Search Results for author: Kartik Narayan

Found 4 papers, 1 papers with code

Hyp-OC: Hyperbolic One Class Classification for Face Anti-Spoofing

no code implementations22 Apr 2024 Kartik Narayan, Vishal M. Patel

Most prior research in face anti-spoofing (FAS) approaches it as a two-class classification task where models are trained on real samples and known spoof attacks and tested for detection performance on unknown spoof attacks.

Face Anti-Spoofing Face Recognition +1

FaceXFormer: A Unified Transformer for Facial Analysis

2 code implementations19 Mar 2024 Kartik Narayan, Vibashan VS, Rama Chellappa, Vishal M. Patel

Unlike these conventional methods, our FaceXformer leverages a transformer-based encoder-decoder architecture where each task is treated as a learnable token, enabling the integration of multiple tasks within a single framework.

Age and Gender Estimation Age Estimation +5

DF-Platter: Multi-Face Heterogeneous Deepfake Dataset

no code implementations the IEEE/CVF Conference on Computer Vision and Pattern Recognition 2023 Kartik Narayan, Harsh Agarwal, Kartik Thakral, Surbhi Mittal, Mayank Vatsa, Richa Singh

In this research, we emulate the real-world scenario of deepfake generation and spreading, and propose the DF-Platter dataset, which contains (i) both low-resolution and high-resolution deepfakes generated using multiple generation techniques and (ii) single-subject and multiple-subject deepfakes, with face images of Indian ethnicity.

DeepFake Detection Face Swapping

DeePhy: On Deepfake Phylogeny

no code implementations19 Sep 2022 Kartik Narayan, Harsh Agarwal, Kartik Thakral, Surbhi Mittal, Mayank Vatsa, Richa Singh

In order to enable the research community to address these questions, this paper proposes DeePhy, a novel Deepfake Phylogeny dataset which consists of 5040 deepfake videos generated using three different generation techniques.

DeepFake Detection Face Swapping

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