Xuanlong Yu

According to our database, Xuanlong Yu authored at least 11 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

InfraParis: A multi-modal and multi-task autonomous driving dataset.

Gianni Franchi, Marwane Hariat, Xuanlong Yu, Nacim Belkhir, Antoine Manzanera, David Filliat

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

On the Calibration of Human Pose Estimation.

Kerui Gu, Rongyu Chen, Xuanlong Yu, Angela Yao

Proceedings of the Forty-first International Conference on Machine Learning, 2024

SURE: SUrvey REcipes for Building Reliable and Robust Deep Networks.

Yuting Li, Yingyi Chen, Xuanlong Yu, Dexiong Chen, Xi Shen

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Discretization-Induced Dirichlet Posterior for Robust Uncertainty Quantification on Regression.

Xuanlong Yu, Gianni Franchi, Jindong Gu, Emanuel Aldea

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

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

Xuanlong Yu

PhD thesis, 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

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

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

On Monocular Depth Estimation and Uncertainty Quantification Using Classification Approaches for Regression.

Xuanlong Yu, Gianni Franchi, Emanuel Aldea

Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

Latent Discriminant Deterministic Uncertainty.

Gianni Franchi, Xuanlong Yu, Andrei Bursuc, Emanuel Aldea, Séverine Dubuisson, David Filliat

Proceedings of the Computer Vision - ECCV 2022, 2022

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

Proceedings of the 33rd British Machine Vision Conference 2022, 2022

2021

SLURP: Side Learning Uncertainty for Regression Problems.

Xuanlong Yu, Gianni Franchi, Emanuel Aldea

Proceedings of the 32nd British Machine Vision Conference 2021, 2021