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Xiao, Zehao
12 publications
ICLR
2025
DynaPrompt: Dynamic Test-Time Prompt Tuning
Zehao Xiao
,
Shilin Yan
,
Jack Hong
,
Jiayin Cai
,
Xiaolong Jiang
,
Yao Hu
,
Jiayi Shen
,
Cheems Wang
,
Cees G. M. Snoek
WACV
2025
GeneralizeFormer: Layer-Adaptive Model Generation Across Test-Time Distribution Shifts
Sameer Ambekar
,
Zehao Xiao
,
Xiantong Zhen
,
Cees Snoek
ICML
2025
Probabilistic Interactive 3D Segmentation with Hierarchical Neural Processes
Jie Liu
,
Pan Zhou
,
Zehao Xiao
,
Jiayi Shen
,
Wenzhe Yin
,
Jan-Jakob Sonke
,
Efstratios Gavves
CVPR
2024
Any-Shift Prompting for Generalization over Distributions
Zehao Xiao
,
Jiayi Shen
,
Mohammad Mahdi Derakhshani
,
Shengcai Liao
,
Cees G. M. Snoek
NeurIPS
2024
GO4Align: Group Optimization for Multi-Task Alignment
Jiayi Shen
,
Qi Wang
,
Zehao Xiao
,
Nanne Van Noord
,
Marcel Worring
CoLLAs
2024
Probabilistic Test-Time Generalization by Variational Neighbor-Labeling
Sameer Ambekar
,
Zehao Xiao
,
Jiayi Shen
,
Xiantong Zhen
,
Cees G. M. Snoek
ICLR
2023
Energy-Based Test Sample Adaptation for Domain Generalization
Zehao Xiao
,
Xiantong Zhen
,
Shengcai Liao
,
Cees G. M. Snoek
ICCVW
2023
Memory-Augmented Variational Adaptation for Online Few-Shot Segmentation
Jie Liu
,
Yingjun Du
,
Zehao Xiao
,
Cees G. M. Snoek
,
Jan-Jakob Sonke
,
Efstratios Gavves
NeurIPS
2023
ProtoDiff: Learning to Learn Prototypical Networks by Task-Guided Diffusion
Yingjun Du
,
Zehao Xiao
,
Shengcai Liao
,
Cees Snoek
NeurIPS
2022
Association Graph Learning for Multi-Task Classification with Category Shifts
Jiayi Shen
,
Zehao Xiao
,
Xiantong Zhen
,
Cees Snoek
,
Marcel Worring
ICLR
2022
Learning to Generalize Across Domains on Single Test Samples
Zehao Xiao
,
Xiantong Zhen
,
Ling Shao
,
Cees G. M. Snoek
ICML
2021
A Bit More Bayesian: Domain-Invariant Learning with Uncertainty
Zehao Xiao
,
Jiayi Shen
,
Xiantong Zhen
,
Ling Shao
,
Cees Snoek