activity
20152026
most citedADMM-Net: A Deep Learning Approach for Compressive Sensing MRI

92 citations · 150 across the 10 of their papers we have counts for

collaborators

10 papers

cs.CV2026

HazeSpikeMamba: Coupling Spiking-Inspired and State-Space Features for Self-Supervised Real-World Dehazing

Haoran Liu, Huibin Li, Mingzhe Liu +2

Dehazing networks are commonly trained on synthetic hazy-clear pairs, but their performance often drops on real photographs. Synthetic haze generated using the atmospheric scatteri…

cs.CV2026

Structured-Li-GS: Structured 3D Gaussians Splatting with LiDAR Incorporation and Spatial Constraints

Huaiyuan Weng, Huibin Li, Chul Min Yeum

In this study, we develop a Structured framework for Gaussian Splatting (3DGS) with LiDAR integration (Structured-Li-GS). It is a lightweight Gaussian Splatting pipeline that lever…

cs.CV2025★ 2 cited

U-Net-Like Spiking Neural Networks for Single Image Dehazing

Huibin Li, Haoran Liu, Mingzhe Liu +3

Image dehazing is a critical challenge in computer vision, essential for enhancing image clarity in hazy conditions. Traditional methods often rely on atmospheric scattering models…

cs.CV2023

Towards High-Fidelity Text-Guided 3D Face Generation and Manipulation Using only Images

Cuican Yu, Guansong Lu, Yihan Zeng +7

Generating 3D faces from textual descriptions has a multitude of applications, such as gaming, movie, and robotics. Recent progresses have demonstrated the success of unconditional…

cs.CV2020

Reconstructing A Large Scale 3D Face Dataset for Deep 3D Face Identification

Cuican Yu, Zihui Zhang, Huibin Li

Deep learning methods have brought many breakthroughs to computer vision, especially in 2D face recognition. However, the bottleneck of deep learning based 3D face recognition is t…

cs.CV2018

Learning Spectral Transform Network on 3D Surface for Non-rigid Shape Analysis

Ruixuan Yu, Jian Sun, Huibin Li

Designing a network on 3D surface for non-rigid shape analysis is a challenging task. In this work, we propose a novel spectral transform network on 3D surface to learn shape descr…

cs.CV2018★ 5 cited

Accurate Facial Parts Localization and Deep Learning for 3D Facial Expression Recognition

Asim Jan, Huaxiong Ding, Hongying Meng +2

Meaningful facial parts can convey key cues for both facial action unit detection and expression prediction. Textured 3D face scan can provide both detailed 3D geometric shape and…

cs.CV2017★ 39 cited

Neural Multi-Atlas Label Fusion: Application to Cardiac MR Images

Heran Yang, Jian Sun, Huibin Li +2

Multi-atlas segmentation approach is one of the most widely-used image segmentation techniques in biomedical applications. There are two major challenges in this category of method…

cs.CV2017★ 92 cited

ADMM-Net: A Deep Learning Approach for Compressive Sensing MRI

Yan Yang, Jian Sun, Huibin Li +1

Compressive sensing (CS) is an effective approach for fast Magnetic Resonance Imaging (MRI). It aims at reconstructing MR images from a small number of under-sampled data in k-spac…

cs.CV2015★ 12 cited

Deep Representation of Facial Geometric and Photometric Attributes for Automatic 3D Facial Expression Recognition

Huibin Li, Jian Sun, Dong Wang +2

In this paper, we present a novel approach to automatic 3D Facial Expression Recognition (FER) based on deep representation of facial 3D geometric and 2D photometric attributes. A…