Publications (16)
IEEE BigData 2023 Keystroke Verification Challenge (KVC)
Giuseppe Stragapede, Ruben Vera-Rodriguez, Ruben Tolosana +26
This paper describes the results of the IEEE BigData 2023 Keystroke Verification Challenge (KVC), that considers the biometric verification performance of Keystroke Dynamics (KD),…
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…
KVC-onGoing: Keystroke Verification Challenge
Giuseppe Stragapede, Ruben Vera-Rodriguez, Ruben Tolosana +27
This article presents the Keystroke Verification Challenge - onGoing (KVC-onGoing), on which researchers can easily benchmark their systems in a common platform using large-scale p…
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…
Contrastive predictive coding for Anomaly Detection in Multi-variate Time Series Data
Theivendiram Pranavan, Terence Sim, Arulmurugan Ambikapathi +1
Anomaly detection in multi-variate time series (MVTS) data is a huge challenge as it requires simultaneous representation of long term temporal dependencies and correlations across…
Multiple-Human Parsing in the Wild
Jianshu Li, Jian Zhao, Yunchao Wei +5
Human parsing is attracting increasing research attention. In this work, we aim to push the frontier of human parsing by introducing the problem of multi-human parsing in the wild.…
Modeling Human Responses to Multimodal AI Content
Zhiqi Shen, Shaojing Fan, Danni Xu +2
As AI-generated content becomes widespread, so does the risk of misinformation. While prior research has primarily focused on identifying whether content is authentic, much less is…
Face Anonymization Made Simple
Han-Wei Kung, Tuomas Varanka, Sanjay Saha +2
Current face anonymization techniques often depend on identity loss calculated by face recognition models, which can be inaccurate and unreliable. Additionally, many methods requir…
Deepfake Synthesis vs. Detection: An Uneven Contest
Md. Tarek Hasan, Sanjay Saha, Shaojing Fan +2
The rapid advancement of deepfake technology has significantly elevated the realism and accessibility of synthetic media. Emerging techniques, such as diffusion-based models and Ne…
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…
Eye-2-I: Eye-tracking for just-in-time implicit user profiling
Keng-Teck Ma, Qianli Xu, Liyuan Li +3
For many applications, such as targeted advertising and content recommendation, knowing users' traits and interests is a prerequisite. User profiling is a helpful approach for this…
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…
E-TIDE: Fast, Structure-Preserving Motion Forecasting from Event Sequences
Biswadeep Sen, Benoit R. Cottereau, Nicolas Cuperlier +1
Event-based cameras capture visual information as asynchronous streams of per-pixel brightness changes, generating sparse, temporally precise data. Compared to conventional frame-b…
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…
NullFace: Training-Free Localized Face Anonymization
Han-Wei Kung, Tuomas Varanka, Terence Sim +1
Privacy concerns around ever increasing number of cameras are increasing in today's digital age. Although existing anonymization methods are able to obscure identity information, t…
Seeing Through Deepfakes: A Human-Inspired Framework for Multi-Face Detection
Juan Hu, Shaojing Fan, Terence Sim
Multi-face deepfake videos are becoming increasingly prevalent, often appearing in natural social settings that challenge existing detection methods. Most current approaches excel…