| _ | autoencoder | _ |
|---|
| 1D-convolutional | autoencoder | Based Hyperspectral Data Compression |
| 3d | autoencoder | s for Feature Extraction In X-Ray Tomography |
| 3D landmark-based face restoration for recognition using variational | autoencoder | and triplet loss |
| 3D Shape Processing by Convolutional Denoising | autoencoder | s on Local Patches |
| 3D Shape Variational | autoencoder | Latent Disentanglement via Mini-Batch Feature Swapping for Bodies and Faces |
| 3D-CNN | autoencoder | for Plenoptic Image Compression |
| A3N: Attention-based adversarial | autoencoder | network for detecting anomalies in video sequence |
| Abnormal Event Detection in Videos Using Hybrid Spatio-Temporal | autoencoder | |
| Active Learning for Hyperspectral Image Classification with a Stacked | autoencoder | s Based Neural Network |
| ADAE: Adversarial Distributed Source | autoencoder | for Point Cloud Compression |
| AdaMAE: Adaptive Masking for Efficient Spatiotemporal Learning with Masked | autoencoder | s |
| Adaptive aggregation-distillation | autoencoder | for unsupervised anomaly detection |
| Adaptive bag-of-visual word modelling using stacked- | autoencoder | and particle swarm optimisation for the unsupervised categorisation of images |
| Adversarial | autoencoder | s for compact representations of 3D point clouds |
| Adversarial Defense based on Structure-to-Signal | autoencoder | s |
| Adversarial Defense Through High Frequency Loss Variational | autoencoder | Decoder and Bayesian Update With Collective Voting |
| Adversarial Latent | autoencoder | s |
| Adversarially Approximated | autoencoder | for Image Generation and Manipulation |
| AE2-Nets: | autoencoder | in Autoencoder Networks |
| AE2-Nets: | autoencoder | in Autoencoder Networks |
| Aerial View 3D Human Pose Estimation Using Double Vector Quantized-Variational | autoencoder | s |
| Aethra-net: Single image and video dehazing using | autoencoder | |
| Affine Variational | autoencoder | s |
| Age Progression/Regression by Conditional Adversarial | autoencoder | |
| Age Regression with Specific Facial Landmarks by Dual Discriminator Adversarial | autoencoder | |
| ALANet: | autoencoder | -LSTM for pain and protective behaviour detection |
| Ancient Document Layout Analysis: | autoencoder | s meet Sparse Coding |
| Anomaly Detection Based on Convolutional Recurrent | autoencoder | for IoT Time Series |
| Are you eligible? Predicting adulthood from face images via Class Specific Mean | autoencoder | |
| AsiANet: | autoencoder | s in Autoencoder for Unsupervised Monocular Depth Estimation |
| AsiANet: | autoencoder | s in Autoencoder for Unsupervised Monocular Depth Estimation |
| Attention augmented residual | autoencoder | for efficient polyp segmentation |
| Attention-Based 3D Convolutional | autoencoder | for Few-Shot Hyperspectral Unmixing and Classification, An |
| Audio Source Separation Using Variational | autoencoder | s and Weak Class Supervision |
| Audio2Gestures: Generating Diverse Gestures from Speech Audio with Conditional Variational | autoencoder | s |
| Audiovisual Masked | autoencoder | s |
| Augmented | autoencoder | s: Implicit 3D Orientation Learning for 6D Object Detection |
| Auto-AD: Autonomous Hyperspectral Anomaly Detection Network Based on Fully Convolutional | autoencoder | |
| autoencoder | and Adversarial-Learning-Based Semisupervised Background Estimation for Hyperspectral Anomaly Detection |
| autoencoder | Attractors for Uncertainty Estimation |
| autoencoder | based novelty detection for generalized zero shot learning |
| autoencoder | for Semisupervised Multiple Emotion Detection of Conversation Transcripts |
| autoencoder | for Synthetic to Real Generalization: From Simple to More Complex Scenes |
| autoencoder | Neural Network-Based STAP Algorithm for Airborne Radar with Inadequate Training Samples |
| autoencoder | node saliency: Selecting relevant latent representations |
| autoencoder | With Invertible Functions for Dimension Reduction and Image Reconstruction |
| autoencoder | -based abnormal activity detection using parallelepiped spatio-temporal region |
| autoencoder | -based background reconstruction and foreground segmentation with background noise estimation |
| autoencoder | -Based Collaborative Attention GAN for Multi-Modal Image Synthesis |
| autoencoder | -Based Fabric Defect Detection with Cross- Patch Similarity |
| autoencoder | -based Graph Construction for Semi-supervised Learning |
| autoencoder | -based Unsupervised Domain Adaptation for Speech Emotion Recognition |
| autoencoder | -Driven Multimodal Collaborative Learning for Medical Image Synthesis |
| autoencoder | s for a manifold learning problem with a Jacobian rank constraint |
| autoencoder | s with exponential deviation loss for weakly supervised anomaly detection |
| autoencoder | s: A Comparative Analysis in the Realm of Anomaly Detection |
| Automatic Modulation Classification Using Deep Learning Based on Sparse | autoencoder | s With Nonnegativity Constraints |
| BAE-NET: Branched | autoencoder | for Shape Co-Segmentation |
| Batch Size Reconstruction-Distribution Trade-Off In Kernel Based Generative | autoencoder | s |
| Benchmark Dataset and Saliency-Guided Stacked | autoencoder | s for Video-Based Salient Object Detection, A |
| Bi-READ: Bi-Residual | autoencoder | based feature enhancement for video anomaly detection |
| Bifurcated | autoencoder | for Segmentation of Covid-19 Infected Regions in Ct Images |
| BirdSAT: Cross-View Contrastive Masked | autoencoder | s for Bird Species Classification and Mapping |
| Blind Stereoscopic Image Quality Evaluator With Segmented Stacked | autoencoder | s Considering the Whole Visual Perception Route, A |
| Boosting the Generalization Capability in Cross-Domain Few-shot Learning via Noise-enhanced Supervised | autoencoder | |
| Bootstrapped Masked | autoencoder | s for Vision BERT Pretraining |
| Bridged Variational | autoencoder | s for Joint Modeling of Images and Attributes |
| CAEclust: A Consensus of | autoencoder | s Representations for Clustering |
| Calibrated reconstruction based adversarial | autoencoder | model for novelty detection |
| CARISI: Convolutional | autoencoder | -Based Inter-Slice Interpolation of Brain Tumor Volumetric Images |
| Catch Missing Details: Image Reconstruction with Frequency Augmented Variational | autoencoder | |
| CL-MAE: Curriculum-Learned Masked | autoencoder | s |
| Class Concentration with Twin Variational | autoencoder | s for Unsupervised Cross-modal Hashing |
| Class Embodiment | autoencoder | (CEAE) for classifying the botanical origins of honey |
| Class-aware single image to 3D object translational | autoencoder | |
| Classification of Alteration Zones Based on Drill Core Hyperspectral Data Using Semi-Supervised Adversarial | autoencoder | : A Case Study in Pulang Porphyry Copper Deposit, China |
| Classification of PolSAR Image Using Neural Nonlocal Stacked Sparse | autoencoder | s with Virtual Adversarial Regularization |
