-686, 2009. (EI) (paper)
Bo Peng, Olga Veksler. "Parameter selection for graph cut based image segmentation". British Machine Vision Conference (BMVC), pp.153-162, 2008. (paper)

研究领域
计算机视觉：图像语义分割、图像弱监督分割、图像目标检测、图像对抗生成
应用领域：医学图像处理、公路病害识别与检测、天文日冕图像分析、人像美化和编辑

专利
暂无内容

著作成果
暂无内容

Copyright ? 2019 西南交通大学. All Rights Reserved.蜀ICP备**号
地址：中国四川省成都市高新区西部园区西南交通大学
川公网安备061号
技术支持：信息化与网络管理处

个人信息Personal Information 所在单位： 计算机与人工智能学院
办公地点： 西南交通大学计算机与人工智能学院软件工程系
联系方式： 通信地址：四川省成都市高新区西部园区西南交通大学计算机宇人工智能学院邮箱：bpeng at home.swjtu.edu.cn办公电话：
其他任职： 博导
主要任职： 副教授

扫描关注

论文成果当前位置：中文主页 >> 科学研究 >> 论文成果
学术论文 (按时间顺序, *表示通讯作者)
Zaid Al-Huda, Bo Peng*, Yan Yang, Riyadh Nazar Ali Algburi. Weakly Supervised Semantic Segmentation by Iteratively Refining Optimal Segmentation with Deep Cues Guidance. Neural Computing and Applications. 2021
Bo Peng*, Zaid Al-Huda, Zhuyang Xie, Xi Wu. Multi-scale region composition of hierarchical image segmentation. Multimedia Tools and Applications. 79, pages32833–32855, 2020 DOI: https://doi.org/10.1007/s11042-020-09346-y
Zaid Al-Huda, Bo Peng*, Yan Yang, Riyadh Nazar Ali Algburi. Object Scale Selection of Hierarchical Image Segmentation with Deep Seeds. IET image processing. Volume15, Issue1，January 2021，Pages 191-205 https://doi.org/10.1049/ipr2.12020
Zhuyang Xie, Junzhou Chen, Bo Peng. Point clouds learning with attention-based graph convolution networks. Neurocomputing, 402: 245-255, 2020
Hao Wang, Yan Yang, Xiaobo Zhang, Bo Peng. Parallel multi-view concept clustering in distributed computing[J]. Neural Computing and Applications, 2019(6).
Zaid Al-Huda, Bo Peng*, Yan Yang, Muqeet Ahmed. Object Scale Selection of Hierarchical Image Segmentation Using Reliable Regions. ISKE, 2019.
Cong Gou, Bo Peng*, Tianrui Li and Ziping Gao. Pavement Crack Detection Based on the Improved Faster-RCNN, ISKE, 2019.
Ziping Gao, Bo Peng*, Tianrui Li. Text detection by Fusing Text Edge Semantics in Arbitrary Shapes, ISKE,2019.
Chao Wang, Bo Peng*, Xun Gong, Zeng Yu and Tianrui Li. Evaluating Segmentation Quality via Reference Segmentations in Tree-like Structure, ISKE, 2019
Xiaojun Ma, Bo Peng*, Xun Gong, Zeng Yu and Tianrui Li. Hierarchical Region Merging for Multi-scale Image Segmentation, ISKE, 2019.
Zhuyang Xie, Bo Peng*, Junzhou Chen. Point Cloulds Learning Using Directed Connected Graph, ISKE, 2019.
Hongtao He, Bo Peng*, Junzhou Chen. Image Segmentation Based on Similarity of Hierarchical Regions, ISKE, 2019.
HaoWang, YanYang*, Xiaobo Zhang, Bo Peng. Parallel multi-view concept clustering in distributed computing，Neural Computing and Applications. 2019
Ziping Gao, Bo Peng*, Tianrui Li and Cong Gou. Generative Adversarial Networks for Road Crack Image Segmentation. International Joint Conference on Neural Networks (IJCNN), 2019
Bo Peng*, Macmillan Simfukwe,Tianrui Li. Region based image segmentation evaluation via perceptual pooling strategies. Machine Vision and Applications. 29:477–488,2018(SCI)
Bo Peng*, Lei Zhang, Xuanqin Mou, Ming-Hsuan Yang.Evaluation of Segmentation Quality via Adaptive Composition of Reference Segmentations. IEEE Transactions on Pattern Analysis & Machine Intelligence, 39(10):1929-1941, 2017.(SCI)
Y.H. Yang, H.M. Tian, B. Peng*, T.R. Li, Z.X. Xie. Multi-Label Learning for Detection of CME-Associated Phenomena. Solar Physics,292(9):131,2017. (SCI)
M. Simfukwe, B. Peng*, T. Li, D. Kunda. HOSUR: A Novel Measure for Evaluation of Image Segmentation Quality. Proceedings of the IEEE International Conference in Information and Communication Technologies. September 2017.
Macmillan Simfukwe, Bo Peng* and Tianrui Li. H2: Fusion Of HOG and Harris Features For Image Segmentation Evaluation. International Conference on Intelligent Systems and Knowledge Engineering(ISKE), 2017.
Hao Wang, Bo Peng*, Yan Yang, Qin Chen. A thyriod nodule grading technology based on TI-RADS. Proceedings of the Ninth International Conference on Digital Image Processing (ICDIP), Volume 10420, **, Hong Kong, July 2, 2017.
Bo Peng*, Xingzheng Wang, Yan Yang. Region based exemplar references for image segmentation evaluation. IEEE Signal processing letters, 23(4):459-462, 2016. (SCI)
