武小荷 - 哈尔滨工业大学

个人简介

武小荷，女，博士，哈尔滨工业大学计算学部副教授，硕士生导师。2019年7月获哈尔滨工业大学计算机应用技术专业博士学位。主持一项国家自然科学基金青年基金项目，先后参加完成多项国家自然科学基金等科研项目。主要从事计算机视觉与机器学习方面的相关研究，在计算机视觉领域顶级或重要期刊（IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Neural Networks and Learning Systems, IEEE Transactions on Image Processing等）及会议（CVPR, ECCV等）发表论文15余篇，Google学术引用1600余次。教育经历 2014.09 - 2019.07 哈尔滨工业大学计算机科学与技术工学博士 2016.10 - 2017.10 University of California, Merced 联合培养（合作导师：Ming-Hsuan Yang） 2009.09 - 2013.07 哈尔滨工业大学计算机科学与技术工学学士工作经历 2023.01 - ，哈尔滨工业大学，计算学部，副教授 2021.05 - ，哈尔滨工业大学，计算机科学与技术专业，硕士生导师 2019.07 - 2022.12，哈尔滨工业大学，计算学部，助理教授

研究领域

计算机视觉，机器学习

近期论文

查看导师新发文章（温馨提示：请注意重名现象，建议点开原文通过作者单位确认）

Ming Liu, Yuxiang Wei, Xiaohe Wu, Wangmeng Zuo,Lei Zhang, A Survey on Leveraging Pre-trained Generative Adversarial Networks for Image Editing and Restoration, SCIENCE CHINA Information Sciences (accept), 2023. Jize Zhang, Haolin Wang, Xiaohe Wu*, Wangmeng Zuo, Invertible Network for Unpaired Low-Light Image Enhancement, The Visual Computer (accept), 2022. Qing Miao, Xiaohe Wu, Chao Xu*, WangmengZuo, ZhaopengMeng, On Better Detecting and Leveraging Noisy Samples for Learning with Severe Label Noise, Pattern Recognition (PR),vol.136, April 2023, 209210. Feng Li, Xiaohe Wu*, Wangmeng Zuo, David Zhang, Lei Zhang. Remove Cosine Window from Correlation Filter-based Visual Trackers: When and How. IEEE Transactions on Image Processing. Vol.29, June 2020. (IF=9.34) Wangmeng Zuo, Xiaohe Wu*, Liang Lin, Lei Zhang, Ming-Hsuan Yang. Learning support correlation filters for visual tracking, IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), vol. 41, no. 5, pp. 1158-1172, 1 May 2019. (IF=17.86) Xiaohe Wu, Weisong Wang, Fei Yang*, Hongzhi Zhang, Wangmeng Zuo. Joint learning of Siamese network with top-down modulation and hard example mining for visual tracking. Journal of Electronic Imaging (JEI), vol. 28, No. 05, pp.053034, 2019. (IF=0.884) Xiaohe Wu, Wangmeng Zuo*, Yuanyuan Zhu, Liang Lin. F-SVM: combination of feature transformation and SVM learning via convex relaxation, IEEE Transactions on Neural Network and Learning System (T-NNLS), vol. 29, no. 11, pp. 5185-5199, 2018. (IF=8.79) Ibrahim Omara, Xiaohe Wu, Hongzhi Zhang, Yong Du, Wangmeng Zuo*. Learning Pairwise SVM on Hierarchical Deep Features for Ear Recognition, IET Biometrics, vol. 7, no. 6, pp. 557-566, 11 2018.(IF=1.82) Jiazhi Du, Weigang Lu*, Xiaohe Wu, Junyu Dong, Wangmeng Zuo. L-SVM: A Radius-margin-based SVM algorithm with LogDet Regularization, Expert Systems with Applications, vol. 102, pp.113-125, 2018. (IF=5.45) 会议论文 Li Junyi, Xiaohe Wu*, Zhenxing Niu, Wangmeng Zuo,Unidirectional Video Denoisingby Mimicking Backward Recurrent Modules withLook-ahead Forward Ones, European Conference on Computer Vision (ECCV), vol.13678 LNCS, pp.592-609, 2022. (CCF-B类会议，计算机视觉顶会) Xiaohe Wu, Ming Liu, Yue Cao, Dongwei Ren, Wangmeng Zuo. Unpaired learning of deep image denoising. European Conference on Computer Vision (ECCV), 2020. (CCF-B类会议，计算机视觉顶会) Yingjie Yao, Xiaohe Wu, Lei Zhang, Shiguang Shan and Wangmeng Zuo, Joint Representation and Truncated Inference Learning for Correlation Filter based Tracking, European Conference on Computer Vision (ECCV), v 11213 LNCS, 2018, pp. 560-575. (CCF-B类会议，计算机视觉顶会) Yibing Song, Chao Ma, Xiaohe Wu, Lijun Gong, Linchao Bao, Wangmeng Zuo, Chunhua Shen, Rynson Lau and Ming-Hsuan Yang, VITAL: VIsual Tracking via Adversarial Learning, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018, pp. 8990-8999. (CCF-A类会议，计算机视觉顶会) Yingjie Yao, Xiaohe Wu, Wangmeng Zuo and David Zhang, Learning Siamese Network with Top-Down Modulation for Visual Tracking, International Conference on Intelligence Science and Big Data Engineering (IScIDE), 2018, pp. 378-388. Ibrahim Omara, Xiaohe Wu, Hongzhi Zhang, Yong Du, Wangmeng Zuo. Learning pairwise SVM on deep features for ear recognition, IEEE/ACIS 16th International Conference on Computer and Information Science (ICIS), 2017, pp. 341-346. Yuanyuan Zhu, Xiaohe Wu, Jun Xu, David Zhang, Wangmeng Zuo. Radius-margin based support vector machine with LogDet regularizaron, IEEE International Conference on Machine Learning and Cybernetics (ICMLC), vol. 1, 2015, pp. 277-282.

学术兼职

中国图象图形学学会机器视觉专业委员会 AAAI2020-2022程序委员会委员（CCF-A类会议） IJCAI2021-2022程序委员会委员（CCF-A类会议） CVPR2020-CVPR2022审稿人（CCF-A类会议） ECCV，ICCV审稿人（CCF-A类会议） BMVC，WACV，ACCV，PRCV等会议审稿人 IEEE TIP, TNNLS, TCSVT等审稿人 Neurocomputing审稿人 JEI, SCIS, TCVJ等审稿人