1 citations · 1 across the 7 of their papers we have counts for
9 papers
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…
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…
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…
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…
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…
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…