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04/29/2023
Learning to Seek: Multi-Agent Online Source Seeking Against Non-Stochastic Disturbances
This paper proposes to leverage the emerging learning techniques and dev...
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04/12/2023
FollowMe: Vehicle Behaviour Prediction in Autonomous Vehicle Settings
An ego vehicle following a virtual lead vehicle planned route is an esse...
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03/07/2022
HAR-GCNN: Deep Graph CNNs for Human Activity Recognition From Highly Unlabeled Mobile Sensor Data
The problem of human activity recognition from mobile sensor data applie...
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03/06/2022
Social-Implicit: Rethinking Trajectory Prediction Evaluation and The Effectiveness of Implicit Maximum Likelihood Estimation
Best-of-N (BoN) Average Displacement Error (ADE)/ Final Displacement Err...
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09/21/2021
Skeleton-Graph: Long-Term 3D Motion Prediction From 2D Observations Using Deep Spatio-Temporal Graph CNNs
Several applications such as autonomous driving, augmented reality and v...
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03/19/2021
Multi-Robot Dynamical Source Seeking in Unknown Environments
This paper presents an algorithmic framework for the distributed on-line...
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06/15/2020
Inner Ensemble Nets
We introduce Inner Ensemble Networks (IENs) which reduce the variance wi...
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02/27/2020
Social-STGCNN: A Social Spatio-Temporal Graph Convolutional Neural Network for Human Trajectory Prediction
Better machine understanding of pedestrian behaviors enables faster prog...
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08/23/2019
Physics Informed Data Driven model for Flood Prediction: Application of Deep Learning in prediction of urban flood development
Flash floods in urban areas occur with increasing frequency. Detecting t...
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08/30/2018
IEA: Inner Ensemble Average within a convolutional neural network
Ensemble learning is a method of combining multiple trained models to im...
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08/04/2018
MCRM: Mother Compact Recurrent Memory
LSTMs and GRUs are the most common recurrent neural network architecture...
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08/04/2018
