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A reading list for research topics in multimodal deception detection.

Awesome-Multimodal-Deception-Detection

Table of Contents

  • Survey Papers
  • Research Papers
  • Related Research Papers
  • Datasets
  • Tutorials

Survey Papers

Multimodal Machine Learning: A Survey and Taxonomy, TPAMI 2019

Multimodal Intelligence: Representation Learning, Information Fusion, and Applications, arXiv 2019

Deep Multimodal Representation Learning: A Survey, arXiv 2019

Representation Learning: A Review and New Perspectives, TPAMI 2013

Research Papers

Affect-Aware Machine Learning Models for Deception Detection, AAAI 2021

Deception Detection in Group Video Conversations using Dynamic Interaction Networks, ICWSM 2021

Deception Detection in Videos using the Facial Action Coding System, 2021, ArXiv

Deception Detection in Videos Using Robust Facial Features

Event correlation for deception detection in long video ICMV 2021

Vid2Int: Detecting Implicit Intention from Long Dialog Videos, WACV 2021

The Liar's Walk: Detecting Deception with Gait and Gesture, 2021, ArXiv

Multimodal Deception Detection in Videos via Analyzing Emotional State-based Feature, 2021, ArXiv

Multimodal Political Deception Detection, MM 2021

LieNet: A deep convolution neural network framework for detecting deception, TCDS 2021

Introducing representations of facial affect in automated multimodal deception detection, ICMI 2020

Emotion Transformation Feature: Novel Feature For Deception Detection In Videos, ICIP 2020

LieToMe: Preliminary study on hand gestures for deception detection via Fisher-LSTM, PR 2020

Facial Expression Based Imagination Index and a Transfer Learning Approach to Detect Deception, ACII 2019

Face-Focused Cross-Stream Network for Deception Detection in Videos, CVPR 2019

High-Level Features for Multimodal Deception Detection in Videos, CVPRW 2019

Automatic Deception Detection in RGB videos using Facial Action Units, ICDSC 2019

Multimodal information fusion for deception detection in videos

Automatic Long-Term Deception Detection in Group Interaction Videos, ICME 2019

Your Eyes Say You’re Lying: An Eye Movement Pattern Analysis for Face Familiarity and Deceptive Cognition, IJCNN 2019

From Text to Speech: A Multimodal Cross-Domain Approach for Deception Detection, ICPRW 2018

Deception Detection in Videos, AAAI 2018

A Deep Learning Approach for Multimodal Deception Detection

Toward End-to-End Deception Detection in Videos, ICBD 2018

Multimodal deception detection,2018 The Handbook of Multimodal-Multisensor Interfaces

Interpretable Multimodal Deception Detection in Videos, ICMI 2018

Deep learning driven multimodal fusion for automated deception detection, SSCI 2017

Detecting Deceptive Behavior via Integration of Discriminative Features From Multiple Modalities, TIFS 2017

Gender-based multimodal deception detection, SAC 2017

The Truth and Nothing But the Truth: Multimodal Analysis for Deception Detection, ICDMW 2016

Verbal and Nonverbal Clues for Real-life Deception Detection, EMNLP 2015

Deception Detection using Real-life Trial Data, ICMI 2015

Deception detection using a multimodal approach, ICMI 2014

Automatic deception detection in italian court cases, Artificial intelligence and law 2013

Motion Profiles for Deception Detection Using Visual Cues, ECCV 2010

Combining prosodic lexical and cepstral systems for deceptive speech detection, ICASSP 2006

Distinguishing deceptive from non-deceptive speech 2005

Related Research Papers

Openface: A general-purpose face recognition library with mobile applications, Openface Report

wav2vec 2.0: A framework for self-supervised learning of speech representations, NeurIPS 2020

Opensmile: the munich versatile and fast open-source audio feature extractor, ACM MM 2010

Cues to Deception, Psychological bulletin 2003

Detecting deception from emotional and unemotional cues, Journal of Nonverbal Behavior 2009

Datasets

BOL: Bag-of-Lies: A Multimodal Dataset for Deception Detection, CVPRW 2019 data, [download]

Real Life Trial Dataset: Deception Detection using Real-life Trial Data, [download]

MU3D: Miami university deception detection database, [download]

DDPM:Deception detection and remote physiological monitoring: A dataset and baseline experimental results, IJCB 2021, [download]

Tutorials