Zehao Xiao

43 papers A* 11A 2Journal 28Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
Online alternating direction method of multipliers for online composite optimization.
J. Comput. Appl. Math.
Yule Zhang, Zehao Xiao, Jia Wu, Liwei Zhang
2026 J jnl
Towards Uniformity and Alignment for Multimodal Representation Learning.
CoRR
Wenzhe Yin, Pan Zhou, Zehao Xiao, Jie Liu, Shujian Yu, Jan-Jakob Sonke, Efstratios Gavves
2025 J jnl
Distributional Vision-Language Alignment by Cauchy-Schwarz Divergence.
CoRR
Wenzhe Yin, Zehao Xiao, Pan Zhou, Shujian Yu, Jiayi Shen, Jan-Jakob Sonke, Efstratios Gavves
2025 A* conf
DynaPrompt: Dynamic Test-Time Prompt Tuning.
ICLR
Zehao Xiao, Shilin Yan, Jack Hong, Jiayin Cai, Xiaolong Jiang, Yao Hu, Jiayi Shen, Qi Wang, Cees G. M. Snoek
2025 J jnl
DynaPrompt: Dynamic Test-Time Prompt Tuning.
CoRR
Zehao Xiao, Shilin Yan, Jack Hong, Jiayin Cai, Xiaolong Jiang, Yao Hu, Jiayi Shen, Qi Wang, Cees G. M. Snoek
2025 A conf
GeneralizeFormer: Layer-Adaptive Model Generation Across Test-Time Distribution Shifts.
WACV
Sameer Ambekar, Zehao Xiao, Xiantong Zhen, Cees G. M. Snoek
2025 J jnl
GeneralizeFormer: Layer-Adaptive Model Generation across Test-Time Distribution Shifts.
CoRR
Sameer Ambekar, Zehao Xiao, Xiantong Zhen, Cees G. M. Snoek
2025 J jnl
Geometric Neural Process Fields.
CoRR
Wenzhe Yin, Zehao Xiao, Jiayi Shen, Yunlu Chen, Cees G. M. Snoek, Jan-Jakob Sonke, Efstratios Gavves
2025 J jnl
Model Predictive Task Sampling for Efficient and Robust Adaptation.
CoRR
Qi (Cheems) Wang, Zehao Xiao, Yixiu Mao, Yun Qu, Jiayi Shen, Yiqin Lv, Xiangyang Ji
2025 A* conf
Probabilistic Interactive 3D Segmentation with Hierarchical Neural Processes.
ICML
Jie Liu, Pan Zhou, Zehao Xiao, Jiayi Shen, Wenzhe Yin, Jan-Jakob Sonke, Efstratios Gavves
2025 J jnl
Probabilistic Interactive 3D Segmentation with Hierarchical Neural Processes.
CoRR
Jie Liu, Pan Zhou, Zehao Xiao, Jiayi Shen, Wenzhe Yin, Jan-Jakob Sonke, Efstratios Gavves
2025 J jnl
Progressive Scaling Visual Object Tracking.
CoRR
Jack Hong, Shilin Yan, Zehao Xiao, Jiayin Cai, Xiaolong Jiang, Yao Hu, Henghui Ding
2024 A* conf
Any-Shift Prompting for Generalization Over Distributions.
CVPR
Zehao Xiao, Jiayi Shen, Mohammad Mahdi Derakhshani, Shengcai Liao, Cees G. M. Snoek
2024 J jnl
Any-Shift Prompting for Generalization over Distributions.
CoRR
Zehao Xiao, Jiayi Shen, Mohammad Mahdi Derakhshani, Shengcai Liao, Cees G. M. Snoek
2024 J jnl
Beyond Model Adaptation at Test Time: A Survey.
CoRR
Zehao Xiao, Cees G. M. Snoek
2024 A* conf
GO4Align: Group Optimization for Multi-Task Alignment.
NeurIPS
Jiayi Shen, Qi Wang, Zehao Xiao, Nanne van Noord, Marcel Worring
2024 J jnl
GO4Align: Group Optimization for Multi-Task Alignment.
CoRR
Jiayi Shen, Qi (Cheems) Wang, Zehao Xiao, Nanne van Noord, Marcel Worring
2024 J jnl
Multi-Modal Adapter for Vision-Language Models.
CoRR
Dominykas Seputis, Serghei Mihailov, Soham Chatterjee, Zehao Xiao
2024 — conf
Probabilistic Test-Time Generalization by Variational Neighbor-Labeling.
CoLLAs
Sameer Ambekar, Zehao Xiao, Jiayi Shen, Xiantong Zhen, Cees G. M. Snoek
2024 J jnl
RI-PCGrad: Optimizing multi-task learning with rescaling and impartial projecting conflict gradients.
Appl. Intell.
Fanyun Meng, Zehao Xiao, Yuanyuan Zhang, Jinlong Wang
2024 J jnl
Regret analysis of an online majorized semi-proximal ADMM for online composite optimization.
