Publications and pre-prints
From Misclassifications to Outliers: Joint Reliability Assessment for Classification [PDF]
Yang Li, Youyang Sha, Yinzhi Wang, Timothy Hospedales, Xi Shen, Shell Xu Hu✉, Xuanlong Yu✉
arxiv, 2026
A Closer Look at Cross-Domain Few-Shot Object Detection: Fine-Tuning Matters and Parallel Decoder Helps [PDF]
Xuanlong Yu, Youyang Sha, Longfei Liu, Xi Shen✉, Di Yang✉
The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2026
MoVie: Broaden Your Views with Human Motion for Action Detection [PDF]
Di Yang, Mahmoud Ali, Xuanlong Yu, Xi Shen, Quan Kong, Gianpiero Francesca, Francois Bremond✉
The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2026
FSOD-VFM: Few-Shot Object Detection with Vision Foundation Models and Graph Diffusion [PDF]
Chen-Bin Feng*, Youyang Sha*, Longfei Liu, Yongjun Yu, Chi Man Vong✉, Xuanlong Yu✉, Xi Shen✉
The Fourteenth International Conference on Learning Representations (ICLR), 2026
On the Calibration of Human Pose Estimation [PDF]
Kerui Gu*, Rongyu Chen*, Xuanlong Yu, Angela Yao✉
The International Conference on Machine Learning (ICML), 2024
SURE: SUrvey REcipes for building reliable and robust deep networks [PDF] [github]
Yuting Li, Yingyi Chen, Xuanlong Yu, Dexiong Chen, Xi Shen✉
The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024
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]
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, 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-Vinolo, 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, and Gianni Franchi✉
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; ✉ corresponding author