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06/29/2021
RICE: Refining Instance Masks in Cluttered Environments with Graph Neural Networks
Segmenting unseen object instances in cluttered environments is an impor...
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04/17/2021
FiG-NeRF: Figure-Ground Neural Radiance Fields for 3D Object Category Modelling
We investigate the use of Neural Radiance Fields (NeRF) to learn high qu...
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09/28/2020
Amodal 3D Reconstruction for Robotic Manipulation via Stability and Connectivity
Learning-based 3D object reconstruction enables single- or few-shot esti...
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07/30/2020
Learning RGB-D Feature Embeddings for Unseen Object Instance Segmentation
Segmenting unseen objects in cluttered scenes is an important skill that...
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07/16/2020
Unseen Object Instance Segmentation for Robotic Environments
In order to function in unstructured environments, robots need the abili...
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07/30/2019
The Best of Both Modes: Separately Leveraging RGB and Depth for Unseen Object Instance Segmentation
In order to function in unstructured environments, robots need the abili...
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12/06/2018
Object Discovery in Videos as Foreground Motion Clustering
We consider the problem of providing dense segmentation masks for object...
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10/23/2017
A Unified Framework for Long Range and Cold Start Forecasting of Seasonal Profiles in Time Series
Providing long-range forecasts is a fundamental challenge in time series...
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11/08/2016