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吴庆波

副教授

智能视觉信息处理与通信实验室

qbwu@uestc.edu.cn

English Version
个人简介:

    2015年12月在电子科技大学获得信号与信息处理专业博士学位,并于2016年1月进入电子科技大学工作,2018年入选电子科技大学“基础研究星火计划”。近五年研究主要集中于图像的感知质量评价理论、图像增强与恢复模型、感知驱动的深度神经网络等领域,共发表学术论文63篇。其中,在IEEE Transactions等SCI期刊上以第一作者发表论文12篇(包括ESI高被引论文1篇),以及多篇EI检索的会议论文,共被引619次(Google Scholar,截止2018年9月)。相关工作先后荣获IEEE ICIP Top 10% Paper Award, IEEE VCIP Top 10% Paper Award等奖项。担任IEEE VCIP 2016区域主席,以及IEEE Trans. on Image Processing,IEEE Trans. on Multimedia,IEEE Trans. on Circuits and Systems for Video Technology等多个学术期刊审稿人。目前,主持国家自然科学基金青年基金1项,并参与国家自然科学基金重点项目、面上项目,四川省青年科技创新团队项目等多个科研项目。 


研究方向:
图像与视频编码、图像与视频质量评价、视觉感知模型、图像增强等

论文成果:
  • 1.Hengcan Shi, Hongliang Li, Qingbo Wu and Zichen Song,“Scene Parsing via Integrated Classification Model and Variance-Based Regularization,”IEEE Conference on Computer Vision and Pattern Recognition. Long Beach, the U.S. June 16-20, 2019. (Accepted)
  • 2.Li Wei ,Li Hongliang,Wu Qingbo,Chen Xiaoyu,Ngan King Ngi,“Simultaneously Detecting and Counting Dense Vehicles from Drone Images”IEEE Transactions on Industrial Electronics, pp.1-1,February 2019. [PDF] [PROJECT]
  • 3.Li Wei,Li Hongliang,Wu Qingbo,Meng Fanman,Xu Linfeng,Ngan King Ngi,“HeadNet: An End-to-end Adaptive Relational Network for Head Detection”IEEE Transactions on Circuits and Systems for Video Technology, pp.1-1, 02 January 2019. [PDF]
  • 4.F. Meng, L. Guo, Q. Wu and H. Li, "A New Deep Segmentation Quality Assessment Network for Refining Bounding Box Based Segmentation," in IEEE Access, vol. 7, pp. 59514-59523, 2019.
  • 5.Yuwei Yang, Fanman Meng, Hongliang Li, King N.Ngan and Qingbo Wu, “A New Few-shot Segmentation Network Based on Class Representation” in 2019 IEEE International Conference on Visual Communications and Image Processing.
  • 6.Xiaolong Xu, Fanman Meng, Hongliang Li, Qingbo Wu, Yuwei Yang and Shuai Chen, “Bounding Box based Annotation Generation for Semantic Segmentation by Boundary Detection.” in 2019 International Symposium Intelligent Signal Processing and Communication Systems.
  • 7.Kaixu Huang, Fanman Meng, Hongliang Li, Shuai Chen, Qingbo Wu and King N.Ngan, “Class Activation Map generation by Multiple Level Class Grouping and Orthogonal Constraint” in 2019 International Conference on Digital Image Computing Techniques and Applications.
  • 8.Yuwei Yang, Fanman Meng, Hongliang Li, Qingbo Wu, Xiaolong Xu and Shuai Chen, “A New Local Transformation Module for Few-shot Segmentation” in 2020 International Conference on MultiMedia Modeling.
  • 9.Ma L, Li H, Meng F, Wu Q, Ngan K N ,”Discriminative Deep Metric Learning for Asymmetric Discrete Hashing”[J]. Neurocomputing, 2019.
  • 10.Qingbo Wu, Lei Wang,King N. Ngan, Hongliang Li,Fanman Meng,” Beyond Synthetic Data: A Blind Deraining Quality Assessment Metric Towards Authentic Rain Image” 2019 IEEE International Conference on Image Processing (ICIP). IEEE, 2019: 2364-2368.
  • 11.Shang C, Wu Q, Meng F, Xu L.,”Instance Segmentation by Learning Deep Feature in Embedding Space”2019 IEEE International Conference on Image Processing (ICIP). IEEE, 2019: 2444-2448.
  • 12.Wu Qingbo,Ma Rui,Ngan King Ngi,Li Hongliang,Meng Fanman,” Blind Image Sharpness Assessment And Enhancement via Deep Auxiliary Learning” 2019 IEEE International Conference on Multimedia and Expo (ICME), 2019: 1852-1857.
