李培华 - 大连理工大学 - 信息与通信工程学院

个人简介

李培华, 大连理工大学信息与通信工程学院教授. 2003年获哈尔滨工业大学博士学位, 博士论文获全国优秀博士学位论文提名奖；之后在法国INRIA/IRISA，Rennes从事博士后研究. 获得黑龙江省青年科技奖(2009), 入选教育部新世纪优秀人才支持计划(2010), 获中国人工智能学会优秀博士论文指导教师(2020). 所带领的团队于2018年获CVPR大规模细粒度八千类物种识别竞赛冠军(1/59), 2015年获阿里巴巴大规模图像搜索竞赛第2名(2/843), 2008年获虹膜识别国际评测NICE第4名(4/97). 研究内容包括深度学习、计算机视觉和模式识别, 主要研究兴趣为图像/视频识别、目标检测和语义分割. 作为项目负责人, 主持包括国家自然科学基金、教育部科学技术重点项目和企业合作项目等十几项. 在IEEE TPAMI/TIP/TCSVT、PR和ICCV/CVPR/ECCV/NeurIPS等国际期刊和会议发表几十篇论文. 担任国际期刊《IEEE图像处理汇刊(IEEE TIP)》Assoicate Editor (AE).

研究领域

研究内容包括深度学习、计算机视觉和模式识别, 主要研究兴趣为图像/视频识别、目标检测和语义分割

近期论文

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Jiangtao Xie*, Fei Long*, Jiaming Lv, Qilong Wang, Peihua Li. Joint Distribution Matters: Deep Brownian Distance Covariance for Few-Shot Classification. IEEE Int. Conf. on Computer Vision and Pattern Recognition (CVPR), 2022. *Equal contribution. (Oral presentation, acceptance rate ~5%) [Project][code][pdf][video] Qilong Wang, Mingze Gao, Zhaolin Zhang, Jiangtao Xie, Peihua Li, Qinghua Hu. DropCov: A Simple yet Effective Method for Improving Deep Architectures. Advances in Neural Information Processing Systems (NeurIPS), 2022. [Code][pdf] Zilin Gao, Qilong Wang, Bingbing Zhang, Qinghua Hu and Peihua Li. Temporal-adaptive Covariance Pooling Networks for Video Recognition. Advances in Neural Information Processing Systems (NeurIPS), 2021. [Code][pdf] Qilong Wang, Jiangtao Xie, Wangmeng Zuo, Lei Zhang and Peihua Li. Deep CNNs Meet Global Covariance Pooling: Better Representation and Generalization. IEEE Trans. on Pattern Analysis and Machine Intelligence (TPAMI), 2021. [Project Page][pdf][bibtex] Qilong Wang, Li Zhang, Banggu Wu, Dongwei Ren, Peihua Li, Wangmeng Zuo, Qinghua Hu. What Deep CNNs Benefit from Global Covariance Pooling: An Optimization Perspective. IEEE Int. Conf. on Computer Vision and Pattern Recognition (CVPR), 2020. [Code][pdf] Zilin Gao, Jiangtao Xie, Qilong Wang and Peihua Li. Global Second-order Pooling Convolutional Networks. IEEE Int. Conf. on Computer Vision and Pattern Recognition (CVPR), 2019. [Code in PyTorch][pdf][bibtex] Qilong Wang, Peihua Li, Qinghua Hu, Pengfei Zhu, Wangmeng Zuo. Deep Global Generalized Gaussian Networks. IEEE Int. Conf. on Computer Vision and Pattern Recognition (CVPR), 2019.[pdf][bibtex] Peihua Li, Jiangtao Xie, Qilong Wang and Zilin Gao. Towards Faster Training of Global Covariance Pooling Networks by Iterative Matrix Square Root Normalization. IEEE Int. Conf. on Computer Vision and Pattern Recognition (CVPR), pp. 947-955, 2018. [Code in PyTorch][Code in TensorFlow][Code in MatConvNet][pdf][bibtex] Peihua Li, Jiangtao Xie, Qilong Wang and Wangmeng Zuo. Is Second-order Information Helpful for Large-scale Visual Recognition? IEEE Int. Conf. on Computer Vision (ICCV), pp. 2070-2078, 2017. [Code in MatConvNet][pdf][bibtex] Qilong Wang*, Zilin Gao*, Jiangtao Xie, Wangmeng Zuo and Peihua Li. Global Gated Mixture of Second-order Pooling for Improving Deep Convolutional Neural Networks. Advances in Neural Information Processing Systems (NIPS), 2018. *Equal contribution. [Code in PyTorch] [pdf][bibtex] Peihua Li, Qilong Wang, Hui Zeng, Lei Zhang. Local Log-Euclidean Multivariate Gaussian Descriptor and Its Application to Image Classification. IEEE Trans. on Pattern Analysis and Machine Intelligence (TPAMI), 39(4): 803-817, 2017. [pdf][code][bibtex] Qilong Wang, Peihua Li, Lei Zhang. G2DeNet: Global Gaussian Distribution Embedding Network and Its Application to Visual Recognition. Int. Conf. on Computer Vision and Pattern Recognition (CVPR), pp. 2730-2739, 2017. (Oral presentation, acceptance rate 2.7%) [pdf][code][bibtex] Qilong Wang, Peihua Li, Wangmeng Zuo, Lei Zhang. RAID-G: Robust Estimation of Approximate Infinite Dimensional Gaussian with Application to Materiel Recognition. Int. Conf. on Computer Vision and Pattern Recognition (CVPR), pp. 4433-4441, 2016. [pdf][code][bibtex][Slides][poster] Peihua Li, Hui Zeng, Qilong Wang, Simon C. K. Shiu, Lei Zhang. High-order Local Pooling and Encoding Gaussians Over A Dictionary of Gaussians. IEEE Trans. on Image Processing (TIP), 26(7):3372-3384, 2017. [pdf] [code][bibtex] Peihua Li, Xiaoxiao Lu, Qilong Wang. From Dictionary of Visual Words to Subspaces: Locality-constrained Affine Subspace Coding. Int. Conf. on Computer Vision and Pattern Recognition (CVPR), 2015.[pdf] [Project] [bibtex] Qilong Wang, Wangmeng Zuo, Lei Zhang, Peihua Li. Shrinkage Expansion Adaptive Metric Learning. European Conf. on Computer Vision, ECCV (7) 2014 : 456-471 [pdf, supplement, code] Peihua Li, Qilong Wang, Lei Zhang. A Novel Earth Mover's Distance Methodology for Image Matching with Gaussian Mixture Models. IEEE Int. Conf. on Computer Vision (ICCV), 2013. [Project page] Peihua Li, Qilong Wang, Wangmeng Zuo, Lei Zhang. Log-Euclidean Kernels for Sparse Representation and Dictionary Learning. IEEE Int. Conf. on Computer Vision (ICCV), 2013. [Project page] Peihua Li. Tensor-SIFT based Earth Mover's Distance for Contour Tracking. Journal of Mathematical Imaging and Vision, 2013, 46(1): 44-65. Technical Report. [pdf]. Peihua Li, Qilong Wang. Local Log-Euclidean Covariance Matrix (L2ECM) for Image Representation and Its Applications. European Conf. on Computer Vision, ECCV (3) 2012 : 469-482.