Yongri Piao

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Associate Professor   Supervisor of Doctorate Candidates   Supervisor of Master's Candidates  

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信息与通信工程学院(兼未来技术学院),副教授,博士生导师,隶属于《辽宁省智能感知与理解人工智能重点实验室》IEEE Fellow 卢湖川教授课题组。研究方向为计算机视觉、医疗影像组学,细胞微环境解析,智慧洪水预报等。发表论文60余篇,包括CCF-A顶会CVPR/ICCV/NeurIPS、中科院一区顶刊IJCV/TIP/TMM等;通过华为昇思技术认证4项,授权专利12项/软著6项。主持国家级/省部级/市级/横向等20余。入选全球前2%顶尖科学家榜单;获得省自然科学学术成果奖4项/省教学成果奖2项/省优秀研究生导师团队/全国创新大赛一等奖/ECCV2020杰出评委受邀中国模式识别与计算机视觉大会PRCV2021专题报告;曾担任AAAI 2022 SPC、VALSE 2018 LC、CCF-CV\CSIG-MV\CAAI-IF专委会委员。


常年招收博士后(薪资待遇优厚),相关领域有顶会论文经验者优先!!!


科研主页

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

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

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

DBLP: https://dblp.org/pid/152/4090


科研项目


[22] 2024.01 - 2027.12, 有限***辅助诊断研究,国自然-面上项目 (进行)

[21] 2024.01 - 2027.12, 复杂***检测方法研究,国自然-面上项目 (进行)

[20] 2024.09 - 2026.08, 面向***属性挖掘研究,省自然-面上项目 (进行)

[19] 2024.01 - 2026.12, 多模***融合方法研究,市科技创新-重大基础 (进行)

[18] 2023.01 - 2025.12, 肿瘤***治疗系统研制,市科技创新-重大基础 (进行)

[17] 2022.01 - 2025.12, 面向***目标检测研究,国自然-面上项目 (进行)

[16] 2024.12 - 2025.12, 基于***时空分布研究,AI4S交叉项目 (进行)

[15] 2024.12 - 2025.12, 融合***洪水预报研究,AI4S交叉项目 (进行) 

[14] 2022.12 - 2023.12, 在线***M算法库建设,CAAI学术奖励基金 (完成)

[13] 2022.01 - 2023.12, 基于***分割分级研究,辽肿医工交叉项目 (完成)

[12] 2020.01 - 2023.12, 水下多模态光信息的智能融合成像方法研究,国自然-面上项目 (完成)

[11] 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-面上项目 (完成)

[10] 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基金 (完成)

[9] 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-面上项目 (完成)

[8] 2018.01 - 2021.12, 仿人灵巧手的操作规划方法研究,国自然-重点项目 (完成)

[7] 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)

[6] 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)

[5] 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)

[4] 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)

[3] 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)

[2] 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-面上项目 (完成)

[1] 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,国自然-青年项目 (完成)


科研获奖

[8] 全球前2%顶尖科学家榜单 (2024/2023)

[7] 中国图象图形学学会自然科学奖,二等奖 (2023)

[6] 辽宁省自然科学学术成果奖,二等奖 (2023/2018/2017/2014)

[5] 辽宁省教学成果奖 (本科生),二等奖 (2022)

[4] 辽宁省教学成果奖 (研究生),二等奖 (2022)

[3] 辽宁省优秀研究生导师团队 (2022)

[2] ECCV2020 杰出评委 (2020)

[1] 全国移动终端应用创新大赛,一等奖 (2017)


代表论文

[38] Miao Zhang, Beiqi Hu, Shunyu Yao, Yongri Piao, Huchuan Lu, PMNet: Predator-mimicking Network for video camouflaged object detection, IEEE Trans on Multimedia 2024, IF: 8.4 (CCF-B)

[37] Jialong Zhong, Tingwei Liu, Miao Zhang, Yongri Piao, Weibing Sun, Huchuan Lu, BGDiff: Boundary-guided injection framework for prostate segmentation, IEEE International Conference on Bioinformatics and Biomedicine (BIBM) 2024. (CCF-B 

[36] Tingwei Liu, Miao Zhang, Leiye Liu, Jialong Zhong, Shuyao Wang, Yongri Piao, Huchuan Lu, CriDiff: Criss-cross injection diffusion frame work via generative pre-train for prostate segmentation, International Conference on Medical Image Computing and computer-Assisted Intervention (MICCAI) 2024. (CCF-B)

[35] Lanhu Wu, Miao Zhang, Yongri Piao, Zhiwei Li, Huchuan Lu, Edge-guided bidirectional-attention residual network for polyp segmentation, PRCV 2024 (CCF-C)

