Výsledky vyhledávání - "Vector quantized variational autoencoder"

Erratum: Latent space improved masked reconstruction model for human skeleton-based action recognition

Autoři: Frontiers Production Office

Zdroj: Front Neurorobot
Frontiers in Neurorobotics, Vol 19 (2025)

Témata: self-supervised learning, masked reconstruction model, vector quantized variational autoencoder, variational autoencoder, Neurosciences. Biological psychiatry. Neuropsychiatry, human skeleton-based action recognition, RC321-571, Neuroscience

Přístupová URL adresa: https://doaj.org/article/14b70aa328514a7195a5f6f87b17818d

Latent space improved masked reconstruction model for human skeleton-based action recognition

Autoři: Enqing Chen Xueting Wang Xin Guo a další

Zdroj: Front Neurorobot
Frontiers in Neurorobotics, Vol 19 (2025)

Témata: self-supervised learning, masked reconstruction model, vector quantized variational autoencoder, variational autoencoder, Neurosciences. Biological psychiatry. Neuropsychiatry, human skeleton-based action recognition, RC321-571, Neuroscience

Přístupová URL adresa: https://pubmed.ncbi.nlm.nih.gov/40151415
https://doaj.org/article/65f47d78ba614d8294971e0d8ef11b1f

A Vector Quantized Masked Autoencoder for Speech Emotion Recognition

Autoři: Sadok, Samir Leglaive, Simon Séguier, Renaud

Přispěvatelé: Sadok, Samir Leglaive, Simon Séguier, Renaud

Zdroj: 2023 IEEE International Conference on Acoustics, Speech, and Signal Processing Workshops (ICASSPW). :1-5

Témata: Self-supervised learning, [INFO.INFO-AI] Computer Science [cs]/Artificial Intelligence [cs.AI], FOS: Computer and information sciences, Computer Science - Machine Learning, Sound (cs.SD), masked autoencoder, [INFO.INFO-SD] Computer Science [cs]/Sound [cs.SD], [STAT.ML] Statistics [stat]/Machine Learning [stat.ML], Computer Science - Sound, Machine Learning (cs.LG), vector-quantized variational autoencoder, speech emotion recognition, Audio and Speech Processing (eess.AS), FOS: Electrical engineering, electronic engineering, information engineering, [SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processing, Electrical Engineering and Systems Science - Audio and Speech Processing

Popis souboru: application/pdf

Přístupová URL adresa: http://arxiv.org/abs/2304.11117
https://hal.science/hal-04080024v1/document
https://hal.science/hal-04080024v1

Phase-Aware Speech Enhancement With Complex Wiener Filter

Autoři: Huy Nguyen Tuan Vu Ho Masato Akagi a další

Zdroj: IEEE Access, Vol 11, Pp 141573-141584 (2023)

Témata: spectral fine structure enhancement, noise reduction, vector-quantized variational autoencoder, complex Wiener filter, Speech enhancement, Electrical engineering. Electronics. Nuclear engineering, F0 distribution, TK1-9971

Přístupová URL adresa: https://doaj.org/article/eaaa6b59af1947aa8efd515f9e552272

EM-LAST: Effective Multidimensional Latent Space Transport for an Unpaired Image-to-Image Translation With an Energy-Based Model

Autoři: Giwoong Han Jinhong Min Sung Won Han

Zdroj: IEEE Access, Vol 10, Pp 72839-72849 (2022)

Témata: vector-quantized variational autoencoder, Energy-based model, multidimensional latent space, 0202 electrical engineering, electronic engineering, information engineering, Electrical engineering. Electronics. Nuclear engineering, 02 engineering and technology, image-to-image translation, Langevin dynamics, TK1-9971

Přístupová URL adresa: https://doaj.org/article/bce9e18df16a4ed591a0d324aea9dd5c

PCGen: A Fully Parallelizable Point Cloud Generative Model

Autoři: Nicolas Vercheval Remco Royen Adrian Munteanu a další

Zdroj: Sensors, Vol 24, Iss 5, p 1414 (2024)

Témata: point clouds, autoencoder, variational autoencoder, vector-quantized variational autoencoder, real-time computing, Chemical technology, TP1-1185

Relation: https://www.mdpi.com/1424-8220/24/5/1414; https://doaj.org/toc/1424-8220; https://doaj.org/article/171e3d4821da4f33a3f489c9606a8e2f

Dostupnost: https://doi.org/10.3390/s24051414
https://doaj.org/article/171e3d4821da4f33a3f489c9606a8e2f

