DifFAR: Differentiable Frequency-based Disentanglement for Aerial Video Action Recognition

Author:

Kothandaraman Divya1,Lin Ming1,Manocha Dinesh1

Affiliation:

1. University of Maryland,College Park

Publisher

IEEE

Reference52 articles.

1. Differentiable simulation of soft multi-body systems;qiao;Advances in neural information processing systems,2021

2. Two Stream LSTM: A Deep Fusion Framework for Human Action Recognition

3. Fourier disentangled space-time attention for aerial video recognition;kothandaraman;ArXiv Preprint,2022

4. Differentiable Fluids with Solid Coupling for Learning and Control

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1. Real-time human action recognition from aerial videos using autozoom and synthetic data;Synthetic Data for Artificial Intelligence and Machine Learning: Tools, Techniques, and Applications II;2024-06-07

2. PMI Sampler: Patch Similarity Guided Frame Selection For Aerial Action Recognition;2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV);2024-01-03

3. UAV-Based IoT Applications for Action Recognition;Advances in Information Security;2023-10-10

4. A Survey on Applications of Unmanned Aerial Vehicles Using Machine Learning;IEEE Access;2023

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