[34] Tingwei Liu, Runyu Wang, Miao Zhang, Yongri Piao, Huchuan Lu, Auto-USOD: Searching topology for underwater salient object detection, PRCV 2024 (CCF-C)

[33] Liming Zhao, Miao Zhang, Yongri Piao, Jihao Yin, Huchuan Lu, Focal perception transformer for light field salient object detection,  PRCV 2024 (CCF-C)

[32] Shunyu Yao, Miao Zhang, Yongri Piao, Chaoyi Qiu, Huchuan Lu, Depth injection framework for RGBD salient object detection, IEEE Trans on Image Processing 2023, 32: 5340-5352, IF: 10.8 (CCF-A)

[31] Yongri Piao, Yongyao Jiang, Miao Zhang, Jian Wang, Huchuan Lu, PANet: Patch-aware network for light field salient object detection, IEEE Trans on Cybernetics 2023, 53(1) : 379-391, IF: 19.118 (CCF-B

[30] Miao Zhang, Shunyu Yao, Beiqi Hu, Yongri Piao, Wei Ji, C2DFNet: Criss-cross dynamic filter network for RGB-D salient object detection, IEEE Trans on Multimedia 2023, 25: 5142-5154, IF: 8.4 (CCF-B

[29] Yongri Piao, Wei Wu, Miao Zhang, Yongyao Jiang, Huchuan Lu, Noise-sensitive adversarial learning for weakly supervised salient object detection, IEEE Trans on Multimedia 2023, 25: 2888-2897, IF: 8.4 (CCF-B

[28] Lanhu Wu, Zhiwei Li, Leiye Liu, Yongri Piao, Huchuan Lu, A survey of salient object detection based on scene geometric information, Pattern Recognition and Artificial Intelligence 2023, 36(2): 120-142 (CCF-T2

[27] Jian Wang, Tingwei Liu, Miao Zhang, Yongri Piao, To be critical: Self-calibrated weakly supervised learning for salient obiect detection, PRCV 2023 (Oral) (CCF-C)

[26] Yongri Piao, Chenyang Lu, Miao Zhang, Huchuan Lu, Semi-supervised video salient object detection based on uncertainty-guided pseudo labels, NeurIPS 2022, 35: 5614-5627 (CCF-A)

[25] Miao Zhang, Shuang Xu, Yongri Piao, Dongxiang Shi, Shusen Lin, Huchuan Lu, PreyNet: Preying on camouflaged objects, ACM MM 2022, 5323-5332 (CCF-A)

[24] Weisong Ren, Lijun Wang, Yongri Piao, Miao Zhang, Huchuan Lu, Ting Liu, Adaptive co-teaching for unsupervised monocular depth estimation, ECCV 2022, 89-105 (CCF-B)

[23] Jingjing Li, Wei Ji, Miao Zhang, Yongri Piao, Huchuan Lu, Cheng Li, Delving into calibrated depth for acccurate RGB-D salient object detection, International Journal of Computer Vision 2022, 131(4): 855-876, IF: 11.6 (CCF-A

[22] Miao Zhang, Shuang Xu, Yongri Piao, Huchuan Lu, Exploring spatial correlation for light field saliency detection: expansion from a single view, IEEE Trans on Image Processing 2022, 31: 6152-6163IF: 10.8 (CCF-A

[21] Wei Ji, Ge Yan, Jingjing Li, Yongri Piao, Shunyu Yao, Miao Zhang, Li Cheng, Huchuan Lu, DMRA: Depth-induced multi-scale recurrent attention network for RGB-D saliency detection, IEEE Trans on Image Processing 2022, 31:2321-2336IF: 10.8 (CCF-A)

[20] Xinxin Ji, Yongri Piao, Miao Zhang, Lingyao Jia, Peihua Li, Robust depth estimation via light field focal stacks, Chinese J Computers 2022, 45(6): 1226-1240 (CCF-T1

[19] Jingjing Li, Wei Ji, Qi Bi, C. Yan, Miao Zhang, Yongri Piao, Huchuan Lu, Li Cheng, Joint semantic mining for weakly supervised RGB-D salient object detection, NeurIPS 2021, 34: 11945-11959 (CCF-A)

[18] Yongri Piao, Jian Wang, Miao Zhang, Huchuan Lu, MFNet: Multi-filter directive network for weakly supervised salient object detection, ICCV 2021, 4136-4145 (CCF-A)

[17] Miao Zhang, Jie Liu, Yifei Wang, Yongri Piao, Shunyu Yao, Wei Ji, Huchuan Lu, Zongxuan Luo, Dynamic context-sensitive filtering network for video salient object detection, ICCV 2021(Oral), 1553-1563 (CCF-A)

