高常鑫

个人信息

Personal information

教授     博士生导师     硕士生导师

性别:男

在职信息:在职

所在单位:人工智能与自动化学院

学历:研究生(博士)毕业

学位:博士学位

毕业院校:华中科技大学

学科:模式识别与智能系统

学术论文

Journal Article

  • Yuanjie Shao, Wenxiao Wu, Xinge You, Changxin Gao, Nong Sang*, "Improving the Generalization of MAML in Few-shot Classification via Bi-level Constraint," IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2022

  • Chuchu Han, Zhedong Zheng, Kai Su, Dongdong Yu, Zehuan Yuan, Changxin Gao, Nong Sang*, Yi Yang, "DMRNet++: Learning Discriminative Features with Decoupled Networks and Enriched Pairs for One-Step Person Search," IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022.

  • Beibei Yang, Changqian Yu, Jin-Gang Yu, Changxin Gao*, Nong Sang, "Pose-Guided Hierarchical Semantic Decomposition and Composition for Human Parsing,IEEE Transactions on Cybernetics (TCYB)2021.

  • Chuchu Han, Xin Yu, Changxin Gao, Nong Sang*, Yi Yang, "Single Image based 3D Human Pose Estimation via Uncertainty Learning,Pattern Recognition (PR), vol. 132, pp.108934, 2022.[paper]

  • Huai Qin, Changqian Yu, Changxin Gao*, Nong Sang, "D2T: A Framework for Transferring Detection to Tracking," Pattern Recognition (PR)vol. 126, pp. 108544, 2022. [paper]

  • Zhixiong Pi, Yuanjie Shao, Changxin GaoNong Sang*, "Instance-based Feature Pyramid for Visual Object Tracking," IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 32(6):2374-3787, 2022.[paper]

  • Changqian Yu, Changxin Gao*, Jingbo Wang, Gang Yu, Chunhua Shen, Nong Sang, "BiSeNet V2: Bilateral Network with Guided Aggregation for Real-time Semantic Segmentation," International Journal of Computer Vision (IJCV), vol. 129, pp. 3051-3068, 2021. [paper] [ESI热点论文][ESI高被引论文]

  • Quanzheng Mou, Longsheng Wei, Conghao Wang, Dapeng Luo*, Songze He, Jing Zhang, Huimin Xu, Chen Luo, Changxin Gao, "Unsupervised Domain-adaptive Scene-specific Pedestrian Detection for Static Video Surveillance," Pattern Recognition (PR)vol. 118, pp. 108038, 2021.

  • Yanrui Bin, Zhao-Min Chen, Xiu-Shen Wei*, Xinya Chen, Changxin Gao, Nong Sang*, "Structure-aware Human Pose Estimation with Graph Convolutional Networks," Pattern recognition (PR), vol. 106, pp. 107410, 2020

  • Changxin Gao, Yang Chen, Jin-Gang Yu, Nong Sang*, "Pose-guided Spatiotemporal Alignment for Video-based Person Re-identification," Information Sciences, vol. 527, pp. 176-190, 2020. [paper]

  • Lerenhan Li, Jinshan Pan, Wei-Sheng Lai, Changxin Gao, Nong Sang, Ming-Hsuan Yang, "Dynamic Scene Deblurring by Depth Guided Model," IEEE Transactions on Image Processing (TIP), vol. 29, pp. 5273-5288, 2020 [paper]

  • Juncai Peng, Yuanjie Shao*, Nong Sang, Changxin Gao, "Joint Image Deblurring and Matching with Feature-based Sparse Representation Prior," Pattern recognition (PR), vol. 103, pp. 107300, 2020.

  • Chuchu Han, Ruochen Zheng, Changxin Gao*, and Nong Sang, "Complementation-Reinforced Attention Network for Person Re-Identification," IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 30(10):3433-3445, 2020. [paper]

  • Shiwei Zhang, Lin Song, Changxin Gao, Nong Sang*, "GLNet: Global Local Network for Weakly Supervised Action Localization,IEEE Transactions on Multimedia (TMM), 22(10):2610-2622, 2020 [paper]

  • Lerenhan Li#, Yulong Dong#, Wenqi Ren, Jinshan Pan, Changxin Gao, Nong Sang*, Ming-Hsuan Yang, "Semi-supervised Image Dehazing," IEEE Transactions on Image Processing (TIP), vol. 29, pp. 2766-2779, 2020 [paper]

  • Jin-Gang Yu, Yansheng Li, Changxin Gao, Hongxia Gao, Gui-Song Xia, Zhu Liang Yu and Yuanqing Li*, "Exemplar-Based Recursive Instance Segmentation With Application to Plant Image Analysis," IEEE Transactions on Image Processing (TIP), vol. 29, pp. 389-404, 2020. [paper]

  • Lerenhan Li, Jinshan Pan, Wei-sheng Lai, Changxin Gao, Nong Sang*, Ming-Hsuan Yang, "Blind Image Deblurring via Deep Discriminative Priors," International Journal of Computer Vision (IJCV), 127(8):1025-1043, 2019 [paper] [project] [code]

