SLURP: Side Learning Uncertainty for Regression Problems. - Xuanlong Yu; Gianni Franchi; Emanuel Aldea (BMVC, 2021)

MUAD: Multiple Uncertainties for Autonomous Driving, a benchmark for multiple uncertainty types and tasks. - Gianni Franchi; Xuanlong Yu; Andrei Bursuc; Ángel Tena; Rémi Kazmierczak; Séverine Dubuisson; Emanuel Aldea; David Filliat (BMVC, 2022)

Latent Discriminant Deterministic Uncertainty. - Gianni Franchi; Xuanlong Yu; Andrei Bursuc; Emanuel Aldea; Séverine Dubuisson; David Filliat (ECCV (12), 2022)

On Monocular Depth Estimation and Uncertainty Quantification Using Classification Approaches for Regression. - Xuanlong Yu; Gianni Franchi; Emanuel Aldea (ICIP, 2022)

MUAD: Multiple Uncertainties for Autonomous Driving benchmark for multiple uncertainty types and tasks. - Gianni Franchi; Xuanlong Yu; Andrei Bursuc; Rémi Kazmierczak; Séverine Dubuisson; Emanuel Aldea; David Filliat (CoRR, 2022)

The Robust Semantic Segmentation UNCV2023 Challenge Results. - Xuanlong Yu; Yi Zuo; Zitao Wang; Xiaowen Zhang; Jiaxuan Zhao; Yuting Yang 008; Licheng Jiao; Rui Peng; Xinyi Wang; Junpei Zhang; Kexin Zhang 003; Fang Liu 001; et al. (ICCV (Workshops), 2023)

Uncertainty quantification for vision regression tasks. (Quantification d'incertitude pour les tâches de régression visuelle). - Xuanlong Yu (2023)

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

SURE: SUrvey REcipes for Building Reliable and Robust Deep Networks. - Yuting Li; Yingyi Chen; Xuanlong Yu; Dexiong Chen; Xi Shen 001 (CVPR, 2024)

On the Calibration of Human Pose Estimation. - Kerui Gu; Rongyu Chen; Xuanlong Yu; Angela Yao (ICML, 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)