Showing 1–20 of 101 results
/ Date/ Name
Jul 12, 2021R3L: Connecting Deep Reinforcement Learning to Recurrent Neural Networks for Image Denoising via Residual RecoveryJun 14, 2017When Image Denoising Meets High-Level Vision Tasks: A Deep Learning ApproachJan 14, 2021Joint Dimensionality Reduction for Separable Embedding EstimationNov 19, 2015FRIST - Flipping and Rotation Invariant Sparsifying Transform Learning and ApplicationsMar 29, 2020A Set-Theoretic Study of the Relationships of Image Models and Priors for Restoration ProblemsOct 3, 2017VIDOSAT: High-dimensional Sparsifying Transform Learning for Online Video DenoisingJun 24, 2020Exploiting Non-Local Priors via Self-Convolution For Highly-Efficient Image RestorationMar 25, 2019Transform Learning for Magnetic Resonance Image Reconstruction: From Model-based Learning to Building Neural NetworksAug 3, 2018The Power of Complementary Regularizers: Image Recovery via Transform Learning and Low-Rank ModelingJul 14, 2020Attentive Graph Neural Networks for Few-Shot LearningJul 6, 2018From Rank Estimation to Rank Approximation: Rank Residual Constraint for Image RestorationAug 2, 2020Removing Backdoor-Based Watermarks in Neural Networks with Limited DataOct 15, 2021Adversarial Purification through Representation DisentanglementJan 10, 2022Enhancing Low-Light Images in Real World via Cross-Image DisentanglementDec 20, 2022Temporal Output Discrepancy for Loss Estimation-based Active LearningMay 15, 2023Denoising Diffusion Models for Plug-and-Play Image RestorationFeb 16, 2024Make a Cheap Scaling: A Self-Cascade Diffusion Model for Higher-Resolution AdaptationFeb 3, 2025Towards Robust and Reliable Concept Representations: Reliability-Enhanced Concept Embedding ModelFeb 25, 2023Raw Image Reconstruction with Learned Compact MetadataMar 31, 2023Towards Adversarially Robust Continual Learning