[16] Miao Zhang, Tingwei Liu, Yongri Piao, Shunyu Yao, Huchuan Lu, Auto-MSFNet: Search multi-scale fusion network for salient object detection, ACM MM 2021, 667-676 (CCF-A)

[15] Wei Ji, Jingjing Li, S. Yu, Miao Zhang, Yongri Piao, Shunyu Yao, Huchuan Lu, et. al., Calibrated RGB-D salient object detection, CVPR 2021, 9471-9481 (CCF-A)

[14] Yukun Zhang, Yongri Piao, Xinxin Ji, Miao Zhang, Dynamic fusion network for light field depth estimation, PRCV 2021, 3-15 (CCF-C)

[13] Miao Zhang, Yu Zhang, Yongri Piao, Beiqi Hu, Huchuan Lu, Feature reintegration over differential treatment: a top-down and adaptive fusion network for RGB-D SOD, ACM MM 2020, 4107-4115 (CCF-A)

[12] Miao Zhang, Xiaofei Sun, Jie Liu, Shuang Xu, Yongri Piao, Huchuan Lu, Asymmetric two-stream architecture for accurate RGB-D saliency detection, ECCV 2020, 374-390 (CCF-B)

[11] Wei Ji, Jingjing Li, Miao Zhang, Yongri Piao, Huchuan Lu, Accurate RGB-D salient object detection via collaborative learning, ECCV 2020, 52-69 (CCF-B)

[10] Congyi Li, Runmin Cong, Yongri Piao, Qianqian Xu, Chen Change Loy, RGB-D salient object detection with cross-modality modulation and selection, ECCV 2020, 225-241 (CCF-B)

[09] Yongri Piao, Zhengkun Rong, Miao Zhang, Weisong Ren, Huchuan Lu, A2dele: Adaptive and attentive depth distiller for efficient RGB-D salient object detection, CVPR 2020, 9060-9069 (CCF-A)

[08] Miao Zhang, Weisong Ren, Yongri Piao, Zhengkun Rong, Huchuan Lu, Select, supplement and focus for RGB-D saliency detection, CVPR 2020, 3472-3481 (CCF-A)

[07] Yongri Piao, Zhengkun Rong, Miao Zhang, Huchuan Lu, Exploit and replace: an asymmetrical two-stream architecture for versatile light field saliency detection, AAAI 2020, 34(7): 11865-11873 (CCF-A)

[06] Miao Zhang, Wei Ji, Yongri Piao, Jingjing Li, Huchuan Lu, LFNet: Light-field fusion network for salient object detection, IEEE Trans on Image Processing, 29(1): 6276-6287 (2020), IF: 10.8 (CCF-A

[05] Yongri Piao, Xiao Li, Miao Zhang, Jingyi Yu, Huchuan Lu, Saliency detection via depth-induced cellular automata on light field, IEEE Trans on Image Processing 29(1): 1879-1889 (2020), IF: 10.8 (CCF-A

[04] Miao Zhang, Wei Ji, Yongri Piao, Jingjing Li, Huchuan Lu, Memory-oriented decoder for light field salient object detection, NeurIPS 2019 (CCF-A

[03] Yongri Piao, Wei Ji, Jingjing Li, Miao Zhang, Huchuan Lu, Depth-induced multi-scale recurrent attention network for saliency detection, ICCV 2019, 7254-7263 (CCF-A)

[02] Tiantian Wang, Yongri Piao, Xiao Li, Lihe Zhang, Huchuan Lu, Deep learning for light field saliency detection, ICCV 2019, 8838-8848 (CCF-A)

[01] Yongri Piao, Zhengkun Rong, Miao Zhang, Xiao Li, Huchuan Lu, Deep light-field-driven saliency detection from a single view, IJCAI  2019, 904-911 (CCF-A)


毕业去向

腾讯,字节,华为,小米,京东,美团,大众汽车,理想汽车,招商银行,大商所,迈瑞医疗等

Educational ExperienceMore>>

2005.9 2008.8

  • Pukyong National University
  • Communication and Information Systems
  • Doctoral Degree

2003.9 2005.8

  • Pukyong National University
  • Communication and Information Systems
  • Master's Degree

1999.8 2003.7

  • Jilin University
  • Control Theory and Control Engineering
  • Bachelor's Degree

Work Experience

2012.3 Now
  • Dalian University of Technology
  • Information and Communications Engineering
  • 副教授
2008.9 2011.12
  • 3D Display National Research Center
  • 研究教授

Social Affiliations

  • IEEE/OSA/SPIE 会员
    CCF计算机视觉专委会 委员
    CSIG机器视觉专委会 委员
    IScIDE 2017 专题主席
    VALSE 2017 执行主席

Research FocusMore>>

  • 计算机视觉

  • 模式识别

  • 计算成像