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Hanlin Mai

3 accepted papers

2026

Robotic Manipulation by Imitating Generated Videos Without Physical Demonstrations

ICLR 2026poster

This work introduces Robots Imitating Generated Videos (RIGVid), a system that enables robots to perform complex manipulation tasks—such as pouring, wiping, and mixing—purely by imitating AI-generated videos, without requiring any physical demonstrations or robot-specific training. Given a language…

Cited by 0SourcecodeScholar
2025

Toward Engineering AGI: Benchmarking the Engineering Design Capabilities of LLMs

NeurIPS 2025poster

Modern engineering, spanning electrical, mechanical, aerospace, civil, and computer disciplines, stands as a cornerstone of human civilization and the foundation of our society. However, engineering design poses a fundamentally different challenge for large language models (LLMs) compared with tradi…

Cited by 0SourceScholar
2024

Shadows Don't Lie and Lines Can't Bend! Generative Models don't know Projective Geometry...for now

CVPR 2024poster

Generative models can produce impressively realistic images. This paper demonstrates that generated images have geometric features different from those of real images. We build a set of collections of generated images prequalified to fool simple signal-based classifiers into believing they are real.…