  • Yuanjie Shao, Nong Sang*, Changxin Gao, Li Ma, "Spatial and Class Structure Regularized Sparse Representation Graph for Semi-Supervised Hyperspectral Image Classification," Pattern Recognition (PR), vol. 81, pp. 81-94, 2018. [paper]

  • Shiwei Zhang, Changxin Gao, Jing Zhang, Feifei Chen, and Nong Sang*. "Discriminative Part Selection For Human Action Recognition," IEEE Transactions on Multimedia (TMM), 20(4):769-780, 2018 [paper]

  • Jin Wang, Zheng Wang, Chao Liang, Changxin Gao*, Nong Sang. "Equidistance Constrained Metric Learning for Person Re-identification," Pattern Recognition (PR), vol. 74, pp. 38-51, 2018. [paper] [code]

  • Jin Wang, Zheng Wang, Changxin Gao*, Nong Sang, Rui Huang, "DeepList: Learning Deep Features with Adaptive Listwise Constraint for Person Re- identification," IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 27(3):513-524, 2017. [paper] [code]

  • Changxin Gao, Feifei Chen, Jin-Gang Yu, Rui Huang, Nong Sang*. "Robust Visual Tracking Using Exemplar-based Detectors," IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 27(2):300-312, 2017 [paper] [project]

  • Shiwei Zhang, Changxin Gao*, Feifei Chen, Sihui Luo, and Nong Sang. "Group Sparse Based Mid-level Representation For Action Recognition," IEEE Transactions on Systems, Man, and Cybernetics: Systems (TSMC), 47(4):660-672, 2017. [paper]

  • Yuanjie Shao, Nong Sang*, Changxin Gao, Li Ma. "Probabilistic Class Structure Regularized Sparse Representation Graph for Semi-Supervised Hyperspectral Image Classification," Pattern Recognition (PR), vol. 63, pp. 102-114, 2017. [paper]

  • Changxin Gao, Nong Sang, Rui Huang*, "Spatial Multi-scale Gradient Orientation Consistency for Place Instance and Scene Category Recognition," Information Sciences, vol. 372, pp. 84-97, 2016. [paper]

  • Chang Han, Hongyan Zhang*, Changxin Gao, Cheng Jiang, Nong Sang, Liangpei Zhang. "A Remote Sensing Image Fusion Method Based on the Analysis Sparse Model," IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (J-STARS), 9(1):439-453, 2016. [paper]

  • Jun Xiang, Nong Sang, Jianhua Hou, Rui Huang, Changxin Gao*, "Multi-target Tracking Using Hough Forest Random Field," IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 26(11):2028-2042, 2016. [paper] [project]

  • Jin-Gang Yu, Gui-Song Xia, Changxin Gao*, Ashok Samal, "A Computational Model for Object-Based Visual Saliency: Spreading Attention along Gestalt Cues," IEEE Transactions on Multimedia (TMM), 18(2):273-286, 2016 [paper]

Conference Paper

  • Yuhang Wu, Tengteng Huang, Haotian Yao, Chi Zhang, Yuanjie Shao, Chuchu Han, Changxin Gao, Nong Sang, "Multi-Centroid Representation Network for Domain Adaptive Person Re-IDAAAI, 2022

  • Zhixiong Pi, Weitao Wan, Chong Sun, Changxin Gao, Nong Sang*, Chen Li, "Hierarchical Feature Embedding for Visual Tracking,ECCV, 2022[paper]

  • Xinyue Zhou, Mingyu Yin, Xinyuan Chen, Li Sun, Changxin Gao, Qingli Li, "Cross Attention Based Style Distribution for Controllable Person Image Synthesis,ECCV, 2022

  • Zhiwu Qing, Shiwei Zhang*, Ziyuan Huang, Yi Xu, Xiang Wang, Mingqian Tang, Changxin Gao*, Rong Jin, Nong Sang, "Learning from Untrimmed Videos: Self-Supervised Video Representation Learning with Hierarchical Consistency,CVPR, 2022 [paper]

  • Xiang Wang, Shiwei Zhang*, Zhiwu Qing, Mingqian Tang, Zhengrong Zuo, Changxin Gao, Rong Jin, Nong Sang*, "Hybrid Relation Guided Set Matching for Few-shot Action Recognition,CVPR, 2022 [paper]

  • Xueqi Hu, Qiusheng Huang, Zhengyi Shi, Siyuan Li, Changxin Gao, Li Sun*, Qingli Li, "Style Transformer for Image Inversion and Editing,CVPR, 2022 [paper]

  • Yuhang Wu, Tengteng Huang, Haotian Yao, Chi Zhang, Yuanjie Shao, Chuchu Han, Changxin Gao, Nong Sang, "Multi-Centroid Representation Network for Domain Adaptive Person Re-IDAAAI, 2022

  • Shizhen Zhao, Changxin Gao*, Yuanjie Shao, Wei-Shi Zheng, Nong Sang, "Weakly Supervised Text-Based Person Re-IdentificationICCV, 2021[paper]

