HomeFacultyPengxu Wei
魏朋旭
Pengxu Wei
Research Scientist
weipx3@mail.sysu.edu.cn

教师简介


She is currently a research scientist at HCP Lab, Sun Yat-sen University, since 2018. Her research interests mainly include image super-resolution, domain adaptation, weakly supervised learning and latent variable models.

 

 

研究领域


  • Low-level Vision: Real-World Image Super-Resolution, Image Restoration
  • High-level Vision: Domain Adaptation, Weakly-Supervised Learning
  • Data Mining: Recommender System

 

 

获奖及荣誉


Outstanding Graduate, Beijing

Excellent League Member, Beijing

National Scholarship

National Encouragement Scholarship

Pacemaker to Merit Student, UCAS

Excellent Student Cadre, UCAS

Merit Student, UCAS

First prize of China Undergraduate Mathematical Contest in Modeling, Beijing

 

 

教育背景


University of Chinese Academy of Sciences (UCAS), Beijing, China

Ph.D. in Computer Science, Jan. 2018

 

China University of Mining and Technology, Beijing (CUMTB), Beijing, China

B.S. in Computer Science, Jul. 2011

 

 

工作经历


Postdoc, Sun Yat-sen University, 2018-2020

 

主要学术兼职


Reviewer: T-PAMI, T-IP, CVIU, ECCV 2020, CVPR 2020, CVPR 2021, AAAI 2021

 

Co-Organizer: AIM: Advances in Image Manipulation Workshop, Challenge on Real Image Super-Resolution (in conjunction with ECCV2020)

 

 

科研项目


1. National Key Research and Development Project, ¥610K

2. Youth Program of National Natural Science Foundation of China, ¥160K, 2021-2022

3. General Program of China Postdoctoral Science Foundation, ¥ 80K, 2020-2022

4. Fundamental Research Funds for the Central Universities, ¥ 150K, 2019-2021

 

 

代表性论著


  • Xipeng Chen#, Pengxu Wei*, Liang Lin. Deductive Learning for Weakly-Supervised 3D Human Pose Estimation via Uncalibrated Cameras, AAAI Conference on Artificial Intelligence (AAAI), 2021.
  • Pengxu Wei, Ziwei Xie, Hannan Lu, Zongyuan Zhan, Qixiang Ye, Wangmeng Zuo, Liang Lin*. Component Divide-and-Conquer for Real-World Image Super-Resolution, European Conference on Computer Vision (ECCV), 2020.
  • Pengxu Wei, Hannan Lu, Radu Timofte, Liang Lin, Wangmeng Zuo, et al. AIM 2020 Challenge on Real ImageSuper-Resolution: Methods and Results, European Conference on Computer Vision (ECCV) Workshop, 2020.
  • RuimaoZhang#, Wei Yang, Zhanglin Peng, Pengxu Wei*, Xiaogang Wang, Liang Lin. Progressively Diffused Networks for Semantic Visual Parsing, Pattern Recognition (PR), 2019, 90(6): 78-86.
  • Keze Wang#, Liang Lin*, Chenhan Jiang, Chen Qian, Pengxu Wei. 3D Human Pose Machines with Self-supervised Learning, IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), 2019, 42(5):1069-1082.
  • Fang Wan#, Pengxu Wei, Jianbin Jiao, Zhenjun Han, Qixiang Ye*. Min-Entropy Latent Model for Weakly Supervised Object Detection. IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), 2019, 41(10):2395-2409.
  • Pengxu Wei, Fei Qin, Fang Wan, Yi Zhu, Jianbin Jiao, Qixiang Ye. Correlated Topic Vector for Scene Classification, IEEE Transactions on Image Processing (TIP), 2017, 26(7):3221-3234.
  • Fang Wan, Pengxu Wei, Jianbin Jiao, Zhenjun Han, Qixiang Ye. Min-Entropy Latent Model for Weakly Supervised Object Detection, IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2018.
  • Fang Wan, Pengxu Wei, Zhenjun Han, Kun Fu, Qixiang Ye. Weakly Supervised Object Detection with Correlation and Part Suppression. IEEE International Conference on Image Processing (ICIP) 2016:3638-3642.
  • Xiaodan Zhang, Shenfeng He, Xinhang Song, Pengxu Wei, Shuqiang Jiang, Qixiang Ye, Jianbin Jiao, Rynson Lau. Keyword-driven Image Captioning via Context-dependent Bilateral LSTM. IEEE International Conference on Multimedia and Expo (ICME) 2017:781-786.
  • Wei Ke, Yao Zhang, Pengxu Wei, Qixiang Ye, Jianbin Jiao. Pedestrian Detection via PCA Filters Based Convolutional Channel Features. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2015:1394-1398.

