Tanveer Hussain

Generative Late-Interaction Embeddings (GLIE): k<<N vectors per page learned from the normalized centroids to serve as both a lightweight index and a basis for regenerating the page's full embedding set, with the decoder as its main design surface.

Explicitly modeling skin lesions as graphs with integrated metadata leads to significant improvements in classification accuracy over traditional CNN/ViT methods.

Forget collapsing videos into text – this hierarchical grid lets you zoom into any moment with lossless visual fidelity, unlocking logarithmic compute scaling for long-form video understanding.