Research Topics

• Uncertainty estimation, anomaly detection, out-of-distribution detection
• Few-shot learning, noisy label learning, semi-supervised learning
• Model compression, neural architecture search, lightweight architecture design

Applications

• Computer vision and medical image analysis (segmentation, detection, pose estimation, depth estimation)
• Automated driving and robotics (localisation, trajectory forecasting, multiple agent representation learning)
• Signal processing (denoising and 3D reconstruction)