@inproceedings{
zhang2024multiobject,
title={Multi-Object 3D Grounding with Dynamic Modules and Language-Informed Spatial Attention},
author={Haomeng Zhang and Chiao An Yang and Raymond A. Yeh},
booktitle={The Thirty-eighth Annual Conference on Neural Information Processing Systems},
year={2024},
url={https://openreview.net/forum?id=jFWl9EWZ7z}
}
Multi-object 3D Grounding involves locating 3D boxes based on a given query phrase from a point cloud. It is a challenging and significant task that has numerous applications in visual understanding, human-computer interaction, and robotics. To tackle this challenge, we introduce D-LISA, a two-stage approach that incorporates three innovations. First, a dynamic vision module that enables a variable and learnable number of box proposals. Second, a dynamic camera positioning that extracts features for each proposal. Third, a language-informed spatial attention module that better reasons over the proposals to output the final prediction. Empirically, experiments show that our method outperforms the state-of-the-art methods on multi-object 3D grounding by 12.8% (absolute) and is competitive in single-object 3D grounding.
Multi-Object 3D Grounding with Dynamic Modules and Language-Informed Spatial Attention
Haomeng Zhang Chiao An Yang Raymond A. Yeh