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Youssef Akoudad

2 accepted papers

2025

Lightweight Self-Supervised Monocular Depth Estimation for All-Day Scenes Using Generative Adversarial Network

ICASSP 2025accepted

Self-supervised monocular depth estimation (MDE) has achieved performance levels comparable to supervised methods in well-lit environments. However, current methods struggle particularly with challenging nighttime scenes. Existing all-day self-supervised MDE methods often rely on specialized nightti…

Cited by 0SourceScholar
2024

MA-Stereo: Real-Time Stereo Matching via Multi-Scale Attention Fusion and Spatial Error-Aware Refinement

RA-L 2024

Stereo matching is a fundamental task in computer vision. Real-time stereo matching has recently shown great potential in robotics and autonomous driving applications. However, the existing cost aggregation in real-time stereo matching suffers from accuracy limitations in ill-posed regions. Furtherm

Cited by 4SourceScholar