Výsledky vyhľadávania - "Transformer-based conditional variational AutoEncoder"
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Cybersecurity enhancement using conditional generative adversarial network with transformer-based conditional variational autoencoder
ISSN: 0952-1976Vydavateľské údaje: Elsevier Ltd 12.12.2025Vydané v Engineering applications of artificial intelligence (12.12.2025)“…Since, Artificial Intelligence is highly developing and concatenating into several domains, cybersecurity is an important field of delivering both the…”
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Anomaly detection in KOMAC high-power systems using transformer-based conditional variational autoencoder
ISSN: 0374-4884, 1976-8524Vydavateľské údaje: Seoul The Korean Physical Society 01.10.2025Vydané v Journal of the Korean Physical Society (01.10.2025)“…This study applies a transformer-based conditional variational autoencoder (T-CVAE) model for anomaly detection in pulse waveform signals from the High Voltage Converter Modulator…”
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Transformer-based Conditional Variational Autoencoder for Controllable Story Generation
ISSN: 2331-8422Vydavateľské údaje: Ithaca Cornell University Library, arXiv.org 08.07.2021Vydané v arXiv.org (08.07.2021)“…We investigate large-scale latent variable models (LVMs) for neural story generation -- an under-explored application for open-domain long text -- with…”
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Generating diverse clothed 3D human animations via a generative model
ISSN: 2096-0433, 2096-0662Vydavateľské údaje: Beijing Tsinghua University Press 01.04.2024Vydané v Computational visual media (Beijing) (01.04.2024)“… At the heart of our method is a two-stage strategy. Specifically, we first learn a latent space encoding the sequence-level distribution of human motions utilizing a transformer-based conditional variational autoencoder (Transformer-CVAE…”
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Trans-cVAE-GAN: Transformer-Based cVAE-GAN for High-Fidelity EEG Signal Generation
ISSN: 2306-5354, 2306-5354Vydavateľské údaje: Switzerland MDPI AG 26.09.2025Vydané v Bioengineering (Basel) (26.09.2025)“…, limiting their effectiveness in emotion-related applications. To address these challenges, this research proposes a Transformer-based conditional variational autoencoder…”
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SignAvatar: Sign Language 3D Motion Reconstruction and Generation
ISSN: 2770-8330Vydavateľské údaje: IEEE 27.05.2024Vydané v IEEE International Conference and Workshops on Automatic Face and Gesture Recognition : FG (27.05.2024)“… SignAvatar employs a transformer-based conditional variational autoencoder architecture, effectively establishing relationships across different semantic modalities…”
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A Comparative Study of Video-Based Human Representations for American Sign Language Alphabet Generation
ISSN: 2770-8330Vydavateľské údaje: IEEE 27.05.2024Vydané v IEEE International Conference and Workshops on Automatic Face and Gesture Recognition : FG (27.05.2024)“…Sign language is a complex visual language, and automatic interpretations of sign language can facilitate communication involving deaf individuals. As one of…”
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SignAvatar: Sign Language 3D Motion Reconstruction and Generation
ISSN: 2331-8422Vydavateľské údaje: Ithaca Cornell University Library, arXiv.org 07.12.2024Vydané v arXiv.org (07.12.2024)“… SignAvatar employs a transformer-based conditional variational autoencoder architecture, effectively establishing relationships across different semantic modalities…”
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Pre-trained Visual Dynamics Representations for Efficient Policy Learning
ISSN: 2331-8422Vydavateľské údaje: Ithaca Cornell University Library, arXiv.org 05.11.2024Vydané v arXiv.org (05.11.2024)“… By adopting video prediction as a pre-training task, we use a Transformer-based Conditional Variational Autoencoder (CVAE…”
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Composed Variational Natural Language Generation for Few-shot Intents
ISSN: 2331-8422Vydavateľské údaje: Ithaca Cornell University Library, arXiv.org 21.09.2020Vydané v arXiv.org (21.09.2020)“…), a transformer-based conditional variational autoencoder. CLANG utilizes two latent variables to represent the utterances corresponding to two different independent parts (domain and action…”
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DTRT: Enhancing Human Intent Estimation and Role Allocation for Physical Human-Robot Collaboration
Vydavateľské údaje: IEEE 19.05.2025Vydané v 2025 IEEE International Conference on Robotics and Automation (ICRA) (19.05.2025)“… adjustments for effective collaboration. Specifically, human intent estimation in DTRT uses two Transformer-based Conditional Variational Autoencoders (CVAEs…”
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