Suchergebnisse - "Vector quantized variational autoencoder"

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

Autoren: Mohammad Diqi Ema Utami Kusrini Kusrini et al.

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

Rapid Object Modeling Initialization for Vector Quantized-Variational AutoEncoder

Autoren: Michael Karnes Alper Yilmaz

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

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

Autoren: Kumar, Naman Singha, Antareep Nanwani, Laksh et al.

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

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

Zugangs-URL: http://arxiv.org/abs/2409.16011

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

Autoren: Mohammad Adiban Kalin Stefanov Sabato Marco Siniscalchi et al.

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

Schlagwörter: 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

Dateibeschreibung: application/pdf

Zugangs-URL: http://arxiv.org/abs/2307.06701
https://hdl.handle.net/10447/672963

Attention-Guided Vector Quantized Variational Autoencoder for Brain Tumor Segmentation

Autoren: Danish Ali Ajmal Mian Naveed Akhtar et al.

Quelle: Lecture Notes in Computer Science ISBN: 9783032049261

Quaternion Vector Quantized Variational Autoencoder

Autoren: Hui Luo Xin Liu Jian Sun et al.

Quelle: 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

Autoren: Zuyan Zhang Jingyan Han Hou-Bin Huan

Quelle: Journal of Circuits, Systems and Computers.

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

Autoren: Yue Zou Zhenhao Li Menghan Zhang et al.

Quelle: Medical Physics. 52

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

Autoren: Kompella, Srihari Kamesh Davaslioglu, Kemal Sagduyu, Yalin E. et al.

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

Schlagwörter: 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)

Zugangs-URL: http://arxiv.org/abs/2410.18283

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

Autoren: Yiyong Xiao Kai Shu Haoyi Zhang et al.

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

Decomposed Vector-Quantized Variational Autoencoder for Human Grasp Generation

Autoren: Zhe Zhao Mengshi Qi Huadong Ma

Quelle: Lecture Notes in Computer Science ISBN: 9783031733963

Schlagwörter: Computer Science - Computer Vision and Pattern Recognition

Zugangs-URL: http://arxiv.org/abs/2407.14062

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

Autoren: Pham, Minh-Tan Gangloff, Hugo Lefèvre, Sébastien et al.

Weitere Verfasser: Pham, Minh-Tan Gangloff, Hugo Lefèvre, Sébastien et al.

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

Schlagwörter: 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

Dateibeschreibung: application/pdf

Zugangs-URL: http://arxiv.org/abs/2307.06720

Vector-Quantized Variational AutoEncoder for pansharpening

Autoren: Farid Talbi Miloud Chikr Elmezouar Elhocine Boutellaa et al.

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

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

Autoren: Qien Yu Shengxin Dai Ran Dong et al.

Quelle: Pattern Recognition. 164:111500

Leveraging Vector-Quantized Variational Autoencoder Inner Metrics for Anomaly Detection

Autoren: Gangloff, Hugo Pham, Minh-Tan Courtrai, Luc et al.

Weitere Verfasser: Gangloff, Hugo Pham, Minh-Tan Courtrai, Luc et al.

Quelle: 2022 26th International Conference on Pattern Recognition (ICPR). :435-441

Schlagwörter: [INFO.INFO-CV] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV], 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Zugangs-URL: https://hal.science/hal-03991178v1
https://doi.org/10.1109/icpr56361.2022.9956102

FactorVQVAE: Discrete latent factor model via Vector Quantized Variational Autoencoder

Autoren: Namhyoung Kim Seung Eun Ock Jae Wook Song

Quelle: Knowledge-Based Systems. 318:113460

Generating High-Quality F0 Embeddings Using the Vector-Quantized Variational Autoencoder

Autoren: David Porteš Aleš Horák

Quelle: Lecture Notes in Computer Science ISBN: 9783031705656

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

Autoren: Kumar, Naman Singha, Antareep Nanwani, Laksh et al.

Index Begriffe: Computer Science - Robotics, Mathematics - Optimization and Control, text

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

Decomposed Vector-Quantized Variational Autoencoder for Human Grasp Generation

Autoren: Zhao, Zhe Qi, Mengshi Ma, Huadong

Index Begriffe: Computer Science - Computer Vision and Pattern Recognition, text

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

Upsampling of compressed financial time-series data using a jointly trained Vector Quantized Variational Autoencoder neural network