Výsledky vyhledávání - vector-quantized variational autoencoder*

Leveraging Vector Quantized Variational Autoencoder for Accurate Synthetic Data Generation in Multivariate Time Series

Autoři: Mohammad Diqi Ema Utami Kusrini Kusrini a další

Zdroj: MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer. 24:423-438

Rapid Object Modeling Initialization for Vector Quantized-Variational AutoEncoder

Autoři: Michael Karnes Alper Yilmaz

Zdroj: 2025 IEEE International Conference on Image Processing (ICIP). :2402-2407

CrowdSurfer: Sampling Optimization Augmented with Vector-Quantized Variational AutoEncoder for Dense Crowd Navigation

Autoři: Kumar, Naman Singha, Antareep Nanwani, Laksh a další

Zdroj: 2025 IEEE International Conference on Robotics and Automation (ICRA). :16854-16860

Témata: FOS: Computer and information sciences, Computer Science - Robotics, Optimization and Control (math.OC), FOS: Mathematics, Mathematics - Optimization and Control, Robotics (cs.RO)

Přístupová URL adresa: http://arxiv.org/abs/2409.16011

S-HR-VQVAE: Sequential Hierarchical Residual Learning Vector Quantized Variational Autoencoder for Video Prediction

Autoři: Mohammad Adiban Kalin Stefanov Sabato Marco Siniscalchi a další

Zdroj: IEEE Transactions on Multimedia. 27:4321-4332

Témata: FOS: Computer and information sciences, Computer Science - Machine Learning, I.2.10, I.4.2, Computer Science - Artificial Intelligence, I.2.6, I.4.5, Computer Vision and Pattern Recognition (cs.CV), Computer Science - Computer Vision and Pattern Recognition, I.4.10, Machine Learning (cs.LG), Hierarchical Modeling, Video Prediction, Artificial Intelligence (cs.AI), Autoregressive Modeling, Settore IINF-05/A - Sistemi di elaborazione delle informazioni

Popis souboru: application/pdf

Přístupová URL adresa: http://arxiv.org/abs/2307.06701
https://hdl.handle.net/10447/672963

Attention-Guided Vector Quantized Variational Autoencoder for Brain Tumor Segmentation

Autoři: Danish Ali Ajmal Mian Naveed Akhtar a další

Zdroj: Lecture Notes in Computer Science ISBN: 9783032049261

Data Augmentation: Synthetic Image Generation for Medical Images Using Vector Quantized Variational Autoencoders

Autoři: Chaitanya Singla Rajat Bhardwaj Nilesh Shelke a další

Zdroj: 2025 3rd International Conference on Disruptive Technologies (ICDT). :1502-1507

Quaternion Vector Quantized Variational Autoencoder

Autoři: Hui Luo Xin Liu Jian Sun a další

Zdroj: IEEE Signal Processing Letters. 32:151-155

Generation of Ocular Anatomy and Disease Images Using Vector Quantized Variational Autoencoder for Image Quality Improvement and Feature Extraction

Autoři: Zuyan Zhang Jingyan Han Hou-Bin Huan

Zdroj: Journal of Circuits, Systems and Computers.

Predicting anatomical variations in radiotherapy with a vector quantized variational autoencoder generative model

Autoři: Yue Zou Zhenhao Li Menghan Zhang a další

Zdroj: Medical Physics. 52

Augmenting Training Data with Vector-Quantized Variational Autoencoder for Classifying RF Signals

Autoři: Kompella, Srihari Kamesh Davaslioglu, Kemal Sagduyu, Yalin E. a další

Zdroj: MILCOM 2024 - 2024 IEEE Military Communications Conference (MILCOM). :1-6

Témata: Computer Science - Networking and Internet Architecture, Networking and Internet Architecture (cs.NI), Signal Processing (eess.SP), FOS: Computer and information sciences, Computer Science - Machine Learning, FOS: Electrical engineering, electronic engineering, information engineering, Electrical Engineering and Systems Science - Signal Processing, Machine Learning (cs.LG)

