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Towards Long-Term Time-Series Forecasting: Feature, Pattern, and Distribution


Jan 05, 2023
Yan Li, Xinjiang Lu, Haoyi Xiong, Jian Tang, Jiantao Su, Bo Jin, Dejing Dou

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Temporal Output Discrepancy for Loss Estimation-based Active Learning


Dec 20, 2022
Siyu Huang, Tianyang Wang, Haoyi Xiong, Bihan Wen, Jun Huan, Dejing Dou

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* Accepted for IEEE Transactions on Neural Networks and Learning Systems, 2022. Journal extension of ICCV 2021 [arXiv:2107.14153] 

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Learning from Training Dynamics: Identifying Mislabeled Data Beyond Manually Designed Features


Dec 20, 2022
Qingrui Jia, Xuhong Li, Lei Yu, Jiang Bian, Penghao Zhao, Shupeng Li, Haoyi Xiong, Dejing Dou

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* AAAI23 accepted Conference Paper 

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ExpNet: A unified network for Expert-Level Classification


Nov 29, 2022
Junde Wu, Huihui Fang, Yehui Yang, Yu Zhang, Haoyi Xiong, Huazhu Fu, Yanwu Xu

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GLARE: A Dataset for Traffic Sign Detection in Sun Glare


Sep 19, 2022
Nicholas Gray, Megan Moraes, Jiang Bian, Allen Tian, Alex Wang, Haoyi Xiong, Zhishan Guo

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AA-Forecast: Anomaly-Aware Forecast for Extreme Events


Aug 21, 2022
Ashkan Farhangi, Jiang Bian, Arthur Huang, Haoyi Xiong, Jun Wang, Zhishan Guo

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* Data Mining and Knowledge Discovery 

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$\textbf{P$^2$A}$: A Dataset and Benchmark for Dense Action Detection from Table Tennis Match Broadcasting Videos


Jul 26, 2022
Jiang Bian, Qingzhong Wang, Haoyi Xiong, Jun Huang, Chen Liu, Xuhong Li, Jun Cheng, Jun Zhao, Feixiang Lu, Dejing Dou

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Distilling Ensemble of Explanations for Weakly-Supervised Pre-Training of Image Segmentation Models


Jul 04, 2022
Xuhong Li, Haoyi Xiong, Yi Liu, Dingfu Zhou, Zeyu Chen, Yaqing Wang, Dejing Dou

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* Accepted by Machine Learning 

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Pareto Optimization for Active Learning under Out-of-Distribution Data Scenarios


Jul 04, 2022
Xueying Zhan, Zeyu Dai, Qingzhong Wang, Qing Li, Haoyi Xiong, Dejing Dou, Antoni B. Chan

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A Survey on Video Action Recognition in Sports: Datasets, Methods and Applications


Jun 02, 2022
Fei Wu, Qingzhong Wang, Jian Bian, Haoyi Xiong, Ning Ding, Feixiang Lu, Jun Cheng, Dejing Dou

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* 26 pages. The toolbox is available at https://github.com/PaddlePaddle/PaddleVideo 

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