Wipf, D.[David]
* 2012: Learning sparse covariance patterns for natural scenes
* 2012: Robust photometric stereo using sparse regression
* 2013: Multi-image Blind Deblurring Using a Coupled Adaptive Sparse Prior
* 2013: Practical Transfer Learning Algorithm for Face Verification, A
* 2014: Multi-Observation Blind Deconvolution with an Adaptive Sparse Prior
* 2014: Photometric Stereo Using Sparse Bayesian Regression for General Diffuse Surfaces
* 2015: Unsupervised Extraction of Video Highlights via Robust Recurrent Auto-Encoders
* 2017: Efficient Joint Formulation for Bayesian Face Verification, An
* 2017: Generic Deep Architecture for Single Image Reflection Removal and Image Smoothing, A
* 2018: Revisiting Deep Intrinsic Image Decompositions
* 2019: Face Video Deblurring Using 3D Facial Priors
* 2019: Single Image Reflection Removal Exploiting Misaligned Training Data and Network Enhancements
* 2021: Learning Hierarchical Graph Neural Networks for Image Clustering
* 2021: Sparse Multi-Path Corrections in Fringe Projection Profilometry
* 2022: Face Restoration via Plug-and-Play 3D Facial Priors
Includes: Wipf, D.[David] Wipf, D.
15 for Wipf, D.
Wipf, D.P.
* 2005: Lane Change Intent Analysis Using Robust Operators and Sparse Bayesian Learning
* 2007: Lane Change Intent Analysis Using Robust Operators and Sparse Bayesian Learning
* 2023: Learning Graph Variational Autoencoders with Constraints and Structured Priors for Conditional Indoor 3D Scene Generation
* 2023: Sparse Bayesian Learning for End-to-End EEG Decoding
Includes: Wipf, D.P. Wipf, D.P.[David Paul]