activity
20182021
most citedLanguageRefer: Spatial-Language Model for 3D Visual Grounding

22 citations · 23 across the 3 of their papers we have counts for

collaborators

7 papers

cs.RO202122 cited

LanguageRefer: Spatial-Language Model for 3D Visual Grounding

Junha Roh, Karthik Desingh, Ali Farhadi +1

For robots to understand human instructions and perform meaningful tasks in the near future, it is important to develop learned models that comprehend referential language to ident…

cs.RO20211 cited

Differentiable Nonparametric Belief Propagation

Anthony Opipari, Chao Chen, Shoutian Wang +3

We present a differentiable approach to learn the probabilistic factors used for inference by a nonparametric belief propagation algorithm. Existing nonparametric belief propagatio…

cs.RO2020

Parts-Based Articulated Object Localization in Clutter Using Belief Propagation

Jana Pavlasek, Stanley Lewis, Karthik Desingh +1

Robots working in human environments must be able to perceive and act on challenging objects with articulations, such as a pile of tools. Articulated objects increase the dimension…

cs.HC2019

A Sketch-Based System for Human-Guided Constrained Object Manipulation

Sina Masnadi, Joseph J. LaViola, Xiaofan Zhu +2

In this paper, we present an easy to use sketch-based interface to extract geometries and generate affordance files from 3D point clouds for robot-object interaction tasks. Using o…

cs.RO2018

Factored Pose Estimation of Articulated Objects using Efficient Nonparametric Belief Propagation

Karthik Desingh, Shiyang Lu, Anthony Opipari +1

Robots working in human environments often encounter a wide range of articulated objects, such as tools, cabinets, and other jointed objects. Such articulated objects can take an i…

cs.RO2018

Semantic Mapping with Simultaneous Object Detection and Localization

Zhen Zeng, Yunwen Zhou, Odest Chadwicke Jenkins +1

We present a filtering-based method for semantic mapping to simultaneously detect objects and localize their 6 degree-of-freedom pose. For our method, called Contextual Temporal Ma…