map estimation

Integrating Reweighted Least Squares with Plug-and-Play Diffusion Priors for Noisy Image Restoration AAAI 2026 Inverse Problems with Diffusion Models: A MAP Estimation Perspective WACV 2025 Mind the Map! Accounting for Existing Maps When Estimating Online HDMaps from Sensors WACV 2025 Rethinking Diffusion Posterior Sampling: From Conditional Score Estimator to Maximizing a Posterior ICLR 2025 Backward Filtering Forward Deciding in Linear Non-Gaussian State Space Models AISTATS 2024 VQ-Map: Bird's-Eye-View Map Layout Estimation in Tokenized Discrete Space via Vector Quantization NeurIPS 2024 Prototypes-oriented Transductive Few-shot Learning with Conditional Transport ICCV 2023 Restoration based Generative Models ICML 2023 Deep Gaussian Scale Mixture Prior for Spectral Compressive Imaging CVPR 2021 Instance-Optimal Compressed Sensing via Posterior Sampling ICML 2021 Learning Spatially-Variant MAP Models for Non-Blind Image Deblurring CVPR 2021 Efficient semidefinite-programming-based inference for binary and multi-class MRFs NeurIPS 2020 DeepMapping: Unsupervised Map Estimation From Multiple Point Clouds CVPR 2019 Dichromatic Model Based Temporal Color Constancy for AC Light Sources CVPR 2019 Reflective and Fluorescent Separation Under Narrow-Band Illumination CVPR 2019 Noise-Blind Image Deblurring CVPR 2017 Discriminative Learning of Iteration-Wise Priors for Blind Deconvolution CVPR 2015 MAP Disparity Estimation Using Hidden Markov Trees ICCV 2015 A Bayesian Framework For the Local Configuration of Retinal Junctions CVPR 2014 Analysis of Empirical MAP and Empirical Partially Bayes: Can They be Alternatives to Variational Bayes? AISTATS 2014 Dual online inference for latent Dirichlet allocation ACML 2014 Interval Tracker: Tracking by Interval Analysis CVPR 2014 Revisiting Bayesian Blind Deconvolution JMLR 2014 Approximate Gaussian process inference for the drift function in stochastic differential equations NeurIPS 2013 Unnatural L0 Sparse Representation for Natural Image Deblurring CVPR 2013