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cs.CV2025
LiDAS: Lighting-driven Dynamic Active Sensing for Nighttime Perception
Simon de Moreau, Andrei Bursuc, Hafid El-Idrissi +1
Nighttime environments pose significant challenges for camera-based perception, as existing methods passively rely on the scene lighting. We introduce Lighting-driven Dynamic Activ…
cs.LG2025
Multiple-Frequencies Population-Based Training
Waël Doulazmi, Auguste Lehuger, Marin Toromanoff +3
Reinforcement Learning's high sensitivity to hyperparameters is a source of instability and inefficiency, creating significant challenges for practitioners. Hyperparameter Optimiza…
cs.LG2025
Improving Consistency in Vehicle Trajectory Prediction Through Preference Optimization
Caio Azevedo, Lina Achaji, Stefano Sabatini +4
Trajectory prediction is an essential step in the pipeline of an autonomous vehicle. Inaccurate or inconsistent predictions regarding the movement of agents in its surroundings lea…