J. Glob. Optim.
Zehao Xiao, Liwei Zhang
2023 A* conf
Energy-Based Test Sample Adaptation for Domain Generalization.
ICLR
Zehao Xiao, Xiantong Zhen, Shengcai Liao, Cees G. M. Snoek
2023 J jnl
Energy-Based Test Sample Adaptation for Domain Generalization.
CoRR
Zehao Xiao, Xiantong Zhen, Shengcai Liao, Cees G. M. Snoek
2023 J jnl
Learning Variational Neighbor Labels for Test-Time Domain Generalization.
CoRR
Sameer Ambekar, Zehao Xiao, Jiayi Shen, Xiantong Zhen, Cees G. M. Snoek
2023 — conf
Memory-augmented Variational Adaptation for Online Few-shot Segmentation.
ICCV (Workshops)
Jie Liu, Yingjun Du, Zehao Xiao, Cees G. M. Snoek, Jan-Jakob Sonke, Efstratios Gavves
2023 A* conf
ProtoDiff: Learning to Learn Prototypical Networks by Task-Guided Diffusion.
NeurIPS
Yingjun Du, Zehao Xiao, Shengcai Liao, Cees Snoek
2023 J jnl
ProtoDiff: Learning to Learn Prototypical Networks by Task-Guided Diffusion.
CoRR
Yingjun Du, Zehao Xiao, Shengcai Liao, Cees Snoek
2022 A* conf
Association Graph Learning for Multi-Task Classification with Category Shifts.
NeurIPS
Jiayi Shen, Zehao Xiao, Xiantong Zhen, Cees Snoek, Marcel Worring
2022 J jnl
Association Graph Learning for Multi-Task Classification with Category Shifts.
CoRR
Jiayi Shen, Zehao Xiao, Xiantong Zhen, Cees G. M. Snoek, Marcel Worring
2022 A* conf
Learning to Generalize across Domains on Single Test Samples.
ICLR
Zehao Xiao, Xiantong Zhen, Ling Shao, Cees G. M. Snoek
2022 J jnl
Learning to Generalize across Domains on Single Test Samples.
CoRR
Zehao Xiao, Xiantong Zhen, Ling Shao, Cees G. M. Snoek
2022 J jnl
Light weight object detector based on composite attention residual network and boundary location loss.
Neurocomputing
Zehao Xiao, Enzeng Dong, Jigang Tong, Lin Zhu, Zenghui Wang
2022 J jnl
Spherical Zero-Shot Learning.
IEEE Trans. Circuits Syst. Video Technol.
Jiayi Shen, Zehao Xiao, Xiantong Zhen, Lei Zhang
2021 A* conf
A Bit More Bayesian: Domain-Invariant Learning with Uncertainty.
ICML
Zehao Xiao, Jiayi Shen, Xiantong Zhen, Ling Shao, Cees Snoek
2021 J jnl
A Bit More Bayesian: Domain-Invariant Learning with Uncertainty.
CoRR
Zehao Xiao, Jiayi Shen, Xiantong Zhen, Ling Shao, Cees G. M. Snoek
2020 J jnl
Heterogenous output regression network for direct face alignment.
Pattern Recognit.
Xiantong Zhen, Mengyang Yu, Zehao Xiao, Lei Zhang, Ling Shao
2019 J jnl
ASiam: adaptive Siamese regression tracking with adversarial template generation and motion-based failure recovery.
IET Image Process.
Xiaolong Jiang, Zehao Xiao, Baochang Zhang, Xianbin Cao
2019 J jnl
Attentional Information Fusion Networks for Cross-Scene Power Line Detection.
IEEE Geosci. Remote. Sens. Lett.
Yan Li, Zehao Xiao, Xiantong Zhen, Xianbin Cao
2019 J jnl
Crowd Counting and Density Estimation by Trellis Encoder-Decoder Network.
CoRR
Xiaolong Jiang, Zehao Xiao, Baochang Zhang, Xiantong Zhen, Xianbin Cao, David S. Doermann, Ling Shao
2019 A* conf
Crowd Counting and Density Estimation by Trellis Encoder-Decoder Networks.
CVPR
Xiaolong Jiang, Zehao Xiao, Baochang Zhang, Xiantong Zhen, Xianbin Cao, David S. Doermann, Ling Shao
2019 A* conf
Relational Attention Network for Crowd Counting.
ICCV
Anran Zhang, Jiayi Shen, Zehao Xiao, Fan Zhu, Xiantong Zhen, Xianbin Cao, Ling Shao
2018 A conf
In Defense of Single-column Networks for Crowd Counting.
BMVC
Ze Wang, Zehao Xiao, Kai Xie, Qiang Qiu, Xiantong Zhen, Xianbin Cao
2018 J jnl
In Defense of Single-column Networks for Crowd Counting.
CoRR
Ze Wang, Zehao Xiao, Kai Xie, Qiang Qiu, Xiantong Zhen, Xianbin Cao