4 papers
Auto-Vocabulary 3D Object Detection
Haomeng Zhang, Kuan-Chuan Peng, Suhas Lohit +1
Open-vocabulary 3D object detection methods are able to localize 3D boxes of classes unseen during training. Despite the name, existing methods rely on user-specified classes both…
WISE: Weighted Iterative Society-of-Experts for Robust Multimodal Multi-Agent Debate
Anoop Cherian, River Doyle, Eyal Ben-Dov +2
Recent large language models (LLMs) are trained on diverse corpora and tasks, leading them to develop complementary strengths. Multi-agent debate (MAD) has emerged as a popular way…
Towards Open-Vocabulary Multimodal 3D Object Detection with Attributes
Xinhao Xiang, Kuan-Chuan Peng, Suhas Lohit +2
3D object detection plays a crucial role in autonomous systems, yet existing methods are limited by closed-set assumptions and struggle to recognize novel objects and their attribu…
Improving Open-World Object Localization by Discovering Background
Ashish Singh, Michael J. Jones, Kuan-Chuan Peng +3
Our work addresses the problem of learning to localize objects in an open-world setting, i.e., given the bounding box information of a limited number of object classes during train…