Search Results - Transformer-based conditional variational AutoEncoder

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

“…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 by Kim, Gi-Hu, Jeong, Hae-Seong, Kim, Han-Sung, Kwon, Hyeok-Jung, Kim, Dong-Hwan

“…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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Trans-cVAE-GAN: Transformer-Based cVAE-GAN for High-Fidelity EEG Signal Generation by Yao, Yiduo, Wang, Xiao, Hao, Xudong, Sun, Hongyu, Dong, Ruixin, Li, Yansheng

“…, limiting their effectiveness in emotion-related applications. To address these challenges, this research proposes a Transformer-based conditional variational autoencoder…”
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Transformer-based Conditional Variational Autoencoder for Controllable Story Generation by Le, Fang, Zeng, Tao, Liu, Chaochun, Liefeng Bo, Dong, Wen, Chen, Changyou

“…: generation effectiveness and controllability. LVMs, especially the variational autoencoder (VAE…”
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Generating diverse clothed 3D human animations via a generative model by Shi, Min, Feng, Wenke, Gao, Lin, Zhu, Dengming

“… 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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ProT-VAE: Protein Transformer Variational AutoEncoder for functional protein design by Sevgen, Emre, Moller, Joshua, Lange, Adrian, Parker, John, Quigley, Sean, Mayer, Jeff, Srivastava, Poonam, Gayatri, Sitaram, Hosfield, David, Dilks, Clayton, Buchanan, Claire, Speltz, Thomas, Korshunova, Maria, Livne, Micha, Gill, Michelle, Ranganathan, Rama, Costa, Anthony B, Ferguson, Andrew L

“… for conditional sequence design with the expressive, alignment-free featurization offered by transformer-based protein language models…”
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Improving Multi-agent Trajectory Prediction using Traffic States on Interactive Driving Scenarios by Vishnu, Chalavadi, Abhinav, Vineel, Roy, Debaditya, Mohan, C. Krishna, Babu, Ch. Sobhan

“…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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Generating neural architectures from parameter spaces for multi-agent reinforcement learning by Artaud, Corentin, De-Silva, Varuna, Pina, Rafael, Shi, Xiyu

“… 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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Multistep Intent Estimation Guided Adaptive Passive Control for Safety-Aware Physical Human-Robot Collaboration by Liu, Haotian, Zhang, Zhengtao, Tong, Yuchuang, Ju, Zhaojie

“… 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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Distributional Drift Adaptation With Temporal Conditional Variational Autoencoder for Multivariate Time Series Forecasting by He, Hui, Zhang, Qi, Yi, Kun, Shi, Kaize, Niu, Zhendong, Cao, Longbing

“… Accordingly, we propose a novel framework temporal conditional variational autoencoder (TCVAE) to model the dynamic distributional dependencies over time…”
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Unsupervised Multivariate Time Series Anomaly Detection via Transformer-Based Models and Time Series Encoding by Duan, Tinglin

“… For the point-based approach, one novel Transformer-based model: Transformer Conditional Variational Autoencoder (T-CVAE…”
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Emotional Dialogue Generation Based on Transformer and Conditional Variational Autoencoder by Lin, Hongquan, Deng, Zhenrong

“… 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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SignAvatar: Sign Language 3D Motion Reconstruction and Generation by Dong, Lu, Chaudhary, Lipisha, Xu, Fei, Wang, Xiao, Lary, Mason, Nwogu, Ifeoma

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

“… Firstly, we design a novel module TRAECT (Transformer-based Residual Autoencoder with Cloze Tests…”
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EmoMusicTV: Emotion-conditioned Symbolic Music Generation with Hierarchical Transformer VAE by Ji, Shulei, Yang, Xinyu

“… 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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Recurrence Boosts Diversity! Revisiting Recurrent Latent Variable in Transformer-Based Variational AutoEncoder for Diverse Text Generation by Hu, Jinyi, Yi, Xiaoyuan, Li, Wenhao, Sun, Maosong, Xie, Xing

“… 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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A Comparative Study of Video-Based Human Representations for American Sign Language Alphabet Generation by Xu, Fei, Chaudhary, Lipisha, Dong, Lu, Setlur, Srirangaraj, Govindaraju, Venu, Nwogu, Ifeoma

“…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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GSC-DVIT: A vision transformer based deep learning model for lung cancer classification in CT images by Mannepalli, Durgaprasad, Kuan Tak, Tan, Bala Krishnan, Sivaneasan, Sreenivas, Velagapudi

“…•For extracting deep features with low dimensionality parameters, Conditional Variational Autoencoder (CVA) model is used…”
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Transformer-based image generation from scene graphs by Sortino, Renato, Palazzo, Simone, Rundo, Francesco, Spampinato, Concetto

“… 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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Co-Salient Object Detection with Uncertainty-Aware Group Exchange-Masking by Wu, Yang, Song, Huihui, Liu, Bo, Zhang, Kaihua, Liu, Dong

“…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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