Lizhi Wang

Orcid: 0000-0002-1953-3339

Affiliations:
  • Beijing Institute of Technology, School of Computer, Beijing, China
  • Beijing Normal University, School of Artificial Intelligence, Beijing, China
  • Xidian University, Xi'an, China (PhD 2016)


According to our database1, Lizhi Wang authored at least 68 papers between 2015 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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Online presence:

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Bibliography

2025
YOND: Practical Blind Raw Image Denoising Free from Camera-Specific Data Dependency.
CoRR, June, 2025

PDE: Gene Effect Inspired Parameter Dynamic Evolution for Low-light Image Enhancement.
CoRR, May, 2025

Towards Ultra High-Speed Hyperspectral Imaging by Integrating Compressive and Neuromorphic Sampling.
Int. J. Comput. Vis., April, 2025

GT-HAD: Gated Transformer for Hyperspectral Anomaly Detection.
IEEE Trans. Neural Networks Learn. Syst., February, 2025

Continuous-Time Object Segmentation Using High Temporal Resolution Event Camera.
IEEE Trans. Pattern Anal. Mach. Intell., February, 2025

Event-Enhanced Snapshot Mosaic Hyperspectral Frame Deblurring.
IEEE Trans. Pattern Anal. Mach. Intell., January, 2025

Continuous Spatial-Spectral Reconstruction via Implicit Neural Representation.
Int. J. Comput. Vis., January, 2025

High Spatio-Temporal Imaging Reconstruction for Hybrid Spike-RGB Cameras.
IEEE Trans. Computational Imaging, 2025

Complementary Advantages: Exploiting Cross-Field Frequency Correlation for NIR-Assisted Image Denoising.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

Positive2Negative: Breaking the Information-Lossy Barrier in Self-Supervised Single Image Denoising.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024
Stimulating Diffusion Model for Image Denoising via Adaptive Embedding and Ensembling.
IEEE Trans. Pattern Anal. Mach. Intell., December, 2024

Non-Serial Quantization-Aware Deep Optics for Snapshot Hyperspectral Imaging.
IEEE Trans. Pattern Anal. Mach. Intell., November, 2024

Learnability Enhancement for Low-Light Raw Image Denoising: A Data Perspective.
IEEE Trans. Pattern Anal. Mach. Intell., January, 2024

Hyperbolic Space-Based Autoencoder for Hyperspectral Anomaly Detection.
IEEE Trans. Geosci. Remote. Sens., 2024

Learning a physics-based filter attachment for hyperspectral imaging with RGB cameras.
Neurocomputing, 2024

Unifying Event-based Flow, Stereo and Depth Estimation via Feature Similarity Matching.
CoRR, 2024

Temporal Residual Guided Diffusion Framework for Event-Driven Video Reconstruction.
CoRR, 2024

Exploiting Frequency Correlation for Hyperspectral Image Reconstruction.
CoRR, 2024

Physics-Inspired Degradation Models for Hyperspectral Image Fusion.
CoRR, 2024

MLP Embedded Inverse Tone Mapping.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Hysat++: Hybrid Spectral-Wise Attention Transformer for Skin Spectral Reconstruction.
Proceedings of the IEEE International Conference on Acoustics, 2024

Temporal Residual Guided Diffusion Framework for Event-Driven Video Reconstruction.
Proceedings of the Computer Vision - ECCV 2024, 2024

Learning Exhaustive Correlation for Spectral Super-Resolution: Where Spatial-Spectral Attention Meets Linear Dependence.
Proceedings of the Computer Vision - ECCV 2024, 2024

Diffusion-Promoted HDR Video Reconstruction.
Proceedings of the Computer Vision - ECCV 2024 Workshops, 2024

In2SET: Intra-Inter Similarity Exploiting Transformer for Dual-Camera Compressive Hyperspectral Imaging.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Computational Spectral Imaging with Unified Encoding Model and Beyond.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Event-Based Visible and Infrared Fusion via Multi-Task Collaboration.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

SpikeNeRF: Learning Neural Radiance Fields from Continuous Spike Stream.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
Sub-Pixel Dispersion Model for Coded Aperture Snapshot Spectral Imaging.
IEEE Trans. Computational Imaging, 2023

Computational Spectral Imaging with Unified Encoding Model: A Comparative Study and Beyond.
CoRR, 2023

