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Lizhi Wang (王立志)
Professor, PH.D. Advisor
Visula Media Computing Lab, School of Computer Science and Technology |
Beijing Institute of Technology, Beijing 100081, China |
Email: wanglizhi@bit.edu.cn
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- Computer Vision (e.g., physics-based vision, low-level vision)
- Computational Imaging (e.g., imaging algorithm / cameras / optics)
- Image Processing (e.g., image restoration / reconstruction / enhancement)
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| 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, VR/AR. Candidates please send CV to me. [中文主页] |
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| 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 |
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[Paper]
[Code]
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| 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 |
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[Paper]
[Code]
[Video]
[Chinese Note]
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| Quantization-Aware Deep Optics for Diffractive Snapshot Hyperspectral Imaging |
| Lingen Li, Lizhi Wang, Weitao Song, Lei Zhang, Zhiwei Xiong, Hua Huang. |
| CVPR, 2022 |
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[Paper]
[Code]
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| High-Accuracy Image Formation Model for Coded Aperture Snapshot Spectral Imaging |
| Lingfei Song, Lizhi Wang, Min H. Kim, Hua Huang. |
| TCI, 2022 |
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[Paper]
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| Sparse additive discriminant canonical correlation analysis for multiple features fusion |
| Zhan Wang, Lizhi Wang, Hua Huang. |
| Neurocomputing, 2021 |
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[Paper]
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| Learning Tensor Low-Rank Prior for Hyperspectral Image Reconstruction |
| Lizhi Wang, Shipeng Zhang, Hua Huang. |
| CVPR, 2021 |
| [Paper]
[Code] |
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| Adaptive Dimension-Discriminative Low-Rank Tensor Recovery for Computational Hyperspectral Imaging |
| Shipeng Zhang, Lizhi Wang, Lei Zhang, Hua Huang. |
| IJCV, 2021 |
| [Paper] |
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| High light efficiency snapshot spectral imaging via spatial multiplexing and spectral mixing |
| Maoqing Zhang, Lizhi Wang, Lei Zhang, Hua Huang. |
| Optics Express, 2020 |
| [Paper] |
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| DNU: deep non-local unrolling for computational spectral imaging |
| Lizhi Wang, Chen Sun, Maoqing Zhang, Ying Fu, Hua Huang. |
| CVPR, 2020 |
| [Paper]
[Code] |
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| Computational hyperspectral imaging based on dimension-discriminative low-rank tensor recovery |
| Shipeng Zhang, Lizhi Wang, Ying Fu, Xiaoming Zhong, Hua Huang. |
| ICCV, 2019 |
| [Paper] |
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| Hyperspectral image reconstruction using a deep spatial-spectral prior |
| Lizhi Wang, Chen Sun, Ying Fu, Min H. Kim, Hua Huang. |
| CVPR, 2019 |
| [Paper][Code] |
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| Hyperreconnet: Joint coded aperture optimization and image reconstruction for compressive hyperspectral imaging |
| Lizhi Wang, Tao Zhang, Ying Fu, Hua Huang. |
| TIP, 2019 |
| [Paper][Code] |
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| 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] |
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| Adaptive Nonlocal Sparse Representation for Dual-Camera Compressive Hyperspectral Imaging |
| Lizhi Wang, Zhiwei Xiong, Guangming Shi, Feng Wu, Wenjun Zeng. |
| TPAMI, 2017 |
| [Paper] |
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| Snapshot hyperspectral light field imaging |
| Zhiwei Xiong, Lizhi Wang, Huiqun Li, Dong Liu, Feng Wu. |
| CVPR, 2017 |
| [Paper] |
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| Simultaneous depth and spectral imaging with a cross-modal stereo system |
| Lizhi Wang, Zhiwei Xiong, Guangming Shi, Wenjun Zeng, Feng Wu. |
| TCSVT, 2017 |
| [Paper] |
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| 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] |
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