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MORE’24 Multimedia Object Re-ID: Advancements, Challenges, and Opportunities Conference paper
Zheng, Zhedong, Wang, Yaxiong, Qian, Xuelin, Zhong, Zhun, Wang, Zheng, Zheng, Liang. MORE’24 Multimedia Object Re-ID: Advancements, Challenges, and Opportunities[C]:ASSOC COMPUTING MACHINERY1601 Broadway, 10th Floor, NEW YORK, NY, UNITED STATES, 2024, 1336-1338.
Authors:  Zheng, Zhedong;  Wang, Yaxiong;  Qian, Xuelin;  Zhong, Zhun;  Wang, Zheng; et al.
Favorite | TC[WOS]:0 TC[Scopus]:0 | Submit date：2024/08/05
Deep Metric Learning  Multi-view Generation  Multimedia Retrieval  Object Re-identification  Representation Learning  
AF-Net: An Active Fire Detection Model Using Improved Object-Contextual Representations on Unbalanced UAV Datasets Journal article
Hu, Xikun, Liu, Wenlin, Wen, Hao, Yuen, Ka Veng, Jin, Tian, Junior, Alberto Costa Nogueira, Zhong, Ping. AF-Net: An Active Fire Detection Model Using Improved Object-Contextual Representations on Unbalanced UAV Datasets[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2024, 17, 13558-13569.
Authors:  Hu, Xikun;  Liu, Wenlin;  Wen, Hao;  Yuen, Ka Veng;  Jin, Tian; et al.
Favorite | TC[WOS]:0 TC[Scopus]:1  IF:4.7/5.0 | Submit date：2024/07/04
Active Fire (Af) Detection  Deep Learning  Object-contextual Representation (Ocr)  Self-attention  Semantic Segmentation  Very High-resolution (Vhr) Aerial Data  
SCDet: decoupling discriminative representation for dark object detection via supervised contrastive learning Journal article
Lin, Tongxu, Huang, Guoheng, Yuan, Xiaochen, Zhong, Guo, Huang, Xiaocong, Pun, Chi Man. SCDet: decoupling discriminative representation for dark object detection via supervised contrastive learning[J]. Visual Computer, 2024, 40(5), 3357-3369.
Authors:  Lin, Tongxu;  Huang, Guoheng;  Yuan, Xiaochen;  Zhong, Guo;  Huang, Xiaocong; et al.
Favorite | TC[WOS]:2 TC[Scopus]:1  IF:3.0/3.0 | Submit date：2024/02/23
Low-light Environment  Dark Object Detection  Supervised Contrastive Learning  Representation Decoupling  
Tensorial Multiview Representation for Saliency Detection via Nonconvex Approach Journal article
Xiaoli Sun, Xiujun Zhang, Chen Xu, Mingqing Xiao, Yuanyan Tang. Tensorial Multiview Representation for Saliency Detection via Nonconvex Approach[J]. IEEE Transactions on Cybernetics, 2022, 53(3), 1816 - 1829.
Authors:  Xiaoli Sun;  Xiujun Zhang;  Chen Xu;  Mingqing Xiao;  Yuanyan Tang
Favorite | TC[WOS]:8 TC[Scopus]:8  IF:9.4/10.3 | Submit date：2022/05/17
Log-determinant Function  Salient Object Detection  Sliced Laplacian Regularization  Tensor Group Sparse  Tensorial Feature Representation  
A novel fusion strategy for probabilistic sparse representation classifier guided by support vector machines Conference paper
Zhou,Jianhang, Zeng,Shaoning, Zhang,Bob. A novel fusion strategy for probabilistic sparse representation classifier guided by support vector machines[C], 2019.
Authors:  Zhou,Jianhang;  Zeng,Shaoning;  Zhang,Bob
Favorite | TC[WOS]:0 TC[Scopus]:0 | Submit date：2021/03/11
Classifier Fusion  Collaborative Representation  Object Recognition  Sparse Representation  
Robust Object Tracking via Key Patch Sparse Representation Journal article
He, Zhenyu, Yi, Shuangyan, Cheung, Yiu-Ming, You, Xinge, Tang, Yuan Yan. Robust Object Tracking via Key Patch Sparse Representation[J]. IEEE Transactions on Cybernetics, 2017, 47(2), 354-364.
Authors:  He, Zhenyu;  Yi, Shuangyan;  Cheung, Yiu-Ming;  You, Xinge;  Tang, Yuan Yan
Favorite | TC[WOS]:197 TC[Scopus]:205  IF:9.4/10.3 | Submit date：2018/10/30
Occlusion Prediction Scheme  Particle Filter  Patch Sparse Representation  Template Update  Visual Object Tracking  
A novel joint tracker based on occlusion detection Journal article
Li X., He Z., You X., Philip Chen C.L.. A novel joint tracker based on occlusion detection[J]. Knowledge-Based Systems, 2014, 71, 409-418.
Authors:  Li X.;  He Z.;  You X.;  Philip Chen C.L.
Favorite | TC[WOS]:22 TC[Scopus]:22 | Submit date：2019/02/11
Joint Probability  Occlusion Prediction  Sparse Representation  Template Update  Visual Object Tracking  
Stick textures for image-based rendering Journal article
Wang W., Li K., Wu E.. Stick textures for image-based rendering[J]. Graphical Models, 2006, 68(3), 294-306.
Authors:  Wang W.;  Li K.;  Wu E.
Favorite | TC[WOS]:1 TC[Scopus]:2 | Submit date：2019/02/13
Graphics Data Structures And Data Types  Graphics Processors  Image-based Rendering  Object Representation  
Negotiation paradigms based on knowledge bead's methodology Conference paper
Zhuang Yan, Simon Fong, Shi Meilin. Negotiation paradigms based on knowledge bead's methodology[C]:IEEE COMPUTER SOC, 10662 LOS VAQUEROS CIRCLE, PO BOX 3014, LOS ALAMITOS, CA 90720-1264 USA, 2003, 694-697.
Authors:  Zhuang Yan;  Simon Fong;  Shi Meilin
Favorite | TC[WOS]:0 TC[Scopus]:1 | Submit date：2019/02/13
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