  • Xiang Wang, Shiwei Zhang*, Zhiwu Qing, Yuanjie Shao, Zhengrong Zuo, Changxin Gao, Nong Sang*, "OadTR: Online Action Detection With Transformers," ICCV, 2021[paper]

  • Chuchu Han, Kai Su, Dongdong Yu, Zehuan Yuan, Changxin Gao, Nong Sang*, Yi Yang, Changhu Wang, "Weakly Supervised Person Search With Region Siamese NetworksICCV, 2021[paper]

  • Rui Wang, Jian Chen, Gang Yu, Li Sun, Changqian Yu, Changxin Gao*, Nong Sang"Attribute-specific Control Units in StyleGAN for Fine-grained Image Manipulation," ACM MM, 2021 [paper] [project][code]

  • Changqian Yu, Bin Xiao, Changxin Gao, Lu Yuan, Lei Zhang, Nong Sang*, Jingdong Wang*, "Lite-HRNet: A Lightweight High-Resolution Network," CVPR, 2021 [paper][code]

  • Zhiwu Qing, Haisheng Su*, Weihao Gan, Dongliang Wang, Wei Wu, Xiang Wang, Yu Qiao, Junjie Yan, Changxin Gao, Nong Sang,* "Temporal Context Aggregation Network for Temporal Action Proposal Refinement," CVPR, 2021 [paper]

  • Xiang Wang, Shiwei Zhang, Zhiwu Qing, Yuanjie Shao*, Changxin Gao, Nong Sang, "Self-Supervised Learning for Semi-Supervised Temporal Action Proposal," CVPR, 2021 [paper]

  • Chuchu Han, Zhedong Zheng, Changxin Gao*, Nong Sang, Yi Yang, "Decoupled and Memory-Reinforced Networks: Towards Effective Feature Learning for One-Step Person Search," AAAI, 2021 [paper]

  • Shizhen Zhao, Changxin Gao*, Jun Zhang, Hao Cheng, Chuchu Han, Xinyang Jiang, Xiaowei Guo, Wei-Shi Zheng, Nong Sang, Xing Sun, "Do Not Disturb Me: Person Re-identification Under the Interference of Other Pedestrians," ECCV, 2020 [paper][code]

  • Changqian Yu, Yifan liu, Changxin Gao, Chunhua Shen, Nong Sang*, "Representative Graph Neural Network," ECCV, 2020 [paper]

  • Yanrui Bin, Xuan Cao, Chen Xinya, Yanhao Ge, Ying Tai, Chengjie Wang, Jilin Li, Feiyue Huang, Changxin Gao, Nong Sang, "Adversarial Semantic Data Augmentation for Human Pose Estimation," ECCV, 2020 [paper]

  • Changqian Yu, Jingbo Wang, Changxin Gao*, Gang Yu, Chunhua Shen, Nong Sang, "Context Prior for Scene Segmentation," CVPR, 2020 [paper] [code]

  • Yuanjie Shao, Lerenhan Li, Wenqi Ren, Changxin Gao, Nong Sang*, "Domain Adaptation for Image Dehazing," CVPR, 2020 [paper] [code]

  • Zhibo Fan, Zhihao Liang, Jin-Gang Yu*, Jiarong Ou, Changxin Gao, Gui-Song Xia, Yuanqing Li, "FGN: Fully Guided Network for Few-Shot Instance Segmentation," CVPR, 2020 [paper]

  • Shizhen Zhao, Changxin Gao*, Yuanjie Shao, Lerenhan Li, Changqian Yu, Zhong Ji, Nong Sang, "GTNet: Generative Transfer Network for Zero-Shot Object Detection," AAAI, 2020 [paper][code]

  • Chuchu Han#, Jiacheng Ye#, Yunshan Zhong, Xin Tan, Chi Zhang, Changxin Gao*, Nong Sang, "Re-ID Driven Localization Refinement for Person Search," ICCV, 2019 [paper]

  • Ruochen Zheng, Lerenhan Li, Chuchu Han, Changxin Gao*, Nong Sang, "Camera Style and Identity Disentangling Network for Person Re-identification," BMVC, 2019 [paper]

  • Xinya Chen, Yanrui Bin, Nong Sang*, Changxin Gao, "Scale Pyramid Network for Crowd Counting," WACV, 2019 [paper]

  • Changqian Yu#, Jingbo Wang#, Chao Peng, Changxin Gao*, Gang Yu, Nong Sang, "BiSeNet: Bilateral Segmentation Network for Real-time Semantic Segmentation," ECCV, 2018 [paper][code]

  • Changqian Yu, Jingbo Wang, Chao Peng, Changxin Gao*, Gang Yu, Nong Sang, "Learning a Discriminative Feature Network for Semantic Segmentation," CVPR, 2018 [paper][code]

  • Lerenhan Li, Jinshan Pan, Wei-Sheng Lai, Changxin Gao, Nong Sang*, Ming-Hsuan Yang, "Learning a Discriminative Prior for Blind Image Deblurring," CVPR, 2018 [paper] [project]