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Generative adversarial networks: introduction and outlook.

, , , , , and . IEEE CAA J. Autom. Sinica, 4 (4): 588-598 (2017)

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M4CD: A Robust Change Detection Method for Intelligent Visual Surveillance., , and . CoRR, (2018)Meta-learning meets the Internet of Things: Graph prototypical models for sensor-based human activity recognition., , , and . Inf. Fusion, (2022)Cascade Learning for Driver Facial Monitoring., , , , and . IEEE Trans. Intell. Veh., 8 (1): 404-412 (January 2023)Fusion of forehead EEG with machine vision for real-time fatigue detection in an automatic processing pipeline., , , , and . Neural Comput. Appl., 35 (12): 8859-8872 (April 2023)Learning from the Past: Meta-Continual Learning with Knowledge Embedding for Jointly Sketch, Cartoon, and Caricature Face Recognition., , , and . ACM Multimedia, page 736-743. ACM, (2020)Learning from the Negativity: Deep Negative Correlation Meta-Learning for Adversarial Image Classification., , , and . MMM (1), volume 12572 of Lecture Notes in Computer Science, page 531-540. Springer, (2021)Controllable Diffusion Models for Safety-Critical Driving Scenario Generation., , and . ICTAI, page 717-722. IEEE, (2023)MS-GCN: Multi-Stream Graph Convolution Network for Driver Head Pose Estimation., , , and . ITSC, page 3819-3824. IEEE, (2022)Cascaded learning with transformer for simultaneous eye landmark, eye state and gaze estimation., , , , and . Pattern Recognit., (2024)Sora-Based Parallel Vision for Smart Sensing of Intelligent Vehicles: From Foundation Models to Foundation Intelligence., , , , , and . IEEE Trans. Intell. Veh., 9 (2): 3123-3126 (February 2024)