信息与通信工程学院（兼未来技术学院），副教授，博士生导师。本科毕业于吉林大学，博士毕业于韩国国立釜庆大学。主要研究方向为计算机视觉、人工智能、图像处理，计算成像等领域。相关领域发表学术论文100余篇，包括CCF-A类顶会CVPR/ICCV/NeurIPS等、中科院一区顶刊IEEE TIP/TCyber/IJCV等，获得华为AI技术认证4项，授权发明专利12项/软著5项。主持国自然重点/面上/青年基金、中央引导科技发展基金、省自然基金、市科技创新重大/面上基金、中国人工智能学会学术奖励基金、华为/美团/KETI等横向项目。曾获计算机视觉顶会ECCV 2020杰出评审专家、AAAI 2022资深程序委员(SPC)、省自然科学学术成果奖 3项 (均排名第一)、省优秀教学成果奖 2项 (排名第三)、全国移动终端应用创新大赛一等奖 (导师)。受邀PRCV2021专题报告、担任IScIDE 2017国际会议专题主席/VALSE 2018执行主席等。目前为CCF计算机视觉专委会/CSIG机器视觉专委会/CAAI智能融合专委会委员；计算机视觉领域顶会/人工智能领域顶会/国际顶刊的审稿人。

• Google Scholar ID：https://scholar.google.no/citations?user=iQ1oyrgAAAAJ&hl=en&oi=ao 

• Semantic Scholar ID：https://www.semanticscholar.org/author/Yongri-Piao/3051892

• ORCID ID: https://orcid.org/my-orcid?orcid=0000-0002-0860-252X
  

• DBLP ID: https://dblp.org/pid/152/4090

科研项目

2024.01 - 2027.12, 有限***辅助诊断研究，国家自然科学基金-面上项目 (进行)

2024.01 - 2027.12, 复杂***检测方法研究，国家自然科学基金-面上项目 (进行)

2023.01 - 2025.12, 肿瘤***治疗系统研制，市科技创新基金-重大项目 (进行)

2022.01 - 2025.12, 面向***目标检测研究，国家自然科学基金-面上项目 (进行)

2022.01 - 2023.12, 基于***分割分级研究，辽肿医工交叉项目 (进行)

2020.01 - 2023.12, 水下***成像方法研究，国家自然科学基金-面上项目 (进行)

2021.07 - 2023.06, 基于光谱偏振散射特性的水下多模智能成像研究，省自然科学基金-面上项目 (完成)

2022.01 - 2023.05, 面向复杂场景的光场目标智能检测研究，中央引导地方科技发展资金项目 (完成)

2019.01 - 2021.12, 基于光场深度学习的显著性目标智能检测研究，市科技创新基金-面上项目 (完成)

2018.01 - 2021.12, 仿人灵巧手的操作规划方法研究，国家自然科学基金-重点项目 (完成)

2021.05 - 2021.07, 稠密多视角图像智能合成系统开发，韩国电子技术研究院 (完成)

2020.08 - 2021.08, 基于安防场景下的复杂目标跟踪技术合作项目, 华为公司 (完成)

2019.11 - 2020.05, 面向于AR/VR的光场智能合成，科技部重点研发项目 (完成)

2019.07 - 2019.12, 真实感头戴式显示系统设计分析，科技部重点研发项目 (完成)

2019.06 - 2019.12, 基于机器学习的车载应用开发，韩国电子技术研究院 (完成)

2017.05 - 2019.04, 面向水下暗环境的光子计数集成成像技术研究，省自然科学基金-面上项目 (完成)

2015.01 - 2017.12, 基于离轴分布感知结构的三维集成成像技术研究，国家自然科学基金-青年项目 (完成)

代表论文

[29] S. Yao, M. Zhang, Yongri Piao, C. Qiu, H. Lu, Depth injection framework for RGBD salient object detection, IEEE Trans on Image Processing, 31 Aug 2023, IF: 11.041. (CCF-A) (中科院一区)

[28] Yongri Piao, Y. Jiang, M. Zhang, J. Wang, and H. Lu, A patch-aware network for light field salient object detection, IEEE Trans on Cybernetics 2023, 53(1) : 379-391, IF: 19.118. (CAA-A) (中科院一区) 

[27] C. Lu, Yongri Piao, M. Zhang, H. Lu, Semi-supervised video salient object detection based on uncertainty-guided pseudo labels, NeurIPS 2022. (CCF-A)

[26] M. Zhang, S. Xu, Yongri Piao, D. Shi, S. Lin, H. Lu, PreyNet: Preying on camouflaged objects, ACM MM 2022. (CCF-A)

[25] W. Ren, L. Wang, Yongri Piao, M. Zhang, H. Lu, T. Liu, Adaptive co-teaching for unsupervised monocular depth estimation, ECCV 2022. (CCF-B、清华-A)

[24] J. Li, W. Ji, M. Zhang, Yongri Piao, H. Lu, L. Cheng, Delving into calibrated depth for acccurate RGB-D salient object detection, International Journal of Computer Vision 2022, IF: 13.369. (CCF-A) (中科院一区)

[23] M. Zhang, S. Xu, Yongri Piao, H. Lu, Exploring spatial correlation for light field saliency detection: expansion from a single view, IEEE Trans on Image Processing 2022, 31: 6152-6163, IF: 11.041. (CCF-A) (中科院一区)

