Particle Filtering for Online Space-Varying Blur Identification. - Yunshi Huang; Emilie Chouzenoux; Víctor Elvira (CAMSAP, 2019)

Probabilistic Modeling and Inference for Sequential Space-Varying Blur Identification. - Yunshi Huang; Emilie Chouzenoux; Víctor Elvira (IEEE Trans. Computational Imaging, 2021)

Bayesian inference for image deblurring at a large scale. (Inférence bayésienne pour la restauration d'images en grande dimension). - Yunshi Huang (2022)

Unrolled Variational Bayesian Algorithm for Image Blind Deconvolution. - Yunshi Huang; Emilie Chouzenoux; Jean-Christophe Pesquet (IEEE Trans. Image Process., 2023)

Efficient bayes inference in neural networks through adaptive importance sampling. - Yunshi Huang; Emilie Chouzenoux; Víctor Elvira; Jean-Christophe Pesquet (J. Frankl. Inst., 2023)

LP++: A Surprisingly Strong Linear Probe for Few-Shot CLIP. - Yunshi Huang; Fereshteh Shakeri; Jose Dolz; Malik Boudiaf; Houda Bahig; Ismail Ben Ayed (CVPR, 2024)

Transductive Zero-Shot and Few-Shot CLIP. - Ségolène Martin; Yunshi Huang; Fereshteh Shakeri; Jean-Christophe Pesquet; Ismail Ben Ayed (CVPR, 2024)

Few-Shot Adaptation of Medical Vision-Language Models. - Fereshteh Shakeri; Yunshi Huang; Julio Silva-Rodríguez; Houda Bahig; An Tang; Jose Dolz; Ismail Ben Ayed (MICCAI (12), 2024)

Boosting Vision-Language Models for Histopathology Classification: Predict All at Once. - Maxime Zanella; Fereshteh Shakeri; Yunshi Huang; Houda Bahig; Ismail Ben Ayed (MedAGI@MICCAI, 2024)