Jie Huang


Ph.D Candidate

University of Science and Technology of China, Anhui, China

Email: hj0117@mail.ustc.edu.cn
Email: nwpuhuangjie@outlook.com
Wechat: kevinj-huang
Blogs: kevinj-huang.github.io


I am currently a Ph.D. student in department of automation, University of Science and Technology of China (USTC), I obatained my B. Eng. degree in department of electronic engineering, Northwestern Polytechnical University (NWPU) in 2018.

My research interests focus on computer vsion, especially low-level vision tasks, advised by Feng Zhao and Zhiwei Xiong, and I also work closely with Xueyang Fu. I supervise the low-level vision group of BIVLab.

I am looking for research positions about computer vision and image processing, please contact me if you have related information.


    [03/2023] One paper accepted to TMM
    [02/2023] Three papers accepted to CVPR 2023
    [01/2023] One paper accepted to TGRS
    [11/2022] One paper accepted to AAAI 2023

Work Expericence

  • Engineering internship at Alibaba group (July 2020-September 2020).

  • Engineering internship at Tenctent PCG (April 2020-July 2020).

  • Research internship at meitu, MTlab (June 2018-September 2018).

Publications [Google Scholar]

(^ denotes equal contribution, # denotes corresponding authors)


  • Region-Aware Portrait Retouching with Sparse Interactive Guidance (TMM)
    Huiming Zeng, Jie Huang, Jiacheng Li, Zhiwei Xiong
    [pdf] [code]

  • Learning Sample Relationship for Exposure Correction (CVPR)
    Jie Huang^, man zhou^, Jie Xiao, kaiwen zheng, Naishan Zheng, Feng Zhao#, Zhiwei Xiong
    [pdf] [code]

  • Visual Recognition-Driven Image Restoration for Multiple Degradation with Intrinsic Semantics Recovery (CVPR)
    Zizheng Yang, Jie Huang^, Jiahao Chang, man zhou, Hu Yu, JingHao Zhang, Feng Zhao
    [pdf] [code]

  • Ingredient-oriented Multi-Degradation Learning for Image Restoration (CVPR)
    JingHao Zhang^, Jie Huang^, Mingde Yao, Zizheng Yang, Hu Yu, man zhou, Feng Zhao#
    [pdf] [code]

  • Learning Semantic Degradation-Aware Guidance for Recognition-Driven Unsupervised Low-Light Image Enhancement (AAAI)
    Naishan Zheng^, Jie Huang^, man zhou, Zizheng Yang, Qi Zhu, Feng Zhao#
    [pdf] [code]

  • Modality-aware Feature Integration for Pan-sharpening (TGRS)
    man zhou, Jie Huang^, Feng Zhao, Danfeng Hong#
    [pdf] [code]


  • Deep Fourier Up-Sampling (NeurIPS)
    Man Zhou^, Hu Yu^, Jie Huang, Feng Zhao, Jinwei Gu, Chen Change Loy, Deyu Meng, and Chongyi Li#
    [pdf] [code]

  • Panchromatic and Multispectral Image Fusion via Alternating Reverse Filtering Network (NeurIPS)
    Keyu Yan^, Man Zhou^, Jie Huang, Chengjun Xie, Feng Zhao, Chongyi Li, and Danfeng Hong#
    [pdf] [code]

  • Effective Pan-sharpening by Multi-Scale Invertible Neural Network and Heterogeneous Task Distilling (IEEE TGRS)
    Man Zhou^, Jie Huang^, Xueyang Fu#, Feng Zhao, Danfeng Hong

  • CNSNet: A Cleanness-Navigated-Shadow Network for Shadow Removal (ECCV@AIM Workshop)
    Qianhao Yu^, Naishan Zheng^, Jie Huang, Feng Zhao#

  • Unsupervised Underexposed Image Enhancement via Self-Illuminated and Perceptual Guidance (IEEE TMM)
    Naishan Zheng^, Jie Huang^, Feng Zhao#, Xueyang Fu, Feng Wu

  • Deep Fourier-based Exposure Correction Network with Spatial-Frequency Interaction (ECCV) (Oral)
    Jie Huang^, Yajing Liu^, Feng Zhao#, Keyu Yan, Jinghao Zhang, Yukun Huang, Man Zhou#, Zhiwei Xiong
    [pdf] [code]

  • Spatial-Frequency Domain Information Integration for Pan-sharpening (ECCV)
    Man Zhou^, Jie Huang^, Keyu Yan, Hu Yu, Xueyang Fu, Aiping Liu, Xian Wei, Feng Zhao#
    [pdf] [code]

