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20172022
most citedUse of a Capsule Network to Detect Fake Images and Videos

132 citations · 196 across the 20 of their papers we have counts for

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Showing 2018Show all

12 papers · 1 filter

cs.CL20184 cited

Identifying Computer-Translated Paragraphs using Coherence Features

Hoang-Quoc Nguyen-Son, Ngoc-Dung T. Tieu, Huy H. Nguyen +2

We have developed a method for extracting the coherence features from a paragraph by matching similar words in its sentences. We conducted an experiment with a parallel German corp…

eess.AS2018

Audiovisual speaker conversion: jointly and simultaneously transforming facial expression and acoustic characteristics

Fuming Fang, Xin Wang, Junichi Yamagishi +1

An audiovisual speaker conversion method is presented for simultaneously transforming the facial expressions and voice of a source speaker into those of a target speaker. Transform…

cs.CV2018

Capsule-Forensics: Using Capsule Networks to Detect Forged Images and Videos

Huy H. Nguyen, Junichi Yamagishi, Isao Echizen

Recent advances in media generation techniques have made it easier for attackers to create forged images and videos. State-of-the-art methods enable the real-time creation of a for…

cs.IT2018

A framework for generalized group testing with inhibitors and its potential application in neuroscience

Thach V. Bui, Minoru Kuribayashi, Mahdi Cheraghchi +1

The main goal of group testing with inhibitors (GTI) is to efficiently identify a small number of defective items and inhibitor items in a large set of items. A test on a subset of…

cs.SD2018

Transforming acoustic characteristics to deceive playback spoofing countermeasures of speaker verification systems

Fuming Fang, Junichi Yamagishi, Isao Echizen +2

Automatic speaker verification (ASV) systems use a playback detector to filter out playback attacks and ensure verification reliability. Since current playback detection models are…

cs.CV2018

MesoNet: a Compact Facial Video Forgery Detection Network

Darius Afchar, Vincent Nozick, Junichi Yamagishi +1

This paper presents a method to automatically and efficiently detect face tampering in videos, and particularly focuses on two recent techniques used to generate hyper-realistic fo…