Yuehan Wang

Enhancing Non-line-of-sight Imaging via Learnable Inverse Kernel and Attention Mechanisms

Recovering information from non-line-of-sight (NLOS) imaging is a computationally-intensive inverse problem. Most physics-based NLOS imaging methods address the complexity of this problem by assuming three-bounce reflections and no self-occlusion. However, these assumptions may break down for object…