朴永日

个人信息Personal Information

副教授

博士生导师

硕士生导师

性别:男

毕业院校:釜庆国立大学

学位:博士

所在单位:信息与通信工程学院

学科:信号与信息处理. 计算机软件与理论. 计算机应用技术. 软件工程

办公地点:大连理工大学创新园大厦B座505室

电子邮箱:yrpiao@dlut.edu.cn

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个人简介Personal Profile

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-卢湖川教授团队(IEEE Fellow)。研究方向为计算机视觉、人工智能、图像处理,计算成像等。发表论文80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/横向等近20。入选2023年度全球前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;担任AAAI 2022 SPC、VALSE 2018 LC、CCF-CV\CSIG-MV\CAAI-IF专委会委员。


2024年拟招收博士后1名,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

[19] 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)

[18] 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)

[17] 2024.01 - 2026.12, 多模***融合方法研究,市科技创新基金-重大基础 (进行)

[16] 2023.01 - 2025.12, 肿瘤***治疗系统研制,市科技创新基金-重大基础 (进行)

[15] 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)

[14] 2022.12 - 2023.12, 在线视频伪装目标研究及MindSpore源生算法库建设,中国人工智能学会学术奖励基金C类 (完成)

[13] 2022.01 - 2023.12, 基于Transformer和mpMRI联合驱动的前列腺癌精准分割分级研究,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,国家自然科学基金-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,省自然科学基金-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,省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,市科技创新基金-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,国家自然科学基金-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,省自然科学基金-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,国家自然科学基金-青年项目 (完成)


科研获奖

[8] 全球前2%顶尖科学家榜单 (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

[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: 11.041. (CCF-A) (中科院一区)

[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. (CAA-A) (中科院一区

[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: 8.182.  (CAA-A) (中科院一区)

[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: 8.182.  (CAA-A) (中科院一区

[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) (中科院二区

[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, D. 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, T. Liu, Adaptive co-teaching for unsupervised monocular depth estimation, ECCV 2022, 89-105. (CCF-B、清华-A)

[23] Jingjing Li, Wei Ji, Miao Zhang, Yongri Piao, Huchuan Lu, Li Cheng, Delving into calibrated depth for acccurate RGB-D salient object detection, International Journal of Computer Vision 2022, 131(4): 855-876, IF: 13.369. (CCF-A) (中科院一区)

[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: 11.041. (CCF-A) (中科院一区)

[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: 11.041. (CCF-A) (中科院一区)

[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) (中科院一区

[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清华-A)

[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、清华-A)

[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清华-A)

[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: 11.041. (CCF-A(中科院一区)

[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: 11.041. (CCF-A(中科院一区)

[04] Miao Zhang, Wei Ji, Yongri Piao, Jingjing Li, Huchuan Lu, Memory-oriented decoder for light field salient object detection, NeurIPS 2019, 32. (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

2023届:理想/东软/太初

2022届:字节/腾讯/小米/滴滴         

2021届:字节/腾讯/华为/美团 

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

  • 教育经历Education Background
  • 工作经历Work Experience
  • 研究方向Research Focus
  • 社会兼职Social Affiliations
  • 计算机视觉

  • 模式识别

  • 计算成像

  • 数字图像处理