Jie Huang黄杰Ph.D Candidate
University of Science and Technology of China, Anhui, China |
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Biography
I am currently a Ph.D. student in department of automation, University of Science and Technology of China (USTC), I obtained my B. Eng. degree in department of electronic engineering, Northwestern Polytechnical University (NWPU) in 2018.
My research interests focus on computer vision, especially low-level vision tasks, advised by Feng Zhao and Zhiwei Xiong,
News
[07/2023] One paper accepted to ACMMM (Oral) 2023
[07/2023] Four papers accepted to ICCV 2023
[05/2023] One paper accepted to TNNLS
Publications [Google Scholar]
(^ denotes equal contribution, # denotes corresponding authors)2023
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Deep Adaptive Pansharpening via Uncertainty-aware Image Fusion (TGRS)
Kaiwen Zheng, Jie Huang^, Man Zhou, Danfeng Hong, Feng Zhao
[pdf] [code]
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Region-Aware Portrait Retouching with Sparse Interactive Guidance (TMM)
Huiming Zeng, Jie Huang, Jiacheng Li, Zhiwei Xiong
[pdf] [code]
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Learning Sample Relationship for Exposure Correction (CVPR)
Jie Huang^, man zhou^, Jie Xiao, kaiwen zheng, Naishan Zheng, Feng Zhao#, Zhiwei Xiong
[pdf] [code]
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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]
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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]
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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]
2022
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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]
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Unsupervised Underexposed Image Enhancement via Self-Illuminated and Perceptual Guidance (TMM)
Naishan Zheng^, Jie Huang^, Feng Zhao#, Xueyang Fu, Feng Wu
[pdf]
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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]
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Frequency and Spatial Dual Guidance for Image Dehazing (ECCV)
Hu Yu, Naishan Zheng, Man Zhou, Jie Huang, Feng Zhao
[pdf] [code]
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Exposure-Consistency Representation Learning for Exposure Correction (ACMMM)
Jie Huang^, Man Zhou^, Yajing Liu, Mingde Yao, Feng Zhao#, Zhiwei Xiong
[pdf] [code]
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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]
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SIR-Former: Stereo Image Restoration Using Transformer (ACMMM)
Zizheng Yang^, Mingde Yao^, Jie Huang, Man Zhou, Feng Zhao#
[pdf] [code]
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Source-Free Domain Adaptation for Real-world Image Dehazing (ACMMM)
Hu Yu^, Jie Huang^, Yajing Liu, Qi Zhu, Man Zhou, Feng Zhao
[pdf] [code]
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Structure- and Texture-Aware Learning for Low-Light Image Enhancement (ACMMM)
Jinghao Zhang^, Jie Huang^, Mingde Yao, Man Zhou, Feng Zhao
[pdf] [code]
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Bijective Mapping Network for Shadow Removal (CVPR) (Oral)
Yurui Zhu^, Jie Huang^, Xueyang Fu#, Feng Zhao, Qibin Sun, and Zheng-Jun Zha
[pdf] [code]
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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]
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DAST-Net: Depth-aware spatio-temporal network for video deblurring (ICME) (Oral)
Qi Zhu, Zeyu Xiao, Jie Huang, Feng Zhao#
[pdf]
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Low-Light Stereo Image Enhancement (TMM)
Jie Huang, Xueyang Fu, Zeyu Xiao, Feng Zhao, Zhiwei Xiong#
[pdf] [code]
2021
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EDPN: Enhanced deep pyramid network for blurry image restoration (CVPR Workshop)
Ruikang Xu^, Zeyu Xiao^, Jie Huang, Yueyi Zhang#, Zhiwei Xiong
[pdf] [code]
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Space-Time Distillation for Video Super-Resolution (CVPR)
Zeyu Xiao, Xueyang Fu, Jie Huang, Zhen Cheng, and Zhiwei Xiong#
[pdf]
2019
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Hybrid Image Enhancement With Progressive Laplacian Enhancing Unit (ACMMM)
Jie Huang, Zhiwei Xiong#, Xueyang Fu, Dong Liu, Zheng-Jun Zha
[pdf]
2018
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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
- National Scholarship (国家奖学金) of Ph.D. Student in 2022
- 2nd place in 首届全国人工智能大赛 AI-4K HDR赛道 (500000 RMB Prize)
- 3rd place in CVPR2021@UG2 Challenge on Low-light Face Detection Track
- Winner Award in CVPR2021@NTIRE Challenge on Image Deblurring Track
- 2nd place in CVPR2020@NTIRE Challenge on Image Deblurring Track 2
- 1st place in ICCV2019@AIM Challenge on Bokeh effect Track 1
- 1st place in ECCV2018@PIRM Challenge on Image Enhancement Track 2
- Outstanding Graduate (优秀毕业生) of NWPU in 2018 (Rank 1/32)
- National Scholarship (国家奖学金) of B.E. Student in 2017
Service
- Conference reviewer: CVPR/ICCV/ECCV/NeurlPS/AAAI/
- Journal reviewer: TMM/TCSVT