Publications (9)
LandmarkGAN: Synthesizing Faces from Landmarks
Pu Sun, Yuezun Li, Honggang Qi +1
Face synthesis is an important problem in computer vision with many applications. In this work, we describe a new method, namely LandmarkGAN, to synthesize faces based on facial la…
Celeb-DF: A Large-scale Challenging Dataset for DeepFake Forensics
Yuezun Li, Xin Yang, Pu Sun +2
AI-synthesized face-swapping videos, commonly known as DeepFakes, is an emerging problem threatening the trustworthiness of online information. The need to develop and evaluate Dee…
Active Fake: DeepFake Camouflage
Pu Sun, Honggang Qi, Yuezun Li
DeepFake technology has gained significant attention due to its ability to manipulate facial attributes with high realism, raising serious societal concerns. Face-Swap DeepFake is…
A Metabolic-Imaging Integrated Model for Prognostic Prediction in Colorectal Liver Metastases
Qinlong Li, Pu Sun, Guanlin Zhu +2
Prognostic evaluation in patients with colorectal liver metastases (CRLM) remains challenging due to suboptimal accuracy of conventional clinical models. This study developed and v…
Data-Centric Learning Framework for Real-Time Detection of Aiming Beam in Fluorescence Lifetime Imaging Guided Surgery
Mohamed Abul Hassan, Pu Sun, Xiangnan Zhou +6
This study introduces a novel data-centric approach to improve real-time surgical guidance using fiber-based fluorescence lifetime imaging (FLIm). A key aspect of the methodology i…
FakeTracer: Catching Face-swap DeepFakes via Implanting Traces in Training
Pu Sun, Honggang Qi, Yuezun Li +1
Face-swap DeepFake is an emerging AI-based face forgery technique that can replace the original face in a video with a generated face of the target identity while retaining consist…
DCAMamba: Mamba-based Rapid Response DC Arc Fault Detection
Lukun Wang, Ruxue Zhao, Wancheng Feng +2
In electrical equipment, even minor contact issues can lead to arc faults. Traditional methods often struggle to balance the accuracy and rapid response required for effective arc…
DeepFake-o-meter: An Open Platform for DeepFake Detection
Yuezun Li, Cong Zhang, Pu Sun +2
In recent years, the advent of deep learning-based techniques and the significant reduction in the cost of computation resulted in the feasibility of creating realistic videos of h…
Landmark Breaker: Obstructing DeepFake By Disturbing Landmark Extraction
Pu Sun, Yuezun Li, Honggang Qi +1
The recent development of Deep Neural Networks (DNN) has significantly increased the realism of AI-synthesized faces, with the most notable examples being the DeepFakes. The DeepFa…