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裴颂伟
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所在单位：计算机学院（国家示范性软件学院）
职务：博/硕导
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学历：研究生毕业
性别：男
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学位：博士学位
职称：副教授
论文成果
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.Yinning Lu, Songwei Pei(通讯)，DFW-PVNet: Data Field Weighting Based Pixel-ise Voting Network for Effective 6D Pose Estimation，2024，Applied Intelligence（CCF英文期刊）
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.Haode Bei, Songwei Pei(通讯)，MIG-DARTS: Towards Effective Differentiable Architecture Search by Gradually Mitigating the Initial-channel Gap between Search and Evaluation，Neural Computing and Applications，2024（CCF英文期刊）
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.Yansong Zhu，Songwei Pei(通讯), et al. AP-Net: Attention-Fused Volume and Progressive Aggregation for Accurate Stereo Matching，2024, Neurocomputing (CCF英文期刊)
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.Tianqi Li, Songwei Pei（通讯）, State evaluation Network for UHVDC converter, JCIE, 2024(SCI)
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.Mingyu Yuan, Songwei Pei（通讯）, RAD-BNN: Regulating activation distribution for accurate binary neural network, Image and Vision Computing, 2024(CCF英文期刊)
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.Hongjing Hong, Songwei Pei（通讯）, et al. Towards High-Accuracy Point Cloud Registration with Channel Self-Attention and Angle Invariance, ICANN, 2024（CCF 英文会议）
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.Yinning Lu, Songwei Pei（通讯）, DFFNet: Dual-Channel Feature Fusion Network for End-To-End 6D Pose Estimation, IJCNN 2024 （CCF英文会议）
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.Wenhua Liao, Songwei Pei（通讯）: NMPose: Leveraging Normal Maps for 6D Pose Estimation. ICONIP (14) 2023 （CCF英文会议）
