activity
20182025
most citedReconstructing Interpretable Features in Computational Super-Resolution microscopy via Regularized Latent Search

1 citations · 1 across the 8 of their papers we have counts for

collaborators

9 papers

cs.LG2025

The 1st International Workshop on Disentangled Representation Learning for Controllable Generation (DRL4Real): Methods and Results

Qiuyu Chen, Xin Jin, Yue Song +45

This paper reviews the 1st International Workshop on Disentangled Representation Learning for Controllable Generation (DRL4Real), held in conjunction with ICCV 2025. The workshop a…

cs.CV2025

DiViD: Disentangled Video Diffusion for Static-Dynamic Factorization

Marzieh Gheisari, Auguste Genovesio

Unsupervised disentanglement of static appearance and dynamic motion in video remains a fundamental challenge, often hindered by information leakage and blurry reconstructions in e…

eess.IV2024★ 1 cited

Reconstructing Interpretable Features in Computational Super-Resolution microscopy via Regularized Latent Search

Marzieh Gheisari, Auguste Genovesio

Supervised deep learning approaches can artificially increase the resolution of microscopy images by learning a mapping between two image resolutions or modalities. However, such m…

cs.CV2023

Super-Resolution through StyleGAN Regularized Latent Search: A Realism-Fidelity Trade-off

Marzieh Gheisari, Auguste Genovesio

This paper addresses the problem of super-resolution: constructing a highly resolved (HR) image from a low resolved (LR) one. Recent unsupervised approaches search the latent space…

cs.CV2022

AggNet: Learning to Aggregate Faces for Group Membership Verification

Marzieh Gheisari, Javad Amirian, Teddy Furon +1

In some face recognition applications, we are interested to verify whether an individual is a member of a group, without revealing their identity. Some existing methods, propose a…

cs.CV2020

Joint Learning of Assignment and Representation for Biometric Group Membership

Marzieh Gheisari, Teddy Furon, Laurent Amsaleg

This paper proposes a framework for group membership protocols preventing the curious but honest server from reconstructing the enrolled biometric signatures and inferring the iden…

cs.CR2020

Group Membership Verification with Privacy: Sparse or Dense?

Marzieh Gheisari, Teddy Furon, Laurent Amsaleg

Group membership verification checks if a biometric trait corresponds to one member of a group without revealing the identity of that member. Recent contributions provide privacy f…

cs.CV2019

Privacy Preserving Group Membership Verification and Identification

Marzieh Gheisari, Teddy Furon, Laurent Amsaleg

When convoking privacy, group membership verification checks if a biometric trait corresponds to one member of a group without revealing the identity of that member. Similarly, gro…

cs.CR2018

Aggregation and Embedding for Group Membership Verification

Marzieh Gheisari, Teddy Furon, Laurent Amsaleg +2

This paper proposes a group membership verification protocol preventing the curious but honest server from reconstructing the enrolled signatures and inferring the identity of quer…