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2020 – today
- 2024
[j31]Jie Guo, Yongxin Ge:
Temporal Contrastive and Spatial Enhancement Coarse Grained Network for Weakly Supervised Group Activity Recognition. Eng. Appl. Artif. Intell. 133: 108115 (2024)- [j30]Long Deng
, Ao Li, Bingxin Zhou, Yongxin Ge:
Two-Stream Temporal Feature Aggregation Based on Clustering for Few-Shot Action Recognition. IEEE Signal Process. Lett. 31: 2435-2439 (2024) - [j29]Jiake Leng, Yiyan Zhang, Xiang Liu, Yiming Cui, Junhan Zhao, Yongxin Ge:
Error-Robust and Label-Efficient Deep Learning for Understanding Tumor Microenvironment From Spatial Transcriptomics. IEEE Trans. Circuits Syst. Video Technol. 34(8): 6785-6796 (2024) - [j28]Yanwen Wu, Mingjian Hong, Ao Li, Sheng Huang, Huijun Liu, Yongxin Ge:
Self-Supervised Adversarial Learning for Domain Adaptation of Pavement Distress Classification. IEEE Trans. Intell. Transp. Syst. 25(2): 1966-1977 (2024) - [c31]Ao Li, Huijun Liu, Jinrong Sheng, Zhongming Chen, Yongxin Ge:
Efficient Dual-Confounding Eliminating for Weakly-supervised Temporal Action Localization. ACM Multimedia 2024: 8179-8188 - [i5]Long Deng, Ziqiang Li, Bingxin Zhou, Zhongming Chen, Ao Li, Yongxin Ge:
Two-stream joint matching method based on contrastive learning for few-shot action recognition. CoRR abs/2401.04150 (2024) - 2023
- [j27]Guo Huang, Huijun Liu, Shu Gong, Yongxin Ge:
Survival Prediction After Transarterial Chemoembolization for Hepatocellular Carcinoma: a Deep Multitask Survival Analysis Approach. J. Heal. Informatics Res. 7(3): 332-358 (2023) - [j26]Boyu Hua, Junyin Zhang, Ziqiang Li, Yongxin Ge:
Cross-Modality Channel Mixup and Modality Decorrelation for RGB-Infrared Person Re-Identification. IEEE Trans. Biom. Behav. Identity Sci. 5(4): 512-523 (2023) - [j25]Huijun Liu, Chunhua Yang, Ao Li, Sheng Huang, Xin Feng, Zhimin Ruan, Yongxin Ge:
Deep Domain Adaptation for Pavement Crack Detection. IEEE Trans. Intell. Transp. Syst. 24(2): 1669-1681 (2023) - [i4]Caiyuan Chu, Ya Li, Yifan Liu, Jia-Chen Gu, Quan Liu, Yongxin Ge, Guoping Hu:
Multi-Stage Coarse-to-Fine Contrastive Learning for Conversation Intent Induction. CoRR abs/2303.05034 (2023) - 2022
- [j24]Caiyuan Chu, Yongxin Ge, Quan Qian, Boyu Hua, Jie Guo:
A novel multi-scale convolution model based on multi-dilation rates and multi-attention mechanism for mechanical fault diagnosis. Digit. Signal Process. 122: 103355 (2022) - [j23]Shiyun Liao, Huijun Liu, Jianxi Yang, Yongxin Ge:
A channel-spatial-temporal attention-based network for vibration-based damage detection. Inf. Sci. 606: 213-229 (2022) - [j22]Jiahong Xie, Yongxin Ge, Junyin Zhang, Sheng Huang, Feiyu Chen, Hongxing Wang:
Low-resolution assisted three-stream network for person re-identification. Vis. Comput. 38(7): 2515-2525 (2022) - [c30]Bo Li, Pan Pan, Xin Feng, Yongxin Ge:
Human Action Recognition Algorithm of Non-local Two-Stream Convolution Network Based on Image Depth Flow. CCBR 2022: 315-323 - [c29]Ziqiang Li, Yongxin Ge, Jiaruo Yu, Zhongming Chen:
