朴永日
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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：软件工程. 计算机应用技术. 人工智能. 信号与信息处理
办公地点：大连理工大学创新园大厦B座505室
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- [1]刘垒烨.张淼,Ji, Wei,朴永日,卢湖川.尹纪浩,刘廷位.DefMamba: Deformable Visual State Space Model[A],Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition,2025:8838-8847
- [2]赵立明.张淼,朴永日,卢湖川.尹纪浩.Focal Perception Transformer for Light Field Salient Object Detection[A],Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics),2024
- [3]吴岚虎.张淼,朴永日,卢湖川.李智玮.Edge-Guided Bidirectional-Attention Residual Network for Polyp Segmentation[A],Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics),2024
- [4]刘廷位.张淼,朴永日,卢湖川.王润宇.Auto-USOD: Searching Topology for Underwater Salient Object Detection[A],Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics),2024
- [5]刘廷位.张淼,朴永日,卢湖川.刘垒烨,钟嘉龙,王书垚.CriDiff: Criss-Cross Injection Diffusion Framework via Generative Pre-train for Prostate Segmentation[A],Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics),2024,15008 LNCS:102-112
- [6]刘廷位.张淼,朴永日,卢湖川.刘垒烨,钟嘉龙,王书垚.CriDiff: Criss-cross Injection Diffusion Framework via Generative Pre-train for Prostate Segmentation[J],arXiv,2024
- [7]吴岚虎.朴永日,卢湖川.李智玮,刘垒烨.基于场景几何信息的显著性目标检测方法综述[J],Pattern Recognition and Artificial Intelligence,36(2):120-142
- [8]Li, Jingjing.Ji, Wei,Zhang, Miao,朴永日,Lu, Huchuan,Cheng, Li.Delving into Calibrated Depth for Accurate RGB-D Salient Object Detection[J],International Journal of Computer Vision,131(4):855-876
- [9]张淼.Yao, Shunyu,朴永日,Ji, Wei.胡蓓启.C2DFNet: Criss-Cross Dynamic Filter Network for RGB-D Salient Object Detection[J],IEEE TRANSACTIONS ON MULTIMEDIA,2024,25:5142-5154
- [10]朴永日.Wu, Wei,Zhang, Miao,卢湖川.姜永耀.Noise-Sensitive Adversarial Learning for Weakly Supervised Salient Object Detection[J],IEEE TRANSACTIONS ON MULTIMEDIA,2024,25:2888-2897