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20192026
most citedReconstruct Face from Features Using GAN Generator as a Distribution Constraint

8 citations · 26 across the 20 of their papers we have counts for

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12 papers · 1 filter

cs.CV2026

EventFace: Event-Based Face Recognition via Structure-Driven Spatiotemporal Modeling

Qingguo Meng, Xingbo Dong, Zhe Jin +1

Event cameras offer a promising sensing modality for face recognition due to their inherent advantages in illumination robustness and privacy-friendliness. However, because event s…

cs.CV2025

Auto-US: An Ultrasound Video Diagnosis Agent Using Video Classification Framework and LLMs

Yuezhe Yang, Yiyue Guo, Wenjie Cai +5

AI-assisted ultrasound video diagnosis presents new opportunities to enhance the efficiency and accuracy of medical imaging analysis. However, existing research remains limited in…

cs.CV2025

UltraGS: Real-Time Physically-Decoupled Gaussian Splatting for Ultrasound Novel View Synthesis

Yuezhe Yang, Qingqing Ruan, Wenjie Cai +5

Ultrasound imaging is a cornerstone of non-invasive clinical diagnostics, yet its limited field of view poses challenges for novel view synthesis. We present UltraGS, a real-time f…

cs.CV2025

Representation Paradigms in AI-based 3D Radiological Image Reconstruction: A Systematic Review

Yuezhe Yang, Lei Bi, Boyu Yang +6

The demand for high-quality medical imaging in clinical practice and assisted diagnosis has made 3D image reconstruction in radiological imaging a key research focus. Artificial in…

cs.CV2025

Test-Time Domain Generalization via Universe Learning: A Multi-Graph Matching Approach for Medical Image Segmentation

Xingguo Lv, Xingbo Dong, Liwen Wang +5

Despite domain generalization (DG) has significantly addressed the performance degradation of pre-trained models caused by domain shifts, it often falls short in real-world deploym…

cs.CV2024

Face Reconstruction Transfer Attack as Out-of-Distribution Generalization

Yoon Gyo Jung, Jaewoo Park, Xingbo Dong +3

Understanding the vulnerability of face recognition systems to malicious attacks is of critical importance. Previous works have focused on reconstructing face images that can penet…

cs.CV2024★ 7 cited

IFViT: Interpretable Fixed-Length Representation for Fingerprint Matching via Vision Transformer

Yuhang Qiu, Honghui Chen, Xingbo Dong +4

Determining dense feature points on fingerprints used in constructing deep fixed-length representations for accurate matching, particularly at the pixel level, is of significant in…

cs.CV2022★ 8 cited

Reconstruct Face from Features Using GAN Generator as a Distribution Constraint

Xingbo Dong, Zhihui Miao, Lan Ma +4

Face recognition based on the deep convolutional neural networks (CNN) shows superior accuracy performance attributed to the high discriminative features extracted. Yet, the securi…

cs.CV2022★ 4 cited

A Generalized Approach for Cancellable Template and Its Realization for Minutia Cylinder-Code

Xingbo Dong, Zhe Jin, KokSheik Wong

Hashing technology gains much attention in protecting the biometric template lately. For instance, Index-of-Max (IoM), a recent reported hashing technique, is a ranking-based local…

cs.CV2020

Multi-spectral Facial Landmark Detection

Jin Keong, Xingbo Dong, Zhe Jin +2

Thermal face image analysis is favorable for certain circumstances. For example, illumination-sensitive applications, like nighttime surveillance; and privacy-preserving demanded a…

cs.CV2019★ 4 cited

On the Risk of Cancelable Biometrics

Xingbo Dong, Jaewoo Park, Zhe Jin +3

Cancelable biometrics (CB) employs an irreversible transformation to convert the biometric features into transformed templates while preserving the relative distance between two te…

cs.CV2019★ 3 cited

A Genetic Algorithm Enabled Similarity-Based Attack on Cancellable Biometrics

Xingbo Dong, Zhe Jin, Andrew Teoh Beng Jin

Cancellable biometrics (CB) as a means for biometric template protection approach refers to an irreversible yet similarity preserving transformation on the original template. With…