罗烨

罗烨   博士、副教授、硕士生导师、数字媒体教研室主任

Office: Jishi Building  Room 314

Email:      yeluo@tongji.edu.cn

Lab URL: http://www.tj-ilab.cn


主讲课程:                                         研究方向:

数字图像处理                                     医学图像处理和分析

高级数字图像处理                              视觉显著性检测及分析

                                    算法设计与分析                                 行为识别、视频中的异常行为检测



代表性科研项目  

  1. 国家自然科学基金面上项目 基于多模态多中心MRI的肝癌微血管浸润深度预测算法及其可解释性研究 2023/01 – 2026/12 主持

  2. 上海市科委项目子课题 基于多模态影像的脑卒中人工智能诊断预测模型算法研究 2019/06-2022/06 主持

  3. bat365中文官方网站学学科交叉重大项目  基于音频、视频、多模态影像的神经退行性疾病早期智能诊断和预测系统的构建及应用 2019/08/01-2021/07/31 主持

  4. 机器人学国家重点实验室联合基金 基于模糊语义理解的自然语言处理算法研究 2019/06/01-2020/05/31 主持

  5. 国家自然科学基金青年项目 基于深度特征学习和扩增的图像显著性检测算法研究 2019/01-2021/12 主持

  6. 上海市自然科学基金面上项目  基于深度学习的视觉注视点转移预测模型研究 2018/06-2021/05 主持

  7. 国家自然科学基金重点项目 基于多模态影像的阿尔茨海默病早期智能评价和预测系统的关键技术研究及应用 2019/01-2023/12 排名第二


代表性科研论文 (* indicates corresponding author)

International Journals

  1. Bao-Ye Sun, Peiyi Gu, Ruo Yu Guan, Cheng Zhou, Jianwei Lu, ZhangFu Yang, Chao Pan, PeiYun Zhou, YaPing Zhu, Jiarui Li, ZhuTao Wang, ShanShan Gao, Wei Gan, Yong Yi, Ye Luo*, Shuangjian Qiu*, Deep-learning based analysis of preoperative MRI predicts microvascular invasion and outcome in hepatocellular carcinoma, 2022, in World Journal of Surgical Oncology.

  2. Hanmei Yang, Jian Lu, Heng Zhang, Ye Luo*, Jianwei Lu*, Field of experts regularized nonlocal low rank matrix approximation for image denoising, in Journal of computational and applied mathematics, 2022. (SCI, IF:2.621,中科院二区)

  3. Yaowei Li, Jinshan Pan, Ye Luo, Jianwei Lu, Deep Ranking Exemplar-Based Dynamic Scene Deblurring, IEEE Transactions on Image Processing, 2022, vol. 31, pp: 2245 – 2256. (SCI, IF:10.856, 中科院一区)

  4. Huilin Lai, Ye Luo*, Guokai Zhang, Xiaoang Shen, Bo Li, Jianwei Lu*, Toward accurate polyp segmentation with cascade boundary-guided attention, The Visual Computer, 2022. (SCI, IF:2.601)

  5. Guokai Zhang, Xiaoang Shen, Yu-Dong Zhang, Ye Luo*, et al., "Cross-Modal Prostate Cancer Segmentation via Self-Attention Distillation", accepted by IEEE Journal of Biomedical and Health Informatics, 2021. (SCI, IF 5.77)

  6. Yaowei Li, Ye Luo*, Jianwei Lu*, “Reference-Guided Deep Deblurring via a Selective Attention Network”, in Applied Intelligence, 2021, (SCI, IF 2.822)

  7. Yaowei Li, Ye Luo*, Guokai Zhang, Jianwei Lu*, “Single image deblurring with cross-layer feature fusion and consecutive attention”, in Journal of Visual Communication and Image Representation (JVCI), Vol. 78, 2021, 103149, ISSN 1047-3203. (SCI, IF: 2.259)

  8. Guokai Zhang, Xiaoang Shen, Sirui Chen, Lipeng Liang, Ye Luo*, Jie Yu*, and Jianwei Lu*, “DSM: A Deep Supervised Multi-scale Network Learning for Skin Cancer Segmentation”, in IEEE Access, 2019, Vol.7(1), pages 140936-140945. (SCI, IF: 4.098)

  9. Guokai Zhang, Weigang Wang, Dinghao Yang, Jihao Luo, Pengcheng He, Yongtong Wang, Ye Luo*, Binghui Zhao*, and Jianwei Lu*, “A Bi-Attention Adversarial Network for Prostate Cancer Segmentation”, in IEEE Access, 2019, Vol.7(1), pages 131448-131458. (SCI, IF: 4.098)

  10. Guokai Zhang, Dandan Zhu, Xiao Liu, Mingle Chen, Laurent Itti, Ye Luo*, Jianwei Lu, “Multi-scale Pulmonary Nodule Classification with Deep Feature Fusion via Residual Network”, in Journal of Ambient Intelligence and Humanized Computing, 2018, pp:1-12. (SCI,IF: 4.594)

  11. Dandan Zhu, Ye Luo*, Lei Dai, Xuan Shao, Qiangqiang Zhou, Laurent Itti, Jianwei Lu*, "Salient Object Detection via a Local and Global Method based on Deep Residual Network," in Journal of Visual Communication and Image Representation (JVCIR), Vol. 54, pp. 1-9, 2018. (SCI, IF: 2.259)

  12. Dandan Zhu, Lei Dai, Xuan Shao, Qiangqiang Zhou, Laurent Itti, Ye Luo*, Jianwei Lu, "Image salient object detection with refined deep features via convolution neural network," J. Electron. Imaging 26(6), 063018 (2017), doi: 10.1117/1.JEI.26.6.063018. (SCI, IF: 0.754)