Forcing the Whole Video as Background: An Adversarial Learning Strategy for Weakly Temporal Action Localization. ACM Multimedia 2022: 5371-5379 - [i3]Ziqiang Li, Yongxin Ge, Jiaruo Yu, Zhongming Chen:
Forcing the Whole Video as Background: An Adversarial Learning Strategy for Weakly Temporal Action Localization. CoRR abs/2207.06659 (2022) - 2021
- [j21]Jiaruo Yu, Yongxin Ge, Xiaolei Qin, Ziqiang Li, Sheng Huang, Feiyu Chen:
Deep feature enhancing and selecting network for weakly supervised temporal action localization. J. Vis. Commun. Image Represent. 80: 103276 (2021) - [j20]Yongxin Ge, Xiaolei Qin, Dan Yang, Martin Jägersand:
Deep snippet selective network for weakly supervised temporal action localization. Pattern Recognit. 110: 107686 (2021) - [j19]Wei Wang, Feiyu Chen, Yongxin Ge, Sheng Huang, Xiaohong Zhang, Dan Yang:
Discriminative deep semi-nonnegative matrix factorization network with similarity maximization for unsupervised feature learning. Pattern Recognit. Lett. 149: 157-163 (2021) - [j18]Yongxin Ge, Junyin Zhang, Xinyu Ren, Chenqiu Zhao, Juan Yang, Anup Basu:
Deep Variation Transformation Network for Foreground Detection. IEEE Trans. Circuits Syst. Video Technol. 31(9): 3544-3558 (2021) - [c28]Xuqi Yang, Jia Zhang, Rong Qin, Yunyu Su, Shuting Qiu, Jintian Yu, Yongxin Ge:
Skeleton-Based Action Recognition with Improved Graph Convolution Network. CCBR 2021: 31-38 - [c27]Jiaruo Yu, Yongxin Ge, Ziqiang Li, Zhongming Chen, Xiaolei Qin:
Context Driven Network with Bayes for Weakly Supervised Temporal Action Localization. ICME 2021: 1-6 - [c26]Junyin Zhang, Yongxin Ge, Xinqian Gu, Boyu Hua, Tao Xiang:
Self-Supervised Pre-training on the Target Domain for Cross-Domain Person Re-identification. ACM Multimedia 2021: 4268-4276 - [i2]Huijun Liu, Chunhua Yang, Ao Li, Yongxin Ge, Sheng Huang, Xin Feng, Zhimin Ruan:
Deep Domain Adaptation for Pavement Crack Detection. CoRR abs/2111.10101 (2021) - 2020
- [j17]Meng Li, Yi Zhan, Yongxin Ge:
Fractional Distance Regularized Level Set Evolution With Its Application to Image Segmentation. IEEE Access 8: 84604-84617 (2020) - [j16]Xiaolei Qin, Yongxin Ge, Jinyuan Feng, Dan Yang, Feiyu Chen, Sheng Huang, Ling Xu:
DTMMN: Deep transfer multi-metric network for RGB-D action recognition. Neurocomputing 406: 127-134 (2020) - [j15]Yongxin Ge, Junyin Zhang, Chen Peng, Min Chen, Jiahong Xie, Dan Yang:
Deep shape constrained network for robust face alignment. Pattern Recognit. Lett. 138: 587-593 (2020) - [j14]Xiaolei Qin, Yongxin Ge, Hui Yu, Feiyu Chen, Dan Yang:
Spatial Enhancement and Temporal Constraint for Weakly Supervised Action Localization. IEEE Signal Process. Lett. 27: 1520-1524 (2020) - [c25]Yunsheng Pang, Feiyu Chen, Sheng Huang, Yongxin Ge, Wei Wang, Taiping Zhang:
Deep Fuzzy Clustering with Weighted Intra-class Variance and Extended Mutual Information Regularization. ICDM (Workshops) 2020: 464-471 - [c24]Ziqiang Li, Yongxin Ge, Jinyuan Feng, Xiaolei Qin, Jiaruo Yu, Hui Yu:
Deep Selective Feature Learning for Action Recognition. ICME 2020: 1-6 - [c23]Yun Xing, Sheng Huang, Luwen Huangfu, Feiyu Chen, Yongxin Ge:
Robust Bidirectional Generative Network For Generalized Zero-Shot Learning. ICME 2020: 1-6
2010 – 2019
- 2019
- [j13]Wei Wang, Dan Yang, Feiyu Chen, Yunsheng Pang, Sheng Huang, Yongxin Ge:
Clustering With Orthogonal AutoEncoder. IEEE Access 7: 62421-62432 (2019) - [j12]Chenqiu Zhao, Aneeshan Sain, Ying Qu, Yongxin Ge, Haibo Hu:
Background Subtraction Based on Integration of Alternative Cues in Freely Moving Camera. IEEE Trans. Circuits Syst. Video Technol. 29(7): 1933-1945 (2019) - [c22]Sheng Huang, Yongxin Ge, Feiyu Chen, Kewen He, Xiaohong Zhang:
Collaborative Representation Guided Graph Learning for Visual Classification. ICME Workshops 2019: 573-578 - [c21]Xiaolei Qin, Yongxin Ge, Jinyuan Feng, Yida Chen, Liuwei Zhan, Xuchu Wang, Yuangan Wang:
Two-Stream Network with 3D Common-Specific Framework for RGB-D Action Recognition. SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI 2019: 731-738 - [c20]Jinyuan Feng, Dan Yang, Yongxin Ge, Xiaolei Qin, Yida Chen, Yuangan Wang:
MSAHTA: Mixed Spatial Attention and Hierarchical Temporal Aggregation for Action Recognition. SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI 2019: 775-782 - 2018
- [j11]Min Chen, Yongxin Ge, Xin Feng, Chuanyun Xu, Dan Yang:
Person Re-Identification by Pose Invariant Deep Metric Learning With Improved Triplet Loss. IEEE Access 6: 68089-68095 (2018) - [j10]Sheng Huang, Hongxing Wang, Yongxin Ge, Luwen Huangfu, Xiaohong Zhang, Dan Yang:
Improved hypergraph regularized Nonnegative Matrix Factorization with sparse representation. Pattern Recognit. Lett. 102: 8-14 (2018) - [c19]Yongxin Ge, Xinqian Gu, Min Chen, Hongxing Wang, Dan Yang:
Deep Multi-Metric Learning for Person Re-Identification. ICME 2018: 1-6 - [c18]Yongxin Ge, Min Chen, Chao Liu, Feiyi Chen, Sheng Huang, Hongxing Wang:
Deep Metric Learning for Software Change-Proneness Prediction. IScIDE 2018: 287-300 - [c17]Xiaolei Qin, Yongxin Ge, Liuwei Zhan, Guangrui Li, Sheng Huang, Hongxing Wang, Feiyu Chen:
Joint Deep Learning for RGB-D Action Recognition. VCIP 2018: 1-6 - 2017
- [c16]Cheng Peng, Yongxin Ge, Mingjian Hong, Sheng Huang, Dan Yang:
Robust face alignment with cascaded coarse-to-fine auto-encoder network. ICIP 2017: 1477-1481 - [c15]Zhan Yi, Yongxin Ge:
A Variable Exponent P-Laplace Variational Model Preserving Texture for Image Interpolation. WACV Workshops 2017: 36-41 - 2016
- [j9]Sheng Huang, Dan Yang, Yongxin Ge, Xiaohong Zhang:
Discriminant Hyper-Laplacian Projections and its scalable extension for dimensionality reduction. Neurocomputing 173: 145-153 (2016) - [j8]Yongxin Ge, Cheng Peng, Mingjian Hong, Sheng Huang, Dan Yang:
Joint Local Regressors Learning for Face Alignment. Neurocomputing 208: 262-268 (2016) - [c14]Yongxin Ge, Xinyu Ren, Cheng Peng, Xuchu Wang:
Extended Robust Cascaded Pose Regression for Face Alignment. CCBR 2016: 50-58 - [c13]Xinqian Gu, Yongxin Ge:
Weighted Local Metric Learning for Person Re-identification. CCBR 2016: 686-694 - 2015
- [j7]Sheng Huang, Dan Yang, Yongxin Ge, Xiaohong Zhang:
Combined supervised information with PCA via discriminative component selection. Inf. Process. Lett. 115(11): 812-816 (2015) - [j6]Venice Erin Liong, Jiwen Lu, Yongxin Ge:
Regularized local metric learning for person re-identification. Pattern Recognit. Lett. 68: 288-296 (2015) - [c12]Venice Erin Liong, Yongxin Ge, Jiwen Lu:
Discriminative regularized metric learning for person re-identification. ICB 2015: 52-57 - [c11]Yongxin Ge, Chen Min, Martin Jägersand, Dan Yang:
Active appearance model search using partial least squares regression. VCIP 2015: 1-4 - [c10]Haibin Yan, Xiuzhuang Zhou, Yongxin Ge:
Neighborhood repulsed correlation metric learning for kinship verification. VCIP 2015: 1-4 - 2014
- [c9]Venice Erin Liong, Jiwen Lu, Yongxin Ge:
Regularized Bayesian Metric Learning for Person Re-identification. ECCV Workshops (3) 2014: 209-224 - [c8]Yongxin Ge, Sheng Huang, Xin Feng, Jiehui Zhang, Wenbin Bu, Dan Yang:
Two dimensional non-negative sparse Partial Least Squares for face recognition. ICME Workshops 2014: 1-6 - [c7]Sheng Huang, Dan Yang, Yongxin Ge, Dengyang Zhao, Xin Feng:
Discriminant Hyper-Laplacian projections with its application to face recognition. ICME Workshops 2014: 1-6 - 2013
- [j5]Peng Ma, Dan Yang, Yongxin Ge, Xiaohong Zhang, Ying Qu, Sheng Huang, Jiwen Lu:
Robust face recognition via gradient-based sparse representation. J. Electronic Imaging 22(1): 013018 (2013) - [j4]Yongxin Ge, Dan Yang, Jiwen Lu, Bo Li, Xiaohong Zhang:
Active appearance models using statistical characteristics of Gabor based texture representation. J. Vis. Commun. Image Represent. 24(5): 627-634 (2013) - [c6]Xin Feng, Bo Li, Yongxin Ge, Jiaxing Tan:
A quantitative metric of visual-words separability for a more discriminative visual vocabulary in an unsupervised manner. ICICS 2013: 1-5 - [c5]Yongxin Ge, Wenbin Bu, Dan Yang, Xin Feng, Xiaohong Zhang:
Two dimension nonnegative partial least squares for face recognition. ICICS 2013: 1-5 - [c4]Yongxin Ge, Jiwen Lu, Wu Fan, Dan Yang:
Age estimation from human body images. ICASSP 2013: 2337-2341 - [c3]Junlin Hu, Yongxin Ge, Jiwen Lu, Xin Feng:
Makeup-robust face verification. ICASSP 2013: 2342-2346 - [c2]Tzu-Yi Hung, Jiwen Lu, Junlin Hu, Yap-Peng Tan, Yongxin Ge:
Activity-based human identification. ICASSP 2013: 2362-2366 - [c1]Yongxin Ge, Jiwen Lu, Xin Feng, Dan Yang:
Body-based human age estimation at a distance. ICME Workshops 2013: 1-4 - [i1]Sheng Huang, Dan Yang, Fei Yang, Yongxin Ge, Xiaohong Zhang, Jiwen Lu:
Face Recognition via Globality-Locality Preserving Projections. CoRR abs/1311.1279 (2013) - 2012
- [j3]Yongxin Ge, Dan Yang, Xiaohong Zhang, Jiwen Lu:
Improved similarity measure-based graph embedding for face recognition. J. Electronic Imaging 21(1): 013002 (2012) - [j2]Peng Ma, Dan Yang, Yongxin Ge, Xiaohong Zhang, Ying Qu:
Face recognition using two-dimensional nonnegative principal component analysis. J. Electronic Imaging 21(3): 033011 (2012) - 2010
- [j1]Yongxin Ge, Dan Yang, Xiaohong Zhang, Jiwen Lu:
Image registration based on subpixel localization and Cauchy-Schwarz divergence. J. Electronic Imaging 19(3): 033001 (2010)
Coauthor Index
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