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02/08/2021
Privacy-Preserving Near Neighbor Search via Sparse Coding with Ambiguation
In this paper, we propose a framework for privacy-preserving approximate...
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02/04/2020
Privacy-Preserving Image Sharing via Sparsifying Layers on Convolutional Groups
We propose a practical framework to address the problem of privacy-aware...
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09/13/2019
ρ-VAE: Autoregressive parametrization of the VAE encoder
We make a minimal, but very effective alteration to the VAE model. This ...
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01/24/2019
Learning to compress and search visual data in large-scale systems
The problem of high-dimensional and large-scale representation of visual...
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06/07/2018
Privacy-Preserving Identification via Layered Sparse Code Design: Distributed Servers and Multiple Access Authorization
We propose a new computationally efficient privacy-preserving identifica...
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05/20/2018
Network Learning with Local Propagation
This paper presents a locally decoupled network parameter learning with ...
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10/31/2017
A multi-layer network based on Sparse Ternary Codes for universal vector compression
We present the multi-layer extension of the Sparse Ternary Codes (STC) f...
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07/07/2017
A multi-layer image representation using Regularized Residual Quantization: application to compression and denoising
A learning-based framework for representation of domain-specific images ...
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01/26/2017
Sparse Ternary Codes for similarity search have higher coding gain than dense binary codes
This paper addresses the problem of Approximate Nearest Neighbor (ANN) s...
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06/12/2015