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Yongri Piao
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Associate Professor Supervisor of Doctorate Candidates Supervisor of Master's Candidates
Paper Publications
[41]Zhang Lihe, Yongri Piao.CRF-based future ground segmentation with pixel-level sparse coding and neighborhood interactions[J],Journal of Information and Communication Convergence Engineering,2022,13(3):205-214
[42]Xing L., Yongri Piao, Qu H., Miao Zhang, Shin D..Depth controlled far 3D objects reconstruction in integral imaging system[A],Digital Holography and Three-Dimensional Imaging, DH 2015,2022,410p-
[43]Li, Dongying, Yongri Piao, Miao Zhang, Xiao.Depth extraction using epipolar-plane images in integral imaging system[A],Digital Holography and Three-Dimensional Imaging, DH 2017,2022,Part F47-DH 2017
[44]Yongri Piao, Li, Xiao, Miao Zhang.Depth-induced cellular automata for light field saliency[A],Frontiers in Optics, FIO 2018,2022,Part F114-FIO 2018
[45]Yongri Piao, Ji Wei, Li, Jingjing, Miao Zhang, lu hu chuan.Depth-induced Multi-scale Recurrent Attention Network for Saliency Detection[A],2019 IEEE/CVF INTERNATIONAL CONFERENCE ON COMPUTER VISION (ICCV 2019),2022,7253-7262
[46]Miao Zhang, Wei, Chuanzhen, Yongri Piao, Liu, Jianqiao.Depth-of-field extension in integral imaging using multi-focus elemental images[J],APPLIED OPTICS,2022,56(22):6059-6064
[47]Wang, Tiantian, Yongri Piao, Li, Xiao, Zhang Lihe, lu hu chuan.Deep Learning for Light Field Saliency Detection[A],2019 IEEE/CVF INTERNATIONAL CONFERENCE ON COMPUTER VISION (ICCV 2019),2022,8837-8847
[48]Yongri Piao, Rong, Zhengkun, Miao Zhang, Zhang, Yukun, Ji, Xinxin.Deep learning for single view focal plane reconstruction in integral imaging[A],Proceedings Digital Holography and Three-Dimensional Imaging 2019,2022
[49]Yongri Piao, Rong, Zhengkun, Miao Zhang, Li, Xiao, lu hu chuan.Deep light-field-driven saliency detection from a single view[A],2022,2019-August:904-911
[50]Miao Zhang, Li, Jingjing, Ji Wei, Yongri Piao, lu hu chuan.Memory-oriented Decoder for Light Field Salient Object Detection[A],ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 32 (NIPS 2019),2022,32
total191 5/20
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