Tyson Jordan — accepted AI-conference papers

2026

Common Inpainted Objects In-N-Out of Context

Tianze Yang, Tyson Jordan, Ruitong Sun, Ninghao Liu, Jin Sun

CVPR 2026

We present Common Inpainted Objects In-N-Out of Context (COinCO), a novel dataset addressing the scarcity of out-of-context examples in existing vision datasets. By systematically replacing objects in COCO images through diffusion-based inpainting, we create 97,722 unique images featuring both conte

Cited by 0 Source ↗code ↗Scholar ↗

2025

Analyzing Human Perceptions of a MEDEVAC Robot in a Simulated Evacuation Scenario

Tyson Jordan, Pranav Pandey, Prashant Doshi, Ramviyas Parasuraman, Adam Goodie

IROS 2025

The use of autonomous systems in medical evacuation (MEDEVAC) scenarios is promising, but existing implementations overlook key insights from human-robot interaction (HRI) research. Studies on human-machine teams demonstrate that human perceptions of a machine teammate are critical in governing the

Cited by 2 Source ↗Scholar ↗