| Classification of PolSAR Images Using Multilayer | autoencoder | s and a Self-Paced Learning Approach |
| Classification of Rigid and Non-Rigid Transformations with | autoencoder | Representations |
| Cloud-VAE: Variational | autoencoder | with concepts embedded |
| Clustering Driven Deep | autoencoder | for Video Anomaly Detection |
| Clutter Removal in Through-the-Wall Radar Imaging Using Sparse | autoencoder | With Low-Rank Projection |
| Co-VAE: Drug-Target Binding Affinity Prediction by Co-Regularized Variational | autoencoder | s |
| Combination of Deep | autoencoder | and Multi-Scale Residual Network for Landslide Susceptibility Evaluation, A |
| Combining GANs and | autoencoder | s for efficient anomaly detection |
| Combining Stacked Denoising | autoencoder | s and Random Forests for Face Detection |
| Complex-Valued Convolutional | autoencoder | and Spatial Pixel-Squares Refinement for Polarimetric SAR Image Classification |
| Conditional Temporal Variational | autoencoder | for Action Video Prediction |
| Cone beam computed tomography enhancement using feature-embedded variational | autoencoder | with a perceptual loss function |
| Consistent and Diverse Human Motion Prediction Using Conditional Variational | autoencoder | with Context-Aware Latent Space |
| Content Based Image Retrieval system using Wavelet Transformation and multiple input multiple task Deep | autoencoder | |
| Context | autoencoder | for Self-supervised Representation Learning |
| Continual Learning Of Predictive Models In Video Sequences Via Variational | autoencoder | s |
| Continual Variational | autoencoder | Learning via Online Cooperative Memorization |
| Contrastive Masked | autoencoder | s are Stronger Vision Learners |
| Controlled | autoencoder | s to Generate Faces from Voices |
| ConvNeXt V2: Co-designing and Scaling ConvNets with Masked | autoencoder | s |
| Convolutional | autoencoder | For Single Image Dehazing |
| Convolutional | autoencoder | for Spectral-Spatial Hyperspectral Unmixing |
| convolutional | autoencoder | model with weighted multi-scale attention modules for 3D skeleton-based action recognition, A |
| Convolutional | autoencoder | s for Human Motion Infilling |
| Coupled adversarial variational | autoencoder | |
| Coupled Deep | autoencoder | for Single Image Super-Resolution |
| Creating synthetic minority class samples based on | autoencoder | extreme learning machine |
| Creativity: Generating Diverse Questions Using Variational | autoencoder | s |
| Cross-Domain Palmprint Recognition Based on Transfer Convolutional | autoencoder | |
| CS-IntroVAE: Cauchy-Schwarz Divergence-Based Introspective Variational | autoencoder | |
| Customization of latent space in semi-supervised Variational | autoencoder | |
| CVA2E: A Conditional Variational | autoencoder | With an Adversarial Training Process for Hyperspectral Imagery Classification |
| DAEN: Deep | autoencoder | Networks for Hyperspectral Unmixing |
| DASP: Dual- | autoencoder | Architecture for Skin Prediction |
| Data Augmentation in High Dimensional Low Sample Size Setting Using a Geometry-Based Variational | autoencoder | |
| DECA: Deep viewpoint-Equivariant human pose estimation using Capsule | autoencoder | s |
| Deep | autoencoder | Architectures For Foreground Object Detection In Video Sequences Based On Probabilistic Mixture Models |
| Deep | autoencoder | for Combined Human Pose Estimation and Body Model Upscaling |
| Deep | autoencoder | s for Anomaly Detection in Textured Images Using CW-SSIM |
| Deep | autoencoder | s for attribute preserving face de-identification |
| Deep | autoencoder | s with Aggregated Residual Transformations for Urban Reconstruction from Remote Sensing Data |
| Deep | autoencoder | s With Multitask Learning for Bilinear Hyperspectral Unmixing |
| Deep Block Transform for | autoencoder | s |
| Deep Clustering Based on Contractive | autoencoder | and Self-paced Learning |
| Deep Clustering by Gaussian Mixture Variational | autoencoder | s With Graph Embedding |
| Deep Clustering via Joint Convolutional | autoencoder | Embedding and Relative Entropy Minimization |
| Deep Clustering With Variational | autoencoder | |
| Deep Co-Saliency Detection via Stacked | autoencoder | -Enabled Fusion and Self-Trained CNNs |
| Deep Convolutional Denoising | autoencoder | s with Network Structure Optimization for the High-Fidelity Attenuation of Random GPR Noise |
| Deep cycle | autoencoder | for unsupervised domain adaptation with generative adversarial networks |
| Deep Feature Compression using Rate-Distortion Optimization Guided | autoencoder | |
| Deep Feature Consistent Variational | autoencoder | |
| Deep Image Clustering Using Convolutional | autoencoder | Embedding with Inception-Like Block |
| Deep Kernelized | autoencoder | s |
| Deep Learning Approach to Urban Street Functionality Prediction Based on Centrality Measures and Stacked Denoising | autoencoder | , A |
| Deep learning model based on cascaded | autoencoder | s and one-class learning for detection and localization of anomalies from surveillance videos |
| Deep Residual | autoencoder | with Multiscaling for Semantic Segmentation of Land-Use Images |
| Deep Spatio-Temporal Representation for Detection of Road Accidents Using Stacked | autoencoder | |
| Deep Spectral Clustering Using Dual | autoencoder | Network |
| Deep spectral unmixing framework via 3D denoising convolutional | autoencoder | |
| DeepCoder: Semi-Parametric Variational | autoencoder | s for Automatic Facial Action Coding |
| Deformable Shape Completion with Graph Convolutional | autoencoder | s |
| Deforming | autoencoder | s: Unsupervised Disentangling of Shape and Appearance |
| Delving into Masked | autoencoder | s for Multi-Label Thorax Disease Classification |
| Demea: Deep Mesh | autoencoder | s for Non-rigidly Deforming Objects |
| Denoising adversarial | autoencoder | s: classifying skin lesions using limited labelled training data |
| Denoising | autoencoder | for Iris Recognition in Noncooperative Environments |
| Denoising | autoencoder | s for Overgeneralization in Neural Networks |
| Denoising Diffusion | autoencoder | s are Unified Self-supervised Learners |
| Denoising of computed tomography using bilateral median based | autoencoder | network |
| Densely connected convolutional network block based | autoencoder | for panorama map compression |
| Detecting Driver Drowsiness as an Anomaly Using Lstm | autoencoder | s |
| Detecting spatiotemporal irregularities in videos via a 3D convolutional | autoencoder | |
| Detection of Cortical Demantia in MRI Images Using Convolutional | autoencoder | Neural Network |
| Developing Robust and Lightweight Adversarial Defenders by Enforcing Orthogonality on Attack-Agnostic Denoising | autoencoder | s |
| Development of a Safety Prediction Method for Arterial Roads Based on Big-Data Technology and Stacked | autoencoder | -Gated Recurrent Unit |
| DHCAE: Deep Hybrid Convolutional | autoencoder | Approach for Robust Supervised Hyperspectral Unmixing |
| Diffusion | autoencoder | s: Toward a Meaningful and Decodable Representation |