  • 13.Heqian Qiu, Hongliang Li,Qingbo Wu,Fanman Meng,King Ngi Ngan,Hengcan Shi,” A2RMNet: Adaptively Aspect Ratio Multi-Scale Network for Object Detection in Remote Sensing Images”, Remote Sensing, Vol.11(13), p.1594, 01 July 2019.
  • 14.Qingbo Wu, Hongliang Li, Fanman Meng, and King N. Ngan, "A Perceptually Weighted Rank Correlation Indicator for Objective Image Quality Assessment", IEEE Transactions on Image Processing, vol. 27, no. 5, pp. 2499 - 2513, May 2018. [PDF] [CODE]
  • 15.Qingbo Wu, Hongliang Li, Fanman Meng, and King N. Ngan, "Towards A Blind Quality Metric for Temporally Distorted Streaming Video", IEEE Transactions on Broadcasting, vol. 64, no. 2, pp. 367 - 378, June 2018. [PDF] [CODE]
  • 16.Hengcan Shi, Hongliang Li, Fanman Meng, Qingbo Wu, Linfeng Xu, King N. Ngan, "Hierarchical Parsing Net: Semantic Scene Parsing from Global Scene to Objects", IEEE Transactions on Multimedia, vol. 20, no. 10, pp. 2670 - 2682, 2018.
  • 17.Qingbo Wu, Hongliang Li, King N. Ngan, and Kede Ma, “Blind Image Quality Assessment Using Local Consistency Aware Retriever and Uncertainty Aware Evaluator”, IEEE Transactions on Circuits and Systems for Video Technology, vol. 28, no.9, pp. 2078 - 2089, Sep. 2018. [PDF]
  • 18.Bing Luo, Hongliang Li ; Fanman Meng ; Qingbo Wu ; King Ngi Ngan, “An Unsupervised Method to Extract Video Object via Complexity Awareness and Object Local Parts”, IEEE Transactions on Circuits and Systems for Video Technology, vol. 28, no.7, pp. 1580 - 1594, July 2018.
  • 19.Tiecheng Song, Hongliang Li, Fanman Meng, Qingbo Wu, and Jianfei Cai, "LETRIST: Locally Encoded Transform Feature Histogram for Rotation-Invariant Texture Classification", IEEE Transactions on Circuits and Systems for Video Technology, vol. 28, no.7, pp. 1565 - 1579, 2018.
  • 20.Qingbo Wu, Hongliang Li, Fanman Meng, and King N. Ngan, “Generic Proposal Evaluator: A Lazy Learning Strategy Towards Blind Proposal Quality Assessment”, IEEE Transactions on Intelligent Transportation Systems, vol. 19, no. 1, pp. 306-319, Jan. 2018. [PDF] [CODE]
  • 21.Fanman Meng, Hongliang Li, Qingbo Wu, and King Ngi Ngan, “Seeds based Part Segmentation by Seeds Propagation and Region Convexity Decomposition”, IEEE Transactions on Multimedia, vol. 20, no. 2, pp. 310-322, Feb. 2018.
  • 22.Fanman Meng, Hongliang Li, Qingbo Wu, Bing Luo, Chao Huang, and King Ngi Ngan, “Globally Measuring the Similarity of Superpixels by Binary Edge Maps for Superpixel Clustering”, IEEE Transactions on Circuits and Systems for Video Technology, vol. 28, no.4, pp. 906-919, Apr. 2018.
  • 23.Hengcan Shi, Hongliang Li, Qingbo Wu, Fanman Meng, and King Ngi Ngan, “Boosting scene parsing performance via reliable scale prediction,” 26th ACM international conference on Multimedia. Seoul, Korea, October 22 - 26, 2018.
  • 24.Hengcan Shi, Hongliang Li, Fanman Meng, Qingbo Wu, “Key-Word-Aware Network for Referring Expression Image Segmentation”, 15th European Conference on Computer Vision, Munich, Germany, September 8 -14, 2018.
  • 25.Lei Ma, Hongliang Li, Fanman Meng, Qingbo Wu, King Ngi Ngan, “Learning Efficient Binary Codes From High-Level Feature Representations for Multilabel Image Retrieval”, IEEE Transactions on Multimedia, vol. 19, no. 11, pp. 2545-2560, November 2017.