Learning Exhaustive Correlation for Spectral Super-Resolution: Where Unified Spatial-Spectral Attention Meets Mutual Linear Dependence.
CoRR, 2023

Physics-guided Noise Neural Proxy for Low-light Raw Image Denoising.
CoRR, 2023

Stimulating the Diffusion Model for Image Denoising via Adaptive Embedding and Ensembling.
CoRR, 2023

Recurrent Spike-based Image Restoration under General Illumination.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

Learning Spectral-wise Correlation for Spectral Super-Resolution: Where Similarity Meets Particularity.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

Mutual-Guided Dynamic Network for Image Fusion.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

2022
High-Accuracy Image Formation Model for Coded Aperture Snapshot Spectral Imaging.
IEEE Trans. Computational Imaging, 2022

Stochastic gate-based autoencoder for unsupervised hyperspectral band selection.
Pattern Recognit., 2022

Coded Hyperspectral Image Reconstruction Using Deep External and Internal Learning.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

Learnability Enhancement for Low-light Raw Denoising: Where Paired Real Data Meets Noise Modeling.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Continuous Spectral Reconstruction from RGB Images via Implicit Neural Representation.
Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

Quantization-aware Deep Optics for Diffractive Snapshot Hyperspectral Imaging.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
Shared Low-Rank Correlation Embedding for Multiple Feature Fusion.
IEEE Trans. Multim., 2021

Sparse additive discriminant canonical correlation analysis for multiple features fusion.
Neurocomputing, 2021

Adaptive Dimension-Discriminative Low-Rank Tensor Recovery for Computational Hyperspectral Imaging.
Int. J. Comput. Vis., 2021

Learning Tensor Low-Rank Prior for Hyperspectral Image Reconstruction.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
Joint low rank embedded multiple features learning for audio-visual emotion recognition.
Neurocomputing, 2020

Embedding shared low-rank and feature correlation for multi-view data analysis.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

Snapshot Hyperspectral Imaging Based on Weighted High-order Singular Value Regularization.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

Structure Preserving Multi-View Dimensionality Reduction.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2020

DNU: Deep Non-Local Unrolling for Computational Spectral Imaging.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
HyperReconNet: Joint Coded Aperture Optimization and Image Reconstruction for Compressive Hyperspectral Imaging.
IEEE Trans. Image Process., 2019

High-Speed Hyperspectral Video Acquisition By Combining Nyquist and Compressive Sampling.
IEEE Trans. Pattern Anal. Mach. Intell., 2019

Computational Spectral-Depth Imaging with a Compact System.
Proceedings of the SIGGRAPH Asia 2019 Posters, 2019

Computational Hyperspectral Imaging Based on Dimension-Discriminative Low-Rank Tensor Recovery.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Hyperspectral Image Reconstruction Using Deep External and Internal Learning.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Hyperspectral Image Reconstruction Using a Deep Spatial-Spectral Prior.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018
Simultaneous Depth and Spectral Imaging With a Cross-Modal Stereo System.
IEEE Trans. Circuits Syst. Video Technol., 2018

GPU Assisted Towards Real-Time Reconstruction for Dual-Camera Compressive Hyperspectral Imaging.
Proceedings of the Advances in Multimedia Information Processing - PCM 2018, 2018

Snapshot Multiplexed Imaging Based on Compressive Sensing.
Proceedings of the Advances in Multimedia Information Processing - PCM 2018, 2018

HSVCNN: CNN-Based Hyperspectral Reconstruction from RGB Videos.
Proceedings of the 2018 IEEE International Conference on Image Processing, 2018


2017
Adaptive Nonlocal Sparse Representation for Dual-Camera Compressive Hyperspectral Imaging.
IEEE Trans. Pattern Anal. Mach. Intell., 2017

HSCNN: CNN-Based Hyperspectral Image Recovery from Spectrally Undersampled Projections.
Proceedings of the 2017 IEEE International Conference on Computer Vision Workshops, 2017

Snapshot Hyperspectral Light Field Imaging.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016
Compressive hyperspectral imaging with complementary RGB measurements.
Proceedings of the 2016 Visual Communications and Image Processing, 2016

Pseudo-sequence-based light field image compression.
Proceedings of the 2016 IEEE International Conference on Multimedia & Expo Workshops, 2016

2015
High-speed hyperspectral video acquisition with a dual-camera architecture.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015


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