Unit
Ebrahimi Group
GroupRelated publications (1,000)
Towards learning-based image compression for storage on DNA support
Touradj Ebrahimi, Michela Testolina
The demand for data storage has grown exponentially over the past decades. Current archival solutions have significant shortcomings, such as high resource requirements and a lack of sufficient longevity. In contrast, research on DNA-based storage has been ...
2023Referencing in YouTube Knowledge Communication Videos
Daniel Gatica-Perez, Haeeun Kim
In recent years, there has been widespread concern about misinformation and hateful content on social media that are damaging societies. Being one of the most influential social media that practically serves as a newsearch engine, YouTube has accepted crit ...
New York2023Towards Visual Saliency Explanations of Face Verification
Touradj Ebrahimi, Yuhang Lu, Zewei Xu
In the past years, deep convolutional neural networks have been pushing the frontier of face recognition (FR) techniques in both verification and identification scenarios. Despite the high accuracy, they are often criticized for lacking explainability. The ...
2023Evaluation of the impact of lossy compression on event camera-based computer vision tasks
Touradj Ebrahimi, Davi Nachtigall Lazzarotto, Bowen Huang
In the field of image acquisition, Dynamic Vision Sensors (DVS) present an innovative methodology, capturing only the variations in pixel brightness instead of absolute values and thereby revealing unique features. Given that the primary deployment of DVS ...
2023Cross-resolution Face Recognition via Identity-Preserving Network and Knowledge Distillation
Cross-resolution face recognition has become a challenging problem for modern deep face recognition systems. It aims at matching a low-resolution probe image with high-resolution gallery images registered in a database. Existing methods mainly leverage pri ...
2023Recognizing distant faces
Lukas Vogelsang, Marin Vogelsang
As an 'early alerting' sense, one of the primary tasks for the human visual system is to recognize distant objects. In the specific context of facial identification, this ecologically important task has received surprisingly little attention. Most studies ...
PERGAMON-ELSEVIER SCIENCE LTD2023Discriminative Deep Feature Visualization for Explainable Face Recognition
Touradj Ebrahimi, Yuhang Lu, Zewei Xu
Despite the huge success of deep convolutional neural networks in face recognition (FR) tasks, current methods lack explainability for their predictions because of their ``black-box'' nature. In recent years, studies have been carried out to give an interp ...
2023A multimodal measurement of the impact of deepfakes on the ethical reasoning and affective reactions of students
Touradj Ebrahimi, Patrick Jermann, Roland John Tormey, Cécile Hardebolle, Vivek Ramachandran, Nihat Kotluk
Deepfakes - synthetic videos generated by machine learning models - are becoming increasingly sophisticated. While they have several positive use cases, their potential for harm is also high. Deepfake production involves input from multiple engineers, maki ...
2023Using raytraverse to render high accuracy images
Raytraverse is a python based software that helps to efficiently organize and guide the sampling of a lighting simulation within a scene. Radiance is embedded within Raytraverse to provide accurate and efficient solutions for each sampled ray. This talk wi ...
2023Explanation of Face Recognition via Saliency Maps
Despite the significant progress in recent years, deep face recognition is often treated as a "black box" and has been criticized for lacking explainability. It becomes increasingly important to understand the characteristics and decisions of deep face rec ...
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