Unofficial Implementation: Learning Self-Consistency for Deepfake Detection

Official implementation of paper "Query2Label: A Simple Transformer Way to Multi-Label Classification".

In Ictu Oculi: Exposing AI Created Fake Videos by Detecting Eye Blinking

[Official] Exploring Temporal Coherence for More General Video Face Forgery Detection(ICCV 2021)

Code for Video Deepfake Detection model from "Combining EfficientNet and Vision Transformers for Video Deepfake Detection" available on Arxiv and was submitted to ICIAP 2021.

Pytorch implementation of Thinking in frequency: Face forgery detection by mining frequency-aware clues (ECCV2020)

OpenFace – a state-of-the art tool intended for facial landmark detection, head pose estimation, facial action unit recognition, and eye-gaze estimation.

End-to-end Heart Rate Estimation from Face via Spatial-temporal Representation. A replication of the RhythmNet model.

Official implementation of CrossViT. https://arxiv.org/abs/2103.14899

Lips Don't Lie: A Generalisable and Robust Approach to Face Forgery Detection (CVPR 2021)

[ACM Multimedia 2021] Spatiotemporal Inconsistency Learning for DeepFake Video Detection

The code of multi-attention deepfake detection

Code for our paper "Efficient Speech Emotion Recognition Using Multi-Scale CNN and Attention" (ICASSP 2021, co-first authorship)

Pytorch implementation of F3Net (ECCV 2020 F3Net: Frequency in Face Forgery Network)

A collection of awesome things about mixed sample data augmentation

Main code of "Remote Heart Rate Measurement from Highly Compressed Facial Videos: an End-to-end Deep Learning Solution with Video Enhancement"

人脸检测MTCNN算法，采用tensorflow框架编写，从理解到训练，中文注释完全，含测试和训练，支持摄像头