SS-13.2
EXPLAINABLE FACT-CHECKING THROUGH QUESTION ANSWERING
Jing Yang, Didier Vega-Oliveros, Anderson Rocha, Recod.ai, University of Campinas, Brazil; Taís Seibt, Universidade do Vale do Rio dos Sinos, Brazil
Session:
Semantic and Interpretable Analysis in Multimedia Forensics
Track:
Special Sessions
Location:
Gather Area A
Presentation Time:
Thu, 12 May, 20:00 - 20:45 China Time (UTC +8)
Thu, 12 May, 12:00 - 12:45 UTC
Thu, 12 May, 12:00 - 12:45 UTC
Session Co-Chairs:
Christian Riess, Friedrich-Alexander University and Luisa Verdoliva, University Federico II of Naples
Session SS-13
SS-13.1: A-PIXELHOP: A GREEN, ROBUST AND EXPLAINABLE FAKE-IMAGE DETECTOR
Yao Zhu, Xinyu Wang, Hong-Shuo Chen, C.-C. Jay Kuo, University of Southern California, United States of America; Ronald Salloum, California State University, San Bernardino, United States of America
SS-13.2: EXPLAINABLE FACT-CHECKING THROUGH QUESTION ANSWERING
Jing Yang, Didier Vega-Oliveros, Anderson Rocha, Recod.ai, University of Campinas, Brazil; Taís Seibt, Universidade do Vale do Rio dos Sinos, Brazil
SS-13.3: DEEP VIDEO INPAINTING LOCALIZATION USING SPATIAL AND TEMPORAL TRACES
Shujin Wei, Haodong Li, Jiwu Huang, Shenzhen University, China
SS-13.4: DEEPFAKE SPEECH DETECTION THROUGH EMOTION RECOGNITION: A SEMANTIC APPROACH
Emanuele Conti, Davide Salvi, Clara Borrelli, Paolo Bestagini, Fabio Antonacci, Augusto Sarti, Stefano Tubaro, Politecnico di Milano, Italy; Brian Hosler, Matthew C. Stamm, Drexel University, United States of America
SS-13.5: TEXT-IMAGE DE-CONTEXTUALIZATION DETECTION USING VISION-LANGUAGE MODELS
Mingzhen Huang, Shan Jia, Siwei Lyu, University at Buffalo, United States of America; Ming-Ching Chang, University at Albany, United States of America
SS-13.6: CUSTOM ATTRIBUTION LOSS FOR IMPROVING GENERALIZATION AND INTERPRETABILITY OF DEEPFAKE DETECTION
Pavel Korshunov, Anubhav Jain, Sebastien Marcel, Idiap Research Institute, Switzerland