2 citations · 2 across the 3 of their papers we have counts for
4 papers
FoAViS: Analyzing Learned Fixation Strategies in a Foveated Active Vision System
Valentin Hassler, Jonathan Henrich, Yohaï-Eliel Berreby +2
Human vision is foveated and active: resolution is highest at the fovea and falls off towards the periphery, and fixations are actively directed to locations of interest. Building…
CanViT: Toward Active-Vision Foundation Models
Yohaï-Eliel Berreby, Sabrina Du, Audrey Durand +1
Active computer vision promises efficient, biologically plausible perception through sequential, localized glimpses, but lacks scalable general-purpose architectures and pretrainin…
Random Initialization of Gated Sparse Adapters
Vi Retault, Yohaï-Eliel Berreby
When fine-tuning language models on new tasks, catastrophic forgetting -- performance degradation on previously-learned tasks -- is a ubiquitous problem. While Parameter-Efficient…
Investigating Efficient Deep Learning Architectures For Side-Channel Attacks on AES
Yohaï-Eliel Berreby, Laurent Sauvage
Over the past few years, deep learning has been getting progressively more popular for the exploitation of side-channel vulnerabilities in embedded cryptographic applications, as i…