2 citations · 3 across the 8 of their papers we have counts for
10 papers
Binarized High-Efficiency RAW Video Restoration and Beyond
Tianyu Zhu, Ying Fu, Hesong Li +3
RAW video restoration is fundamental to high-quality low-level perception and serves as the basis for a wide range of downstream vision applications. While binary neural networks (…
NanoMorph-3D: An End-to-End Physics-Driven Unrolling Framework for Nanomaterial Reconstruction
Beiyuan Zhang, Hesong Li, Ziqi Wu +2
Precise 3D characterization of nanomaterials is essential for unlocking structure-property relationships. However, standard electron tomography is fundamentally limited by the miss…
Boosting Text-Driven Video Segmentation via Geometry-Aware Distillation
Tianyu Zhu, Yingping Liang, Hesong Li +1
Text-driven Referring Video Object Segmentation (RVOS) aims to locate and segment target objects in videos given natural language. However, existing models are typically trained on…
3D Gaussian Splatting for Annular Dark Field Scanning Transmission Electron Microscopy Tomography Reconstruction
Beiyuan Zhang, Hesong Li, Ruiwen Shao +1
Analytical Dark Field Scanning Transmission Electron Microscopy (ADF-STEM) tomography reconstructs nanoscale materials in 3D by integrating multi-view tilt-series images, enabling…
Statistical Characteristic-Guided Denoising for Rapid High-Resolution Transmission Electron Microscopy Imaging
Hesong Li, Ziqi Wu, Ruiwen Shao +1
High-Resolution Transmission Electron Microscopy (HRTEM) enables atomic-scale observation of nucleation dynamics, which boosts the studies of advanced solid materials. Nonetheless,…
ERIENet: An Efficient RAW Image Enhancement Network under Low-Light Environment
Jianan Wang, Yang Hong, Hesong Li +3
RAW images have shown superior performance than sRGB images in many image processing tasks, especially for low-light image enhancement. However, most existing methods for RAW-based…
Noise Calibration and Spatial-Frequency Interactive Network for STEM Image Enhancement
Hesong Li, Ziqi Wu, Ruiwen Shao +2
Scanning Transmission Electron Microscopy (STEM) enables the observation of atomic arrangements at sub-angstrom resolution, allowing for atomically resolved analysis of the physica…
Mono2Stereo: Monocular Knowledge Transfer for Enhanced Stereo Matching
Yuran Wang, Yingping Liang, Hesong Li +1
The generalization and performance of stereo matching networks are limited due to the domain gap of the existing synthetic datasets and the sparseness of GT labels in the real data…
MobileIQA: Exploiting Mobile-level Diverse Opinion Network For No-Reference Image Quality Assessment Using Knowledge Distillation
Zewen Chen, Sunhan Xu, Yun Zeng +8
With the rising demand for high-resolution (HR) images, No-Reference Image Quality Assessment (NR-IQA) gains more attention, as it can ecaluate image quality in real-time on mobile…
FCDFusion: a Fast, Low Color Deviation Method for Fusing Visible and Infrared Image Pairs
Hesong Li, Ying Fu
Visible and infrared image fusion (VIF) aims to combine information from visible and infrared images into a single fused image. Previous VIF methods usually employ a color space tr…