Lizhi Wang 王立志

Professor, PH.D. Advisor

Intelligence Media Computing Lab, School of Artificial Intelligence
Beijing Normal University, Beijing, China

Email: wanglizhi@bnu.edu.cn

Research
  • Computer Vision (e.g., physics-based vision, low-level vision)
  • Computational Imaging (e.g., imaging algorithm / cameras / optics)
  • Computational Photography (e.g., image restoration / reconstruction / enhancement)

Opportunity!   I am currently serving as an Associate Editor (AE) of IEEE TIP. Our team is recuriting qualified Faculties/Postdocs and self-motivated Ph.D./M.D. students, with exciting interests on CV, CP, IP. Candidates please send CV to me. [中文主页]

Projects
Stimulating Diffusion Model for Image Denoising via Adaptive Embedding and Ensembling
Tong Li, Hansen Feng, Lizhi Wang, Lin Zhu, Zhiwei Xiong, Hua Huang.
TPAMI, 2024
[Paper]
Non-serial Quantization-aware Deep Optics for Snapshot Hyperspectral Imaging
Lizhi Wang, Lingen Li, Weitao Song, Lei Zhang, Zhiwei Xiong, Hua Huang.
TPAMI, 2024
[Paper]
In2SET: Intra-Inter Similarity Exploiting Transformer for Dual-Camera Compressive Hyperspectral Imaging
Xin Wang, Lizhi Wang, Xiangtian Ma, Maoqing Zhang, Lin Zhu, Hua Huang.
CVPR, 2024
[Paper]
Learning Exhaustive Correlation for Spectral Super-Resolution: Where Unified Spatial-Spectral Attention Meets Mutual Linear Dependence
Hongyuan Wang, Lizhi Wang, Jiang Xu, Chang Chen, Xue Hu, Fenglong Song, Youliang Yan.
ECCV, 2024
[Paper]
Gt-had: Gated transformer for hyperspectral anomaly detection
Jie Lian, Lizhi Wang, He Sun, Hua Huang.
TNNLS, 2024
[Paper]
Learnability enhancement for low-light raw image denoising: A data perspective
Hansen Feng, Lizhi Wang, Yuzhi Wang, Haoqiang Fan, Hua Huang.
TPAMI, 2023
[Paper] [Project/Dataset/Code] [Chinese Note]
Learning Spectral-wise Correlation for Spectral Super-Resolution: Where Similarity Meets Particularity
Hongyuan Wang, Lizhi Wang, Chang Chen, Xue Hu, Fenglong Song, Hua Huang.
ACM MM, 2023
[Paper] [Code]
Learnability Enhancement for Low-light Raw Denoising: Where Paired Real Data Meets Noise Modeling
Hansen Feng, Lizhi Wang, Yuzhi Wang, Hua Huang.
ACM MM, 2022, Best Paper Runner-Up Award
[Paper] [Code] [Video] [Chinese Note]
Quantization-Aware Deep Optics for Diffractive Snapshot Hyperspectral Imaging
Lingen Li, Lizhi Wang, Weitao Song, Lei Zhang, Zhiwei Xiong, Hua Huang.
CVPR, 2022
[Paper] [Code]
High-Accuracy Image Formation Model for Coded Aperture Snapshot Spectral Imaging
Lingfei Song, Lizhi Wang, Min H. Kim, Hua Huang.
TCI, 2022
[Paper]
Sparse additive discriminant canonical correlation analysis for multiple features fusion
Zhan Wang, Lizhi Wang, Hua Huang.
Neurocomputing, 2021
[Paper]
Learning Tensor Low-Rank Prior for Hyperspectral Image Reconstruction
Lizhi Wang, Shipeng Zhang, Hua Huang.
CVPR, 2021
[Paper] [Code]
Adaptive Dimension-Discriminative Low-Rank Tensor Recovery for Computational Hyperspectral Imaging
Shipeng Zhang, Lizhi Wang, Lei Zhang, Hua Huang.
IJCV, 2021
[Paper]
High light efficiency snapshot spectral imaging via spatial multiplexing and spectral mixing
Maoqing Zhang, Lizhi Wang, Lei Zhang, Hua Huang.
Optics Express, 2020
[Paper]
DNU: deep non-local unrolling for computational spectral imaging
Lizhi Wang, Chen Sun, Maoqing Zhang, Ying Fu, Hua Huang.
CVPR, 2020
[Paper] [Code]
Computational hyperspectral imaging based on dimension-discriminative low-rank tensor recovery
Shipeng Zhang, Lizhi Wang, Ying Fu, Xiaoming Zhong, Hua Huang.
ICCV, 2019
[Paper]
Hyperspectral image reconstruction using a deep spatial-spectral prior
Lizhi Wang, Chen Sun, Ying Fu, Min H. Kim, Hua Huang.
CVPR, 2019
[Paper][Code]
Hyperreconnet: Joint coded aperture optimization and image reconstruction for compressive hyperspectral imaging
Lizhi Wang, Tao Zhang, Ying Fu, Hua Huang.
TIP, 2019
[Paper][Code]
High-speed hyperspectral video acquisition by combining nyquist and compressive sampling
Lizhi Wang, Zhiwei Xiong, Hua Huang, Guangming Shi, Feng Wu, Wenjun Zeng.
TPAMI, 2019
[Paper]
Adaptive Nonlocal Sparse Representation for Dual-Camera Compressive Hyperspectral Imaging
Lizhi Wang, Zhiwei Xiong, Guangming Shi, Feng Wu, Wenjun Zeng.
TPAMI, 2017
[Paper]
Snapshot hyperspectral light field imaging
Zhiwei Xiong, Lizhi Wang, Huiqun Li, Dong Liu, Feng Wu.
CVPR, 2017
[Paper]
Simultaneous depth and spectral imaging with a cross-modal stereo system
Lizhi Wang, Zhiwei Xiong, Guangming Shi, Wenjun Zeng, Feng Wu.
TCSVT, 2017
[Paper]
High-speed hyperspectral video acquisition with a dual-camera architecture
Lizhi Wang, Zhiwei Xiong, Dahua Gao, Guangming Shi, Wenjun Zeng, Feng Wu.
CVPR, 2015
[Paper]

Links
Intelligence Media Computing Lab