5 citations · 12 across the 8 of their papers we have counts for
8 papers
Improving Novel view synthesis of 360 Scenes in Extremely Sparse Views by Jointly Training Hemisphere Sampled Synthetic Images
Guangan Chen, Anh Minh Truong, Hanhe Lin +3
Novel view synthesis in 360 scenes from extremely sparse input views is essential for applications like virtual reality and augmented reality. This paper presents a novel f…
Clinical Validation of Deep Learning for Real-Time Tissue Oxygenation Estimation Using Spectral Imaging
Jens De Winne, Siri Willems, Siri Luthman +3
Accurate, real-time monitoring of tissue ischemia is crucial to understand tissue health and guide surgery. Spectral imaging shows great potential for contactless and intraoperativ…
Development of Ultra-Portable 3D Mapping Systems for Emergency Services
Charles Hamesse, Timothée Fréville, Juha Saarinen +3
Miniaturization of cameras and LiDAR sensors has enabled the development of wearable 3D mapping systems for emergency responders. These systems have the potential to revolutionize…
Degradation-Noise-Aware Deep Unfolding Transformer for Hyperspectral Image Denoising
Haijin Zeng, Jiezhang Cao, Kai Feng +4
Hyperspectral imaging (HI) has emerged as a powerful tool in diverse fields such as medical diagnosis, industrial inspection, and agriculture, owing to its ability to detect subtle…
Inheriting Bayer's Legacy-Joint Remosaicing and Denoising for Quad Bayer Image Sensor
Haijin Zeng, Kai Feng, Jiezhang Cao +5
Pixel binning based Quad sensors have emerged as a promising solution to overcome the hardware limitations of compact cameras in low-light imaging. However, binning results in lowe…
MSFA-Frequency-Aware Transformer for Hyperspectral Images Demosaicing
Haijin Zeng, Kai Feng, Shaoguang Huang +5
Hyperspectral imaging systems that use multispectral filter arrays (MSFA) capture only one spectral component in each pixel. Hyperspectral demosaicing is used to recover the non-me…
Low-rank Meets Sparseness: An Integrated Spatial-Spectral Total Variation Approach to Hyperspectral Denoising
Haijin Zeng, Shaoguang Huang, Yongyong Chen +2
Spatial-Spectral Total Variation (SSTV) can quantify local smoothness of image structures, so it is widely used in hyperspectral image (HSI) processing tasks. Essentially, SSTV ass…
Bayesian Deconvolution of Scanning Electron Microscopy Images Using Point-spread Function Estimation and Non-local Regularization
Joris Roels, Jan Aelterman, Jonas De Vylder +3
Microscopy is one of the most essential imaging techniques in life sciences. High-quality images are required in order to solve (potentially life-saving) biomedical research proble…