| Unsupervised Knowledge-Transfer for Learned Image Reconstruction | Jul 6, 2021 | Image ReconstructionSSIM | —Unverified | 0 |
| Unsupervised Learning-based Depth Estimation aided Visual SLAM Approach | Jan 22, 2019 | Depth And Camera MotionDepth Estimation | —Unverified | 0 |
| Unsupervised Learning of Depth, Camera Pose and Optical Flow from Monocular Video | May 19, 2022 | Camera Pose EstimationImage Reconstruction | —Unverified | 0 |
| Unsupervised Multi-object Segmentation by Predicting Probable Motion Patterns | Oct 21, 2022 | Image ReconstructionObject | —Unverified | 0 |
| Unsupervised Object Segmentation with Explicit Localization Module | Nov 21, 2019 | Image ReconstructionObject | —Unverified | 0 |
| Unsupervised Prior Learning: Discovering Categorical Pose Priors from Videos | Oct 4, 2024 | Animal Pose EstimationDecision Making | —Unverified | 0 |
| Unsupervised Spatial-spectral Hyperspectral Image Reconstruction and Clustering with Diffusion Geometry | Apr 28, 2022 | ClusteringImage Reconstruction | —Unverified | 0 |
| Unsupervised Two-Stage Anomaly Detection | Mar 22, 2021 | Anomaly DetectionImage Reconstruction | —Unverified | 0 |
| Untrained, physics-informed neural networks for structured illumination microscopy | Jul 15, 2022 | Image ReconstructionSuper-Resolution | —Unverified | 0 |
| UnWave-Net: Unrolled Wavelet Network for Compton Tomography Image Reconstruction | Jun 5, 2024 | Computational EfficiencyComputed Tomography (CT) | —Unverified | 0 |
| Using Deep Learning for Visual Decoding and Reconstruction from Brain Activity: A Review | Aug 9, 2021 | Deep LearningImage Reconstruction | —Unverified | 0 |
| Using Spatial Diffusions for Optoacoustic Tomography Image Reconstruction | Nov 8, 2024 | Image ReconstructionSSIM | —Unverified | 0 |
| Utilizing the Structure of the Curvelet Transform with Compressed Sensing | Jul 24, 2021 | compressed sensingDenoising | —Unverified | 0 |
| Utilizing the Wavelet Transform's Structure in Compressed Sensing | Feb 11, 2020 | compressed sensingDenoising | —Unverified | 0 |
| Utilizing variational autoencoders in the Bayesian inverse problem of photoacoustic tomography | Apr 13, 2022 | BIG-bench Machine LearningImage Reconstruction | —Unverified | 0 |
| Validation and Generalizability of Self-Supervised Image Reconstruction Methods for Undersampled MRI | Jan 29, 2022 | Anatomycompressed sensing | —Unverified | 0 |
| Variable Length Variable Quality Audio Steganography | Sep 29, 2021 | Image Reconstruction | —Unverified | 0 |
| Variational based Mixed Noise Removal with CNN Deep Learning Regularization | May 21, 2018 | Deep LearningImage Reconstruction | —Unverified | 0 |
| Variational Capsule Encoder | Oct 18, 2020 | Image ReconstructionRepresentation Learning | —Unverified | 0 |
| Variational Inference for Computational Imaging Inverse Problems | Apr 12, 2019 | BIG-bench Machine LearningImage Reconstruction | —Unverified | 0 |
| Variational Inference using Implicit Distributions | Feb 27, 2017 | DenoisingDensity Ratio Estimation | —Unverified | 0 |
| Vec2Face: Scaling Face Dataset Generation with Loosely Constrained Vectors | Sep 4, 2024 | AttributeDataset Generation | —Unverified | 0 |
| Vec2Face: Unveil Human Faces from their Blackbox Features in Face Recognition | Mar 16, 2020 | BenchmarkingFace Recognition | —Unverified | 0 |
| Vec2Face-v2: Unveil Human Faces from their Blackbox Features via Attention-based Network in Face Recognition | Sep 11, 2022 | Face RecognitionFace Reconstruction | —Unverified | 0 |
| Unsupervised Image Decomposition in Vector Layers | Dec 13, 2018 | Image GenerationImage Reconstruction | —Unverified | 0 |