End-to-End Image-to-Speech Generation for Untranscribed Unknown Languages

Autoři: Johanes Effendi Sakriani Sakti Satoshi Nakamura a další

Přispěvatelé: Johanes Effendi Sakriani Sakti Satoshi Nakamura a další

Zdroj: IEEE Access, Vol 9, Pp 55144-55154 (2021)

Témata: image captioning, Decoding, Data models, 02 engineering and technology, Speech recognition, Bridges, TK1-9971, vector-quantized variational autoencoder, untranscribed unknown language, Task analysis, Image reconstruction, 0202 electrical engineering, electronic engineering, information engineering, Training, self-supervised speech representation, Electrical engineering. Electronics. Nuclear engineering, Image-to-speech

Přístupová URL adresa: https://ieeexplore.ieee.org/ielx7/6287639/9312710/09398708.pdf
https://doaj.org/article/c338ef671b0948cbb607626237349258
https://dblp.uni-trier.de/db/journals/access/access9.html#EffendiSN21
https://library.naist.jp/dspace/handle/10061/14268
https://ieeexplore.ieee.org/document/9398708

Microstructure Estimation by Combining Deep Learning and Phase Transformation Model

Autoři: Junya Inoue Satoshi Noguchi Syuji Aihara

Zdroj: ISIJ International. 2024, 64(1):142

Microstructure Estimation by Combining Deep Learning and Phase Transformation Model / 深層学習と相変態モデルの融合による微細組織推定

Autoři: Junya Inoue Satoshi Noguchi Syuji Aihara a další

Zdroj: 鉄と鋼 / Tetsu-to-Hagane. 2023, 109(11):898

Vector Quantized Variational Autoencoder-Based Compressive Sampling Method for Time Series in Structural Health Monitoring

Autoři: Ge Liang Zhenglin Ji Qunhong Zhong a další

Zdroj: Sustainability, Vol 15, Iss 14868, p 14868 (2023)

Témata: compressive sampling, deep learning, deep generative models, vector quantized–variational autoencoder, time series, structural health monitoring, Environmental effects of industries and plants, TD194-195, Renewable energy sources, TJ807-830, Environmental sciences, GE1-350

Relation: https://www.mdpi.com/2071-1050/15/20/14868; https://doaj.org/toc/2071-1050; https://doaj.org/article/5d80bf6f12bc45e588c354c5f42ae2ea

Dostupnost: https://doi.org/10.3390/su152014868
https://doaj.org/article/5d80bf6f12bc45e588c354c5f42ae2ea

Unsupervised brain imaging 3D anomaly detection and segmentation with transformers

Autoři: Pinaya, Walter HL Tudosiu, Petru-Daniel Gray, Robert a další

Zdroj: Medical Image Analysis , 79 , Article 102475. (2022)

Témata: Anomaly detection, Transformer, Unsupervised anomaly segmentation, Vector quantized variational autoencoder

Popis souboru: text

Relation: https://discovery.ucl.ac.uk/id/eprint/10149622/

Dostupnost: https://discovery.ucl.ac.uk/id/eprint/10149622/1/1-s2.0-S1361841522001220-main.pdf
https://discovery.ucl.ac.uk/id/eprint/10149622/

Unsupervised brain imaging 3D anomaly detection and segmentation with transformers

Autoři: Walter H.L. Pinaya Petru-Daniel Tudosiu Robert Gray a další

Zdroj: Med Image Anal
Pinaya, W H L, Tudosiu, P-D, Gray, R, Rees, G, Nachev, P, Ourselin, S & Cardoso, M J 2022, ' Unsupervised Brain Imaging 3D Anomaly Detection and Segmentation with Transformers ', Medical Image Analysis, vol. 79, 102475 . https://doi.org/10.1016/j.media.2022.102475

Témata: Unsupervised anomaly segmentation, Transformer, Brain Diseases, 03 medical and health sciences, 0302 clinical medicine, Brain, Humans, Neuroimaging, Anomaly detection, Vector quantized variational autoencoder, Article

Popis souboru: application/pdf

Přístupová URL adresa: https://pubmed.ncbi.nlm.nih.gov/35598520
https://kclpure.kcl.ac.uk/portal/en/publications/e3846faa-95ed-40cb-96a7-ca94c8cce6a1
https://kclpure.kcl.ac.uk/en/publications/e3846faa-95ed-40cb-96a7-ca94c8cce6a1
https://discovery-pp.ucl.ac.uk/id/eprint/10149622/