Přístupová URL adresa: http://arxiv.org/abs/2410.18283

EGGesture: Entropy-Guided Vector Quantized Variational AutoEncoder for Co-Speech Gesture Generation

Autoři: Yiyong Xiao Kai Shu Haoyi Zhang a další

Zdroj: Proceedings of the 32nd ACM International Conference on Multimedia. :6113-6122

SSL-VQ: vector-quantized variational autoencoders for semi-supervised prediction of therapeutic targets across diverse diseases

Autoři: Satoko Namba Chen Li Noriko Yuyama Otani a další

Zdroj: Bioinformatics

Témata: Original Paper, Drug Discovery, Humans, Computational Biology, Supervised Machine Learning, Transcriptome

Přístupová URL adresa: https://pubmed.ncbi.nlm.nih.gov/39880378

Decomposed Vector-Quantized Variational Autoencoder for Human Grasp Generation

Autoři: Zhe Zhao Mengshi Qi Huadong Ma

Zdroj: Lecture Notes in Computer Science ISBN: 9783031733963

Témata: Computer Science - Computer Vision and Pattern Recognition

Přístupová URL adresa: http://arxiv.org/abs/2407.14062

Weakly Supervised Marine Animal Detection from Remote Sensing Images Using Vector-Quantized Variational Autoencoder

Autoři: Pham, Minh-Tan Gangloff, Hugo Lefèvre, Sébastien a další

Přispěvatelé: Pham, Minh-Tan Gangloff, Hugo Lefèvre, Sébastien a další

Zdroj: IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium. :5559-5562

Témata: FOS: Computer and information sciences, aerial remote sensing, weakly-supervised learning, Computer Vision and Pattern Recognition (cs.CV), Computer Science - Computer Vision and Pattern Recognition, 14. Life underwater, Anomaly detection, marine animal monitoring, [SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processing

Popis souboru: application/pdf

Přístupová URL adresa: http://arxiv.org/abs/2307.06720

Aerial View 3D Human Pose Estimation Using Double Vector Quantized-Variational AutoEncoders

Autoři: Juheon Hwang Jiwoo Kang

Zdroj: 2024 IEEE/CVF Winter Conference on Applications of Computer Vision Workshops (WACVW). :341-350

Blind frequency-domain equalization using vector-quantized variational autoencoders

Autoři: Song, Jinxiang Lauinger, Vincent Häger, Christian a další

Zdroj: IET Conference Proceedings. 2023:1222-1225

Témata: Signal Processing (eess.SP), 0508 media and communications, 05 social sciences, FOS: Electrical engineering, electronic engineering, information engineering, Electrical Engineering and Systems Science - Signal Processing

Přístupová URL adresa: http://arxiv.org/abs/2312.16003

366.4-Gbit/s PCS-64QAM THz transmission enhanced by likelihood-aware vector-quantized variational autoencoders

Autoři: X. Liu J. Zhang M. Zhu a další

Zdroj: IET Conference Proceedings. 2023:1154-1157

Vector-Quantized Variational AutoEncoder for pansharpening

Autoři: Farid Talbi Miloud Chikr Elmezouar Elhocine Boutellaa a další

Zdroj: International Journal of Remote Sensing. 44:6329-6349

Attention-based vector quantized variational autoencoder for anomaly detection by using orthogonal subspace constraints

Autoři: Qien Yu Shengxin Dai Ran Dong a další

Zdroj: Pattern Recognition. 164:111500

Modeling Wound Healing Using Vector Quantized Variational Autoencoders and Transformers

Autoři: Backová, Lenka Bengoetxea, Guillermo Rogalla, Svana a další

Přispěvatelé: Backová, Lenka Bengoetxea, Guillermo Rogalla, Svana a další

Zdroj: Digital.CSIC. Repositorio Institucional del CSIC
Consejo Superior de Investigaciones Científicas (CSIC)

Témata: Video prediction, Wound healing, Deep learning, 3. Good health

Přístupová URL adresa: http://hdl.handle.net/10261/352620