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