Search Results - Quantized autoencoder*

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

Authors: Mohammad Diqi Ema Utami Kusrini Kusrini et al.

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

CLIP-FSQAE: Clip-Guided Finite Scalar Quantized Autoencoder for Few-Shot Anomaly Detection

Authors: Shih-Chih Lin Shang-Hong Lai

Source: 2025 IEEE International Conference on Image Processing (ICIP). :313-318

Rapid Object Modeling Initialization for Vector Quantized-Variational AutoEncoder

Authors: Michael Karnes Alper Yilmaz

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

Hierarchical Vector Quantized Graph Autoencoder with Annealing-Based Code Selection

Authors: Long Zeng Jianxiang Yu Jiapeng Zhu et al.

Source: Proceedings of the ACM on Web Conference 2025. :3772-3782

Subject Terms: FOS: Computer and information sciences, Computer Science - Machine Learning, Machine Learning (cs.LG)

Access URL: http://arxiv.org/abs/2504.12715

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

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

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

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

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

Avoiding Domain Drift and Constant Predictions with Diffusion Enhanced Vector-Quantized Autoencoders for Temperature Predictions

Authors: Nina Lampl João Machado de Freitas Alexander Fuchs et al.

Source: ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). :1-5

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

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

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

Subject Terms: 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

File Description: application/pdf

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

Attention-Guided Vector Quantized Variational Autoencoder for Brain Tumor Segmentation

Authors: Danish Ali Ajmal Mian Naveed Akhtar et al.

Source: Lecture Notes in Computer Science ISBN: 9783032049261

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

Authors: Chaitanya Singla Rajat Bhardwaj Nilesh Shelke et al.

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

Frequency-Quantized Variational Autoencoder Based on 2D-FFT for Enhanced Image Reconstruction and Generation

Authors: Jianxin Feng Xiaoyao Liu

Source: Computers, Materials & Continua. 83:2087-2107

Use of ResNet Autoencoders for Designing Phase-Quantized Sequences With Good Correlation for MIMO Radar Systems

Authors: Ryota Sekiya Hiroki Mori Hiromi Hashimoto et al.

Source: IEEE Transactions on Radar Systems. 3:681-694

Quaternion Vector Quantized Variational Autoencoder

Authors: Hui Luo Xin Liu Jian Sun et al.

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

A Vector Quantized Masked Autoencoder for Speech Emotion Recognition

Authors: Sadok, Samir Leglaive, Simon Séguier, Renaud

Contributors: Sadok, Samir Leglaive, Simon Séguier, Renaud

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

Subject Terms: 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

File Description: application/pdf

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

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

Authors: Zuyan Zhang Jingyan Han Hou-Bin Huan

Source: Journal of Circuits, Systems and Computers.

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

Authors: Yue Zou Zhenhao Li Menghan Zhang et al.

Source: Medical Physics. 52

Research on Reconstruction Method of Occluded Micro-Expressions Based on Quantized Denoising Autoencoder

Authors: LIU Hui, GUO Te, LIU Dong, LI Yingying

Source: Jisuanji gongcheng, Vol 51, Iss 5, Pp 288-304 (2025)

Subject Terms: occluded micro-expression recognition, feature reconstruction, optical flow, dynamic image, denoising autoencoder, Computer engineering. Computer hardware, TK7885-7895, Computer software, QA76.75-76.765

File Description: electronic resource

Relation: https://www.ecice06.com/fileup/1000-3428/PDF/20250529.pdf; https://doaj.org/toc/1000-3428

Access URL: https://doaj.org/article/6dca6ccf5e1149279b8fd4d79d81dcd6

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

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

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

Subject Terms: 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)

Access URL: http://arxiv.org/abs/2410.18283

Tackling the Nonlinearity Problem in Inverse Modeling: Mixture Density Network-Backed Quantized AutoEncoder

Authors: Muhammed Nur Talha Kilic Yuwei Mao Vishu Gupta et al.

Source: 2024 International Conference on Machine Learning and Applications (ICMLA). :997-1000

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

Authors: Yiyong Xiao Kai Shu Haoyi Zhang et al.

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

A Lightweight Visual Font Style Recognition With Quantized Convolutional Autoencoder

Authors: Moshiur Rahman Tonmoy Abdul Fattah Rakib Rashik Rahman et al.

Source: IEEE Open Journal of the Computer Society, Vol 5, Pp 120-130 (2024)

Subject Terms: TinyML, 0211 other engineering and technologies, edge devices, QA75.5-76.95, Information technology, 02 engineering and technology, T58.5-58.64, 01 natural sciences, computer vision, convolutional autoencoder, Visual font recognition, Electronic computers. Computer science, quantization, 0101 mathematics

Access URL: https://doaj.org/article/db41d852b44e4636894fe90fc63cd981