| Diffusion Models as Masked | autoencoder | s |
| Diffusion Video | autoencoder | s: Toward Temporally Consistent Face Video Editing via Disentangled Video Encoding |
| Dimensionality Reduction Using Discriminative | autoencoder | s for Remote Sensing Image Retrieval |
| Dimensionality Reduction Via An Orthogonal | autoencoder | Approach For Hyperspectral Image Classification |
| Dirichlet Variational | autoencoder | |
| DISCO: U-Net based | autoencoder | Architecture with Dual Input Streams for Skeleton Image Drawing |
| Discovering influential factors in variational | autoencoder | s |
| Discriminating Known from Unknown Objects via Structure-Enhanced Recurrent Variational | autoencoder | |
| Discrimination between Genuine and Cloned Gait Silhouette Videos via | autoencoder | -Based Training Data Generation |
| Discriminative | autoencoder | |
| Discriminative | autoencoder | s for Small Targets Detection |
| Disentangled Adversarial | autoencoder | for Subject-Invariant Physiological Feature Extraction |
| Disentangled Inference for GANs With Latently Invertible | autoencoder | |
| Disentangled Sequential | autoencoder | with Local Consistency for Infectious Keratitis Diagnosis |
| Disentangled-Multimodal Adversarial | autoencoder | : Application to Infant Age Prediction With Incomplete Multimodal Neuroimages |
| Disentangling Multiple Features in Video Sequences Using Gaussian Processes in Variational | autoencoder | s |
| Distance Transform-Based Spectral-Spatial Feature Vector for Hyperspectral Image Classification with Stacked | autoencoder | |
| Distributed | autoencoder | classifier network for small-scale and scattered COVID-19 dataset classification |
| distributed source | autoencoder | of local visual descriptors for 3D reconstruction, A |
| DisVAE: Disentangled Variational | autoencoder | for High-Quality Facial Expression Features |
| Domain Generalization for Object Recognition with Multi-task | autoencoder | s |
| Domain Invariant Masked | autoencoder | s for Self-supervised Learning from Multi-domains |
| DriveGuard: Robustification of Automated Driving Systems with Deep Spatio-Temporal Convolutional | autoencoder | |
| Driving Safety Risk Prediction Using Cost-Sensitive With Nonnegativity-Constrained | autoencoder | s Based on Imbalanced Naturalistic Driving Data |
| DropMAE: Masked | autoencoder | s with Spatial-Attention Dropout for Tracking Tasks |
| Dual | autoencoder | s features for imbalance classification problem |
| Dual Contradistinctive Generative | autoencoder | |
| Dual-Branch | autoencoder | Network for Underwater Low-Light Polarized Image Enhancement, A |
| Dynamic mode decomposition via convolutional | autoencoder | s for dynamics modeling in videos |
| EANet: Multiscale | autoencoder | based edge attention network for fluid segmentation from SD-OCT images |
| Early diagnosis of Alzheimer's disease: A multi-class deep learning framework with modified k-sparse | autoencoder | classification |
| Efficient convolutional hierarchical | autoencoder | for human motion prediction |
| Efficient Multi-Sensor Remote Sensing Image Clustering in Urban Areas via Boosted Convolutional | autoencoder | (BCAE), An |
| Emotion-Regularized Conditional Variational | autoencoder | for Emotional Response Generation |
| End to End Lip Synchronization with a Temporal | autoencoder | |
| End-to-End Convolutional | autoencoder | for Nonlinear Hyperspectral Unmixing |
| EndNet: Sparse | autoencoder | Network for Endmember Extraction and Hyperspectral Unmixing |
| Energy Compaction-Based Image Compression Using Convolutional | autoencoder | |
| Enhancing Hierarchical Vector Quantized | autoencoder | s for Image Synthesis Through Multiple Decoders |
| Enhancing Medical Image Segmentation: Optimizing Cross-Entropy Weights and Post-Processing with | autoencoder | s |
| Epitomic Variational Graph | autoencoder | |
| Estimation of Clinical Tremor using Spatio-Temporal Adversarial | autoencoder | |
| Estimation of Orientation and Camera Parameters from Cryo-Electron Microscopy Images with Variational | autoencoder | s and Generative Adversarial Networks |
| Evaluation and Selection of | autoencoder | s for Expressive Dimensionality Reduction of Spatial Ensembles |
| Evaluation of Levenberg-Marquardt neural networks and stacked | autoencoder | s clustering for skin lesion analysis, screening and follow-up |
| Evaluation of Video Masked | autoencoder | s' Performance and Uncertainty Estimations for Driver Action and Intention Recognition |
| Evolving Domain Generalization via Latent Structure-Aware Sequential | autoencoder | |
| Experimental Study on Transfer Learning in Denoising | autoencoder | s for Speech Enhancement |
| Explainable Convolutional | autoencoder | Model for Unsupervised Change Detection, An |
| Exploiting Embedding Manifold of | autoencoder | s for Hyperspectral Anomaly Detection |
| Exploratory Study on Human-Centric Video Anomaly Detection through Variational | autoencoder | s and Trajectory Prediction, An |
| Exploring Brain Hemodynamic Response Patterns via Deep Recurrent | autoencoder | |
| Facial Attribute Editing by Latent Space Adversarial Variational | autoencoder | s |
| Factorized Variational | autoencoder | s for Modeling Audience Reactions to Movies |
| FARMSAR: Fixing AgRicultural Mislabels Using Sentinel-1 Time Series and | autoencoder | s |
| Fast deep | autoencoder | for federated learning |
| Fast Spectral Clustering Using | autoencoder | s and Landmarks |
| feasibility study of an | autoencoder | meta-model for improving generalization capabilities on training sets of small sizes, A |
| Feature Descriptor by Convolution and Pooling | autoencoder | s |
| Federated Multidomain Learning With Graph Ensemble | autoencoder | GMM for Emotion Recognition |
| Feedback Recurrent | autoencoder | for Video Compression |
| FFCAEs: An efficient feature fusion framework using cascaded | autoencoder | s for the identification of gliomas |
| Filling the Gaps: Predicting Missing Joints of Human Poses Using Denoising | autoencoder | s |
| Forecast-MAE: Self-supervised Pre-training for Motion Forecasting with Masked | autoencoder | s |
| Foreground detection by probabilistic modeling of the features discovered by stacked denoising | autoencoder | s in noisy video sequences |
| Frechet | autoencoder | Distance: A new approach for evaluation of Generative Adversarial Networks |
| FusionVAE: A Deep Hierarchical Variational | autoencoder | for RGB Image Fusion |
| Fuzzy Sparse | autoencoder | Framework for Single Image Per Person Face Recognition |
| Gated | autoencoder | Network for Spectral-Spatial Hyperspectral Unmixing |
| Gated Variational | autoencoder | s: Incorporating Weak Supervision to Encourage Disentanglement |
| Gaussian Process Modeling of Approximate Inference Errors for Variational | autoencoder | s |
| GazeMAE: General Representations of Eye Movements using a Micro-Macro | autoencoder | |
| Generalized | autoencoder | for Volumetric Shape Generation |
| Generalized | autoencoder | : A Neural Network Framework for Dimensionality Reduction |
