4 citations · 8 across the 4 of their papers we have counts for
5 papers
Undercover Deepfakes: Detecting Fake Segments in Videos
Sanjay Saha, Rashindrie Perera, Sachith Seneviratne +5
The recent renaissance in generative models, driven primarily by the advent of diffusion models and iterative improvement in GAN methods, has enabled many creative applications. Ho…
Is Face Recognition Safe from Realizable Attacks?
Sanjay Saha, Terence Sim
Face recognition is a popular form of biometric authentication and due to its widespread use, attacks have become more common as well. Recent studies show that Face Recognition Sys…
Understanding Humans in Crowded Scenes: Deep Nested Adversarial Learning and A New Benchmark for Multi-Human Parsing
Jian Zhao, Jianshu Li, Yu Cheng +4
Despite the noticeable progress in perceptual tasks like detection, instance segmentation and human parsing, computers still perform unsatisfactorily on visually understanding huma…
Integrated Face Analytics Networks through Cross-Dataset Hybrid Training
Jianshu Li, Shengtao Xiao, Fang Zhao +5
Face analytics benefits many multimedia applications. It consists of a number of tasks, such as facial emotion recognition and face parsing, and most existing approaches generally…
Correlation Filters with Limited Boundaries
Hamed Kiani Galoogahi, Terence Sim, Simon Lucey
Correlation filters take advantage of specific properties in the Fourier domain allowing them to be estimated efficiently: O(NDlogD) in the frequency domain, versus O(D^3 + ND^2) s…