Search Results for author:
Found 11 papers, 8 papers with code
SoPhAr: Solar Phased-Arrays to boost the range of electric, hydrogen and SAF airliners in a solar world
In late 2022, ICAO member states adopted a long-term global aspirational goal (LTAG) to achieve net zero carbon emissions from international aviation by 2050.
Learning to Seek: Multi-Agent Online Source Seeking Against Non-Stochastic Disturbances
This paper proposes to leverage the emerging~learning techniques and devise a multi-agent online source {seeking} algorithm under unknown environment.
FollowMe: Vehicle Behaviour Prediction in Autonomous Vehicle Settings
Yet, there is a question about the driver's ability to follow the planned lead vehicle route.
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 applies to multiple domains, such as health monitoring, personal fitness, daily life logging, and senior care.
Social-Implicit: Rethinking Trajectory Prediction Evaluation and The Effectiveness of Implicit Maximum Likelihood Estimation
AMD is a metric that quantifies how close the whole generated samples are to the ground truth.
Ranked #1 on
Trajectory Prediction
on Stanford Drone
(ADE (in world coordinates) metric)
Skeleton-Graph: Long-Term 3D Motion Prediction From 2D Observations Using Deep Spatio-Temporal Graph CNNs
We propose Skeleton-Graph, a deep spatio-temporal graph CNN model that predicts the future 3D skeleton poses in a single pass from the 2D ones.
Ranked #1 on
Trajectory Prediction
on PROX
Inner Ensemble Networks: Average Ensemble as an Effective Regularizer
Also, we show empirically and theoretically that IENs lead to a greater variance reduction in comparison with other similar approaches such as dropout and maxout.
Social-STGCNN: A Social Spatio-Temporal Graph Convolutional Neural Network for Human Trajectory Prediction
Better machine understanding of pedestrian behaviors enables faster progress in modeling interactions between agents such as autonomous vehicles and humans.
Ranked #3 on
Trajectory Prediction
on ETH
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.
IEA: Inner Ensemble Average within a convolutional neural network
Ensemble learning is a method of combining multiple trained models to improve model accuracy.
MCRM: Mother Compact Recurrent Memory
MCRMs are a type of a nested LSTM-GRU architecture where the cell state is the GRU hidden state.