| Generalized Zero- and Few-Shot Learning via Aligned Variational | autoencoder | s |
| Generating 3D Faces Using Convolutional Mesh | autoencoder | s |
| Generating Classification Weights With GNN Denoising | autoencoder | s for Few-Shot Learning |
| Generating Image Distortion Maps Using Convolutional | autoencoder | s With Application to No Reference Image Quality Assessment |
| Generating Spectrum Images from Different Types: Visible, Thermal, and Infrared Based on | autoencoder | Architecture (GVTI-AE) |
| Generative | autoencoder | |
| Generative Model for Zero Shot Learning Using Conditional Variational | autoencoder | s, A |
| Generative Probabilistic Novelty Detection with Isometric Adversarial | autoencoder | s |
| Generic-to-Specific Distillation of Masked | autoencoder | s |
| Geometry Regularized | autoencoder | s |
| GeoSDVA: A Semi-Supervised Dirichlet Variational | autoencoder | Model for Transportation Mode Identification |
| GMM-Aided DNN Bearing Fault Diagnosis Using Sparse | autoencoder | Feature Extraction |
| Grad2 VAE: An Explainable Variational | autoencoder | Model Based on Online Attentions Preserving Curvatures of Representations |
| Graph | autoencoder | -Based Embedded Learning in Dynamic Brain Networks for Autism Spectrum Disorder Identification |
| Graph convolutional | autoencoder | s with co-learning of graph structure and node attributes |
| Graph Regression Based on Graph | autoencoder | s |
| Graph Regularized | autoencoder | and its Application in Unsupervised Anomaly Detection |
| Greedy Hierarchical Variational | autoencoder | s for Large-Scale Video Prediction |
| Group sparse | autoencoder | |
| Guided Variational | autoencoder | for Disentanglement Learning |
| Hallucinating Very Low-Resolution Unaligned and Noisy Face Images by Transformative Discriminative | autoencoder | s |
| Hand Crafted Features for Efficient Lung Cancer Diagnosis Using Stacked | autoencoder | |
| Handwritten Digit String Recognition using Deep | autoencoder | based Segmentation and ResNet based Recognition Approach |
| Hashing with binary | autoencoder | s |
| HDR Image Compression with Convolutional | autoencoder | |
| Heterogeneous Hypergraph Variational | autoencoder | for Link Prediction |
| Hiding multiple images into a single image via joint compressive | autoencoder | s |
| Hierarchical and Self-Attended Sequence | autoencoder | |
| hierarchical | autoencoder | learning model for path prediction and abnormality detection, A |
| Hierarchical Diffusion | autoencoder | s and Disentangled Image Manipulation |
| Hierarchical Variational | autoencoder | s for Visual Counterfactuals |
| Hierarchy Denoising Recursive | autoencoder | s for 3D Scene Layout Prediction |
| High-Fidelity Monocular Face Reconstruction Based on an Unsupervised Model-Based Face | autoencoder | |
| Human Gait Recognition with Micro-Doppler Radar and Deep | autoencoder | |
| Hybrid Graph Convolutional Network With Online Masked | autoencoder | for Robust Multimodal Cancer Survival Prediction |
| Hybrid Trip Destination Prediction Model of Vehicles Based on | autoencoder | and High-Order Interaction Features, The |
| Hyperspectral Data Compression Using Fully Convolutional | autoencoder | |
| Hyperspectral Pansharpening Based on Spectral Constrained Adversarial | autoencoder | |
| Hyperspectral Unmixing Using Orthogonal Sparse Prior-Based | autoencoder | With Hyper-Laplacian Loss and Data-Driven Outlier Detection |
| Identification of Urban Functional Zones Based on POI Density and Marginalized Graph | autoencoder | |
| Image Compression: Sparse Coding vs. Bottleneck | autoencoder | s |
| Image Disentanglement | autoencoder | for Steganography without Embedding |
| Image encryption based on logistic chaotic systems and deep | autoencoder | |
| Image Inpainting by Mscswin Transformer Adversarial | autoencoder | |
| image inpainting method based on generative adversarial networks inversion and | autoencoder | , An |
| Image Super-resolution with Deep Variational | autoencoder | s |
| Implicit | autoencoder | for Point-Cloud Self-Supervised Representation Learning |
| Improved anomaly detection by training an | autoencoder | with skip connections on images corrupted with Stain-shaped noise |
| Improving Adversarial Robustness of Masked | autoencoder | s via Test-time Frequency-domain Prompting |
| Improving | autoencoder | Training Performance for Hyperspectral Unmixing with Network Reinitialisation |
| Improving Diversity of Image Captioning Through Variational | autoencoder | s and Adversarial Learning |
| Industrial anomaly detection with multiscale | autoencoder | and deep feature extractor-based neural network |
| Inference-Reconstruction Variational | autoencoder | for Light Field Image Reconstruction |
| Infinite Variational | autoencoder | for Semi-Supervised Learning |
| Information Bottlenecked Variational | autoencoder | for Disentangled 3D Facial Expression Modelling |
| Integrating Adversarial Generative Network with Variational | autoencoder | s towards Cross-Modal Alignment for Zero-Shot Remote Sensing Image Scene Classification |
| Integrative Remote Sensing Application of Stacked | autoencoder | for Atmospheric Correction and Cyanobacteria Estimation Using Hyperspectral Imagery, An |
| Intelligent Constellation Generation based on | autoencoder | Communication System |
| Inter-Modal Masked | autoencoder | for Self-Supervised Learning on Point Clouds |
| Interpreting denoising | autoencoder | s with complex perturbation approach |
| Intrinsic | autoencoder | s for Joint Deferred Neural Rendering and Intrinsic Image Decomposition |
| Introducing Latent Space Correlation to Conditional | autoencoder | s for Intra Prediction |
| Inverse problem regularization with hierarchical variational | autoencoder | s |
| Joint compressive | autoencoder | s for full-image-to-image hiding |
| Joint Learning of Object Detection and Pose Estimation using Augmented | autoencoder | |
| Joint Wasserstein | autoencoder | s for Aligning Multimodal Embeddings |
| Kalman Variational | autoencoder | Model Assisted by Odometric Clustering for Video Frame Prediction and Anomaly Detection, A |
| Kinematic Constrained Cascaded | autoencoder | for Real-Time Hand Pose Estimation |
| Landmine Detection Using | autoencoder | s on Multipolarization GPR Volumetric Data |
| Large-Dimensional Seismic Inversion Using Global Optimization With | autoencoder | -Based Model Dimensionality Reduction |
| Latent Relationship Guided Stacked Sparse | autoencoder | for Hyperspectral Imagery Classification |
| LBS | autoencoder | : Self-Supervised Fitting of Articulated Meshes to Point Clouds |
| Learned Design of a Compressive Hyperspectral Imager for Remote Sensing by a Physics-Constrained | autoencoder | |
| Learning 3D Human Pose Estimation from Dozens of Datasets using a Geometry-Aware | autoencoder | to Bridge Between Skeleton Formats |
| Learning 3D Representations from 2D Pre-Trained Models via Image-to-Point Masked | autoencoder | s |
