Nhi Pham

Interpretable 3D Neural Object Volumes for Robust Conceptual Reasoning

With the rise of deep neural networks, especially in safety-critical applications, robustness and interpretability are crucial to ensure their trustworthiness. Recent advances in 3D-aware classifiers that map image features to volumetric representation of objects, rather than relying solely on 2D ap…