| A Generalized Kernel Risk Sensitive Loss for Robust Two-Dimensional Singular Value Decomposition | May 10, 2020 | ClusteringImage Reconstruction | —Unverified | 0 | 0 |
| A Geometry-Informed Deep Learning Framework for Ultra-Sparse 3D Tomographic Image Reconstruction | May 25, 2021 | Deep LearningImage Reconstruction | —Unverified | 0 | 0 |
| AH-GS: Augmented 3D Gaussian Splatting for High-Frequency Detail Representation | Mar 28, 2025 | Image Reconstruction | —Unverified | 0 | 0 |
| A hierarchical approach to deep learning and its application to tomographic reconstruction | Dec 16, 2019 | Computational EfficiencyComputed Tomography (CT) | —Unverified | 0 | 0 |
| AIR-DA: Adversarial Image Reconstruction for Unsupervised Domain Adaptive Object Detection | Mar 27, 2023 | Image Reconstructionobject-detection | —Unverified | 0 | 0 |
| A Joint Morphological Profiles and Patch Tensor Change Detection for Hyperspectral Imagery | Jan 20, 2022 | Change DetectionImage Reconstruction | —Unverified | 0 | 0 |
| A kernel Principal Component Analysis (kPCA) digest with a new backward mapping (pre-image reconstruction) strategy | Jan 7, 2020 | Dimensionality ReductionImage Reconstruction | —Unverified | 0 | 0 |
| A Learning-Based 3D EIT Image Reconstruction Method | Aug 30, 2022 | Image Reconstruction | —Unverified | 0 | 0 |
| Algorithm-driven Advances for Scientific CT Instruments: From Model-based to Deep Learning-based Approaches | Apr 16, 2021 | Computed Tomography (CT)Image Reconstruction | —Unverified | 0 | 0 |
| Fast and Accurate: Video Enhancement using Sparse Depth | Mar 15, 2021 | DeblurringDenoising | —Unverified | 0 | 0 |
