Cover Image

Multi-Target Tracking with Transferable Convolutional Neural Networks

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Owerko, Damian, Kanatsoulis, Charilaos I., Bondarchuk, Jennifer, Bucci Jr, Donald J., Ribeiro, Alejandro
Format:	Preprint
Published:	2022
Subjects:	Signal Processing Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Solving Large-scale Spatial Problems with Convolutional Neural Networks
by: Owerko, Damian, et al.
Published: (2023)

Efficient Implementation of Multi-sensor Adaptive Birth Samplers for Labeled Random Finite Set Tracking
by: Bondarchuk, Jennifer, et al.
Published: (2025)

T-GAE: Transferable Graph Autoencoder for Network Alignment
by: He, Jiashu, et al.
Published: (2023)

Convolutional Filtering with RKHS Algebras
by: Parada-Mayorga, Alejandro, et al.
Published: (2024)

The Transferability of Downsamped Sparse Graph Convolutional Networks
by: Shu, Qinji, et al.
Published: (2024)

Binarized Simplicial Convolutional Neural Networks
by: Yan, Yi, et al.
Published: (2024)

Generalization of Graph Neural Networks is Robust to Model Mismatch
by: Wang, Zhiyang, et al.
Published: (2024)

Generalization of Geometric Graph Neural Networks with Lipschitz Loss Functions
by: Wang, Zhiyang, et al.
Published: (2024)

Detecting train driveshaft damages using accelerometer signals and Differential Convolutional Neural Networks
by: Galdo, Antía López, et al.
Published: (2022)

Transferable Graphical MARL for Real-Time Estimation in Dynamic Wireless Networks
by: Chen, Xingran, et al.
Published: (2024)

Generalizability of Graph Neural Networks for Decentralized Unlabeled Motion Planning
by: Muthusamy, Shreyas, et al.
Published: (2024)

On the Stability of Graph Convolutional Neural Networks: A Probabilistic Perspective
by: Zhang, Ning, et al.
Published: (2025)

The use of Multi-domain Electroencephalogram Representations in the building of Models based on Convolutional and Recurrent Neural Networks for Epilepsy Detection
by: Anghinoni, Luiz Antonio Nicolau, et al.
Published: (2025)

Decentralized Learning Strategies for Estimation Error Minimization with Graph Neural Networks
by: Chen, Xingran, et al.
Published: (2026)

Angle-Equivariant Convolutional Neural Networks for Interference Mitigation in Automotive Radar
by: Oswald, Christian, et al.
Published: (2023)

Distributed Training of Large Graph Neural Networks with Variable Communication Rates
by: Cervino, Juan, et al.
Published: (2024)

Tangent Bundle Convolutional Learning: from Manifolds to Cellular Sheaves and Back
by: Battiloro, Claudio, et al.
Published: (2023)

Track-MDP: Reinforcement Learning for Target Tracking with Controlled Sensing
by: Subramaniam, Adarsh M., et al.
Published: (2024)

Reciprocity-Aware Convolutional Neural Networks for Map-Based Path Loss Prediction
by: Dempsey, Ryan G., et al.
Published: (2025)

Joint Multi-Target Detection-Tracking in Cognitive Massive MIMO Radar via POMCP
by: Bouhou, Imad, et al.
Published: (2025)

Parseval Convolution Operators and Neural Networks
by: Unser, Michael, et al.
Published: (2024)

Map-Based Path Loss Prediction in Multiple Cities Using Convolutional Neural Networks
by: Dempsey, Ryan G., et al.
Published: (2024)

Robust Stochastically-Descending Unrolled Networks
by: Hadou, Samar, et al.
Published: (2023)

Investigating Map-Based Path Loss Models: A Study of Feature Representations in Convolutional Neural Networks
by: Dempsey, Ryan G., et al.
Published: (2025)

Directed Acyclic Graph Convolutional Networks
by: Rey, Samuel, et al.
Published: (2025)

Explainable Brain Age Gap Prediction in Neurodegenerative Conditions using coVariance Neural Networks
by: Sihag, Saurabh, et al.
Published: (2025)

Graph Convolutional Neural Networks to Model the Brain for Insomnia
by: Monteiro, Kevin, et al.
Published: (2025)

Convolutional Proximal Neural Networks and Plug-and-Play Algorithms
by: Hertrich, Johannes, et al.
Published: (2020)

Data-Driven Prediction and Uncertainty Quantification of PWR Crud-Induced Power Shift Using Convolutional Neural Networks
by: Furlong, Aidan, et al.
Published: (2024)

Learning Efficient Positional Encodings with Graph Neural Networks
by: Kanatsoulis, Charilaos I., et al.
Published: (2025)

Purification Of Contaminated Convolutional Neural Networks Via Robust Recovery: An Approach with Theoretical Guarantee in One-Hidden-Layer Case
by: Lu, Hanxiao, et al.
Published: (2024)

A Contrastive Learning Based Convolutional Neural Network for ERP Brain-Computer Interfaces
by: Cui, Yuntian, et al.
Published: (2024)

Graph Neural Networks for Resource Allocation in Multi-Channel Wireless Networks
by: Chen, Lili, et al.
Published: (2025)

Decentralised Variational Inference Frameworks for Multi-object Tracking on Sensor Networks: Additional Notes
by: Li, Qing, et al.
Published: (2024)

GCN-RL Circuit Designer: Transferable Transistor Sizing with Graph Neural Networks and Reinforcement Learning
by: Wang, Hanrui, et al.
Published: (2020)

EEG Decoding for Datasets with Heterogenous Electrode Configurations using Transfer Learning Graph Neural Networks
by: Han, Jinpei, et al.
Published: (2023)

Sampling and Uniqueness Sets in Graphon Signal Processing
by: Parada-Mayorga, Alejandro, et al.
Published: (2024)

Wearable-based Fair and Accurate Pain Assessment Using Multi-Attribute Fairness Loss in Convolutional Neural Networks
by: Zhu, Yidong, et al.
Published: (2023)

Generative Diffusion Models for Resource Allocation in Wireless Networks
by: Uslu, Yigit Berkay, et al.
Published: (2025)

On the Optimality of Single-label and Multi-label Neural Network Decoders
by: Gültekin, Yunus Can, et al.
Published: (2025)