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Thang Pham

3 accepted papers

2024

Open-Fusion: Real-time Open-Vocabulary 3D Mapping and Queryable Scene Representation

ICRA 2024poster

Precise 3D environmental mapping with semantics is essential in robotics. Existing methods often rely on pre-defined concepts during training or are time-intensive when generating semantic maps. This paper presents Open-Fusion, an approach for real-time open-vocabulary 3D mapping and queryable scene…

Cited by 75SourcecodeScholar
2024

PEEB: Part-based Image Classifiers with an Explainable and Editable Language Bottleneck

NAACL 2024findings

CLIP-based classifiers rely on the prompt containing a class name that is known to the text encoder. Therefore, they perform poorly on new classes or the classes whose names rarely appear on the Internet (e.g., scientific names of birds). For fine-grained classification, we propose PEEB – an explain…