Combating Human Trafficking with Deep Multimodal Models

8 May 2017

Papers citing "Combating Human Trafficking with Deep Multimodal Models"

8 / 8 papers shown

Title
IDTraffickers: An Authorship Attribution Dataset to link and connect Potential Human-Trafficking Operations on Text Escort Advertisements V. Saxena Benjamin Bashpole Gijs Van Dijck Gerasimos Spanakis 40 2 0 09 Oct 2023
Multimodal Emotion Recognition with Modality-Pairwise Unsupervised Contrastive Loss Riccardo Franceschini Enrico Fini Cigdem Beyan Alessandro Conti F. Arrigoni Elisa Ricci SSL OffRL 34 16 0 23 Jul 2022
Weakly-supervised Multi-task Learning for Multimodal Affect Recognition Wenliang Dai Samuel Cahyawijaya Yejin Bang Pascale Fung CVBM 36 11 0 23 Apr 2021
Multimodal End-to-End Sparse Model for Emotion Recognition Wenliang Dai Samuel Cahyawijaya Zihan Liu Pascale Fung CVBM 10 79 0 17 Mar 2021
Exploiting Unsupervised Data for Emotion Recognition in Conversations Wenxiang Jiao M. Lyu Irwin King 8 13 0 02 Oct 2020
Linking emotions to behaviors through deep transfer learning Haoqi Li Brian R. Baucom P. Georgiou 11 19 0 08 Oct 2019
TraffickCam: Explainable Image Matching For Sex Trafficking Investigations Abby Stylianou Richard Souvenir Robert Pless 31 6 0 08 Oct 2019
Tensor Fusion Network for Multimodal Sentiment Analysis Amir Zadeh Minghai Chen Soujanya Poria Min Zhang Louis-Philippe Morency 26 1,201 0 23 Jul 2017