Franchi, Gianni

21 publications

TMLR 2026 Enhancing Concept Localization in CLIP-Based Concept Bottleneck Models Rémi Kazmierczak, Steve Azzolin, Goran Frehse, Eloïse Berthier, Gianni Franchi

ICCV 2025 Collaborative Instance Object Navigation: Leveraging Uncertainty-Awareness to Minimize Human-Agent Dialogues Francesco Taioli, Edoardo Zorzi, Gianni Franchi, Alberto Castellini, Alessandro Farinelli, Marco Cristani, Yiming Wang

NeurIPS 2025 Double Descent Meets Out-of-Distribution Detection: Theoretical Insights and Empirical Analysis on the Role of Model Complexity Mouin Ben Ammar, David Brellmann, Arturo Mendoza, Antoine Manzanera, Gianni Franchi

WACV 2025 Hierarchical Light Transformer Ensembles for Multimodal Trajectory Forecasting Adrien Lafage, Mathieu Barbier, Gianni Franchi, David Filliat

NeurIPS 2025 Torch-Uncertainty: Deep Learning Uncertainty Quantification Adrien Lafage, Olivier Laurent, Firas Gabetni, Gianni Franchi

ICLR 2025 Towards Understanding Why Label Smoothing Degrades Selective Classification and How to Fix It Guoxuan Xia, Olivier Laurent, Gianni Franchi, Christos-Savvas Bouganis

CVPR 2025 Towards Understanding and Quantifying Uncertainty for Text-to-Image Generation Gianni Franchi, Nacim Belkhir, Dat Nguyen Trong, Guoxuan Xia, Andrea Pilzer

ICLR 2024 A Symmetry-Aware Exploration of Bayesian Neural Network Posteriors Olivier Laurent, Emanuel Aldea, Gianni Franchi

TMLR 2024 CLIP-QDA: An Explainable Concept Bottleneck Model Rémi Kazmierczak, Eloïse Berthier, Goran Frehse, Gianni Franchi

AAAI 2024 Discretization-Induced Dirichlet Posterior for Robust Uncertainty Quantification on Regression Xuanlong Yu, Gianni Franchi, Jindong Gu, Emanuel Aldea

NeurIPS 2024 Frustratingly Easy Test-Time Adaptation of Vision-Language Models Matteo Farina, Gianni Franchi, Giovanni Iacca, Massimiliano Mancini, Elisa Ricci

WACV 2024 InfraParis: A Multi-Modal and Multi-Task Autonomous Driving Dataset Gianni Franchi, Marwane Hariat, Xuanlong Yu, Nacim Belkhir, Antoine Manzanera, David Filliat

WACV 2024 Learning to Generate Training Datasets for Robust Semantic Segmentation Marwane Hariat, Olivier Laurent, Rémi Kazmierczak, Shihao Zhang, Andrei Bursuc, Angela Yao, Gianni Franchi

CVPR 2024 Make Me a BNN: A Simple Strategy for Estimating Bayesian Uncertainty from Pre-Trained Models Gianni Franchi, Olivier Laurent, Maxence Leguery, Andrei Bursuc, Andrea Pilzer, Angela Yao

ICLR 2024 NECO: NEural Collapse Based Out-of-Distribution Detection Mouïn Ben Ammar, Nacim Belkhir, Sebastian Popescu, Antoine Manzanera, Gianni Franchi

ICLR 2024 Scaling for Training Time and Post-Hoc Out-of-Distribution Detection Enhancement Kai Xu, Rongyu Chen, Gianni Franchi, Angela Yao

ICLR 2023 Packed Ensembles for Efficient Uncertainty Estimation Olivier Laurent, Adrien Lafage, Enzo Tartaglione, Geoffrey Daniel, Jean-marc Martinez, Andrei Bursuc, Gianni Franchi

ICCVW 2023 The Robust Semantic Segmentation UNCV2023 Challenge Results Xuanlong Yu, Yi Zuo, Zitao Wang, Xiaowen Zhang, Jiaxuan Zhao, Yuting Yang, Licheng Jiao, Rui Peng, Xinyi Wang, Junpei Zhang, Kexin Zhang, Fang Liu, Roberto Alcover-Couso, Juan C. SanMiguel, Marcos Escudero-Viñolo, Hanlin Tian, Kenta Matsui, Tianhao Wang, Fahmy Adan, Zhitong Gao, Xuming He, Quentin Bouniot, Hossein Moghaddam, Shyam Nandan Rai, Fabio Cermelli, Carlo Masone, Andrea Pilzer, Elisa Ricci, Andrei Bursuc, Arno Solin, Martin Trapp, Rui Li, Angela Yao, Wenlong Chen, Ivor Simpson, Neill D. F. Campbell, Gianni Franchi

ECCV 2022 Latent Discriminant Deterministic Uncertainty Gianni Franchi, Xuanlong Yu, Andrei Bursuc, Emanuel Aldea, Severine Dubuisson, David Filliat

ECCV 2020 TRADI: Tracking Deep Neural Network Weight Distributions Gianni Franchi, Andrei Bursuc, Emanuel Aldea, Séverine Dubuisson, Isabelle Bloch

WACV 2018 Segmentation and Shape Extraction from Convolutional Neural Networks Mai Lan Ha, Gianni Franchi, Michael Möller, Andreas Kolb, Volker Blanz