• 复旦大学

路红

路红 (Hong LU)博士,教授 (PhD, Professor)honglu@fudan.edu.cn机器视觉实验室(Machine Vision Lab)[lab][github]主要成果(Main Achievements)发表著作章节4篇,学术论文70余篇,其中重要国际期刊和顶级会议论文40余篇承担及参加10余项科研项目作为主要完成人,荣获2016教育部技术发明二等奖;2016吴文俊人工智能科技进步二等奖;2016上海市科技进步三等奖等作为主要完成人,参加复旦大学211建设项目“复旦1号智能发育机器人”,该项目于2005年底获首届长三角青年创新展二等奖学术服务(Academic Services)IEEE会员,ACM会员,中国计算机学会高级会员担任多个国际会议CNIS、PCM、MUE、PCN、ICME、CIVR等的Technical Program Committee m...

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Research Fields

  • Image and Video Processing

  • Machine Learning

  • Pattern Recognition

  • Robotic Tasks


Representative Researches

Image Analysis General Tasks


    >>> Low-level Vision: Derain (TIP2023,ICASSP2021, ICME2020*2, ACMMM2019, ICME2019)

               [1] TRNR:Task-Driven Image Rain and Noise Removal with a Few Images Based on Patch Analysis.

               Wu Ran, Bohong Yang, Peirong Ma, Hong Lu.
               IEEE Transactions on Image Processing, 2023

                                                                                       


               [2] Single Image Deraining via Recurrent Hierarchy Enhancement Network.
               Youzhao Yang, Hong Lu.
               ACM International Conference on MultiMedia (ACMMM),   France, Nice, Oct. 2019

                                                                                      

    >>> Low-level Vision: Low-Light Image Enhancement (TCSVT2023)

               [1] Low-Light Image Enhancement with Multi-scale Attention and Frequency-domain Optimization. 

               Zhiquan He, Wu Ran, Shulin Liu, Kehua Li, Jiawen Lu, Changyong Xie, Yong Liu, Hong Lu.
               IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2023.                            

                           undefined


    >>> Zero-shot Learning (ICME2022)

               [1] Semantic-Related Feature Generation for Generalized Zero-Shot Learning.

               Peirong Ma, Wu Ran, Hong Lu.
               IEEE International Conference on Multimedia and Expo (ICME),  Taiwan, Jul. 2022

                                                                                    


    >>> Image Retrieval (TCSVT2023, ICMR2019)

          [1] ACNet: Approaching-and-Centrilizing Network for Zero-Shot Skecth-Base Image Retrieval.

             Hao Ren, Ziqiang Zheng, Yang Wu, Hong Lu, Yang Yang, Ying Shan, Sai-Kit Yeung.
             IEEE Transactions on Circuits and Systems for Video Technology, 2023

                                                                                  


                [2] Weakly Supervised Image Retrieval via Coarse-scale Feature Fusion and Multi-level Attention Blocks.

                Xinyao Nie, Hong Lu, Zijian Wang, Jingyuan Liu, Zehua Guo.
                ACM International Conference on Multimedial Retrieval (ICMR), Canada, Ottawa, June.2019

                                                                                 

    

    >>> Fashion Analysis (ECCVW2018)

          [1] Deep Fashion Analysis with Feature Map Upsampling and Landmark-driven Attention.
             
Jingyuan Liu, Hong Lu.
             Workshop of European Conference on Computer Vision (ECCVW), Germen, Munich, Sep.2018

                                                                            


Visual Action Recognition and Object Tracking

     >>> Weakly-supervised Temporal Action Localization (ICME2023)

            [1] Weakly-supervised Temporal Action Localization with Adaptive Clustering and Refining Network.

               Hao Ren, Wu Ran, Xingsong Liu, Haoran Ren, Hong Lu, Rui Zhang, Cheng Jin.
              IEEE International Conference on Multimedia and Expo (ICME), 2023.

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     >>> Action Recognition (ICASSP2021)

            [1] Multi-directional Convolution Networks with Spatial-Temporal Feature Pyramid Module for Action Recognition
hh         Bohong Yang, Zijian Wang, Wu Ran, Hong Lu, Yi-Ping Phoebe Chen
hh         IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), June 2021

                                               


    >>> Teaching Video Analysis (PRL2020, ICMR2015)

           [1] In-classroom Learning Analytics Based on Student Behavior, Topic and Teaching Characteristic Mining
hh         Bohong Yang, Zeping Yao, Hong Lu, Yaqian Zhou, Jinkai Xu
hh        Pattern Recognition Letter, vol. 129, pp. 224-231, 2020

                                                                                                  


     >>> Object Tracking (PCM2018)

                [1] Learning to Match using Siamese Network for Object Tracking
hh           Chaopeng Li, Hong Lu, Jian Jiao, Wenqiang Zhang
hh          Pacific-Rim Conference on Multimedia (PCM), July 2018

                                               


Simultaneous Localization and Mapping (SLAM) of Robotics

            [1] Multi-Classes and Motion Properties for Concurrent Visual SLAM in Dynamic Environments

               Bohong Yang, Wu Ran, Lin Wang, Hong Lu, Yi-Ping Phoebe Chen
hh         
IEEE Transactions on Multimedia (TMM), 2021

                                                                         



Reinforcement Learning (RL) for Navigation of Robotics

     >>> RL in the Game of Go (TG2020)

                [1] Learning the Game of Go by Scalable Network Without Prior Knowledge of Komi
hh           Bohong Yang, Lin Wang, Hong Lu, Youzhao Yang
hh           IEEE Transactions on Games, 2020
  

                                     


     >>> RL Exploration (ICPCSEE2018)

           [1] A Novel Experience-based Exploration Method for Q-Learning

               Bohong Yang, Hong Lu, Baogen Li, Zheng Zhang, Wenqiang Zhang

                International Conference of Pioneering Computer Scientists, Engineering and Educators (ICPCSEE), China, Zhengzhou, Sep. 2018