3 papers
cs.RO2025
AutoLoop: Fast Visual SLAM Fine-tuning through Agentic Curriculum Learning
Assaf Lahiany, Oren Gal
Current visual SLAM systems face significant challenges in balancing computational efficiency with robust loop closure handling. Traditional approaches require careful manual tunin…
cs.LG2025
PTEENet: Post-Trained Early-Exit Neural Networks Augmentation for Inference Cost Optimization
Assaf Lahiany, Yehudit Aperstein
For many practical applications, a high computational cost of inference over deep network architectures might be unacceptable. A small degradation in the overall inference accuracy…
cs.RO2024
Robust Monocular Visual Odometry using Curriculum Learning
Assaf Lahiany, Oren Gal
Curriculum Learning (CL), drawing inspiration from natural learning patterns observed in humans and animals, employs a systematic approach of gradually introducing increasingly com…