Anil K. Jain

SapiensID 2.0 achieves state-of-the-art recognition performance by aligning human perception with advanced semantic and temporal modeling techniques.

Overlapped fingerprints can now be separated with unprecedented accuracy using a novel diffusion-based inpainting approach that outperforms traditional methods.

ViT achieves an impressive 96.85% accuracy in dog face recognition, showcasing the potential of transfer learning for multispecies identification.

Even when multimodal LLMs get face verification right, their explanations are often wrong, relying on hallucinated facial attributes.