Výsledky vyhledávání - Transformer-based conditional variational AutoEncoder

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    Cybersecurity enhancement using conditional generative adversarial network with transformer-based conditional variational autoencoder Autor Singh, Prithvipal, Singh, Sandeep, Singh, Gurupdesh, Singh, Amritpal

    ISSN: 0952-1976
    Vydáno: Elsevier Ltd 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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    Journal Article
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    Anomaly detection in KOMAC high-power systems using transformer-based conditional variational autoencoder Autor Kim, Gi-Hu, Jeong, Hae-Seong, Kim, Han-Sung, Kwon, Hyeok-Jung, Kim, Dong-Hwan

    ISSN: 0374-4884, 1976-8524
    Vydáno: Seoul 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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    Journal Article
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    Trans-cVAE-GAN: Transformer-Based cVAE-GAN for High-Fidelity EEG Signal Generation Autor Yao, Yiduo, Wang, Xiao, Hao, Xudong, Sun, Hongyu, Dong, Ruixin, Li, Yansheng

    ISSN: 2306-5354, 2306-5354
    Vydáno: Switzerland MDPI AG 26.09.2025
    Vydáno 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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    Journal Article
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    Transformer-based Conditional Variational Autoencoder for Controllable Story Generation Autor Le, Fang, Zeng, Tao, Liu, Chaochun, Liefeng Bo, Dong, Wen, Chen, Changyou

    ISSN: 2331-8422
    Vydáno: Ithaca Cornell University Library, arXiv.org 08.07.2021
    Vydáno v arXiv.org (08.07.2021)
    “…: generation effectiveness and controllability. LVMs, especially the variational autoencoder (VAE…”
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    Paper
  5. 5

    Generating diverse clothed 3D human animations via a generative model Autor Shi, Min, Feng, Wenke, Gao, Lin, Zhu, Dengming

    ISSN: 2096-0433, 2096-0662
    Vydáno: Beijing Tsinghua University Press 01.04.2024
    Vydáno 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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    Journal Article
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    Improving Multi-agent Trajectory Prediction using Traffic States on Interactive Driving Scenarios Autor Vishnu, Chalavadi, Abhinav, Vineel, Roy, Debaditya, Mohan, C. Krishna, Babu, Ch. Sobhan

    ISSN: 2377-3766, 2377-3766
    Vydáno: Piscataway IEEE 01.05.2023
    Vydáno v IEEE robotics and automation letters (01.05.2023)
    “…Predicting trajectories of multiple agents in interactive driving scenarios such as intersections, and roundabouts are challenging due to the high density of…”
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    Journal Article
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    Generating neural architectures from parameter spaces for multi-agent reinforcement learning Autor Artaud, Corentin, De-Silva, Varuna, Pina, Rafael, Shi, Xiyu

    ISSN: 0167-8655
    Vydáno: Elsevier B.V 01.09.2024
    Vydáno v Pattern recognition letters (01.09.2024)
    “… In particular, our generative model is a conditional transformer-based variational autoencoder that, when provided with random noise and a specified performance metric…”
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    Journal Article
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    Multistep Intent Estimation Guided Adaptive Passive Control for Safety-Aware Physical Human-Robot Collaboration Autor Liu, Haotian, Zhang, Zhengtao, Tong, Yuchuang, Ju, Zhaojie

    ISSN: 2168-2267, 2168-2275, 2168-2275
    Vydáno: United States IEEE 10.10.2025
    Vydáno v IEEE transactions on cybernetics (10.10.2025)
    “… Specifically, the outer loop incorporates a transformer-based human intent estimator (THIE) that integrates the Transformer with a conditional variational autoencoder (CVAE…”
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    Journal Article
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    Distributional Drift Adaptation With Temporal Conditional Variational Autoencoder for Multivariate Time Series Forecasting Autor He, Hui, Zhang, Qi, Yi, Kun, Shi, Kaize, Niu, Zhendong, Cao, Longbing

    ISSN: 2162-237X, 2162-2388, 2162-2388
    Vydáno: United States IEEE 01.04.2025
    “… Accordingly, we propose a novel framework temporal conditional variational autoencoder (TCVAE) to model the dynamic distributional dependencies over time…”
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    Journal Article
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    Unsupervised Multivariate Time Series Anomaly Detection via Transformer-Based Models and Time Series Encoding Autor Duan, Tinglin

