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20202026
most citedDeepfakeBench: A Comprehensive Benchmark of Deepfake Detection

20 citations · 179 across the 97 of their papers we have counts for

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Showing 2022Show all

14 papers · 1 filter

cs.CV2022★ 1 cited

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…

cs.CV2022★ 1 cited

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…

cs.CV2022★ 1 cited

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…

cs.RO2022★ 1 cited

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…

cs.CV2022

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…

cs.LG2022★ 3 cited

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…