| Learning a referenceless stereopair quality engine with deep nonnegativity constrained sparse | autoencoder | |
| Learning an Optimisable Semantic Segmentation Map with Image Conditioned Variational | autoencoder | |
| Learning | autoencoder | s with low-rank weights |
| Learning Compact and Discriminative Stacked | autoencoder | for Hyperspectral Image Classification |
| Learning conditional variational | autoencoder | s with missing covariates |
| Learning deeply coupled | autoencoder | s for smartphone based robust periocular verification |
| Learning Graph Variational | autoencoder | s with Constraints and Structured Priors for Conditional Indoor 3D Scene Generation |
| Learning Hierarchical Variational | autoencoder | s With Mutual Information Maximization for Autoregressive Sequence Modeling |
| Learning Low-Rank Latent Spaces with Simple Deterministic | autoencoder | : Theoretical and Empirical Insights |
| Learning Multiple Views with Orthogonal Denoising | autoencoder | s |
| Learning Normal Patterns via Adversarial Attention-Based | autoencoder | for Abnormal Event Detection in Videos |
| Learning of Separable Filters by Stacked Fisher Convolutional | autoencoder | s |
| Learning view-invariant features using stacked | autoencoder | for skeleton-based gait recognition |
| Learning Weighted Submanifolds With Variational | autoencoder | s and Riemannian Variational Autoencoders |
| Learning Weighted Submanifolds With Variational | autoencoder | s and Riemannian Variational Autoencoders |
| Leveraging Vector-Quantized Variational | autoencoder | Inner Metrics for Anomaly Detection |
| Lifting | autoencoder | s: Unsupervised Learning of a Fully-Disentangled 3D Morphable Model Using Deep Non-Rigid Structure From Motion |
| Lightweight Lossy Compression of Biometric Patterns via Denoising | autoencoder | s |
| lightweight unsupervised adversarial detector based on | autoencoder | and isolation forest, A |
| Limited Data, Unlimited Potential: A Study on ViTs Augmented by Masked | autoencoder | s |
| Link Prediction in Social Networks by Variational Graph | autoencoder | and Similarity-based Methods: A Brief Comparative Analysis |
| LLNet: A deep | autoencoder | approach to natural low-light image enhancement |
| Local Linear Generalized | autoencoder | -Based Incipient Fault Detection for Electrical Drive Systems of High-Speed Trains |
| Local receptive field constrained stacked sparse | autoencoder | for classification of hyperspectral images |
| Local Representation Learning with A Convolutional | autoencoder | |
| Lung Disease Classification in Chest X-Rays with Feature Fusion via Stacked Convolutional Denoising | autoencoder | s |
| M33D: Learning 3D priors using Multi-Modal Masked | autoencoder | s for 2D image and video understanding |
| MAAL: Multimodality-Aware | autoencoder | -based Affordance Learning for 3D Articulated Objects |
| MAE, Masked | autoencoder | |
| MAELi: Masked | autoencoder | for Large-Scale LiDAR Point Clouds |
| MAESTER: Masked | autoencoder | Guided Segmentation at Pixel Resolution for Accurate, Self-Supervised Subcellular Structure Recognition |
| MAGAN: A masked | autoencoder | generative adversarial network for processing missing IoT sequence data |
| MAGVA: An Open-Set Fault Diagnosis Model Based on Multi-Hop Attentive Graph Variational | autoencoder | for Autonomous Vehicles |
| MAMA Net: Multi-Scale Attention Memory | autoencoder | Network for Anomaly Detection |
| Man-Recon: Manifold Learning for Reconstruction With Deep | autoencoder | for Smart Seismic Interpretation |
| MAR: Masked | autoencoder | s for Efficient Action Recognition |
| MARLIN: Masked | autoencoder | for facial video Representation LearnINg |
| Masked | autoencoder | for Self-Supervised Pre-training on Lidar Point Clouds |
| Masked | autoencoder | s are Efficient Class Incremental Learners |
| Masked | autoencoder | s Are Scalable Vision Learners |
| Masked | autoencoder | s Are Stronger Knowledge Distillers |
| Masked | autoencoder | s Enable Efficient Knowledge Distillers |
| Masked | autoencoder | s for Point Cloud Self-Supervised Learning |
| Masked Conditional Variational | autoencoder | s for Chromosome Straightening |
| MATE: Masked | autoencoder | s are Online 3D Test-Time Learners |
| Matrix randomized | autoencoder | |
| Memorizing Normality to Detect Anomaly: Memory-Augmented Deep | autoencoder | for Unsupervised Anomaly Detection |
| Mesh Convolutional | autoencoder | for Semi-Regular Meshes of Different Sizes |
| Mesh Variational | autoencoder | s with Edge Contraction Pooling |
| MeshMAE: Masked | autoencoder | s for 3D Mesh Data Analysis |
| MGM-AE: Self-Supervised Learning on 3D Shape Using Mesh Graph Masked | autoencoder | s |
| Missing Modalities Imputation via Cascaded Residual | autoencoder | |
| Mitigation of Through-Wall Distortions of Frontal Radar Images Using Denoising | autoencoder | s |
| Mixed | autoencoder | for Self-Supervised Visual Representation Learning |
| MixMAE: Mixed and Masked | autoencoder | for Efficient Pretraining of Hierarchical Vision Transformers |
| Mixture variational | autoencoder | s |
| Mixtures of Variational | autoencoder | s |
| Modeling Task fMRI Data Via Deep Convolutional | autoencoder | |
| Modified kernel MLAA using | autoencoder | for PET-enabled dual-energy CT |
| MoFA: Model-Based Deep Convolutional Face | autoencoder | for Unsupervised Monocular Reconstruction |
| Motion blur removal via coupled | autoencoder | |
| Multi-Attention | autoencoder | for Hyperspectral Unmixing Based on the Extended Linear Mixing Model, A |
| Multi-Channel Weight-Sharing | autoencoder | Based on Cascade Multi-Head Attention for Multimodal Emotion Recognition |
| Multi-Localized Sensitive | autoencoder | -Attention-LSTM For Skeleton-based Action Recognition |
| Multi-modal Facial Affective Analysis based on Masked | autoencoder | |
| Multi-modal Image Re-ranking with | autoencoder | s and Click Semantics |
| Multi-stream Convolutional | autoencoder | and 2D Generative Adversarial Network for Glioma Classification |
| Multi-View | autoencoder | for Image Feature Learning with Structured Nonnegative Low Rank |
| Multi-View Graph | autoencoder | for Unsupervised Graph Representation Learning |
| Multilayer Projective Dictionary Pair Learning and Sparse | autoencoder | for PolSAR Image Classification |
| Multilevel Anomaly Detection Through Variational | autoencoder | s and Bayesian Models for Self-Aware Embodied Agents |
| Multilinear | autoencoder | for 3D Face Model Learning |
| MultiMAE: Multi-modal Multi-task Masked | autoencoder | s |
| Multimodal Channel-Mixing: Channel and Spatial Masked | autoencoder | on Facial Action Unit Detection |
| Multimodal Deep | autoencoder | for Human Pose Recovery |
| Multiple Style Transfer Via Variational | autoencoder | |
| Multiscale CNN With | autoencoder | Regularization Joint Contextual Attention Network for SAR Image Classification |
| Multiscale Representations Fusion With Joint Multiple Reconstructions | autoencoder | for Intelligent Fault Diagnosis |