  • 26.Qingbo Wu, Hongliang Li, Zhou Wang, Fanman Meng, Bing Luo, Wei Li, and King N. Ngan, “Blind Image Quality Assessment Based on Rank-Order Regularized Regression”, IEEE Transactions on Multimedia, vol. 19, no. 11, pp. 2490-2504, November 2017. [PDF]
  • 27.Fanman Meng, Hongliang Li, Qingbo Wu, Bing Luo, and King Ngi Ngan, “Weakly Supervised Part Proposal Segmentation from Multiple Images”, IEEE Transactions on Image Processing, vol. 26, no. 8, pp. 4019 – 4031, 2017.
  • 28.Bing Luo, Hongliang Li, Fanman Meng, Qingbo Wu, and Chao Huang, "Video Object Segmentation via Global Consistency Aware Query Strategy", IEEE Transactions on Multimedia, vol. 19, no. 7, pp. 1482 – 1493, 2017.
  • 29.Chao Huang, Hongliang Li, Yurui Xie, Qingbo Wu and Bing Luo, “PBC: Polygon-Based Classifier for Fine-Grained Categorization”, IEEE Transactions on Multimedia, vol.19, no. 04, pp. 673 – 684, 2017.
  • 30.Liangzhi Tang, Qingbo Wu, Wei Li, and Yinan Liu, "Deep Saliency Quality Assessment Network with Joint Metricn", IEEE Access, In Press, Nov. 2017.
  • 31.Yinan Liu, Qingbo Wu, Liangzhi Tang, and Hengcan Shi, "Gaze-Assisted Multi-Stream Deep Neural Network for Action Recognition", IEEE Access, vol. 5, pp. 19432-19441, Sept. 2017.
  • 32.Tiecheng Song, Jianfei Cai, Tianqi Zhang, Chenqiang Gao, Fanman Meng, and Qingbo Wu, "Semi-Supervised Manifold-Embedded Hashing with Joint Feature Representation and Classifier Learning", Pattern Recognition, vol. 68, pp. 99-110, Aug. 2017.
  • 33.Qingbo Wu, Hongliang Li, King N. Ngan and Linfeng Xu, "Blind Proposal Quality Assessment via Deep Objectness Representation and Local Linear Regression", IEEE International Conference on Multimedia & Expo (ICME 2017), Hong Kong, China, Jul. 10 - 14, 2017. (Oral) [PDF]
  • 34.Jiheng Wang, Qingbo Wu, Abdul Rehman, Shiqi Wang, and Zhou Wang, "Blind Quality Prediction of Stereoscopic 3D Images", IS&T/SPIE Electronic Imaging: Human Vision and Electronic Imaging (EI 2017), Burlingame, USA, Jan. 29 - Feb. 02, 2017.
  • 35.Kede Ma, Zhengfang Duanmu, Qingbo Wu, Zhou Wang, Hongwei Yong, Hongliang Li, and Lei Zhang, “Waterloo Exploration Database: New Challenges for Image Quality Assessment Models,” IEEE Transactions on Image Processing, vol. 26, no. 2, pp. 1004 – 1016, 2016.
  • 36.Qingbo Wu, Hongliang Li, Fanman Meng, King N. Ngan, Bing Luo, Chao Huang, and Bing Zeng, "Blind Image Quality Assessment Based on Multi-Channel Features Fusion and Label Transfer", IEEE Transactions on Circuits and Systems for Video Technology, vol. 26, no. 3, pp. 425 - 440, 2016.
  • 37.Kede Ma, Qingbo Wu, Zhou Wang, Zhengfang Duanmu, Hongwei Yong, Hongliang Li and Lei Zhang, "Group MAD Competition -- A New Methodology to Compare Objective Image Quality Models", IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2016), Las Vegas, USA, Jun. 27 - Jul. 1, 2016. (Spotlight) [PDF] [PROJECT]
  • 38.Tiecheng Song, Fanman Meng, Qingbo Wu, Bing Luo, Tianqi Zhang, Yongjun Xu, "L2SSP: Robust keypoint description using local second-order statistics with soft-pooling ", Neurocomputing, In Press, Corrected Proof, Available online 10 December 2016.