Waleed M. H. Alrubaidi, Bo Peng*, Yan Yang, Qin Chen. An Interactive Segmentation Algorithm for Thyroid Nodules in Ultrasound Images. In 12th International Conference on Intelligent Computing(ICIC), pp. 107-115, 2016.
Macmillan Simfukwe, Bo Peng* , Tianrui Li. A Data Fusion-Based Framework for Image Segmentation Evaluation. In 12th International Conference on Intelligent Computing (ICIC), pp. 534-545, 2016.
Bo Peng*, Macmillan Simfukwe, Tianrui Li, Yan Yang. Semi-supervised image segmentation by nearest neighbor region merging. The 12th conference on uncertainty modeling in knowledge engineering and decision making (FLINS). pp. 1143-1148, August, 2016.
Bo Peng*, Macmillan Simfukwe, Yan Yang, Tianrui Li. Perceptual pooling strategies for image segmentation quality evaluation. The 12th conference on uncertainty modeling in knowledge engineering and decision making (FLINS). pp. 918-923, August, 2016.
王昊，彭博*，陈琴，杨燕。一种基于多尺度融合甲状腺结节图像特征提取技术.数据采集与处理，第311卷，第5期，1004-1009页, 2016.
Haoqian Wang, Chenxue Xu, Xingzheng Wang, Yongbing Zhang, Bo Peng. Light Field Imaging Based Accurate Image Specular Highlight Removal. PLOS ONE, 11(6),e**, 2016. (SCI)
韩晓涛，杨燕，彭博，陈琴。基于TI-RADS的甲状腺结节超声图像特征提取技术研究。计算机科学，42(11A):126-130，2015。
田红梅，彭博*，李天瑞，谢宗霞。基于监督学习的日冕暗化检测与提取算法。计算机科学，第42卷，第5期，47-50页，2015。
Hongjun Wang, Yinghui Zhang, Ruihua Nie, Yan Yang, Bo Peng, Tianrui Li. Bayesian image segmentation fusion. Knowledge-Based Systems. 2014,71,162-168. (SCI)
Jian Lin, Bo Peng*, Tianrui Li. A Learning-Based Framework for Supervised and Unsupervised Image Segmentation Evaluation. International Journal of Image and Graphics, Vol 14, No 3, Jul 2014.
Hongmei Tian, Bo Peng*, Tianrui Li, Qin Chen. A Novel Graph Cut Algorithm for Weak Boundary Object Segmentation. Proceedings of the Eighth International Conference on Intelligent Systems and Knowledge Engineering, Shenzhen, China, Nov 2013 (ISKE 2013). pp 263-271, 2013. (best poster paper award)
Bo Peng*, Tianrui Li. A Probabilistic Measure for Quantitative Evaluation of Image Segmentation. IEEE Signal Processing Letters. 20(7), 689-692, 2013. (SCI)
Bo Peng, Lei Zhang and David Zhang. A Survey of Graph Theoretical Approaches to Image Segmentation. Pattern Recognition (PR),44 (10-11), 2527-2538, 2013. (SCI)(ESI高被引论文)
Jian Lin, Bo Peng*, Tianrui Li, Qin Chen. A Learning-Based Framework for Image Segmentation Evaluation. The 5th International Conference on Intelligent Networking and Collaborative Systems (INCoS), pp. 691– 696, 2013.
Khai Nguyen, Bo Peng*, Tianrui Li, Qin Chen. Online Evaluation System of Image Segmentation. Proceedings of the Eighth International Conference on Intelligent Systems and Knowledge Engineering, Shenzhen, China, Nov 2013 (ISKE 2013), pp 527-536, 2013.
Zhanghui Kuang, Dirk Schnieders, Hao Zhou, Kwan-Yee K. Wong, Yizhou Yu, Bo Peng. Learning Image-Specific Parameters for Interactive Segmentation. IEEE International Conference on Computer Vision and Pattern Recognition(CVPR), 2012.
Bo Peng, Lei Zhang, Evaluation of Image Segmentation Quality by Adaptive Ground Truth Composition. In European Conference on Computer Vision (ECCV), Part III, LNCS 7574, pp. 287-300,2012. (计算机视觉三大会议之一) (paper) (code)
Yahui Liu, Bo Peng, Guangming Lu, “Unsupervised Image Segmentation via L1-Norm Minimization Learning”,International Conference on Computers and Advanced Technology in Education (ICCATE) 2011.
Bo Peng, Lei Zhang and David Zhang, "Automatic Image Segmentation by Dynamic Region Merging", IEEE Trans. on Image Processing (TIP), Vol. 12, no. 12, pp. 3592-3605, 2011. (SCI) (paper) (software)
Bo Peng, Lei Zhang, David Zhang and Jian Yang, Image Segmentation by Iterated Region Merging with Localized Graph Cuts. Pattern Recognition (PR), Volume 44, Issues 10-11, Pages 2527-2538, 2011. (SCI) (paper) (software)
Bo Peng, Lei Zhang and Jian Yang, Iterated Graph Cuts for Image Segmentation. The Ninth Asian Conference on Computer Vision (ACCV), pp.677-686, 2009. (EI) (paper)
Bo Peng, Olga Veksler. "Parameter selection for graph cut based image segmentation". British Machine Vision Conference (BMVC), pp.153-162, 2008. (paper)

