4 papers
Multi-Scale Visual Prompting for Lightweight Small-Image Classification
Salim Khazem
Visual prompting has recently emerged as an efficient strategy to adapt vision models using lightweight, learnable parameters injected into the input space. However, prior work mai…
Cyclical Temporal Encoding and Hybrid Deep Ensembles for Multistep Energy Forecasting
Salim Khazem, Houssam Kanso
Accurate electricity consumption forecasting is essential for demand management and smart grid operations. This paper introduces a unified deep learning framework that integrates c…
BYO-Eval: Build Your Own Dataset for Fine-Grained Visual Assessment of Multimodal Language Models
Ludovic Arnould, Salim Khazem, Hugues Ali Mehenni
Visual Language Models (VLMs) are now sufficiently advanced to support a broad range of applications, including answering complex visual questions, and are increasingly expected to…
PolygoNet: Leveraging Simplified Polygonal Representation for Effective Image Classification
Salim Khazem, Jeremy Fix, Cédric Pradalier
Deep learning models have achieved significant success in various image related tasks. However, they often encounter challenges related to computational complexity and overfitting.…