20 citations · 179 across the 97 of their papers we have counts for
14 papers · 1 filter
GLFF: Global and Local Feature Fusion for AI-synthesized Image Detection
Yan Ju, Shan Jia, Jialing Cai +2
With the rapid development of deep generative models (such as Generative Adversarial Networks and Diffusion models), AI-synthesized images are now of such high quality that humans…
Fusion-based Few-Shot Morphing Attack Detection and Fingerprinting
Na Zhang, Shan Jia, Siwei Lyu +1
The vulnerability of face recognition systems to morphing attacks has posed a serious security threat due to the wide adoption of face biometrics in the real world. Most existing m…
Detection of Real-time DeepFakes in Video Conferencing with Active Probing and Corneal Reflection
Hui Guo, Xin Wang, Siwei Lyu
The COVID pandemic has led to the wide adoption of online video calls in recent years. However, the increasing reliance on video calls provides opportunities for new impersonation…
RMBench: Benchmarking Deep Reinforcement Learning for Robotic Manipulator Control
Yanfei Xiang, Xin Wang, Shu Hu +4
Reinforcement learning is applied to solve actual complex tasks from high-dimensional, sensory inputs. The last decade has developed a long list of reinforcement learning algorithm…
Uncertainty Aware Multitask Pyramid Vision Transformer For UAV-Based Object Re-Identification
Syeda Nyma Ferdous, Xin Li, Siwei Lyu
Object Re-IDentification (ReID), one of the most significant problems in biometrics and surveillance systems, has been extensively studied by image processing and computer vision c…
Rank-based Decomposable Losses in Machine Learning: A Survey
Shu Hu, Xin Wang, Siwei Lyu
Recent works have revealed an essential paradigm in designing loss functions that differentiate individual losses vs. aggregate losses. The individual loss measures the quality of…