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Latent Heterogeneous Graph Network for Incomplete Multi-View Learning


Aug 29, 2022
Pengfei Zhu, Xinjie Yao, Yu Wang, Meng Cao, Binyuan Hui, Shuai Zhao, Qinghua Hu

* IEEE Transactions on Multimedia, early access, February 2022 
* 13 pages, 9 figures, IEEE Transactions on Multimedia 

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Class-Specific Semantic Reconstruction for Open Set Recognition


Jul 05, 2022
Hongzhi Huang, Yu Wang, Qinghua Hu, Ming-Ming Cheng

* 14 pages, 10 figures, 

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Multi-Granularity Regularized Re-Balancing for Class Incremental Learning


Jun 30, 2022
Huitong Chen, Yu Wang, Qinghua Hu


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Single Object Tracking Research: A Survey


Apr 25, 2022
Ruize Han, Wei Feng, Qing Guo, Qinghua Hu

* 32 pages, in Chinese survey paper, Chinese Journal of Computers 2022 

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Learning Self-Supervised Low-Rank Network for Single-Stage Weakly and Semi-Supervised Semantic Segmentation


Mar 19, 2022
Junwen Pan, Pengfei Zhu, Kaihua Zhang, Bing Cao, Yu Wang, Dingwen Zhang, Junwei Han, Qinghua Hu

* Accepted to IJCV 2022 

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Uncertainty-Aware Multi-View Representation Learning


Jan 15, 2022
Yu Geng, Zongbo Han, Changqing Zhang, Qinghua Hu

* AAAI 2021 published paper 

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Interactive Model with Structural Loss for Language-based Abductive Reasoning


Dec 01, 2021
Linhao Li, Ming Xu, Yongfeng Dong, Xin Li, Ao Wang, Qinghua Hu


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Learning Dynamic Compact Memory Embedding for Deformable Visual Object Tracking


Nov 23, 2021
Pengfei Zhu, Hongtao Yu, Kaihua Zhang, Yu Wang, Shuai Zhao, Lei Wang, Tianzhu Zhang, Qinghua Hu


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Trustworthy Multimodal Regression with Mixture of Normal-inverse Gamma Distributions


Nov 11, 2021
Huan Ma, Zongbo Han, Changqing Zhang, Huazhu Fu, Joey Tianyi Zhou, Qinghua Hu

* Accepted to NeurIPS 2021 

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Temporal-attentive Covariance Pooling Networks for Video Recognition


Nov 06, 2021
Zilin Gao, Qilong Wang, Bingbing Zhang, Qinghua Hu, Peihua Li

* Accepted to NeurIPS 2021; Project page: https://github.com/ZilinGao/Temporal-attentive-Covariance-Pooling-Networks-for-Video-Recognition 

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