Jie Liang (梁杰)
Visual Computing Lab
Department of Computing
The Hong Kong Polytechnic University (PolyU)
Contact: liang27jie@gmail.com

[Google Scholar] [Github]

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Welcome!

I am currently a Ph.D. student at The Hong Kong Polytechnic University (PolyU), under the supervision of Prof. Lei Zhang. I received my Master degree at Nankai University in 2019, under the supervision of Prof. Jufeng Yang. I received my Bachelor degree from Ocean University of China in 2016. My research interests include Computer Vision and Machine Learning. Recently, I am interested in image restoration (especially image super-resolution) and image enhancement.

During my research, I also cooperated with Prof. Ming-Ming Cheng (Nankai University), Prof. Ming-Hsuan Yang (UC Merced), and Prof. Paul L. Rosin (Cardiff University).

News
  •   • 2022.07:   [Paper] Our DASR is accepted to ECCV 2022
  •   • 2022.04:   [Activity] I start my internship at OPPO Research Institute
  •   • 2022.03:   [Project] The code of DASR is released at Github
  •   • 2022.03:   [Paper] One preprint paper is released at ArXiv
  •   • 2022.03:   [Project] The code of LDL is released at Github
  •   • 2022.03:   [Paper] One paper is accepted to CVPR 2022, and is selected for an Oral Presentation
  •   • 2021.11:   [Activity] I complete my internship at DAMO Academy, Alibaba Group (2020.03 - 2021.11)
  •   • 2021.05:   [Project] The code and dataset of LPTN are released at Github
  •   • 2021.03:   [Project] The code and dataset of PPR10K are released at Github
  •   • 2021.03:   [Paper] Two papers are accepted to CVPR 2021
  •   • 2020.03:   [Activity] I start my internship at DAMO Academy, Alibaba Group
  •   • 2020.01:   [Competition] Our team win the first prize (1/1200) of the National Artificial Intelligence Competition (AI + 4K HDR Track, Links: 1, 2, 3)
  •   • 2020.01:   [Study] I start my Ph.D. studying at The Hong Kong Polytechnic University (PolyU) under the supervision of Prof. Lei Zhang
  •   • 2019.07:   [Activity] I serve as a Research Assistant at The Hong Kong Polytechnic University (PolyU) in Visual Computing Lab
  •   • 2019.06:   [Award] I receive the Outstanding Graduate Honor and Excellent Master Thesis Honor from Nankai University
  •   • 2019.04:   [Activity] I attend the VALSE 2019 conference at Hefei, China
  •   • 2019.04:   [Paper] One paper is accepted to IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI 2020)
  •   • 2019.02:   [Reviewer] I am invited as a reviewer of ICCV 2019 and TIP
  •   • 2019.02:   [Paper] One paper is accepted to IEEE Transactions on Image Processing (TIP 2019)
  •   • 2018.11:   [Award] I receive the National Scholarship for graduate students
  •   • 2018.09:   [Activity] I attend the ECCV 2018 conference at Munich, Germany. Beautiful City!
  •   • 2018.06:   [Activity] I start my internship at ByteDance AI Lab
  •   • 2018.07:   [Paper] One paper is accepted to ECCV 2018
  •   • 2018.05:   [Paper] One paper is accepted to IEEE Transactions on Image Processing (TIP 2018)
  •   • 2018.04:   [Award] I am selected as an Outstanding Reviewer of CVPR 2018
  •   • 2018.04:   [Activity] I attend the VALSE 2018 conference at Dalian, China
  •   • 2018.02:   [Activity] I attend the AAAI 2018 conference at New Orleans, USA
