Hello 🎊

I am Jinxi He (何锦熙), a second-year master’s student in Robotics at Carnegie Mellon UniversityCMU, advised by Prof. Katia Sycara.

My research focuses on video understanding, multimodal reasoning, vision-language models, visual memory, and contextual safety.

I want to build video models that:

Retain meaningful context
Efficiently build memories that preserve relevant information over time and connect past observations to new experiences.
Reason beyond observation
Infer relationships, dynamics, and intent from video to understand not only what happens, but how and why.
Guide real-world decisions and actions
Translate this understanding into informed judgments and purposeful actions in real-world situations.
Click to see more!

News 🐝

New preprint StreamScout: Learning When to Look Deeper for Streaming Video Understanding is now available on arXiv! Paper

VERIFY: A Benchmark of Visual Explanation and Reasoning for Investigating Multimodal Reasoning Fidelity has been accepted to COLM 2026! Paper Website Benchmark

New paper LENS: Adaptive Spatio-Temporal Zooming for Keyframe Sampling in Long-Form Videos has been accepted to ECCV 2026! Paper Website Code

Goal2Pixel: Grounding Goals to Pixels for Vision-Language Navigation. Paper Website