  • 39.Qingbo Wu, Hongliang Li, Fanman Meng, King N. Ngan, Bing Luo, Chao Huang, Bing Zeng "Blind Image Quality Assessment Based on Multichannel Feature Fusion and Label Transfer ", IEEE Transactions on Circuits and Systems for Video Technology, vol. 26, no. 3, pp. 425-440, 2016. [PDF] [CODE]
  • 40.Qingbo Wu, Hongliang Li and King N. Ngan, "Q-DNN: A Quality-Aware Deep Neural Network for Blind Assessment of Enhanced Images", IEEE International Conference on Visual Communication and Image Processing (VCIP 2016), Chengdu, China, Nov. 27 - 30, 2016. [PDF]
  • 41.Chao Huang, Qingbo Wu, and Fanman Meng, "QualityNet: Segmentation Quality Evaluation with Deep Convolutional Networks", IEEE International Conference on Visual Communication and Image Processing (VCIP 2016), Chengdu, China, Nov. 27 - 30, 2016.
  • 42.Qingbo Wu, Hongliang Li and King N. Ngan, "GIP: Generic Image Prior for No Reference Image Quality Assessment", The Pacific-Rim Conference on Multimedia (PCM 2016), Xi'an, China, Sep. 15 - 16, 2016. [PDF]
  • 43.Jian Xiong, Hongliang. Li, Fanman. Meng, Qingbo Wu and K.N. Ngan, “Fast HEVC Inter CU Decision based on Latent SAD Estimation”, IEEE Transactions on Multimedia, Vol. 17, no. 12, pp. 2147- 2159, Sep. 2015.
  • 44.Qingbo Wu, Hongliang Li, Fanman Meng, King Ngi Ngan, Shuyuan Zhu " No reference image quality assessment metric via multi-domain structural information and piecewise regression", Journal of Visual Communication and Image Representation, Volume 32, October 2015, Pages 205-216. [PDF] [CODE]
  • 45.Tiecheng Song, Hongliang Li, Fanman Meng, Qingbo Wu and Bing Luo, "Exploring space-frequency co-occurrences via local quantized patterns for texture representation", Pattern Recognition, vol. 48, no. 8, Aug. 2015.
  • 46.Qingbo Wu, Zhou Wang and Hongliang Li, "A Highly Efficient Method for Blind Image Quality Assessment", IEEE International Conference on Image Processing (ICIP 2015), Quebec city, Canada, Sep. 27 - 30, 2015. (Top 10% Paper Recognition) [PDF] [CODE]
  • 47.Jian Xiong, Hongliang Li, Fanman Meng, Shuyuan Zhu, Qingbo Wu, and Bing Zeng, "MRF-based Fast HEVC Inter CU Decision with the Variance of Absolute Differences," IEEE Transactions on Multimedia, vol. 16, no. 8, pp. 2141-2153, Dec., 2014.
  • 48.Hongliang Li, Fanman Meng, Qingbo Wu, and Bing Luo, "Unsupervised Multi-class Region Co-segmentation via Ensemble Clustering and Energy Minimization", IEEE Transactions on Circuits and Systems for Video Technology, vol. 24, no. 5, pp. 789-801, May. 2014.
  • 49.Jian Xiong, Hongliang Li, Qingbo Wu, and Fanman Meng, "A Fast HEVC Inter CU Selection Method Based on Pyramid Motion Divergence," IEEE Transactions on Multimedia, vol. 16, no. 2, pp. 559-564, 2014.
  • 50.Qingbo Wu, Jian Xiong, Bing Luo and Zhengning Wang, "A Segmentation Based Chroma Intra Prediction Coding Scheme for H.264/AVC", Circuits, Systems & Signal Processing, vol. 33, no. 3, pp. 939 - 957, Mar. 2014. [PDF]

  • 招生信息:
    081000信息与通信工程
    06方向: 图像与视频处理
    09方向: 机器学习与人工智能
    10方向: 信号与信息智能处理


    奖项荣誉:
    2016年VCIP 2016杰出审稿人奖
    2015年ICIP 2015前10%论文奖
    2014年富通奖学金
    2013年国家奖学金

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    更新时间2019-01-11

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    实验室地址:成都市高新区(西区)西源大道2006号

    电子科技大学信息与通信工程学院

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