Hongbo Zhang

Ego-motion ambiguity in VLMs can lead to severe spatial reasoning failures, but a new benchmark and framework show how to ground visual representations in 3D space effectively.

Multimodal fusion significantly enhances emotion recognition accuracy in vehicles, revealing critical insights into driver state monitoring.

Forget backprop and memory lookups: FAAST lets you adapt models at test time with a single forward pass, matching fine-tuning accuracy with massive speed and memory gains.