Visual Salamandra: Pushing the Boundaries of Multimodal Understanding

NeoMME: an efficient Multimodal-native and Multilingual Encoder

System helps humans predict when self-driving cars will make mistakes

A new method, called CW-Net, translates the reasoning process of an autonomous vehicle’s AI system into understandable concepts that explain its behavior.

Introducing agentic video understanding with Gemini

AgentHands: Generating interactive hand gestures for spatially grounded agent conversations in XR

Human-Computer Interaction and Visualization