| Multiscale Superpixel-Based Hyperspectral Image Classification Using Recurrent Neural Networks With Stacked | autoencoder | s |
| Multitask Air-Quality Prediction Based on LSTM- | autoencoder | Model |
| No Reference Quality Assessment for Screen Content Images Using Stacked | autoencoder | s in Pictorial and Textual Regions |
| No-Reference | autoencoder | Video Quality Metric, A |
| Non-dermatoscopic Image Analysis for the Recognition of Malignant Skin Diseases with Convolutional Neural Network and | autoencoder | s |
| Nonlinear Unmixing via Deep | autoencoder | Networks for Generalized Bilinear Model |
| Novel | autoencoder | -Based Diagnostic System for Early Assessment of Lung Cancer, A |
| Novel Deep Learning-Enabled LSTM | autoencoder | Architecture for Discovering Anomalous Events From Intelligent Transportation Systems |
| Novel Used Vehicles Price Prediction Model Based on Denoising | autoencoder | With Convolution Operation, A |
| Novel Vehicle Destination Prediction Model With Expandable Features Using Attention Mechanism and Variational | autoencoder | , A |
| Object Detection and | autoencoder | -Based 6d Pose Estimation for Highly Cluttered Bin Picking |
| OC-FakeDect: Classifying Deepfakes Using One-class Variational | autoencoder | |
| Occlusion-Free Face Alignment: Deep Regression Networks Coupled with De-Corrupt | autoencoder | s |
| Opinion fraud detection via neural | autoencoder | decision forest |
| Opinion Unaware Image Quality Assessment via Adversarial Convolutional Variational | autoencoder | |
| Orthogonal Local Image Descriptors with Convolutional | autoencoder | s |
| Out-of-distribution Detection and Generation using Soft Brownian Offset Sampling and | autoencoder | s |
| Overcomplete graph convolutional denoising | autoencoder | for noisy skeleton action recognition |
| Page segmentation of historical document images with convolutional | autoencoder | s |
| Parameter selection of Touzi decomposition and a distribution improved | autoencoder | for PolSAR image classification |
| Parameterized Gompertz-Guided Morphological | autoencoder | for Predicting Pulmonary Nodule Growth |
| Parametric Learning of Texture Filters by Stacked Fisher | autoencoder | s |
| PAUL: Procrustean | autoencoder | for Unsupervised Lifting |
| Performance Analysis of Deep Convolutional | autoencoder | s with Different Patch Sizes for Change Detection from Burnt Areas |
| Persistent Watermark for Image Classification Neural Networks By Penetrating the | autoencoder | |
| Photo-Realistic Image Super-Resolution via Variational | autoencoder | s |
| PhotoWCT2: Compact | autoencoder | for Photorealistic Style Transfer Resulting from Blockwise Training and Skip Connections of High-Frequency Residuals |
| Physics-Augmented | autoencoder | for 3D Skeleton-Based Gait Recognition |
| PiMAE: Point Cloud and Image Interactive Masked | autoencoder | s for 3D Object Detection |
| Pioneer Networks: Progressively Growing Generative | autoencoder | |
| Pixel-Wise Wasserstein | autoencoder | for Highly Generative Dehazing |
| Pluralistic Aging Diffusion | autoencoder | |
| Pointivae: Invertible Variational | autoencoder | Framework for 3D Point Cloud Generation |
| POL-SAR Image Classification Based on Modified Stacked | autoencoder | Network and Data Distribution |
| Post-DAE: Anatomically Plausible Segmentation via Post-Processing With Denoising | autoencoder | s |
| Potential Energy of an | autoencoder | , The |
| Predictive Coding with Topographic Variational | autoencoder | s |
| Processing Simple Geometric Attributes with | autoencoder | s |
| Quadratic | autoencoder | (Q-AE) for Low-Dose CT Denoising |
| Radar Image Reconstruction from Raw ADC Data using Parametric Variational | autoencoder | with Domain Adaptation |
| Radio Galaxy Morphology Generation using Residual Convolutional | autoencoder | and Gaussian Mixture Models |
| Rate-Distortion Optimized Learning-Based Image Compression using an Adaptive Hierachical | autoencoder | with Conditional Hyperprior |
| READ: Recursive | autoencoder | s for Document Layout Generation |
| Real-Time Traffic Speed Estimation With Graph Convolutional Generative | autoencoder | |
| Realization of | autoencoder | s by Kernel Methods |
| Recognition of Handwritten Characters in Chinese Legal Amounts by Stacked | autoencoder | s |
| Recognizing Fall Actions from Videos Using Reconstruction Error of Variational | autoencoder | |
| Reconstructing Cloud-Contaminated Multispectral Images With Contextualized | autoencoder | Neural Networks |
| Reconstructing Humpty Dumpty: Multi-feature Graph | autoencoder | for Open Set Action Recognition |
| Reconstruction of fragmented trajectories of collective motion using Hadamard deep | autoencoder | s |
| Reduced Biquaternion Stacked Denoising Convolutional | autoencoder | for RGB-D Image Classification |
| Reduced-Complexity End-to-End Variational | autoencoder | for on Board Satellite Image Compression |
| Reducing Data Complexity Using | autoencoder | s With Class-Informed Loss Functions |
| Reducing redundancy in the bottleneck representation of | autoencoder | s |
| Reducing Tongue Shape Dimensionality from Hundreds of Available Resources Using | autoencoder | |
| Refining the Pose: Training and Use of Deep Recurrent | autoencoder | s for Improving Human Pose Estimation |
| Region of Interest | autoencoder | s with an Application to Pedestrian Detection |
| regularization framework for stereo matching using IGMRF prior and sparseness learned from | autoencoder | , A |
| Regularizing | autoencoder | s with wavelet transform for sequence anomaly detection |
| Remote Sensing Image Classification Based on Stacked Denoising | autoencoder | |
| Representation Learning for Point Clouds with Variational | autoencoder | s |
| Representation Learning with a Variational | autoencoder | for Predicting Nitrogen Requirement in Rice |
| Representation Learning With Class Level | autoencoder | for Intelligent Fault Diagnosis |
| Representation Learning with Smooth | autoencoder | |
| Residual Codean | autoencoder | for Facial Attribute Analysis |
| Rethinking Controllable Variational | autoencoder | s |
| Rethinking Reconstruction | autoencoder | -Based Out-of-Distribution Detection |
| Reverse Variational | autoencoder | for Visual Attribute Manipulation and Anomaly Detection |
| Revisiting Role of | autoencoder | s in Adversarial Settings |
| Road Obstacle Detection Method Based on an | autoencoder | with Semantic Segmentation |
| Road User Abnormal Trajectory Detection Using a Deep | autoencoder | |
| Robust Lane Detection Through Self Pre-Training With Masked Sequential | autoencoder | s and Fine-Tuning With Customized PolyLoss |
| Robust LSTM- | autoencoder | s for Face De-Occlusion in the Wild |
| Robust Multiple-Measurement Sparsity-Aware STAP with Bayesian Variational | autoencoder | |
| Robust Precipitation Bias Correction Through an Ordinal Distribution | autoencoder | |
| robust watermarking algorithm against JPEG compression based on multiscale | autoencoder | , A |
