2 citations · 2 across the 4 of their papers we have counts for
5 papers
Best-of- Guidance for Test-time Diffusion Alignment
Richard Lee Kim, Yeongmin Kim, Gyuwon Sim +3
Diffusion models achieve strong generative performance but often struggle to align generated samples with human preferences measured by a reward model. A simple yet effective algor…
Lookahead Sample Reward Guidance for Test-Time Scaling of Diffusion Models
Yeongmin Kim, Donghyeok Shin, Byeonghu Na +3
Diffusion models have demonstrated strong generative performance; however, generated samples often fail to fully align with human intent. This paper studies an efficient test-time…
HomeEmergency -- Using Audio to Find and Respond to Emergencies in the Home
James F. Mullen, Dhruva Kumar, Xuewei Qi +4
In the United States alone accidental home deaths exceed 128,000 per year. Our work aims to enable home robots who respond to emergency scenarios in the home, preventing injuries a…
VLPG-Nav: Object Navigation Using Visual Language Pose Graph and Object Localization Probability Maps
Senthil Hariharan Arul, Dhruva Kumar, Vivek Sugirtharaj +6
We present VLPG-Nav, a visual language navigation method for guiding robots to specified objects within household scenes. Unlike existing methods primarily focused on navigating th…
LOC-ZSON: Language-driven Object-Centric Zero-Shot Object Retrieval and Navigation
Tianrui Guan, Yurou Yang, Harry Cheng +5
In this paper, we present LOC-ZSON, a novel Language-driven Object-Centric image representation for object navigation task within complex scenes. We propose an object-centric image…