    ISBN: 9798534656138
    Vydáno: ProQuest Dissertations & Theses 01.01.2021
    “… For the point-based approach, one novel Transformer-based model: Transformer Conditional Variational Autoencoder (T-CVAE…”
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    Dissertation
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    Emotional Dialogue Generation Based on Transformer and Conditional Variational Autoencoder Autor Lin, Hongquan, Deng, Zhenrong

    Vydáno: IEEE 01.12.2022
    “… emotional factors relatively little. Aiming at the shortcomings of existing methods, an emotional dialogue generation model based on Transformer and conditional variational autoencoder(CVAE…”
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    Konferenční příspěvek
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    SignAvatar: Sign Language 3D Motion Reconstruction and Generation Autor Dong, Lu, Chaudhary, Lipisha, Xu, Fei, Wang, Xiao, Lary, Mason, Nwogu, Ifeoma

    ISSN: 2770-8330
    Vydáno: IEEE 27.05.2024
    “… SignAvatar employs a transformer-based conditional variational autoencoder architecture, effectively establishing relationships across different semantic modalities…”
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    Konferenční příspěvek
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    DCTFormer: A Dual-Branch Transformer With Cloze Tests for Video Anomaly Detection Autor Chen, Pengzhan, Du, Shengdong, Zhao, Xiaole, Hu, Jie, Li, Jingjing, Li, Tianrui

    ISSN: 1520-9210, 1941-0077
    Vydáno: IEEE 2025
    “… Firstly, we design a novel module TRAECT (Transformer-based Residual Autoencoder with Cloze Tests…”
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    Journal Article
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    EmoMusicTV: Emotion-conditioned Symbolic Music Generation with Hierarchical Transformer VAE Autor Ji, Shulei, Yang, Xinyu

    ISSN: 1520-9210, 1941-0077
    Vydáno: Piscataway IEEE 01.01.2024
    Vydáno v IEEE transactions on multimedia (01.01.2024)
    “… In particular, no study explores conditional music generation with the guidance of emotion, and few studies adopt time-varying emotional conditions…”
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    Journal Article
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    Recurrence Boosts Diversity! Revisiting Recurrent Latent Variable in Transformer-Based Variational AutoEncoder for Diverse Text Generation Autor Hu, Jinyi, Yi, Xiaoyuan, Li, Wenhao, Sun, Maosong, Xie, Xing

    ISSN: 2331-8422
    Vydáno: Ithaca Cornell University Library, arXiv.org 23.11.2022
    Vydáno v arXiv.org (23.11.2022)
    “… In this work, we propose TRACE, a Transformer-based recurrent VAE structure. TRACE imposes recurrence on segment-wise latent variables with arbitrarily separated text segments and constructs the posterior distribution with residual parameterization…”
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    Paper
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    A Comparative Study of Video-Based Human Representations for American Sign Language Alphabet Generation Autor Xu, Fei, Chaudhary, Lipisha, Dong, Lu, Setlur, Srirangaraj, Govindaraju, Venu, Nwogu, Ifeoma

    ISSN: 2770-8330
    Vydáno: IEEE 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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    Konferenční příspěvek
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    GSC-DVIT: A vision transformer based deep learning model for lung cancer classification in CT images Autor Mannepalli, Durgaprasad, Kuan Tak, Tan, Bala Krishnan, Sivaneasan, Sreenivas, Velagapudi

    ISSN: 1746-8094
    Vydáno: Elsevier Ltd 01.05.2025
    “…•For extracting deep features with low dimensionality parameters, Conditional Variational Autoencoder (CVA) model is used…”
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    Journal Article
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    Transformer-based image generation from scene graphs Autor Sortino, Renato, Palazzo, Simone, Rundo, Francesco, Spampinato, Concetto

    ISSN: 1077-3142, 1090-235X
    Vydáno: Elsevier Inc 01.08.2023
    “… In this work, we show how employing multi-head attention to encode the graph information, as well as using a transformer-based model in the latent space for image generation can improve the quality…”
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    Journal Article
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    Co-Salient Object Detection with Uncertainty-Aware Group Exchange-Masking Autor Wu, Yang, Song, Huihui, Liu, Bo, Zhang, Kaihua, Liu, Dong

    ISSN: 1063-6919
    Vydáno: IEEE 01.06.2023
    “…The traditional definition of co-salient object detection (CoSOD) task is to segment the common salient objects in a group of relevant images. Existing CoSOD…”
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