Haomeng Zhang — accepted AI-conference papers

2024

Multi-Object 3D Grounding with Dynamic Modules and Language-Informed Spatial Attention

Haomeng Zhang, Chiao An Yang, Raymond A. Yeh

NeurIPS 2024poster

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…

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2023

Hyperspherical Embedding for Point Cloud Completion

Junming Zhang, Haomeng Zhang, Ram Vasudevan, Matthew Johnson-Roberson

CVPR 2023poster

Most real-world 3D measurements from depth sensors are incomplete, and to address this issue the point cloud completion task aims to predict the complete shapes of objects from partial observations. Previous works often adapt an encoder-decoder architecture, where the encoder is trained to extract e…

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