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IEEE Transactions on Pattern Analysis and Machine Intelligence|July 28, 2023
Sparse Bayesian Learning for End-to-End EEG DecodingWenlong Wang, Feifei Qi, David Paul Wipf, et al.IEEE Transactions on Pattern Analysis and Machine Intelligence|July 28, 2023
Modeling Noisy Annotations for Point-Wise SupervisionJia Wan, Qiangqiang Wu, Antoni B ChanIEEE Transactions on Pattern Analysis and Machine Intelligence|July 24, 2023
HDGT: Heterogeneous Driving Graph Transformer for Multi-Agent Trajectory Prediction via Scene EncodingXiaosong Jia, Penghao Wu, Li Chen, et al.IEEE Transactions on Pattern Analysis and Machine Intelligence|July 24, 2023
Object Affinity Learning: Towards Annotation-Free Instance SegmentationYuqi Wang, Yuntao Chen, Zhaoxiang ZhangIEEE Transactions on Pattern Analysis and Machine Intelligence|July 25, 2023
Knowledge-Induced Multiple Kernel Fuzzy ClusteringYiming Tang, Zhifu Pan, Xianghui Hu, et al.IEEE Transactions on Pattern Analysis and Machine Intelligence|July 25, 2023
Unifying Flow, Stereo and Depth EstimationHaofei Xu, Jing Zhang, Jianfei Cai, et al.IEEE Transactions on Pattern Analysis and Machine Intelligence|July 11, 2023
3D Point-Voxel Correlation Fields for Scene Flow EstimationZiyi Wang, Yi Wei, Yongming Rao, et al.IEEE Transactions on Pattern Analysis and Machine Intelligence|July 10, 2023
DifFormer: Multi-Resolutional Differencing Transformer With Dynamic Ranging for Time Series AnalysisBing Li, Wei Cui, Le Zhang, et al.IEEE Transactions on Pattern Analysis and Machine Intelligence|July 11, 2023
DROID: Driver-Centric Risk Object IdentificationChengxi Li, Stanley H Chan, Yi-Ting ChenIEEE Transactions on Pattern Analysis and Machine Intelligence|July 11, 2023
Learning Symbolic Model-Agnostic Loss Functions via Meta-LearningChristian Raymond, Qi Chen, Bing Xue, et al.Pageof 869