Xuanlong Yu

25 papers A* 3A 3B 1Journal 15Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
A Closer Look at Cross-Domain Few-Shot Object Detection: Fine-Tuning Matters and Parallel Decoder Helps.
CoRR
Xuanlong Yu, Youyang Sha, Longfei Liu, Xi Shen, Di Yang
2026 J jnl
EdgeCrafter: Compact ViTs for Edge Dense Prediction via Task-Specialized Distillation.
CoRR
Longfei Liu, Yongjie Hou, Yang Li, Qirui Wang, Youyang Sha, Yongjun Yu, Yinzhi Wang, Peizhe Ru, Xuanlong Yu, Xi Shen
2026 J jnl
FSOD-VFM: Few-Shot Object Detection with Vision Foundation Models and Graph Diffusion.
CoRR
Chen-Bin Feng, Youyang Sha, Longfei Liu, Yongjun Yu, Chi Man Vong, Xuanlong Yu, Xi Shen
2026 J jnl
From Misclassifications to Outliers: Joint Reliability Assessment in Classification.
CoRR
Yang Li, Youyang Sha, Yinzhi Wang, Timothy M. Hospedales, Xi Shen, Shell Xu Hu, Xuanlong Yu
2026 J jnl
OV-DEIM: Real-time DETR-Style Open-Vocabulary Object Detection with GridSynthetic Augmentation.
CoRR
Leilei Wang, Longfei Liu, Xi Shen, Xuanlong Yu, Ying Tiffany He, Fei Richard Yu, Yingyi Chen
2025 J jnl
Real-Time Object Detection Meets DINOv3.
CoRR
Shihua Huang, Yongjie Hou, Longfei Liu, Xuanlong Yu, Xi Shen
2025 J jnl
SKEL-CF: Coarse-to-Fine Biomechanical Skeleton and Surface Mesh Recovery.
CoRR
Da Li, Jiping Jin, Xuanlong Yu, Wei Liu, Xiaodong Cun, Kai Chen, Rui Fan, Jiangang Kong, Xi Shen
2024 A* conf
Discretization-Induced Dirichlet Posterior for Robust Uncertainty Quantification on Regression.
AAAI
Xuanlong Yu, Gianni Franchi, Jindong Gu, Emanuel Aldea
2024 A conf
InfraParis: A multi-modal and multi-task autonomous driving dataset.
WACV
Gianni Franchi, Marwane Hariat, Xuanlong Yu, Nacim Belkhir, Antoine Manzanera, David Filliat
2024 A* conf
On the Calibration of Human Pose Estimation.
ICML
Kerui Gu, Rongyu Chen, Xuanlong Yu, Angela Yao
2024 A* conf
SURE: SUrvey REcipes for Building Reliable and Robust Deep Networks.
CVPR
Yuting Li, Yingyi Chen, Xuanlong Yu, Dexiong Chen, Xi Shen
2024 J jnl
SURE: SUrvey REcipes for building reliable and robust deep networks.
CoRR
Yuting Li, Yingyi Chen, Xuanlong Yu, Dexiong Chen, Xi Shen
2023 J jnl
Discretization-Induced Dirichlet Posterior for Robust Uncertainty Quantification on Regression.
CoRR
Xuanlong Yu, Gianni Franchi, Jindong Gu, Emanuel Aldea
2023 J jnl
InfraParis: A multi-modal and multi-task autonomous driving dataset.
CoRR
Gianni Franchi, Marwane Hariat, Xuanlong Yu, Nacim Belkhir, Antoine Manzanera, David Filliat
2023 — conf
The Robust Semantic Segmentation UNCV2023 Challenge Results.
ICCV (Workshops)
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
2023 J jnl
The Robust Semantic Segmentation UNCV2023 Challenge Results.
CoRR
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
2023 — —
Uncertainty quantification for vision regression tasks. (Quantification d'incertitude pour les tâches de régression visuelle).
Xuanlong Yu
2022 — conf
Latent Discriminant Deterministic Uncertainty.
ECCV (12)
Gianni Franchi, Xuanlong Yu, Andrei Bursuc, Emanuel Aldea, Séverine Dubuisson, David Filliat
2022 J jnl
Latent Discriminant deterministic Uncertainty.
CoRR
Gianni Franchi, Xuanlong Yu, Andrei Bursuc, Emanuel Aldea, Séverine Dubuisson, David Filliat
2022 J jnl
MUAD: Multiple Uncertainties for Autonomous Driving benchmark for multiple uncertainty types and tasks.
CoRR
Gianni Franchi, Xuanlong Yu, Andrei Bursuc, Rémi Kazmierczak, Séverine Dubuisson, Emanuel Aldea, David Filliat
2022 A conf
MUAD: Multiple Uncertainties for Autonomous Driving, a benchmark for multiple uncertainty types and tasks.
BMVC
Gianni Franchi, Xuanlong Yu, Andrei Bursuc, Ángel Tena, Rémi Kazmierczak, Séverine Dubuisson, Emanuel Aldea, David Filliat
2022 B conf
On Monocular Depth Estimation and Uncertainty Quantification Using Classification Approaches for Regression.
ICIP
Xuanlong Yu, Gianni Franchi, Emanuel Aldea
2022 J jnl
On Monocular Depth Estimation and Uncertainty Quantification using Classification Approaches for Regression.
CoRR
Xuanlong Yu, Gianni Franchi, Emanuel Aldea
2021 A conf
SLURP: Side Learning Uncertainty for Regression Problems.
BMVC
Xuanlong Yu, Gianni Franchi, Emanuel Aldea
2021 J jnl
SLURP: Side Learning Uncertainty for Regression Problems.
CoRR
Xuanlong Yu, Gianni Franchi, Emanuel Aldea