Landan Seguin — accepted AI-conference papers

2024

CommonCanvas: Open Diffusion Models Trained on Creative-Commons Images

Aaron Gokaslan, A. Feder Cooper, Jasmine Collins, Landan Seguin, Austin Jacobson, Mihir Patel +3

CVPR 2024poster

We train a set of open text-to-image (T2I) diffusion models on a dataset of curated Creative-Commons-licensed (CC) images which yields models that are competitive with Stable Diffusion 2 (SD2). This task presents two challenges: (1) high-resolution CC images lack the captions necessary to train T2I…

Cited by 30 Source ↗PDF ↗Scholar ↗

2019

Toward Affordance Detection and Ranking on Novel Objects for Real-World Robotic Manipulation

Fu-Jen Chu, Ruinian Xu, Landan Seguin, Patricio A. Vela

RA-L 2019

This letter presents a framework to detect and rank affordances of novel objects to assist with robotic manipulation tasks. The framework segments the affordance map of unseen objects using region-based affordance segmentation. Detected affordances define an initial state from which to generate acti

Cited by 40 Source ↗Scholar ↗