510 citations · 972 across the 24 of their papers we have counts for
4 papers · 1 filter
Differentially Private Federated Learning: A Client Level Perspective
Robin C. Geyer, Tassilo Klein, Moin Nabi
Federated learning is a recent advance in privacy protection. In this context, a trusted curator aggregates parameters optimized in decentralized fashion by multiple clients. The r…
Abnormal Event Detection in Videos using Generative Adversarial Nets
Mahdyar Ravanbakhsh, Moin Nabi, Enver Sangineto +3
In this paper we address the abnormality detection problem in crowded scenes. We propose to use Generative Adversarial Nets (GANs), which are trained using normal frames and corres…
Training Adversarial Discriminators for Cross-channel Abnormal Event Detection in Crowds
Mahdyar Ravanbakhsh, Enver Sangineto, Moin Nabi +1
Abnormal crowd behaviour detection attracts a large interest due to its importance in video surveillance scenarios. However, the ambiguity and the lack of sufficient abnormal groun…
FOIL it! Find One mismatch between Image and Language caption
Ravi Shekhar, Sandro Pezzelle, Yauhen Klimovich +4
In this paper, we aim to understand whether current language and vision (LaVi) models truly grasp the interaction between the two modalities. To this end, we propose an extension o…