Copyright ? 2019 西南交通大学. All Rights Reserved.蜀ICP备**号
地址：中国四川省成都市高新区西部园区西南交通大学
川公网安备061号
技术支持：信息化与网络管理处

个人信息Personal Information 所在单位： 计算机与人工智能学院
办公地点： 西南交通大学计算机与人工智能学院软件工程系
联系方式： 通信地址：四川省成都市高新区西部园区西南交通大学计算机宇人工智能学院邮箱：bpeng at home.swjtu.edu.cn办公电话：
其他任职： 博导
主要任职： 副教授

扫描关注

研究领域当前位置：中文主页 >> 科学研究 >> 研究领域
计算机视觉：图像语义分割、图像弱监督分割、图像目标检测、图像对抗生成
应用领域：医学图像处理、公路病害识别与检测、天文日冕图像分析、人像美化和编辑

Copyright ? 2019 西南交通大学. All Rights Reserved.蜀ICP备**号
地址：中国四川省成都市高新区西部园区西南交通大学
川公网安备061号
技术支持：信息化与网络管理处

个人信息Personal Information 所在单位： 计算机与人工智能学院
办公地点： 西南交通大学计算机与人工智能学院软件工程系
联系方式： 通信地址：四川省成都市高新区西部园区西南交通大学计算机宇人工智能学院邮箱：bpeng at home.swjtu.edu.cn办公电话：
其他任职： 博导
主要任职： 副教授

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Copyright ? 2019 西南交通大学. All Rights Reserved.蜀ICP备**号
地址：中国四川省成都市高新区西部园区西南交通大学
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个人信息Personal Information 所在单位： 计算机与人工智能学院
办公地点： 西南交通大学计算机与人工智能学院软件工程系
联系方式： 通信地址：四川省成都市高新区西部园区西南交通大学计算机宇人工智能学院邮箱：bpeng at home.swjtu.edu.cn办公电话：
其他任职： 博导
主要任职： 副教授

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Copyright ? 2019 西南交通大学. All Rights Reserved.蜀ICP备**号
地址：中国四川省成都市高新区西部园区西南交通大学
川公网安备061号
技术支持：信息化与网络管理处

个人信息Personal Information 所在单位： 计算机与人工智能学院
办公地点： 西南交通大学计算机与人工智能学院软件工程系
联系方式： 通信地址：四川省成都市高新区西部园区西南交通大学计算机宇人工智能学院邮箱：bpeng at home.swjtu.edu.cn办公电话：
其他任职： 博导
主要任职： 副教授

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授课信息
高级人工智能 /2021-2022 /春学期 /B**
计算机视觉 /2021-2022 /春学期 /B**
Procedural Programming （全英文） /pp
Algorithms and Data Structures I （全英文） /aas

教学成果
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Copyright ? 2019 西南交通大学. All Rights Reserved.蜀ICP备**号
地址：中国四川省成都市高新区西部园区西南交通大学
川公网安备061号
技术支持：信息化与网络管理处