Xuanlong Yu completed his Ph.D. in 2023 at Université Paris-Saclay and ENSTA Paris, Institut Polytechnique de Paris, France, under the supervision of Emanuel Aldea and Gianni Franchi. His research interests lie in AI safety, specifically uncertainty quantification in deep learning, as well as multimodal learning.

Xuanlong is looking for an R&D position in industry or a postdoc position in any area over the world.

Recent News

03/2024 One paper (SURE) is accepted at CVPR 2024, thanks to all the co-authors!
11/12/2023 I successfully defended my Ph.D. dissertation “Uncertainty quantification for vision regression tasks” PDF. Thank all the members of the jury, my dear supervisors, colleagues, friends and my parents.
09/12/2023 One paper (DIDO) is accepted at AAAI 2024, thanks to all the co-authors!
10/2023 Our dataset paper InfraParis is accepted as Oral presentation at WACV 2024, thanks to all the co-authors! The dataset contains RGB, Depth and Infrared images captured in the Paris area with manual semantic segmentation annotations. You may find more details here.
05/2023 Happy to announce that the MUAD challenge is now on board at UNCV Workshop, ICCV 2023.
04/05/2023 Honored to give a talk at SCAI, Sorbonne Université on “Towards scalable uncertainty estimation with deterministic methods, and their fair evaluation” PDF.
03/2023 - 04/2023 One-month pleasant visit at Leiden University.

Education

2020-2023 Ph.D. in signal and image processing sciences at Université Paris-Saclay, France
2017-2020 M.Eng. in image processing at Télécom Saint-Etienne, France
2014-2018 B.Eng. in telecommunication engineering at Xidian University, China

Publications and pre-prints

Discretization-Induced Dirichlet Posterior for Robust Uncertainty Quantification on Regression PDF github
Xuanlong Yu, Gianni Franchi, Jindong Gu, Emanuel Aldea
The 38th Annual AAAI Conference on Artificial Intelligence (AAAI), 2024

InfraParis: A multi-modal and multi-task autonomous driving dataset PDF website
Gianni Franchi, Marwane Hariat, Xuanlong Yu, Nacim Belkhir, Antoine Manzanera, David Filliat
IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2024 (Oral)

The Robust Semantic Segmentation UNCV2023 Challenge Results PDF
Xuanlong Yu, et al. (full author list is provided in the [publications] page)
International Conference on Computer Vision Workshop (ICCVW), 2023

MUAD: Multiple Uncertainties for Autonomous Driving, a benchmark for multiple uncertainty types and tasks PDF website
Gianni Franchi*, Xuanlong Yu*, Andrei Bursuc, Angel Tena, Rémi Kazmierczak, Séverine Dubuisson, Emanuel Aldea, David Filliat
British Machine Vision Conference (BMVC), 2022

Latent Discriminant deterministic Uncertainty PDF github
Gianni Franchi*, Xuanlong Yu*, Andrei Bursuc, Emanuel Aldea, Severine Dubuisson, David Filliat
European Conference on Computer Vision (ECCV), 2022

On Monocular Depth Estimation and Uncertainty Quantification using Classification Approaches for Regression PDF
Xuanlong Yu, Gianni Franchi, Emanuel Aldea
IEEE International Conference on Image Processing (ICIP), 2022 (Oral)

SLURP: Side Learning Uncertainty for Regression Problems PDF github
Xuanlong Yu, Gianni Franchi, Emanuel Aldea
British Machine Vision Conference (BMVC), 2021

*equal contribution

Academic services

Reviewer: CVPR 2024, ICPR 2024, ICCVW 2023, MVA 2023, IEEE TPAMI, IEEE TMM
Organizer: MUAD challenge at UNCV workshop, ICCV 2023.