  •   • 2017.11:   [Papers] Two papers are accepted to AAAI 2018
  •   • 2016.07:   [Study] I start my Master studying at Nankai University in Computer Vision Lab
Selected Publications
Efficient and Degradation-Adaptive Network for Real-World Image Super-Resolution
Jie Liang, Hui Zeng and Lei Zhang
European Conference on Computer Vision (ECCV), 2022
paper
codes, models and datasets
AIWalker Article
Details or Artifacts: A Locally Discriminative Learning Approach to Realistic Image Super-Resolution
Jie Liang, Hui Zeng and Lei Zhang
Conference on Computer Vision and Pattern Recognition (CVPR), 2022 (Oral Presentation)
paper
supplementary material
codes, models and datasets
High-Resolution Photorealistic Image Translation in Real-Time: A Laplacian Pyramid Translation Network
Jie Liang, Hui Zeng and Lei Zhang
Conference on Computer Vision and Pattern Recognition (CVPR), 2021
paper
supplementary material, poster
datasets and codes
Youtube Video, What's AI Article, AIWalker Article
PPR10K: A Large-Scale Portrait Photo Retouching Dataset with Human-Region Mask and Group-Level Consistency
Jie Liang, Hui Zeng, Miaomiao Cui, Xuansong Xie and Lei Zhang
Conference on Computer Vision and Pattern Recognition (CVPR), 2021
paper
supplementary material, poster
datasets and codes
Subspace Clustering via Good Neighbors
Jufeng Yang, Jie Liang, Kai Wang Paul L. Rosin and Ming-Hsuan Yang
IEEE Transactions on Pattern Analysis and Machine Intelligence(TPAMI), 42(6): 1537-1544, 2020
paper
project page (codes)
Simultaneous Subspace Clustering and Cluster Number Estimating based on Triplet Relationship
Jie Liang, Jufeng Yang, Ming-Ming Cheng, Paul L. Rosin and Liang Wang
IEEE Transactions on Image Processing (TIP), 28(8): 3973-3985, 2019
paper
project page (codes)
Dynamic Match Kernel with Deep Convolutional Features for Image Retrieval
Jufeng Yang, Jie Liang, Hui Shen, Kai Wang, Paul L. Rosin and Ming-Hsuan Yang
IEEE Transactions on Image Processing (TIP), 27(11): 5288-5302, 2018
paper
poster (valse 2019)
project page (codes)
Sub-GAN: An Unsupervised Generative Model via Subspaces
Jie Liang, Jufeng Yang, Hsin-Ying Lee, Kai Wang and Ming-Hsuan Yang
European Conference on Computer Vision (ECCV), 2018
paper
poster
Automatic Model Selection in Subspace Clustering via Triplet Relationships
Jufeng Yang, Jie Liang, Kai Wang, Yong-Liang Yang and Ming-Ming Cheng
AAAI Conference on Artificial Intelligence (AAAI), 2018
paper
poster
project page (codes)
Coauthored Papers
  • 1. Jufeng Yang, Xiaoxiao Sun, Jie Liang, and Paul L. Rosin, Clinical Skin Lesion Diagnosis using Representations Inspired by Dermatologist Criteria, CVPR 2018
  • 2. Jufeng Yang, Xiaoping Wu, Jie Liang, Xiaoxiao Sun, Ming-Ming Cheng, Paul L. Rosin and Liang Wang, Self-Paced Balance Learning for Clinical Skin Disease Recognition, TNNLS 2019
  • 3. Xingxu Yao, Dongyu She, Sicheng Zhao, Jie Liang, Yu-Kun Lai, Jufeng Yang, Attention-aware polarity sensitive embedding for affective image retrieval, ICCV 2019
  • 4. Xiaoping Wu, Ni Wen, Jie Liang, Yu-Kun Lai, Dongyu She, Ming-Ming Cheng, Jufeng Yang, Joint acne image grading and counting via label distribution learning, ICCV 2019
    • Services
    Reviewer of:

    CVPR 2022, 2021, 2020, 2019, 2018 (Outstanding Reviewer Award)
    ICCV 2021, 2019
    ECCV 2020, 2022
    TPAMI
    TIP ...