| Robust Wi-Fi Fingerprint Positioning Algorithm Using Stacked Denoising | autoencoder | and Multi-Layer Perceptron, A |
| RODEO: Robust DE-aliasing | autoencoder | for real-time medical image reconstruction |
| RoSteALS: Robust Steganography using | autoencoder | Latent Space |
| RV-VAE: Integrating Random Variable Algebra into Variational | autoencoder | s |
| Salient Object Detection in Stereoscopic 3D Images Using a Deep Convolutional Residual | autoencoder | |
| Sample reconstruction with deep | autoencoder | for one sample per person face recognition |
| SAR patch categorization using dual tree orientec wavelet transform and stacked | autoencoder | |
| Scalability in | autoencoder | -based OFDM Communication System |
| Scalable Discrete Matrix Factorization and Semantic | autoencoder | for Cross-Media Retrieval |
| Scale-MAE: A Scale-Aware Masked | autoencoder | for Multiscale Geospatial Representation Learning |
| SdAE: Self-distillated Masked | autoencoder | |
| SDCA: a novel stack deep convolutional | autoencoder | - an application on retinal image denoising |
| Secure Robust JPEG Steganography Based on | autoencoder | With Adaptive BCH Encoding |
| Sediment Classification of Acoustic Backscatter Image Based on Stacked Denoising | autoencoder | and Modified Extreme Learning Machine |
| Self-Adaptive Discriminative | autoencoder | for Medical Applications, A |
| Self-adaptive weighted synthesised local directional pattern integrating with sparse | autoencoder | for expression recognition based on improved multiple kernel learning strategy |
| Self-Organized Variational | autoencoder | s (Self-Vae) for Learned Image Compression |
| Self-Paced | autoencoder | |
| Self-Supervised Learning with Masked | autoencoder | s for Teeth Segmentation from Intra-oral 3D Scans |
| Self-Supervision-Augmented Deep | autoencoder | for Unsupervised Visual Anomaly Detection |
| Semantic | autoencoder | for Zero-Shot Learning |
| Semantic Segmentation of SLAR Imagery with Convolutional LSTM Selectional | autoencoder | s |
| Semantics-enhanced supervised deep | autoencoder | for depth image-based 3D model retrieval |
| Semi-Supervised Seq2seq Joint-Stochastic-Approximation | autoencoder | s With Applications to Semantic Parsing |
| Semi-supervised stacked | autoencoder | -based deep hierarchical semantic feature for real-time fingerprint liveness detection |
| Sequential | autoencoder | for Teleconnection Analysis, A |
| SG-VAE: Scene Grammar Variational | autoencoder | to Generate New Indoor Scenes |
| ShapeCreator: 3D Shape Generation from Isomorphic Datasets Based on | autoencoder | |
| Shared-space | autoencoder | s with Randomized Skip Connections for Building Footprint Detection with Missing Views |
| SkeletonMAE: Graph-based Masked | autoencoder | for Skeleton Sequence Pre-training |
| Skin Segmentation Algorithm Based on Stacked | autoencoder | s, A |
| Skip-Connected Deep Convolutional | autoencoder | for Restoration of Document Images |
| Slimmable Compressive | autoencoder | s for Practical Neural Image Compression |
| SMAE: Few-shot Learning for HDR Deghosting with Saturation-Aware Masked | autoencoder | s |
| SMAUG: Sparse Masked | autoencoder | for Efficient Video-Language Pre-training |
| Soft-IntroVAE: Analyzing and Improving the Introspective Variational | autoencoder | |
| Source-Target-Source Classification Using Stacked Denoising | autoencoder | s |
| Sparse | autoencoder | for unsupervised nucleus detection and representation in histopathology images |
| SparseMAE: Sparse Training Meets Masked | autoencoder | s |
| Spatial Revising Variational | autoencoder | -Based Feature Extraction Method for Hyperspectral Images |
| Spatial-Spectral Joint Hyperspectral Anomaly Detection Based on a Two-Branch 3D Convolutional | autoencoder | and Spatial Filtering |
| Spatial-Temporal | autoencoder | with Attention Network for Video Compression |
| Spatial-Temporal Cascade | autoencoder | for Video Anomaly Detection in Crowded Scenes |
| Spatial-Temporal Data Augmentation Based on LSTM | autoencoder | Network for Skeleton-Based Human Action Recognition |
| Spatio-Temporal | autoencoder | for Traffic Flow Prediction |
| Spatio-Temporal Enhanced Graph-Transformer | autoencoder | embedded pose for anomaly detection, A |
| Spectral clustering via ensemble deep | autoencoder | learning (SC-EDAE) |
| Spectral-spatial classification of hyperspectral data with mutual information based segmented stacked | autoencoder | approach |
| Spectral-Spatial Feature Extraction With Dual Graph | autoencoder | for Hyperspectral Image Clustering |
| Speech Enhancement Based on Deep | autoencoder | for Remote Arabic Speech Recognition |
| Split-Brain | autoencoder | s: Unsupervised Learning by Cross-Channel Prediction |
| SRL-SOA: Self-Representation Learning with Sparse 1D-Operational | autoencoder | for Hyperspectral Image Band Selection |
| SSANet: An Adaptive Spectral-Spatial Attention | autoencoder | Network for Hyperspectral Unmixing |
| Stacked | autoencoder | s Driven by Semi-Supervised Learning for Building Extraction from near Infrared Remote Sensing Imagery |
| Stacked | autoencoder | s for Medical Image Search |
| Stacked | autoencoder | s for Unsupervised Feature Learning and Multiple Organ Detection in a Pilot Study Using 4D Patient Data |
| Stacked Capsule Graph | autoencoder | s for geometry-aware 3D head pose estimation |
| Stacked Fisher | autoencoder | for SAR change detection |
| Stacked Sparse | autoencoder | (SSAE) for Nuclei Detection on Breast Cancer Histopathology Images |
| Stacked Sparse | autoencoder | for Audio Object Coding |
| Stacked Sparse | autoencoder | -Based Detector for Automatic Identification of Neuromagnetic High Frequency Oscillations in Epilepsy, A |
| Stochastic gate-based | autoencoder | for unsupervised hyperspectral band selection |
| Structure-Constrained Feature Extraction by | autoencoder | s for Subspace Clustering |
| Structured | autoencoder | s for Subspace Clustering |
| Structuring | autoencoder | s |
| Subitizing with Variational | autoencoder | s |
| Super-encoder with cooperative | autoencoder | networks |
| Supervised | autoencoder | Variants for End to End Anomaly Detection |
| Supervised Deep- | autoencoder | for Depth Image-Based 3D Model Retrieval |
| Supervised Mixed Norm | autoencoder | for Kinship Verification in Unconstrained Videos |
| Surround the Nonlinearity: Inserting Foldable Convolutional | autoencoder | s to Reduce Activation Footprint |
| Symmetric Graph Convolutional | autoencoder | for Unsupervised Graph Representation Learning |
| Symmetric Shape-Preserving | autoencoder | for Unsupervised Real Scene Point Cloud Completion |
| Syndrome-Based | autoencoder | For Point Cloud Geometry Compression, A |
| Synthesizing Talking Faces from Text and Audio: An | autoencoder | and Sequence-to-Sequence Convolutional Neural Network |
| Taking a Closer Look at Factor Disentanglement: Dual-Path Variational | autoencoder | Learning for Domain Generalization |
| Tamper-Proofing Video With Hierarchical Attention | autoencoder | Hashing on Blockchain |