[22] W. Ji, G. Yan, J. Li, Yongri Piao, S. Yao, M. Zhang, L. Cheng, H. Lu, DMRA: Depth-induced multi-scale recurrent attention network for RGB-D saliency detection, IEEE Trans on Image Processing 2022, 31:2321-2336, IF: 11.041. (CCF-A) (中科院一区)

[21] M. Zhang, S. Yao, B. Hu, Yongri Piao, W. Ji, C²DFNet: Criss-cross dinamic filter network for RGB-D salient object detection, IEEE Trans on Multimedia 2022, IF: 8.182.  (CAA-A) (中科院一区)

[20] Yongri Piao, W. Wei, M. Zhang, Y. Jiang, H. Lu, Noise-sensitive adversarial learning for weakly supervised salient object detection, IEEE Trans on Multimedia 2022, IF: 8.182.  (CAA-A) (中科院一区) 

[19] J. Li, W. Ji, Q. Bi, C. Yan, M. Zhang, Yongri Piao, H. Lu, L. Cheng, Joint semantic mining for weakly supervised RGB-D salient object detection, NeurIPS 2021. (CCF-A)

[18] Yongri Piao, J. Wang, M. Zhang, H. Lu, MF-Net: Multi-filter directive network for weakly supervised salient object detection, ICCV 2021. (CCF-A)

[17] M. Zhang, J. Liu, Y. Wang, Yongri Piao, S. Yao, W. Ji, H. Lu, Z. Luo, Dynamic context-sensitive filtering network for ideo salient object detection, ICCV 2021(Oral). (CCF-A)

[16] M. Zhang, T. Liu, Yongri Piao, S. Yao, H. Lu, Auto-MSFNet: Search multi-scale fusion network for salient object detection, ACM MM 2021. (CCF-A)

[15] W. Ji, J. Li, S. Yu, M. Zhang, Yongri Piao, S. Yao, H. Lu, et. al., Calibrated RGB-D salient object detection, CVPR 2021. (CCF-A)

[14] Y. Zhang, Yongri Piao, X. Ji, M. Zhang, Dynamic fusion network for light field depth estimation, PRCV 2021.

[13] M. Zhang, Y. Zhang, Yongri Piao, B. Hu, and H. Lu, Feature reintegration over differential treatment: a top-down and adaptive fusion network for RGB-D SOD, ACM MM 2020. (CCF-A)

[12] M. Zhang, X. Sun, J. Liu, S. Xu, Yongri Piao, H. Lu, Asymmetric two-stream architecture for accurate RGB-D saliency detection, ECCV 2020. (CCF-B、清华-A)

[11] W. Ji, J. Li, M. Zhang, Yongri Piao, H. Lu, Accurate RGB-D salient object detection via collaborative learning, ECCV 2020. (CCF-B、清华-A)

[10] C. Li, R. Cong, Yongri Piao, Q. Xu, and C. C. Loy, RGB-D salient object detection with cross-modality modulation and selection, ECCV 2020. (CCF-B、清华-A)

[09] Yongri Piao, Z. Rong, M. Zhang, W. Ren, H. Lu, A²dele: Adaptive and attentive depth distiller for efficient RGB-D salient object detection, CVPR 2020. (CCF-A)

[08] M. Zhang, W. Ren, Yongri Piao, Z. Rong, H. Lu, Select, supplement and focus for RGB-D saliency detection, CVPR 2020. (CCF-A)

[07] Yongri Piao, Z. Rong, M. Zhang, H. Lu, Exploit and replace: an asymmetrical two-stream architecture for versatile light field saliency detection, AAAI 2020. (CCF-A)

[06] M. Zhang, W. Ji, Yongri Piao, J. Li, H. Lu, LFNet: Light-field fusion network for salient object detection, IEEE Trans on Image Processing, 29(1): 6276-6287 (2020), IF: 11.041. (CCF-A) (中科院一区)

[05] Yongri Piao, X. Li, M. Zhang, J. Yu, H. Lu, Saliency detection via depth-induced cellular automata on light field, IEEE Trans on Image Processing 29(1):1879-1889 (2020), IF: 11.041. (CCF-A) (中科院一区)

[04] M. Zhang, W. Ji, Yongri Piao, J. Li, H. Lu, Memory-oriented decoder for light field salient object detection, NeurIPS 2019. (CCF-A) 

[03] Yongri Piao, W. Ji, J. Li, M. Zhang, H. Lu, Depth-induced multi-scale recurrent attention network for saliency detection, ICCV 2019. (CCF-A)

[02] T. Wang, Yongri Piao, X. Li, L. Zhang, H. Lu, Deep learning for light field saliency detection, ICCV 2019. (CCF-A)

[01] Yongri Piao, Z. Rong, M. Zhang, X. Li, H. Lu, Deep Light-field-driven saliency detection from a single view, IJCAI  2019. (CCF-A)

毕业去向

2023届：理想/东软/太初(无锡)

2022届：字节/腾讯/小米/滴滴         

2021届：字节/腾讯/华为/BIGO/TP-Link 

2020届：美团/高校 

2019届：字节/华为/Fidelity 

2018届：一汽大众/京东/招商

2017届：华为/SAP/大商所 

2016届：北洋电器/索尼