34 citations · 44 across the 7 of their papers we have counts for
9 papers
REHRSeg: Unleashing the Power of Self-Supervised Super-Resolution for Resource-Efficient 3D MRI Segmentation
Zhiyun Song, Yinjie Zhao, Xiaomin Li +9
High-resolution (HR) 3D magnetic resonance imaging (MRI) can provide detailed anatomical structural information, enabling precise segmentation of regions of interest for various me…
Iris Presentation Attack: Assessing the Impact of Combining Vanadium Dioxide Films with Artificial Eyes
Darshika Jauhari, Renu Sharma, Cunjian Chen +2
Iris recognition systems, operating in the near infrared spectrum (NIR), have demonstrated vulnerability to presentation attacks, where an adversary uses artifacts such as cosmetic…
LAVIE: High-Quality Video Generation with Cascaded Latent Diffusion Models
Yaohui Wang, Xinyuan Chen, Xin Ma +17
This work aims to learn a high-quality text-to-video (T2V) generative model by leveraging a pre-trained text-to-image (T2I) model as a basis. It is a highly desirable yet challengi…
Similarity-based Gray-box Adversarial Attack Against Deep Face Recognition
Hanrui Wang, Shuo Wang, Zhe Jin +3
The majority of adversarial attack techniques perform well against deep face recognition when the full knowledge of the system is revealed (\emph{white-box}). However, such techniq…
Beyond the Visible: A Survey on Cross-spectral Face Recognition
David Anghelone, Cunjian Chen, Arun Ross +1
Cross-spectral face recognition (CFR) refers to recognizing individuals using face images stemming from different spectral bands, such as infrared versus visible. While CFR is inhe…
Attention-Guided Network for Iris Presentation Attack Detection
Cunjian Chen, Arun Ross
Convolutional Neural Networks (CNNs) are being increasingly used to address the problem of iris presentation attack detection. In this work, we propose attention-guided iris presen…
Iris Liveness Detection Competition (LivDet-Iris) -- The 2020 Edition
Priyanka Das, Joseph McGrath, Zhaoyuan Fang +20
Launched in 2013, LivDet-Iris is an international competition series open to academia and industry with the aim to assess and report advances in iris Presentation Attack Detection…
Some Research Problems in Biometrics: The Future Beckons
Arun Ross, Sudipta Banerjee, Cunjian Chen +5
The need for reliably determining the identity of a person is critical in a number of different domains ranging from personal smartphones to border security; from autonomous vehicl…
Matching Thermal to Visible Face Images Using a Semantic-Guided Generative Adversarial Network
Cunjian Chen, Arun Ross
Designing face recognition systems that are capable of matching face images obtained in the thermal spectrum with those obtained in the visible spectrum is a challenging problem. I…