Payam Jome Yazdian — accepted AI-conference papers

2025

MotionScript: Natural Language Descriptions for Expressive 3D Human Motions

Payam Jome Yazdian, Rachel Lagasse, Hamid Mohammadi, Eric Liu, Li Cheng, Angelica Lim

IROS 2025

We introduce MotionScript, a novel framework for generating highly detailed, natural language descriptions of 3D human motions. Unlike existing motion datasets that rely on broad action labels or generic captions, MotionScript provides fine-grained, structured descriptions that capture the full comp

Cited by 29 Source ↗code ↗Scholar ↗

2022

Gesture2Vec: Clustering Gestures using Representation Learning Methods for Co-speech Gesture Generation

Payam Jome Yazdian, Mo Chen, Angelica Lim

IROS 2022poster

Co-speech gestures are a principal component in conveying messages and enhancing interaction experiences between humans and critical ingredients in human-agent interaction, including virtual agents and robots. Existing machine learning approaches have yielded only marginal success in learning speech…

Cited by 34 Source ↗code ↗Scholar ↗