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09/15/2023
Human-Inspired Topological Representations for Visual Object Recognition in Unseen Environments
Visual object recognition in unseen and cluttered indoor environments is...
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07/28/2023
A Distance Correlation-Based Approach to Characterize the Effectiveness of Recurrent Neural Networks for Time Series Forecasting
Time series forecasting has received a lot of attention with recurrent n...
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05/05/2023
Persistent Homology Meets Object Unity: Object Recognition in Clutter
Recognition of occluded objects in unseen and unstructured indoor enviro...
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03/07/2023
F2BEV: Bird's Eye View Generation from Surround-View Fisheye Camera Images for Automated Driving
Bird's Eye View (BEV) representations are tremendously useful for percep...
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07/01/2022
Human-Assisted Robotic Detection of Foreign Object Debris Inside Confined Spaces of Marine Vessels Using Probabilistic Mapping
Many complex vehicular systems, such as large marine vessels, contain co...
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05/16/2022
Topologically Persistent Features-based Object Recognition in Cluttered Indoor Environments
Recognition of occluded objects in unseen indoor environments is a chall...
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10/07/2020
Vision-Based Object Recognition in Indoor Environments Using Topologically Persistent Features
Object recognition in unseen indoor environments remains a challenging p...
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08/07/2020
A Multi-Task Learning Approach for Human Action Detection and Ergonomics Risk Assessment
We propose a new approach to Human Action Evaluation (HAE) in long video...
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07/09/2019
Identifying the Influential Inputs for Network Output Variance Using Sparse Polynomial Chaos Expansion
Sensitivity analysis (SA) is an important aspect of process automation. ...
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07/03/2019
Deep Learning-Based Semantic Segmentation of Microscale Objects
Accurate estimation of the positions and shapes of microscale objects is...
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02/24/2019
An Efficient Scheduling Algorithm for Multi-Robot Task Allocation in Assembling Aircraft Structures
Efficient utilization of cooperating robots in the assembly of aircraft ...
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02/14/2019
Predicting Ergonomic Risks During Indoor Object Manipulation Using Spatiotemporal Convolutional Networks
Automated real-time prediction of the ergonomic risks of manipulating ob...
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07/11/2018
A Hierarchical Bayesian Linear Regression Model with Local Features for Stochastic Dynamics Approximation
One of the challenges in model-based control of stochastic dynamical sys...
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11/24/2017
Predicting shim gaps in aircraft assembly with machine learning and sparse sensing
A modern aircraft may require on the order of thousands of custom shims ...
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10/11/2017
A Note on Community Trees in Networks
We introduce the concept of community trees that summarizes topological ...
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01/12/2017