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20202026
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cs.CV2026

Explainable Deepfake Detection Challenge

Abhijeet Narang, Kartik Kuckreja, Shreya Ghosh +4

Deepfake detection is moving beyond binary classification decisions toward systems that can also explain the visual evidence supporting those decisions. This transition is importan…

cs.CV2025

AV-Deepfake1M++: A Large-Scale Audio-Visual Deepfake Benchmark with Real-World Perturbations

Zhixi Cai, Kartik Kuckreja, Shreya Ghosh +5

The rapid surge of text-to-speech and face-voice reenactment models makes video fabrication easier and highly realistic. To encounter this problem, we require datasets that rich in…

cs.CV2024

1M-Deepfakes Detection Challenge

Zhixi Cai, Abhinav Dhall, Shreya Ghosh +4

The detection and localization of deepfake content, particularly when small fake segments are seamlessly mixed with real videos, remains a significant challenge in the field of dig…

cs.CV2024

Real, fake and synthetic faces -- does the coin have three sides?

Shahzeb Naeem, Ramzi Al-Sharawi, Muhammad Riyyan Khan +3

With the ever-growing power of generative artificial intelligence, deepfake and artificially generated (synthetic) media have continued to spread online, which creates various ethi…

cs.CV2024

Generation and Detection of Sign Language Deepfakes - A Linguistic and Visual Analysis

Shahzeb Naeem, Muhammad Riyyan Khan, Usman Tariq +3

This research explores the positive application of deepfake technology for upper body generation, specifically sign language for the Deaf and Hard of Hearing (DHoH) community. Give…

cs.CV2021

Self-Supervised Approach for Facial Movement Based Optical Flow

Muhannad Alkaddour, Usman Tariq, Abhinav Dhall

Computing optical flow is a fundamental problem in computer vision. However, deep learning-based optical flow techniques do not perform well for non-rigid movements such as those f…