2 citations · 4 across the 7 of their papers we have counts for
4 papers · 1 filter
Privacy-Preserving Image Sharing via Sparsifying Layers on Convolutional Groups
Sohrab Ferdowsi, Behrooz Razeghi, Taras Holotyak +2
We propose a practical framework to address the problem of privacy-aware image sharing in large-scale setups. We argue that, while compactness is always desired at scale, this need…
A multi-layer network based on Sparse Ternary Codes for universal vector compression
Sohrab Ferdowsi, Slava Voloshynovskiy, Dimche Kostadinov
We present the multi-layer extension of the Sparse Ternary Codes (STC) for fast similarity search where we focus on the reconstruction of the database vectors from the ternary code…
A multi-layer image representation using Regularized Residual Quantization: application to compression and denoising
Sohrab Ferdowsi, Slava Voloshynovskiy, Dimche Kostadinov
A learning-based framework for representation of domain-specific images is proposed where joint compression and denoising can be done using a VQ-based multi-layer network. While it…
Sparse Multi-layer Image Approximation: Facial Image Compression
Sohrab Ferdowsi, Svyatoslav Voloshynovskiy, Dimche Kostadinov
We propose a scheme for multi-layer representation of images. The problem is first treated from an information-theoretic viewpoint where we analyze the behavior of different source…