International Conference on Multimedia Retrieval (2022)
Workshops
MAD@ICMR 2022: Proceedings of the 1st International Workshop on Multimedia AI against Disinformation, Newark, NJ, USA, June 27 - 30, 2022
Towards Generalization in Deepfake Detection
Luisa Verdoliva
Let the Chatbot Speak! Freedom of Expression and Synthetic Media
Katja De Vries
On the Generalizability of Two-dimensional Convolutional Neural Networks for Fake Speech Detection
Christoforos Papastergiopoulos
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Anastasios Vafeiadis
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Ioannis Papadimitriou
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Konstantinos Votis
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Dimitrios Tzovaras
Spectral Denoising for Microphone Classification
Luca Cuccovillo
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Antonio Giganti
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Paolo Bestagini
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Patrick Aichroth
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Stefano Tubaro
Automatic and Manual Detection of Generated News: Case Study, Limitations and Challenges
Jérémie Bogaert
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Marie-Catherine de Marneffe
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Antonin Descampe
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François-Xavier Standaert
Extractive-Boolean Question Answering for Scientific Fact Checking
Loïc Rakotoson
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Charles Letaillieur
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Sylvain Massip
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Fréjus A. A. Laleye
How Did Europe's Press Cover Covid-19 Vaccination News? A Five-Country Analysis
David Alonso del Barrio
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Daniel Gática-Pérez
Automatic Detection of Bot-generated Tweets
Julien Tourille
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Babacar Sow
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Adrian Popescu
Cross-Forgery Analysis of Vision Transformers and CNNs for Deepfake Image Detection
Davide Alessandro Coccomini
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Roberto Caldelli
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Fabrizio Falchi
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Claudio Gennaro
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Giuseppe Amato
The MeVer DeepFake Detection Service: Lessons Learnt from Developing and Deploying in the Wild
Spiros Baxevanakis
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Giorgos Kordopatis-Zilos
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Panagiotis Galopoulos
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Lazaros Apostolidis
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Killian Levacher
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Ipek Baris Schlicht
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Denis Teyssou
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Ioannis Kompatsiaris
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Symeon Papadopoulos
Uncovering the Strength of Capsule Networks in Deepfake Detection
Dan-Cristian Stanciu
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Bogdan Ionescu
Fake News Detection Based on Multi-Modal Classifier Ensemble
Yi Shao
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Jiande Sun
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Tianlin Zhang
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Ye Jiang
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Jianhua Ma
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Jing Li
ICDAR@ICMR 2022: Proceedings of the 3rd ACM Workshop on Intelligent Cross-Data Analysis and Retrieval, Newark, NJ, USA, June 27 - 30, 2022
Explainable Artificial Intelligence for Human Embryo Cell Cleavage Stages Analysis
Akriti Sharma
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Mette H. Stensen
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Erwan Delbarre
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Trine B. Haugen
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Hugo Lewi Hammer
Multimodal Cheapfakes Detection by Utilizing Image Captioning for Global Context
Tuan-Vinh La
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Quang-Tien Tran
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Thanh-Phuc Tran
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Anh-Duy Tran
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Duc-Tien Dang-Nguyen
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Minh-Son Dao
Tone Classification for Political Advertising Video using Multimodal Cues
Anh-Khoa Vo
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Yuta Nakashima
A Hybrid Transformer Network for Detection of Risk Situations on Multimodal Life-Log Health Data
Rupayan Mallick
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Jenny Benois-Pineau
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Akka Zemmari
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Marion Pech
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Thinhinane Yebda
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Hélène Amieva
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Laura Middleton
Predicting High-risk Congestion Areas During Heavy Rain Using Multi Prediction Model and Maximum Periodic Frequent Pattern Algorithms
Minh-Dang Tran
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Nazmudeen Mohamed Saleem
IoT-based Multimodal Analysis for Smart Education: Current Status, Challenges and Opportunities
Wenbin Gan
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Minh-Son Dao
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Koji Zettsu
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Yuan Sun
Is More Realistic Better? A Comparison of Game Engine and GAN-based Avatars for Investigative Interviews of Children
Pegah Salehi
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Syed Zohaib Hassan
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Saeed Shafiee Sabet
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Gunn Astrid Baugerud
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Miriam Sinkerud Johnson
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Pål Halvorsen
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Michael A. Riegler
Towards Intellectual Property Rights Protection in Big Data
Rafik Hamza
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Minh-Son Dao
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Sadanori Ito
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Koji Zettsu
DeDigi: A Privacy-by-Design Platform for Image Forensics
Chi-Hao Tran
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Quoc-Thang Tran
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Quynh-Chau Long-Vu
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Hai-Son Nguyen
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Anh-Duy Tran
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Duc-Tien Dang-Nguyen
FedMCRNN: Federated Learning using Multiple Convolutional Recurrent Neural Networks for Sleep Quality Prediction
Tran Anh Khoa
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Do-Van Nguyen
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Phuoc Van Nguyen Thi
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Koji Zettsu
Efficient Resource Allocation using Federated Learning in Cellular Networks
Son Cao Nguyen
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Minh Hoang
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Tinh Phuc Vo
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Duc Ngoc Minh Dang