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Shilong Liu*

2 accepted papers

2024

Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection

ECCV 2024poster

"In this paper, we develop an open-set object detector, called Grounding DINO, by marrying Transformer-based detector DINO with grounded pre-training, which can detect arbitrary objects with human inputs such as category names or referring expressions. The key solution of open-set object detection i…

2024

LLaVA-Plus: Learning to Use Tools for Creating Multimodal Agents

ECCV 2024poster

"This paper presents (), a general-purpose multimodal assistant trained using an end-to-end approach that systematically expands the capabilities of large multimodal models (LMMs). maintains a skill repository that contains a wide range of vision and vision-language pre-trained models (tools), and i…