Giry Fouquet, E.[Erwan]
* 2021: Fast estimation for robust supervised classification with mixture models
Giryes, R.[Raja]
* 2014: Sparsity based poisson inpainting
* 2014: Sparsity-Based Poisson Denoising With Dictionary Learning
* 2015: Sparsity Based Methods for Overparameterized Variational Problems
* 2016: Poisson inverse problems by the Plug-and-Play scheme
* 2016: Postprocessing of Compressed Images via Sequential Denoising
* 2017: Deep class-aware image denoising
* 2018: Class-Aware Fully Convolutional Gaussian and Poisson Denoising
* 2018: Improving DNN Robustness to Adversarial Attacks Using Jacobian Regularization
* 2018: Iterative Denoising and Backwards Projections Method and its Advantages for Blind Deblurring, An
* 2019: Blind Visual Motif Removal From a Single Image
* 2019: DeepISP: Toward Learning an End-to-End Image Processing Pipeline
* 2019: Greedy Approach to Ll_(0,inf)-Based Convolutional Sparse Coding, A
* 2019: Image Restoration by Iterative Denoising and Backward Projections
* 2019: LaSO: Label-Set Operations Networks for Multi-Label Few-Shot Learning
* 2019: Lautum Regularization for Semi-Supervised Transfer Learning
* 2019: RepMet: Representative-Based Metric Learning for Classification and Few-Shot Object Detection
* 2019: Super-Resolution via Image-Adapted Denoising CNNs: Incorporating External and Internal Learning
* 2020: Back-Projection Based Fidelity Term for Ill-Posed Linear Inverse Problems
* 2020: Best Buddies Registration for Point Clouds
* 2020: Correction Filter for Single Image Super-Resolution: Robustifying Off-the-Shelf Deep Super-Resolvers
* 2020: Detecting Adversarial Samples Using Influence Functions and Nearest Neighbors
* 2020: Face Authentication From Grayscale Coded Light Field
* 2020: PointGMM: A Neural GMM Network for Point Clouds
* 2020: Supervised and Unsupervised Learning of Parameterized Color Enhancement
* 2020: Tafssl: Task-adaptive Feature Sub-space Learning for Few-shot Classification
* 2021: DeepBBS: Deep Best Buddies for Point Cloud Registration
* 2021: Detector-Free Weakly Supervised Grounding by Separation
* 2021: Fine-grained Angular Contrastive Learning with Coarse Labels
* 2021: Interpretation of Regularization by Denoising and Its Application with the Back-Projected Fidelity Term, An
* 2021: MetAdapt: Meta-learned task-adaptive architecture for few-shot classification
* 2021: MISS GAN: A Multi-IlluStrator style generative adversarial network for image to illustration translation
* 2021: On the Convergence Rate of Projected Gradient Descent for a Back-Projection Based Objective
* 2022: Baby steps towards few-shot learning with multiple semantics
* 2022: Cluster with GANs
* 2022: FLEX: Extrinsic Parameters-free Multi-View 3D Human Motion Reconstruction
* 2022: Image Restoration by Deep Projected GSURE
* 2022: Self Supervised StyleGAN for Image Annotation and Classification With Extremely Limited Labels, A
* 2022: Unsupervised Domain Generalization by Learning a Bridge Across Domains
* 2022: Utilizing Excess Resources in Training Neural Networks
* 2023: Function Space Analysis of Finite Neural Networks With Insights From Sampling Theory, A
* 2023: Latent-NeRF for Shape-Guided Generation of 3D Shapes and Textures
* 2023: Physics-Driven Machine Learning for Computational Imaging: Part 2
* 2023: Set-the-Scene: Global-Local Training for Generating Controllable NeRF Scenes
* 2023: Teaching Structured Vision and Language Concepts to Vision and Language Models
* 2024: MAEDAY: MAE for few- and zero-shot AnomalY-Detection
* 2024: Membership Inference Attack Using Self Influence Functions
* 2024: Simple Post-Training Robustness using Test Time Augmentations and Random Forest
Includes: Giryes, R.[Raja] Giryes, R.
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