Deep Convolutional Neural Networks for Multi-Target Tracking: A Transfer Learning Approach. - Damian Owerko; Charilaos I. Kanatsoulis; Alejandro Ribeiro; Donald J. Bucci Jr.; Jennifer Bondarchuk (CoRR, 2022)

Multi-Target Tracking with Transferable Convolutional Neural Networks. - Damian Owerko; Charilaos I. Kanatsoulis; Jennifer Bondarchuk; Donald J. Bucci; Alejandro Ribeiro (CAMSAP, 2023)

Deterministic Multi-sensor Measurement-adaptive Birth using Labeled Random Finite Sets. - Jennifer Bondarchuk; Anthony Trezza; Donald J. Bucci (FUSION, 2023)

Transferability of Convolutional Neural Networks in Stationary Learning Tasks. - Damian Owerko; Charilaos I. Kanatsoulis; Jennifer Bondarchuk; Donald J. Bucci Jr.; Alejandro Ribeiro (CoRR, 2023)

Efficient Implementation of Multi-sensor Adaptive Birth Samplers for Labeled Random Finite Set Tracking. - Jennifer Bondarchuk; Anthony Trezza; Donald J. Bucci (FUSION, 2024)