Rahul Jain

PhD Candidate • Computer Vision & HCI • Purdue University

Hello! I am a final-year PhD student at the Convergence Design Lab, advised by Prof. Karthik Ramani.

My research lies at the intersection of Computer Vision, Generative AI, and Human-Computer Interaction. I build physically intelligent systems that understand human intent and generate actionable guidance in the real world.

Rahul Jain

Research Focus

Bridging the gap between machine perception and human interaction.

Perception &
Understanding

How machines observe, structure, and reason about human–object interactions across time and modalities.

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Interaction &
Generation

Translating machine understanding into interactive systems, guidance, and generative 3D experiences.

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Physical Reasoning &
Modeling

Grounding perception and generation in physics, object dynamics, and real-world constraints.

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Latest News

Jan 2026
Two papers accepted to ICRA 2026 (DYNAMO, OVTAS).
Jan 2026
One paper accepted to CHI 2026 (ARify).
Dec 2025
One paper accepted to IUI 2026 (Canvas3D).
May 2025
Joined Prime Video & Studios CoreTech (Seattle) as a Research Intern working on large multimodal models.
Jan 2025
Three papers accepted to CHI 2025 (CARING-AI, Transparent Barriers, AdaptiveSliders).
Dec 2024
Paper on Causality in Mixed Reality accepted to IEEE TVCG.
Jul 2024
AnnotateXR accepted to JCISE and AvaTTAR accepted to UIST 2024.

Selected Publications

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CARING-AI
CHI 2025

CARING-AI: Context-aware AR

Towards Authoring Context-aware Augmented Reality Instruction through Generative AI. We enable systems to generate adaptive instructions based on the user's environment.

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AvaTTAR
UIST 2024

AvaTTAR: Table Tennis Training

Table Tennis Stroke Training with On-body and Detached Visualization in Augmented Reality. Visualizing stroke dynamics directly on the user to improve motor skills.

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Interacting Objects
RA-L 2024

Interacting Objects Dataset

A novel dataset of Object-Object Interactions (OOI). Focusing on the physical dynamics between objects themselves to enable richer scene understanding.

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