EVALUATING PERFORMANCE OF GENERATIVE MODELS FOR TIME SERIES SYNTHESIS

Autoři: Haris, Muhammad Junaid

Témata: GAN, Generative Adversarial Network, VQ-VAE, Vector Quantized Variational AutoEncoder, AutoEncoder, VAE, Time Series, Synthesizing, Data Synthesis, Computer Sciences, Datavetenskap (datalogi)

Popis souboru: application/pdf

Dostupnost: http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-63336

Federated Codebook for Multi - User Deep Source Coding

Autoři: CH Park J Choi Jihong Park a další

Témata: machine learning, vector quantized variational autoencoder (VQ-VAE), deep source coding (DeepSC), edge AI

Relation: http://hdl.handle.net/10779/DRO/DU:22124975.v1

Dostupnost: http://hdl.handle.net/10779/DRO/DU:22124975.v1
https://figshare.com/articles/conference_contribution/Federated_Codebook_for_Multi_-_User_Deep_Source_Coding/22124975

Vector-quantized Variational Autoencoder for Phase-aware Speech Enhancement

Autoři: Ho, Tuan Vu Nguyen, Quoc Huy Akagi, Masato a další

Témata: Speech enhancement, vector-quantized variational autoencoder, complex Wiener filter, noise reduction

Popis souboru: application/pdf

Relation: http://hdl.handle.net/10119/18157

Dostupnost: http://hdl.handle.net/10119/18157

Latent space improved masked reconstruction model for human skeleton-based action recognition.

Autoři: Chen E Wang X Guo X a další

Zdroj: Frontiers in neurorobotics [Front Neurorobot] 2025 Feb 12; Vol. 19, pp. 1482281. Date of Electronic Publication: 2025 Feb 12 (Print Publication: 2025).

Způsob vydávání: Journal Article

Informace o časopise: Publisher: Frontiers Research Foundation Country of Publication: Switzerland NLM ID: 101477958 Publication Model: eCollection Cited Medium: Print ISSN: 1662-5218 (Print) Linking ISSN: 16625218 NLM ISO Abbreviation: Front Neurorobot Subsets: PubMed not MEDLINE

Vector-quantized Variational Autoencoder for Phase-aware Speech Enhancement.

Autoři: Nguyen, Quoc Huy Akagi, Masato Unoki, Masashi a další

Témata: Speech enhancement, vector-quantized variational autoencoder, complex Wiener filter, noise reduction, Conference Paper., VoR.

URL: http://hdl.handle.net/10119/18157
https://doi.org/10.21437/Interspeech.2022-443
https://dspace.jaist.ac.jp/dspace/bitstream/10119/18157/1/ho22_interspeech.pdf

Vector-quantized Variational Autoencoder for Phase-aware Speech Enhancement

Autoři: Ho, Tuan Vu Nguyen, Quoc Huy Akagi, Masato a další

Témata: Speech enhancement, vector-quantized variational autoencoder, complex Wiener filter, noise reduction

URL: http://hdl.handle.net/10119/18157
10.21437/Interspeech.2022-443

A multi-step approach for tongue image classification in patients with diabetes.

Autoři: Li J Huang J Jiang T a další

Zdroj: Computers in biology and medicine [Comput Biol Med] 2022 Oct; Vol. 149, pp. 105935. Date of Electronic Publication: 2022 Aug 13.

Způsob vydávání: Journal Article; Research Support, Non-U.S. Gov't

Informace o časopise: Publisher: Elsevier Country of Publication: United States NLM ID: 1250250 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1879-0534 (Electronic) Linking ISSN: 00104825 NLM ISO Abbreviation: Comput Biol Med Subsets: MEDLINE

Výrazy ze slovníku MeSH: Diabetes Mellitus*/diagnostic imaging , Tongue*/diagnostic imaging, Cluster Analysis ; Humans ; Medicine, Chinese Traditional/methods ; Neoplasm Grading

Cross Attention Transformers for Multi-modal Unsupervised Whole-Body PET Anomaly Detection.

Autoři: Patel A Tudosiu PD Pinaya WHL a další

Zdroj: Deep generative models : Second MICCAI Workshop, DGM4MICCAI 2022, held in conjunction with MICCAI 2022, Singapore, September 22, 2022, proceedings. MICCAI Workshop on Deep Generative Models (2nd : 2022 : Singapore) [Deep Gener Model (2022)] 2022; Vol. 13609, pp. 14-23. Date of Electronic Publication: 2022 Oct 08.

Způsob vydávání: Journal Article

Informace o časopise: Country of Publication: Switzerland NLM ID: 9918898841206676 Publication Model: Print-Electronic Cited Medium: Internet NLM ISO Abbreviation: Deep Gener Model (2022) Subsets: PubMed not MEDLINE