  13. Ye Luo, Junsong Yuan, Jianwei Lu. “Finding Spatio-temporal Salient Paths for Video Objects Discovery”. in Journal of Visual Communication and Image Representation (JVCIR) Vol. 38, pp. 45-54, 2016. ( SCI, IF: 2.259

  14. Ye Luo, Junsong Yuan, Ping Xue and Qi Tian, “Saliency Density Maximization for Efficient Visual Objects Discovery”, in IEEE Trans. on Circuits and System for Video Technology (TCSVT), Vol. 21, pp. 1822-1834, 2011. (SCI, IF: 4.133)

International Conferences

  1. Bo Li, Yongqiang Yao, Jinru Tan, Gang Zhang, Fengwei Yu, Jianwei Lu, Ye Luo, Equalized Focal Loss for Dense Long-Tailed Object Detection, in CVPR, 2022

  2. Xiaoang Shen, Guokai Zhang, Huilin Lai, Jihao Luo, Jianwei Lu*, Ye Luo*, PoissonSeg: Semi-Supervised Few-Shot Medical Image Segmentation via Poisson Learning, in BIBM 2021: International Conference on Bioinformatics & Biomedicine. (EI, CCF-B)

  3. Jiahao Xie, Sheng Zhang, Jianwei Lu*, Ye Luo*, “L-SNET: FROM REGION LOCALIZATION TO SCALE INVARIANT MEDICAL IMAGE SEGMENTATION”, in ICIP 2021. (EI, CCF-C)

  4. Chao Pan, Peiyun Zhou, Jingru Tan, Baoye Sun, Ruoyu Guan, Zhutao Wang, Ye Luo*, Jianwei Lu*, “LIVER TUMOR DETECTION VIA A MULTI-SCALE INTERMEDIATE MULTI-MODAL FUSION NETWORK ON MRI IMAGES”, in ICIP 2021. (EI, CCF-C)

  5. Guokai Zhang, Xiaoang Shen, Ye Luo*, Jihao Luo, Zeju Wang, Weigang Wang, Binghui Zhao,  Jianwei Lu*, "Cross-Modal Self-Attention Distillation for Prostate Cancer Segmentation", in BIBM 2020: International Conference on Bioinformatics & Biomedicine. (EI, CCF-B)

  6. Yaowei Li, Ye Luo*, Jianwei Lu, "Single Image Deblurring Using Bi-Attention Network", ICPR, 2020, (EI, CCF-C)

  7. Hanmei Yang, Jianwei Lu*, Ye Luo, Jian Lu, "Ultrasound Image Restoration Using Weighted Nuclear Norm Minimization", in ICPR, 2020. (EI, CCF-C)

  8. Guokai Zhang,Ye Luo*, Dandan Zhu, YiXuan Xu, YunXin Sun, Jianwei Lu*; Spatial Pyramid Dilated Network for Pulmonary Nodule Malignancy Classification. In: International Conference on Pattern Recognition (ICPR), 2018. (EI, CCF-C)

  9. Dandan Zhu, Ye Luo*, Lei Dai, Xuan Shao, Laurent Itti, Jianwei Lu. Deep Salient Object Detection via Hierarchical Network Learning. In: International Conference on Neural Information Processing (ICONIP), 2017.EI, CCF-C)

  10. Liechuan, Ou, Zheng Chen, Jianwei Lu, Ye Luo*. Regularizing CNN via Feature Augmentation. In: International Conference on Neural Information Processing (ICONIP), 2017. (EI, CCF-C)

  11. Xuan Shao, Ye Luo*, Dandan Zhu, Shuqin Li, Laurent Itti, Jianwei Lu. Scanpath Prediction Based on High-level Features and Memory Bias. In: International Conference on Neural Information Processing (ICONIP), 2017. EI, CCF-C)

  12. Dandan Zhu, Ye Luo*, Xuan Shao, Laurent Itti, Jianwei Lu, “SALIENCY PREDICTION BASED ON NEW DEEP MULTI-LAYER CONVOLUTION NEURAL NETWOR”, in ICIP, 2017. EI, CCF-C)

  13. Ye Luo, Loong-Fah Cheong and Tran Lam An, “Actionness-assisted Recognition of Actions”, in International Conference on Computer Vision (ICCV) 2015, pp. 3244-3252. (EI, CCF-A)


学术活动和服务

  • IEEE Member, CCF senior Member

  • 学术期刊会议审稿人

    • IEEE TIP、IEEE TCSVT、Signal Processing: Image Communication the Visual Computer、IEEE Signal Processing Letter、Neurocomputing、CVIU、IEEE Access等

    • AAAI2021,ICPR2019,ICPR2018, ICIP2018, ICIP2017, ICME 2015, ICME 2014, ACCV 2010


获奖经历

  1. 2022 《算法设计与分析》课程入选bat365中文官方网站重点课程、“立德树人”示范课程、bat365中文官方网站思政示范课程

  2. 2021年  bat365中文官方网站育才教育奖励金二等奖

  3. 2020年  入选bat365中文官方网站第七期 “名课优师”、bat365在线登录网站 优秀员工

  4. bat365中文官方网站2019年度 “优秀本科生导师“、”优秀班主任”、bat365在线登录网站 优秀员工

  5. 第五届中国“互联网+”董事长创新创业大赛bat365中文官方网站校内赛获得“优秀指导教师”

  6. 2015.11 获得国际计算机视觉顶级会议ICCV的优秀青年研究者奖



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