Hua Huang

About Hua Huang

Hua Huang, With an exceptional h-index of 38 and a recent h-index of 31 (since 2020), a distinguished researcher at Beijing Institute of Technology, specializes in the field of Visual Computing, Computer Graphics, Computational Photography.

His recent articles reflect a diverse array of research interests and contributions to the field:

Sc-neus: Consistent neural surface reconstruction from sparse and noisy views

SpikeNeRF: Learning Neural Radiance Fields from Continuous Spike Stream

Thermal Radiation Bias Correction for Infrared Images Using Huber Function based Loss

Physics-Inspired Degradation Models for Hyperspectral Image Fusion

CMMU: A Benchmark for Chinese Multi-modal Multi-type Question Understanding and Reasoning

Learning a physics-based filter attachment for hyperspectral imaging with RGB cameras

A Systematic Literature Survey of Sparse Matrix-Vector Multiplication

Finding Visual Saliency in Continuous Spike Stream

Hua Huang Information

University

Position

___

Citations(all)

5658

Citations(since 2020)

3875

Cited By

2895

hIndex(all)

38

hIndex(since 2020)

31

i10Index(all)

84

i10Index(since 2020)

63

Email

University Profile Page

Google Scholar

Hua Huang Skills & Research Interests

Visual Computing

Computer Graphics

Computational Photography

Top articles of Hua Huang

Sc-neus: Consistent neural surface reconstruction from sparse and noisy views

Proceedings of the AAAI Conference on Artificial Intelligence

2024/3/24

SpikeNeRF: Learning Neural Radiance Fields from Continuous Spike Stream

arXiv preprint arXiv:2403.11222

2024/3/17

Thermal Radiation Bias Correction for Infrared Images Using Huber Function based Loss

IEEE Transactions on Geoscience and Remote Sensing

2024/2/28

Physics-Inspired Degradation Models for Hyperspectral Image Fusion

arXiv preprint arXiv:2402.02411

2024/2/4

CMMU: A Benchmark for Chinese Multi-modal Multi-type Question Understanding and Reasoning

arXiv preprint arXiv:2401.14011

2024/1/25

Learning a physics-based filter attachment for hyperspectral imaging with RGB cameras

Neurocomputing

2024/5/1

A Systematic Literature Survey of Sparse Matrix-Vector Multiplication

2024/4/9

Finding Visual Saliency in Continuous Spike Stream

Proceedings of the AAAI Conference on Artificial Intelligence

2024/3/24

In2SET: Intra-Inter Similarity Exploiting Transformer for Dual-Camera Compressive Hyperspectral Imaging

arXiv preprint arXiv:2312.13319

2023/12/20

Sub-pixel Dispersion Model for Coded Aperture Snapshot Spectral Imaging

IEEE Transactions on Computational Imaging

2023/12/5

Dynamic View Synthesis with Spatio-Temporal Feature Warping from Sparse Views

2023/10/26

Learning Spectral-wise Correlation for Spectral Super-Resolution: Where Similarity Meets Particularity

2023/10/26

Recurrent Spike-based Image Restoration under General Illumination

Proceedings of the 31st ACM International Conference on Multimedia

2023/8/6

Learnability enhancement for low-light raw image denoising: A data perspective

IEEE Transactions on Pattern Analysis and Machine Intelligence

2023/8/3

Stimulating the Diffusion Model for Image Denoising via Adaptive Embedding and Ensembling

arXiv preprint arXiv:2307.03992

2023/7/8

Revisiting unsupervised local descriptor learning

Proceedings of the AAAI Conference on Artificial Intelligence

2023/6/26

Universal Demosaicking for Interpolation-Friendly RGBW Color Filter Arrays

IEEE Transactions on Image Processing

2023/6/19

An efficient fine-grained vehicle recognition method based on part-level feature optimization

Neurocomputing

2023/6/1

Fixed pattern noise removal based on a semi-calibration method

IEEE Transactions on Pattern Analysis and Machine Intelligence

2023/5/10

Multi-modal feature pyramid transformer for rgb-infrared object detection

IEEE Transactions on Intelligent Transportation Systems

2023/4/19

See List of Professors in Hua Huang University(Beijing Institute of Technology)