Weixin Luo
Ph.D
ShanghaiTech University
luowx@@shanghaitech.edu.cn
Google scholar / cv

About me / bio

I am now working at Meituan. I received my Ph.D. degree at ShanghaiTech University in 2020, supervised by Shenghua Gao. I worked with Yong Jae Lee at University of California, Davis. I received a BEng. Degree from Shenzhen University in 2015, working with Meng Yang.
Some research intern positions are available. Drop me an email if interested.

News

    [2021-09] Two papers were accepted to TPAMI.
    [2021-09] One paper was accepted to TNNLS.
    [2021-09] One paper was accepted to TMI.
    [2021-03] Three papers were accepted to CVPR 2021.
    [2020-11] One paper was accepted to AAAI 2021.
    [2020-11] I am invited as a member of Senior Program Committe (SPC) for IJCAI 2021.
    [2020-09] One paper was accepted to NeurIPS 2020.

Selected Publications

Future Frame Prediction Network for Video Anomaly Detection
Weixin Luo*, Wen Liu*, Dongze Lian, Shenghua Gao
TPAMI 2021 / bibtex
  @article{luo2021tpami,
    Author    = {Weixin Luo, Wen Liu, Dongze Lian, Shenghua Gao},
    Title     = {Future Frame Prediction Network for Video Anomaly Detection},
    Journal   = {IEEE Transactions on Pattern Analysis and Machine Intelligence},
    Year      = {2021}}
      
SIRI: Spatial Relation Induced Network For Spatial Description Resolution
Peiyao Wang*, Weixin Luo*, Yanyu Xu, Haojie Li, Shugong Xu, Jianyu Yang, Shenghua Gao
NeurIPS 2020 / bibtex
  @article{luo2020nips,
    Author    = {Peiyao Wang, Weixin Luo, Yanyu Xu, Haojie Li, Shugong Xu, Jianyu Yang, Shenghua Gao},
    Title     = {SIRI: Spatial Relation Induced Network For Spatial Description Resolution},
    Journal   = {NeurIPS},
    Year      = {2020}}
      
Password-conditioned Anonymization and Deanonymization with Face Identity Transformers
Xiuye Gu, Weixin Luo, Michael S. Ryoo, Yong Jae Lee
ECCV 2020 / bibtex
  @article{luo2020eccv,
    Author    = {Xiuye Gu, Weixin Luo, Michael S. Ryoo, and Yong Jae Lee},
    Title     = {Password-conditioned Anonymization and Deanonymization with Face Identity Transformers},
    Journal   = {ECCV},
    Year      = {2020}}
      
Video Anomaly Detection with Sparse Coding Inspired Deep Neural Networks
Weixin Luo*, Wen Liu*, Dongze Lian, Jinhui Tang, Lixin Duan, Xi Peng, Shenghua Gao
TPAMI 2019 / bibtex
  @article{luo2019pami,
    Author    = {Weixin Luo, Wen Liu, Dongze Lian, Jinhui Tang, Lixin Duan, Xi Peng, and Shenghua Gao},
    Title     = {Video Anomaly Detection with Sparse Coding Inspired Deep Neural Networks},
    Journal   = {IEEE Transactions on Pattern Analysis and Machine Intelligence},
    Year      = {2019}}
      
Large Margin Video Anomaly Detection with A Few Anomalies
Wen Liu*, Weixin Luo*, Shenghua Gao.
IJCAI 2019 / bibtex
  @article{luo2019ijcai,
    Author    = {Wen Liu, Weixin Luo, Shenghua Gao},
    Title     = {Large Margin Video Anomaly Detection with A Few Anomalies},
    Journal   = {IJCAI},
    Year      = {2019}}
      
