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Found 11 papers, 2 papers with code
My Art My Choice: Adversarial Protection Against Unruly AI
Generative AI is on the rise, enabling everyone to produce realistic content via publicly available interfaces.
How Do Deepfakes Move? Motion Magnification for Deepfake Source Detection
We contrast the movement in deepfakes and authentic videos by motion magnification towards building a generalized deepfake source detector.
My Face My Choice: Privacy Enhancing Deepfakes for Social Media Anonymization
Recently, productization of face recognition and identification algorithms have become the most controversial topic about ethical AI.
MixSyn: Learning Composition and Style for Multi-Source Image Synthesis
Synthetic images created by generative models increase in quality and expressiveness as newer models utilize larger datasets and novel architectures.
Where Do Deep Fakes Look? Synthetic Face Detection via Gaze Tracking
Following the recent initiatives for the democratization of AI, deep fake generators have become increasingly popular and accessible, causing dystopian scenarios towards social erosion of trust.
How Do the Hearts of Deep Fakes Beat? Deep Fake Source Detection via Interpreting Residuals with Biological Signals
Our results indicate that our approach can detect fake videos with 97. 29% accuracy, and the source model with 93. 39% accuracy.
SkelNetOn 2019: Dataset and Challenge on Deep Learning for Geometric Shape Understanding
We present SkelNetOn 2019 Challenge and Deep Learning for Geometric Shape Understanding workshop to utilize existing and develop novel deep learning architectures for shape understanding.
FakeCatcher: Detection of Synthetic Portrait Videos using Biological Signals
Lastly, we release an "in the wild" dataset of fake portrait videos that we collected as a part of our evaluation process.
Guided Proceduralization: Optimizing Geometry Processing and Grammar Extraction for Architectural Models
We describe a guided proceduralization framework that optimizes geometry processing on architectural input models to extract target grammars.
DeepGlobe 2018: A Challenge to Parse the Earth through Satellite Images
We present the DeepGlobe 2018 Satellite Image Understanding Challenge, which includes three public competitions for segmentation, detection, and classification tasks on satellite images.
Procedural Editing of 3D Building Point Clouds
Thanks to the recent advances in computational photography and remote sensing, point clouds of buildings are becoming increasingly available, yet their processing poses various challenges.
