Zhensong Zhang

Tailoring evaluation taxonomies for each vision-language model reveals a 32% improvement in performance and uncovers unique model blind spots that global assessments miss.

Achieving competitive video super-resolution quality with just 11.25% of the usual trainable parameters, LiteVSR redefines efficiency in adapting frozen diffusion models.

Achieve fine-grained, six-degrees-of-freedom camera control in dynamic scenes with a generalizable model that outperforms scene-specific and diffusion-based approaches.

Smart glasses powered by web-native AI agents can now outperform commercial solutions in assistive tasks, offering a practical path to always-on, context-aware help for users navigating daily life.