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06/08/2023
Does Image Anonymization Impact Computer Vision Training?
Image anonymization is widely adapted in practice to comply with privacy...
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04/06/2023
Synthesizing Anyone, Anywhere, in Any Pose
We address the task of in-the-wild human figure synthesis, where the pri...
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03/20/2023
FullFormer: Generating Shapes Inside Shapes
Implicit generative models have been widely employed to model 3D data an...
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11/28/2022
Train smarter, not harder: learning deep abdominal CT registration on scarce data
Purpose: This study aims to explore training strategies to improve convo...
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11/17/2022
DeepPrivacy2: Towards Realistic Full-Body Anonymization
Generative Adversarial Networks (GANs) are widely adapted for anonymizat...
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01/06/2022
Realistic Full-Body Anonymization with Surface-Guided GANs
Recent work on image anonymization has shown that generative adversarial...
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12/21/2021
Teacher-Student Architecture for Mixed Supervised Lung Tumor Segmentation
Purpose: Automating tasks such as lung tumor localization and segmentati...
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11/02/2020
Image Inpainting with Learnable Feature Imputation
A regular convolution layer applying a filter in the same way over known...
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09/10/2019
DeepPrivacy: A Generative Adversarial Network for Face Anonymization
We propose a novel architecture which is able to automatically anonymize...
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05/19/2019
Multimodal 3D Object Detection from Simulated Pretraining
The need for simulated data in autonomous driving applications has becom...
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05/16/2019