| 2024 | AAAI | Discretization-Induced Dirichlet Posterior for Robust Uncertainty Quantification on Regression. | Xuanlong Yu, Gianni Franchi, Jindong Gu, Emanuel Aldea |
| 2024 | CVPR | SURE: SUrvey REcipes for Building Reliable and Robust Deep Networks. | Yuting Li, Yingyi Chen, Xuanlong Yu, Dexiong Chen, Xi Shen |
| 2024 | ICML | On the Calibration of Human Pose Estimation. | Kerui Gu, Rongyu Chen, Xuanlong Yu, 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 |
| 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 | SLURP: Side Learning Uncertainty for Regression Problems. | Xuanlong Yu, Gianni Franchi, Emanuel Aldea |