 

Pengxu Wei
Pengxu Wei
Research Scientist
weipx3@mail.sysu.edu.cn

教师简介


She is currently a research scientist at HCP Lab, Sun Yat-sen University, since 2018. Her research interests mainly include image super-resolution, domain adaptation, weakly supervised learning and latent variable models.

 

 

研究领域


  • Low-level Vision: Real-World Image Super-Resolution, Image Restoration
  • High-level Vision: Domain Adaptation, Weakly-Supervised Learning
  • Data Mining: Recommender System

 

 

获奖及荣誉


Outstanding Graduate, Beijing

Excellent League Member, Beijing

National Scholarship

National Encouragement Scholarship

Pacemaker to Merit Student, UCAS

Excellent Student Cadre, UCAS

Merit Student, UCAS

First prize of China Undergraduate Mathematical Contest in Modeling, Beijing

 

 

教育背景


University of Chinese Academy of Sciences (UCAS), Beijing, China

Ph.D. in Computer Science, Jan. 2018

 

China University of Mining and Technology, Beijing (CUMTB), Beijing, China

B.S. in Computer Science, Jul. 2011

 

 

工作经历


Postdoc, Sun Yat-sen University, 2018-2020

 

主要学术兼职


Reviewer: T-PAMI, T-IP, CVIU, ECCV 2020, CVPR 2020, CVPR 2021, AAAI 2021

 

Co-Organizer: AIM: Advances in Image Manipulation Workshop, Challenge on Real Image Super-Resolution (in conjunction with ECCV2020)

 

 

科研项目


1. National Key Research and Development Project, ¥610K

2. Youth Program of National Natural Science Foundation of China, ¥160K, 2021-2022

3. General Program of China Postdoctoral Science Foundation, ¥ 80K, 2020-2022

4. Fundamental Research Funds for the Central Universities, ¥ 150K, 2019-2021

 

 

代表性论著


  • Xipeng Chen#, Pengxu Wei*, Liang Lin. Deductive Learning for Weakly-Supervised 3D Human Pose Estimation via Uncalibrated Cameras, AAAI Conference on Artificial Intelligence (AAAI), 2021.
  • Pengxu Wei, Ziwei Xie, Hannan Lu, Zongyuan Zhan, Qixiang Ye, Wangmeng Zuo, Liang Lin*. Component Divide-and-Conquer for Real-World Image Super-Resolution, European Conference on Computer Vision (ECCV), 2020.
  • Pengxu Wei, Hannan Lu, Radu Timofte, Liang Lin, Wangmeng Zuo, et al. AIM 2020 Challenge on Real ImageSuper-Resolution: Methods and Results, European Conference on Computer Vision (ECCV) Workshop, 2020.
  • RuimaoZhang#, Wei Yang, Zhanglin Peng, Pengxu Wei*, Xiaogang Wang, Liang Lin. Progressively Diffused Networks for Semantic Visual Parsing, Pattern Recognition (PR), 2019, 90(6): 78-86.
  • Keze Wang#, Liang Lin*, Chenhan Jiang, Chen Qian, Pengxu Wei. 3D Human Pose Machines with Self-supervised Learning, IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), 2019, 42(5):1069-1082.
  • Fang Wan#, Pengxu Wei, Jianbin Jiao, Zhenjun Han, Qixiang Ye*. Min-Entropy Latent Model for Weakly Supervised Object Detection. IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), 2019, 41(10):2395-2409.
  • Pengxu Wei, Fei Qin, Fang Wan, Yi Zhu, Jianbin Jiao, Qixiang Ye. Correlated Topic Vector for Scene Classification, IEEE Transactions on Image Processing (TIP), 2017, 26(7):3221-3234.
  • Fang Wan, Pengxu Wei, Jianbin Jiao, Zhenjun Han, Qixiang Ye. Min-Entropy Latent Model for Weakly Supervised Object Detection, IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2018.
  • Fang Wan, Pengxu Wei, Zhenjun Han, Kun Fu, Qixiang Ye. Weakly Supervised Object Detection with Correlation and Part Suppression. IEEE International Conference on Image Processing (ICIP) 2016:3638-3642.
  • Xiaodan Zhang, Shenfeng He, Xinhang Song, Pengxu Wei, Shuqiang Jiang, Qixiang Ye, Jianbin Jiao, Rynson Lau. Keyword-driven Image Captioning via Context-dependent Bilateral LSTM. IEEE International Conference on Multimedia and Expo (ICME) 2017:781-786.
  • Wei Ke, Yao Zhang, Pengxu Wei, Qixiang Ye, Jianbin Jiao. Pedestrian Detection via PCA Filters Based Convolutional Channel Features. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2015:1394-1398.