  • Frequency and Spatial Dual Guidance for Image Dehazing (ECCV)
    Hu Yu, Naishan Zheng, Man Zhou, Jie Huang, Feng Zhao
    [pdf] [code]

  • Exposure-Consistency Representation Learning for Exposure Correction (ACMMM)
    Jie Huang^, Man Zhou^, Yajing Liu, Mingde Yao, Feng Zhao#, Zhiwei Xiong
    [pdf] [code]

  • Enhancement by Your Aesthetic: An Intelligible Unsupervised Personalized Enhancer for Low-Light Images (ACMMM)
    Naishan Zheng^, Jie Huang^, Qi Zhu, Man Zhou, Feng Zhao#, Zheng-jun Zha
    [pdf] [code]

  • Normalization-based Feature Selection and Restitution for Pan-sharpening (ACMMM)
    Man Zhou^, Jie Huang^, Keyu Yan, Gang Yang, Aiping Liu, Chongyi Li, Feng Zhao#
    [pdf] [code]

  • SIR-Former: Stereo Image Restoration Using Transformer (ACMMM)
    Zizheng Yang^, Mingde Yao^, Jie Huang, Man Zhou, Feng Zhao#
    [pdf] [code]

  • Adaptively Learning Low-high Frequency Information Integration for Pan-sharpening (ACMMM)
    Man Zhou^, Jie Huang^, Chongyi Li#, Hu Yu, Keyu Yu, Naishan Zheng, Feng Zhao
    [pdf] [code]

  • Source-Free Domain Adaptation for Real-world Image Dehazing (ACMMM)
    Hu Yu^, Jie Huang^, Yajing Liu, Qi Zhu, Man Zhou, Feng Zhao
    [pdf] [code]

  • Structure- and Texture-Aware Learning for Low-Light Image Enhancement (ACMMM)
    Jinghao Zhang^, Jie Huang^, Mingde Yao, Man Zhou, Feng Zhao
    [pdf] [code]

  • Bijective Mapping Network for Shadow Removal (CVPR) (Oral)
    Yurui Zhu^, Jie Huang^, Xueyang Fu#, Feng Zhao, Qibin Sun, and Zheng-Jun Zha
    [pdf] [code]

  • Exposure Normalization and Compensation for Multiple Exposure Correction (CVPR)
    Jie Huang^, Yajing Liu^, Xueyang Fu, Man Zhou, Yang Wang, Feng Zhao#, Zhiwei Xiong
    [pdf] [code]

  • Mutual Information-driven Pan-sharpening (CVPR)
    Man Zhou^, Keyu Yan^, Jie Huang, Zihe Yang, Xueyang Fu#, Feng Zhao

  • DAST-Net: Depth-aware spatio-temporal network for video deblurring (ICME) (Oral)
    Qi Zhu, Zeyu Xiao, Jie Huang, Feng Zhao#

  • Low-Light Stereo Image Enhancement (TMM)
    Jie Huang, Xueyang Fu, Zeyu Xiao, Feng Zhao, Zhiwei Xiong#
    [pdf] [code]

  • Pan-sharpening with Customized Transformer and Invertible Neural Network (AAAI)
    Man Zhou^, Jie Huang^, Yanchi Fang, Xueyang Fu, Aiping Liu
    [pdf] [code]


  • Effective Pan-Sharpening With Transformer and Invertible Neural Network (IEEE TGRS)
    Man Zhou, Xueyang Fu#, Jie Huang, Feng Zhao, Aiping Liu, Rujing Wang

  • EDPN: Enhanced deep pyramid network for blurry image restoration (CVPR Workshop)
    Ruikang Xu^, Zeyu Xiao^, Jie Huang, Yueyi Zhang#, Zhiwei Xiong
    [pdf] [code]

  • Space-Time Distillation for Video Super-Resolution (CVPR)
    Zeyu Xiao, Xueyang Fu, Jie Huang, Zhen Cheng, and Zhiwei Xiong#


  • Hybrid Image Enhancement With Progressive Laplacian Enhancing Unit (ACMMM)
    Jie Huang, Zhiwei Xiong#, Xueyang Fu, Dong Liu, Zheng-Jun Zha


  • Range scaling global u-net for perceptual image enhancement on mobile devices (ECCV Workshop)
    Jie Huang^, Pengfei Zhu^, Mingrui Geng^, Jiewen Ran^, Xingguang Zhou, Chen Xing, Pengfei Wan, Xiangyang Ji
    [pdf] [code]

Competitions & Awards