| 2026 | AAAI | Benchmarking XAI Explanations with Human-Aligned Evaluations. | Rmi Kazmierczak, Steve Azzolin, Elose Berthier, Anna Hedstrm, Patricia Delhomme, David Filliat, Nicolas Bousquet, Goran Frehse, Massimiliano Mancini, Baptiste Caramiaux, Andrea Passerini, Gianni Franchi |
| 2025 | CVPR | Towards Understanding and Quantifying Uncertainty for Text-to-Image Generation. | Gianni Franchi, Nacim Belkhir, Dat Nguyen Trong, Guoxuan Xia, Andrea Pilzer |
| 2025 | ICCV | COOkeD: Ensemble-Based OOD Detection in the Era of Zero-Shot CLIP. | Galadrielle Humblot-Renaux, Gianni Franchi, Sergio Escalera, Thomas B. Moeslund |
| 2025 | ICCV | 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 |
| 2025 | ICLR | Towards Understanding Why Label Smoothing Degrades Selective Classification and How to Fix It. | Guoxuan Xia, Olivier Laurent, Gianni Franchi, Christos-Savvas Bouganis |
| 2025 | WACV | Hierarchical Light Transformer Ensembles for Multimodal Trajectory Forecasting. | Adrien Lafage, Mathieu Barbier, Gianni Franchi, David Filliat |
| 2024 | AAAI | Discretization-Induced Dirichlet Posterior for Robust Uncertainty Quantification on Regression. | Xuanlong Yu, Gianni Franchi, Jindong Gu, Emanuel Aldea |
| 2024 | CVPR | Make Me a BNN: A Simple Strategy for Estimating Bayesian Uncertainty from Pre-trained Models. | Gianni Franchi, Olivier Laurent, Maxence Legury, Andrei Bursuc, Andrea Pilzer, Angela Yao |
| 2024 | ICLR | A Symmetry-Aware Exploration of Bayesian Neural Network Posteriors. | Olivier Laurent, Emanuel Aldea, Gianni Franchi |
| 2024 | ICLR | NECO: NEural Collapse Based Out-of-distribution detection. | Moun Ben Ammar, Nacim Belkhir, Sebastian Popescu, Antoine Manzanera, Gianni Franchi |
| 2024 | ICLR | Scaling for Training Time and Post-hoc Out-of-distribution Detection Enhancement. | Kai Xu, Rongyu Chen, Gianni Franchi, Angela Yao |
| 2024 | WACV | InfraParis: A multi-modal and multi-task autonomous driving dataset. | Gianni Franchi, Marwane Hariat, Xuanlong Yu, Nacim Belkhir, Antoine Manzanera, David Filliat |
| 2024 | WACV | Learning to generate training datasets for robust semantic segmentation. | Marwane Hariat, Olivier Laurent, Rmi Kazmierczak, Shihao Zhang, Andrei Bursuc, Angela Yao, Gianni Franchi |
| 2023 | ICLR | Packed Ensembles for efficient uncertainty estimation. | Olivier Laurent, Adrien Lafage, Enzo Tartaglione, Geoffrey Daniel, Jean-Marc Martinez, Andrei Bursuc, Gianni Franchi |
| 2022 | BMVC | MUAD: Multiple Uncertainties for Autonomous Driving, a benchmark for multiple uncertainty types and tasks. | Gianni Franchi, Xuanlong Yu, Andrei Bursuc, ngel Tena, Rmi Kazmierczak, Sverine Dubuisson, Emanuel Aldea, David Filliat |
| 2022 | ECCV | Latent Discriminant Deterministic Uncertainty. | Gianni Franchi, Xuanlong Yu, Andrei Bursuc, Emanuel Aldea, Sverine Dubuisson, David Filliat |
| 2022 | ICIP | On Monocular Depth Estimation and Uncertainty Quantification Using Classification Approaches for Regression. | Xuanlong Yu, Gianni Franchi, Emanuel Aldea |
| 2021 | BMVC | Robust Semantic Segmentation with Superpixel-Mix. | Gianni Franchi, Nacim Belkhir, Mai Lan Ha, Yufei Hu, Andrei Bursuc, Volker Blanz, Angela Yao |
| 2021 | BMVC | SLURP: Side Learning Uncertainty for Regression Problems. | Xuanlong Yu, Gianni Franchi, Emanuel Aldea |
| 2020 | ECCV | TRADI: Tracking Deep Neural Network Weight Distributions. | Gianni Franchi, Andrei Bursuc, Emanuel Aldea, Sverine Dubuisson, Isabelle Bloch |
| 2020 | ICIP | Tracking Hundreds of People in Densely Crowded Scenes With Particle Filtering Supervising Deep Convolutional Neural Networks. | Gianni Franchi, Emanuel Aldea, Sverine Dubuisson, Isabelle Bloch |
| 2019 | AVSS | Crowd Behavior Characterization for Scene Tracking. | Gianni Franchi, Emanuel Aldea, Sverine Dubuisson, Isabelle Bloch |
| 2018 | WACV | Segmentation and Shape Extraction from Convolutional Neural Networks. | Mai Lan Ha, Gianni Franchi, Michael Mller, Andreas Kolb, Volker Blanz |
| 2016 | ICIP | A deep spatial/spectral descriptor of hyperspectral texture using scattering transform. | Gianni Franchi, Jess Angulo |
| 2016 | ICIP | Hyperspectral image classification with support vector machines on kernel distribution embeddings. | Gianni Franchi, Jess Angulo, Dino Sejdinovic |
| 2015 | ISMM | Ordering on the Probability Simplex of Endmembers for Hyperspectral Morphological Image Processing. | Gianni Franchi, Jess Angulo |
| 2015 | ISMM | Bagging Stochastic Watershed on Natural Color Image Segmentation. | Gianni Franchi, Jess Angulo |
| 2014 | ICPR | Spatially-Variant Area Openings for Reference-Driven Adaptive Contour Preserving Filtering. | Gianni Franchi, Jess Angulo |