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Privacy-Preserving Image Features via Adversarial Affine Subspace Embeddings
(2021)2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)Many computer vision systems require users to upload image features to the cloud for processing and storage. These features can be exploited to recover sensitive information about the scene or subjects, e.g., by reconstructing the appearance of the original image. To address this privacy concern, we propose a new privacy-preserving feature representation. The core idea of our work is to drop constraints from each feature descriptor by ...Conference Paper -
Privacy Preserving Image Queries for Camera Localization
(2019)17th International Conference on Computer Vision (ICCV 2019)Conference Paper -
Privacy preserving image-based localization
(2019)Proceedings of the 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2019)Conference Paper -
Learning to Fuse Proposals from Multiple Scanline Optimizations in Semi-Global Matching
(2018)Lecture Notes in Computer Science ~ Computer Vision – ECCV 2018: 15th European Conference, Munich, Germany, September 8-14, 2018, Proceedings, Part XIIIConference Paper