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Multiscale Adaptive Conflict-Balancing Model For Multimedia Deepfake Detection

Multiscale Adaptive Conflict-Balancing Model For Multimedia Deepfake Detection

International Conference on Multimedia Retrieval (ICMR), 2025
19 May 2025
Zihan Xiong
Xiaohua Wu
Lei Chen
Fangqi Lou
ArXiv (abs)PDFHTML

Papers citing "Multiscale Adaptive Conflict-Balancing Model For Multimedia Deepfake Detection"

17 / 17 papers shown
Do we really have to filter out random noise in pre-training data for language models?
Do we really have to filter out random noise in pre-training data for language models?
Jinghan Ru
Yuxin Xie
Xianwei Zhuang
Yuguo Yin
Zhihui Guo
Zhiming Liu
Qianli Ren
Yuexian Zou
438
9
0
10 Feb 2025
Imbalanced Open Set Domain Adaptation via Moving-threshold Estimation
  and Gradual Alignment
Imbalanced Open Set Domain Adaptation via Moving-threshold Estimation and Gradual AlignmentIEEE transactions on multimedia (IEEE TMM), 2023
Jinghan Ru
Jun Tian
Zhekai Du
Chengwei Xiao
Jingjing Li
Mengqi Li
265
25
0
08 Mar 2023
FastDiff: A Fast Conditional Diffusion Model for High-Quality Speech
  Synthesis
FastDiff: A Fast Conditional Diffusion Model for High-Quality Speech SynthesisInternational Joint Conference on Artificial Intelligence (IJCAI), 2022
Rongjie Huang
Max W. Y. Lam
Jun Wang
Jane Polak Scowcroft
Dong Yu
Yi Ren
Zhou Zhao
DiffM
149
208
0
21 Apr 2022
Balanced Multimodal Learning via On-the-fly Gradient Modulation
Balanced Multimodal Learning via On-the-fly Gradient ModulationComputer Vision and Pattern Recognition (CVPR), 2022
Xiaokang Peng
Yake Wei
Andong Deng
Dong Wang
Di Hu
301
337
0
29 Mar 2022
Self-supervised Learning of Adversarial Example: Towards Good
  Generalizations for Deepfake Detection
Self-supervised Learning of Adversarial Example: Towards Good Generalizations for Deepfake DetectionComputer Vision and Pattern Recognition (CVPR), 2022
Liang Chen
Yong Zhang
Yibing Song
Lingqiao Liu
Jue Wang
AAML
294
266
0
23 Mar 2022
Exploiting Fine-grained Face Forgery Clues via Progressive Enhancement
  Learning
Exploiting Fine-grained Face Forgery Clues via Progressive Enhancement LearningAAAI Conference on Artificial Intelligence (AAAI), 2021
Qiqi Gu
Shen Chen
Taiping Yao
Yang Chen
Shouhong Ding
Ran Yi
CVBM
195
171
0
28 Dec 2021
Face Forensics in the Wild
Face Forensics in the WildComputer Vision and Pattern Recognition (CVPR), 2021
Tianfei Zhou
Wenguan Wang
Zhiyuan Liang
Jianbing Shen
CVBM
323
159
0
30 Mar 2021
Multi-attentional Deepfake Detection
Multi-attentional Deepfake DetectionComputer Vision and Pattern Recognition (CVPR), 2021
Hanqing Zhao
Wenbo Zhou
Dongdong Chen
Tianyi Wei
Weiming Zhang
Nenghai Yu
3DPC
510
773
0
03 Mar 2021
Not made for each other- Audio-Visual Dissonance-based Deepfake
  Detection and Localization
Not made for each other- Audio-Visual Dissonance-based Deepfake Detection and LocalizationACM Multimedia (ACM MM), 2020
Komal Chugh
Parul Gupta
Abhinav Dhall
Ramanathan Subramanian
257
213
0
29 May 2020
ECAPA-TDNN: Emphasized Channel Attention, Propagation and Aggregation in
  TDNN Based Speaker Verification
ECAPA-TDNN: Emphasized Channel Attention, Propagation and Aggregation in TDNN Based Speaker Verification
Brecht Desplanques
Jenthe Thienpondt
Kris Demuynck
338
1,699
0
14 May 2020
Emotions Don't Lie: An Audio-Visual Deepfake Detection Method Using
  Affective Cues
Emotions Don't Lie: An Audio-Visual Deepfake Detection Method Using Affective CuesACM Multimedia (ACM MM), 2020
Trisha Mittal
Uttaran Bhattacharya
Rohan Chandra
Aniket Bera
Tianyi Zhou
415
306
0
14 Mar 2020
Exploiting Human Social Cognition for the Detection of Fake and
  Fraudulent Faces via Memory Networks
Exploiting Human Social Cognition for the Detection of Fake and Fraudulent Faces via Memory Networks
Tharindu Fernando
Clinton Fookes
Akila Pemasiri
Sridha Sridharan
CVBM
178
16
0
17 Nov 2019
RUBi: Reducing Unimodal Biases in Visual Question Answering
RUBi: Reducing Unimodal Biases in Visual Question AnsweringNeural Information Processing Systems (NeurIPS), 2019
Rémi Cadène
Corentin Dancette
H. Ben-younes
Matthieu Cord
Devi Parikh
CML
309
404
0
24 Jun 2019
What Makes Training Multi-Modal Classification Networks Hard?
What Makes Training Multi-Modal Classification Networks Hard?Computer Vision and Pattern Recognition (CVPR), 2019
Weiyao Wang
Du Tran
Matt Feiszli
571
566
0
29 May 2019
Derivative-Free Methods for Policy Optimization: Guarantees for Linear
  Quadratic Systems
Derivative-Free Methods for Policy Optimization: Guarantees for Linear Quadratic Systems
Dhruv Malik
A. Pananjady
Kush S. Bhatia
K. Khamaru
Peter L. Bartlett
Martin J. Wainwright
261
218
0
20 Dec 2018
Capsule-Forensics: Using Capsule Networks to Detect Forged Images and
  Videos
Capsule-Forensics: Using Capsule Networks to Detect Forged Images and Videos
H. Nguyen
Junichi Yamagishi
Isao Echizen
125
688
0
26 Oct 2018
Everybody Dance Now
Everybody Dance Now
Caroline Chan
Shiry Ginosar
Tinghui Zhou
Alexei A. Efros
374
819
0
22 Aug 2018
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