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Found 4 papers, 1 papers with code
SmartAnnotator: An Interactive Tool for Annotating RGBD Indoor Images
Further, as more scenes are annotated, the system makes better suggestions based on structural and geometric priors learns from the previous annotation sessions.
A Meaning-based Statistical English Math Word Problem Solver
We introduce MeSys, a meaning-based approach, for solving English math word problems (MWPs) via understanding and reasoning in this paper.
Seeing Behind Objects for 3D Multi-Object Tracking in RGB-D Sequences
From a sequence of RGB-D frames, we detect objects in each frame and learn to predict their complete object geometry as well as a dense correspondence mapping into a canonical space.
Factored Neural Representation for Scene Understanding
A long-standing goal in scene understanding is to obtain interpretable and editable representations that can be directly constructed from a raw monocular RGB-D video, without requiring specialized hardware setup or priors.
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