Essid, Slim

8 publications

NeurIPS 2024 An Eye for an Ear: Zero-Shot Audio Description Leveraging an Image Captioner with Audio-Visual Token Distribution Matching Hugo Malard, Michel Olvera, Stéphane Lathuiliere, Slim Essid

NeurIPS 2024 Annealed Multiple Choice Learning: Overcoming Limitations of Winner-Takes-All with Annealing David Perera, Victor Letzelter, Théo Mariotte, Adrien Cortés, Mickael Chen, Slim Essid, Gaël Richard

CVPR 2024 Collaborating Foundation Models for Domain Generalized Semantic Segmentation Yasser Benigmim, Subhankar Roy, Slim Essid, Vicky Kalogeiton, Stéphane Lathuilière

ICML 2024 Winner-Takes-All Learners Are Geometry-Aware Conditional Density Estimators Victor Letzelter, David Perera, Cédric Rommel, Mathieu Fontaine, Slim Essid, Gaël Richard, Patrick Perez

CVPRW 2023 One-Shot Unsupervised Domain Adaptation with Personalized Diffusion Models Yasser Benigmim, Subhankar Roy, Slim Essid, Vicky Kalogeiton, Stéphane Lathuilière

NeurIPS 2023 Resilient Multiple Choice Learning: A Learned Scoring Scheme with Application to Audio Scene Analysis Victor Letzelter, Mathieu Fontaine, Mickael Chen, Patrick Pérez, Slim Essid, Gaël Richard

ICML 2018 Structured Output Learning with Abstention: Application to Accurate Opinion Prediction Alexandre Garcia, Chloé Clavel, Slim Essid, Florence d’Alche-Buc

CVPRW 2018 Weakly Supervised Representation Learning for Unsynchronized Audio-Visual Events Sanjeel Parekh, Slim Essid, Alexey Ozerov, Ngoc Q. K. Duong, Patrick Pérez, Gaël Richard