罗烨

博士、助理教授

办公室:  济事楼314

电邮:      yeluo@tongji.edu.cn

 

主讲课程:                             研究方向: 

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

 高级数字图像处理                  行为识别、视频中的异常行为检测等 

                             

 

部分科研项目

  1. 国家自然科学基金面上项目 5177843     城市防灾设施系统失效级联机理与规划优化方法研究  2018/01-2021/12 参与人
  2. 国家自然科学基金面上项目 61672380    基于深度神经网络的图像中雾霾的度量与去除 2017/01-2020/12  参与人
  3. 国家自然科学基金面上项目 61572362    大数据流中低层与高层惊奇事件检测的研究 2016/01-2019/12   主要参与人
  4. 国家自然科学基金 面上项目 81571347   眼动追踪测量在神经行为障碍与退行性疾病早期诊断中的作用研究  2016/01-2019/12     参与 人

 

部分论文 (* indicates corresponding author)

Journals

  1. Dandan Zhu, Ye Luo*, Lei Dai, Xuan Shao, Qiangqiang Zhou, Laurent Itti, Jianwei Lu*. “Image Salient Object Detection with Refined Deep Features via Convolution Neural Network”.  accepted by Journal of Electronic Imaging (JEI),  2017. (SCI)
  2.  Ye Luo, Junsong Yuan, Jianwei Lu. “Finding Spatio-temporal Salient Paths for Video Objects Discovery”. in Journal of Visual Communication and Image Representation (JVCI) Vol. 38, pp. 45-54, 2016. ( SCI, IF: 1.53
  3.  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: 2.259)

International Conferences

  1. 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)
  2. 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)
  3. 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)
  4. Xiao Liu, Ye Luo, Yu Ye, and Jianwei Lu. MC-DCNN: Dilated Convolutional Neural Network for Computing Stereo Matching Cost. In: International Conference on Neural Information Processing (ICONIP), 2017. (EI, CCF-C)
  5. Yixuan Xu, Ye Luo, Yuan Li, Guokai Zhang, Jianwei Lu. A Hybrid Model: DGnet-SVM for the Classification of Pulmonary Nodules. In: International Conference on Neural Information Processing (ICONIP), 2017. (EI, CCF-C)
  6. 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)
  7.  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)
  8.  Ye Luo, Loong-Fah Cheong and John-John Cabibihan, “Model the Temporality of Saliency”, Asian Conference on Computer Vision (ACCV) 2014, Vol. 9005, pp. 205-220. (EI, CCF-C)
  9.  Ye Luo, Junsong Yuan and Qi Tian, “Salient Object Detection in Videos by Optimal Spatial-temporal Path Discovery”, ACM multimedia 2013, pp. 509-512. (EI, CCF-A)
  10.  Ye Luo, Junsong Yuan, Ping Xue and Qi Tian, “Salient Region Detection and Its Application to Video Retargeting”, in IEEE Conference on Multimedia Expo (ICME’11), pp. 1-6, 2011. (EI, CCF-B)

 

学术活动

  • IEEE Member, CCF Member
  • 学术期刊会议审稿人
    • Signal Processing: Image Communication
    • the Visual Computer
    • IEEE Signal Processing Letter
    • Neurocomputing
    • Computer Vision and Image Understanding
    • IEEE Access
    • ICIP2017, ICME 2015, ICME 2014, ACCV 2010

 

获奖经历

  1. 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
  2.  新加坡南洋理工大学博士研究生全额奖学金
  3. 安徽大学优秀毕业生

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