Density Map Regression Guided Detection Network for RGB-D Crowd Counting and Localization
Dongze Lian, Jing Li, Jia Zheng, Weixin Luo, Shenghua Gao
CVPR 2019 / bibtex
  @article{luowx2019cvpr1,
    Author    = {Dongze Lian, Jing Li, Jia Zheng, Weixin Luo, Shenghua Gao},
    Title     = {Density Map Regression Guided Detection Network for RGB-D Crowd Counting and Localization},
    Journal   = {CVPR},
    Year      = {2019}}
      
RGBD Based Gaze Estimation via Multi-task CNN
Dongze Lian, Ziheng Zhang, Weixin Luo, lina hu, Minye Wu, Zechao Li, Jingyi Yu, Shenghua Gao.
AAAI 2019 / bibtex
  @article{luowx2019aaai,
    Author    = {Dongze Lian, Ziheng Zhang, Weixin Luo, lina hu, Minye Wu, Zechao Li, Jingyi Yu, Shenghua Gao},
    Title     = {RGBD Based Gaze Estimation via Multi-task CNN},
    Journal   = {AAAI},
    Year      = {2019}}
      
Future Frame Prediction for Anomaly Detection – A New Baseline
Wen Liu*, Weixin Luo*, Shenghua Gao.
CVPR 2018 / bibtex
  @article{luowx2018cvpr1,
    Author    = {Wen Liu*, Weixin Luo*, Shenghua Gao.},
    Title     = {Future Frame Prediction for Anomaly Detection – A New Baseline},
    Journal   = {CVPR},
    Year      = {2018}}
      
Face Aging with Identity-Preserved Conditional Generative Adversarial Network
Zongwei Wang, Xu Tang, Weixin Luo, Shenghua Gao.
CVPR 2018 / bibtex
  @article{luowx2018cvpr2,
    Author    = {Zongwei Wang, Xu Tang, Weixin Luo, Shenghua Gao.},
    Title     = {Face Aging with Identity-Preserved Conditional Generative Adversarial Network},
    Journal   = {CVPR},
    Year      = {2018}}
      
Multi-view Multi-task Gaze Prediction with Deep Convolutional Neural Networks.
Dongze Lian, Shenghua Gao, Lina Hu, Weixin Luo, Yanyu Xu, Lixin Duan, Jingyi Yu.
TNNLS 2018 / bibtex
  @article{luowx2018tnnls,
    Author    = {Dongze Lian, Shenghua Gao, Lina Hu, Weixin Luo, Yanyu Xu, Lixin Duan, Jingyi Yu.},
    Title     = {Multi-view Multi-task Gaze Prediction with Deep Convolutional Neural Networks.},
    Journal   = {TNNLS},
    Year      = {2018}}
      
A Revisit of Sparse Coding Based Anomaly Detection in Stacked RNN Framework
Weixin Luo*, Wen Liu*, Shenghua Gao.
ICCV 2017 / bibtex
  @article{luowx2017iccv,
    Author    = {Weixin Luo, Wen Liu, Shenghua Gao.},
    Title     = {A Revisit of Sparse Coding Based Anomaly Detection in Stacked RNN Framework},
    Journal   = {ICCV},
    Year      = {2017}}
      
Remembering History with Convolutional LSTM for Anomaly Detection
Weixin Luo*, Wen Liu*, Shenghua Gao.
ICME 2017 (oral)/ bibtex
  @article{luowx2017icme,
    Author    = {Weixin Luo, Wen Liu, Shenghua Gao.},
    Title     = {Remembering History with Convolutional LSTM for Anomaly Detection},
    Journal   = {ICME},
    Year      = {2017}}
      
Analysis-Synthesis Dictionary Learning for Universality-Particularity Representation Based Classification
Meng Yang, Weiyang Liu, Weixin Luo, Linlin Shen.
AAAI 2016 / bibtex
  @article{luowx2016aaai,
    Author    = {Meng Yang, Weiyang Liu, Weixin Luo, Linlin Shen.},
    Title     = {Analysis-Synthesis Dictionary Learning for Universality-Particularity Representation Based Classification},
    Journal   = {AAAI},
    Year      = {2016}}
      

I like this website