| Target Detection With Unconstrained Linear Mixture Model and Hierarchical Denoising | autoencoder | in Hyperspectral Imagery |
| TearingNet: Point Cloud | autoencoder | to Learn Topology-Friendly Representations |
| TGAE: Temporal Graph | autoencoder | for Travel Forecasting |
| Theoretical Insights into the Use of Structural Similarity Index in Generative Models and Inferential | autoencoder | s |
| Time-Lag Aware Multi-Modal Variational | autoencoder | Using Baseball Videos and Tweets for Prediction of Important Scenes |
| topic modeling and image classification framework: The Generalized Dirichlet variational | autoencoder | , A |
| Topic-word-constrained sentence generation with variational | autoencoder | |
| Toward Unsupervised 3d Point Cloud Anomaly Detection Using Variational | autoencoder | |
| Towards Photographic Image Manipulation with Balanced Growing of Generative | autoencoder | s |
| Towards Predicting the Measurement Noise Covariance with a Transformer and Residual Denoising | autoencoder | for GNSS/INS Tightly-Coupled Integrated Navigation |
| Towards Visually Explaining Variational | autoencoder | s |
| Training Invertible Neural Networks as | autoencoder | s |
| Traj-MAE: Masked | autoencoder | s for Trajectory Prediction |
| Transfer Learning from Synthetic to Real Images Using Variational | autoencoder | s for Precise Position Detection |
| Transformed denoising | autoencoder | prior for image restoration |
| Tumour growth prediction of follow-up lung cancer via conditional recurrent variational | autoencoder | |
| Two-Stage | autoencoder | for Visual Anomaly Detection, A |
| UC-Net: Uncertainty Inspired RGB-D Saliency Detection via Conditional Variational | autoencoder | s |
| uDAS: An Untied Denoising | autoencoder | With Sparsity for Spectral Unmixing |
| Uncertain Future: Forecasting from Static Images Using Variational | autoencoder | s, An |
| Uncertainty-based Thin Cloud Removal Network via Conditional Variational | autoencoder | s |
| Understanding Masked | autoencoder | s via Hierarchical Latent Variable Models |
| Universum | autoencoder | -Based Domain Adaptation for Speech Emotion Recognition |
| Unpriortized | autoencoder | For Image Generation |
| Unsupervised Anomaly Detection Using Variational | autoencoder | with Gaussian Random Field Prior |
| Unsupervised Building Damage Identification Using Post-Event Optical Imagery and Variational | autoencoder | |
| Unsupervised Cryo-EM Images Denoising and Clustering Based on Deep Convolutional | autoencoder | and K-Means++ |
| Unsupervised deep hashing with stacked convolutional | autoencoder | s |
| Unsupervised Deep Learning based Variational | autoencoder | Model for COVID-19 Diagnosis and Classification |
| Unsupervised Feature-Learning for Hyperspectral Data with | autoencoder | s |
| Unsupervised Fine Land Classification Using Quaternion | autoencoder | -Based Polarization Feature Extraction and Self-Organizing Mapping |
| Unsupervised image transformation for long wave infrared and visual image matching using two channel convolutional | autoencoder | network |
| Unsupervised Interpretable Pattern Discovery in Time Series Using | autoencoder | s |
| Unsupervised Learning From Limited Available Data by ß-NMF and Dual | autoencoder | |
| Unsupervised Multi-manifold Classification of Hyperspectral Remote Sensing Images with Contractive | autoencoder | |
| Unsupervised Radar Target Detection under Complex Clutter Background Based on Mixture Variational | autoencoder | |
| Unsupervised Real Image Super-Resolution via Generative Variational | autoencoder | |
| Unsupervised Satellite Image Time Series Clustering Using Object-Based Approaches and 3D Convolutional | autoencoder | |
| Unsupervised Spatial-Spectral Feature Learning by 3D Convolutional | autoencoder | for Hyperspectral Classification |
| Unsupervised Transformer Boundary | autoencoder | Network for Hyperspectral Image Change Detection |
| User Behavior Analysis Based on Stacked | autoencoder | and Clustering in Complex Power Grid Environment |
| Using an | autoencoder | in the design of an anomaly detector for smart manufacturing |
| Using deep | autoencoder | s to learn robust domain-invariant representations for still-to-video face recognition |
| Using line segments to train multi-stream stacked | autoencoder | s for image classification |
| Utilizing Variational | autoencoder | s in the Bayesian Inverse Problem of Photoacoustic Tomography |
| VAE, Variational | autoencoder | |
| Variable Rate Deep Image Compression With a Conditional | autoencoder | |
| Variable Rate Deep Image Compression With Modulated | autoencoder | |
| Variational | autoencoder | Based Unsupervised Domain Adaptation For Semantic Segmentation |
| Variational | autoencoder | for 3D Voxel Compression |
| Variational | autoencoder | for Reference based Image Super-Resolution |
| Variational | autoencoder | Inspired by Brain's Convergence-Divergence Zones for Autonomous Driving Application |
| Variational | autoencoder | s for Deforming 3D Mesh Models |
| Variational | autoencoder | s for Generating Hyperspectral Imaging Honey Adulteration Data |
| Variational | autoencoder | s for Localized Mesh Deformation Component Analysis |
| Variational | autoencoder | s Pursue PCA Directions (by Accident) |
| Variational Denoising | autoencoder | s and Least-Squares Policy Iteration for Statistical Dialogue Managers |
| Variational Diffusion | autoencoder | s with Random Walk Sampling |
| Vein-Based Biometric Verification Using Densely-Connected Convolutional | autoencoder | |
| VeNet: Hybrid Stacked | autoencoder | Learning for Cooperative Edge Intelligence in IoV |
| Video anomaly detection and localization via Gaussian Mixture Fully Convolutional Variational | autoencoder | |
| Video | autoencoder | : Self-Supervised Disentanglement of Static 3D Structure and Motion |
| Video Compression With Rate-Distortion | autoencoder | s |
| VideoMAE V2: Scaling Video Masked | autoencoder | s with Dual Masking |
| Visual tracking via ensemble | autoencoder | |
| Voice Conversion Using Learnable Similarity-guided Masked | autoencoder | |
| VTAE: Variational Transformer | autoencoder | With Manifolds Learning |
| Wasserstein Expansible Variational | autoencoder | for Discriminative and Generative Continual Learning |
| Wasserstein GAN based on | autoencoder | with back-translation for cross-lingual embedding mappings |
| Where Will They Go? Predicting Fine-Grained Adversarial Multi-agent Motion Using Conditional Variational | autoencoder | s |
| Who Do I Look Like? Determining Parent-Offspring Resemblance via Gated | autoencoder | s |
| Writer Identification in Old Music Manuscripts Using Contour-Hinge Feature and Dimensionality Reduction with an | autoencoder | |
| Y- | autoencoder | s: Disentangling latent representations via sequential encoding |
| Zero-Shot Learning Using Stacked | autoencoder | with Manifold Regularizations |
| Zero-shot learning via a specific rank-controlled semantic | autoencoder | |
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