17 citations · 17 across the 3 of their papers we have counts for
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cs.CV2025
C-SWAP: Explainability-Aware Structured Pruning for Efficient Neural Networks Compression
Baptiste Bauvin, Loïc Baret, Ola Ahmad
Neural network compression has gained increasing attention in recent years, particularly in computer vision applications, where the need for model reduction is crucial for overcomi…
cs.CV2022
FisheyeHDK: Hyperbolic Deformable Kernel Learning for Ultra-Wide Field-of-View Image Recognition
Ola Ahmad, Freddy Lecue
Conventional convolution neural networks (CNNs) trained on narrow Field-of-View (FoV) images are the state-of-the-art approaches for object recognition tasks. Some methods proposed…
cs.CV2021★ 17 cited
Adaptable Deformable Convolutions for Semantic Segmentation of Fisheye Images in Autonomous Driving Systems
Clément Playout, Ola Ahmad, Freddy Lecue +1
Advanced Driver-Assistance Systems rely heavily on perception tasks such as semantic segmentation where images are captured from large field of view (FoV) cameras. State-of-the-art…