In Defense of Single-column Networks for Crowd Counting. - Ze Wang 008; Zehao Xiao; Kai Xie; Qiang Qiu 001; Xiantong Zhen; Xianbin Cao 001 (BMVC, 2018)

Crowd Counting and Density Estimation by Trellis Encoder-Decoder Networks. - Xiaolong Jiang; Zehao Xiao; Baochang Zhang 001; Xiantong Zhen; Xianbin Cao 001; David S. Doermann; Ling Shao 001 (CVPR, 2019)

Relational Attention Network for Crowd Counting. - Anran Zhang; Jiayi Shen; Zehao Xiao; Fan Zhu 001; Xiantong Zhen; Xianbin Cao 001; Ling Shao 001 (ICCV, 2019)

Crowd Counting and Density Estimation by Trellis Encoder-Decoder Network. - Xiaolong Jiang; Zehao Xiao; Baochang Zhang 001; Xiantong Zhen; Xianbin Cao 001; David S. Doermann; Ling Shao 001 (CoRR, 2019)

ASiam: adaptive Siamese regression tracking with adversarial template generation and motion-based failure recovery. - Xiaolong Jiang; Zehao Xiao; Baochang Zhang 001; Xianbin Cao 001 (IET Image Process., 2019)

Attentional Information Fusion Networks for Cross-Scene Power Line Detection. - Yan Li 054; Zehao Xiao; Xiantong Zhen; Xianbin Cao 001 (IEEE Geosci. Remote. Sens. Lett., 2019)

Heterogenous output regression network for direct face alignment. - Xiantong Zhen; Mengyang Yu; Zehao Xiao; Lei Zhang 093; Ling Shao 001 (Pattern Recognit., 2020)

A Bit More Bayesian: Domain-Invariant Learning with Uncertainty. - Zehao Xiao; Jiayi Shen; Xiantong Zhen; Ling Shao 001; Cees Snoek (ICML, 2021)

Learning to Generalize across Domains on Single Test Samples. - Zehao Xiao; Xiantong Zhen; Ling Shao 001; Cees G. M. Snoek (ICLR, 2022)

Association Graph Learning for Multi-Task Classification with Category Shifts. - Jiayi Shen; Zehao Xiao; Xiantong Zhen; Cees Snoek; Marcel Worring (NeurIPS, 2022)

Light weight object detector based on composite attention residual network and boundary location loss. - Zehao Xiao; Enzeng Dong; Jigang Tong; Lin Zhu; Zenghui Wang 001 (Neurocomputing, 2022)

Spherical Zero-Shot Learning. - Jiayi Shen; Zehao Xiao; Xiantong Zhen; Lei Zhang 093 (IEEE Trans. Circuits Syst. Video Technol., 2022)

Memory-augmented Variational Adaptation for Online Few-shot Segmentation. - Jie Liu 043; Yingjun Du; Zehao Xiao; Cees G. M. Snoek; Jan-Jakob Sonke; Efstratios Gavves (ICCV (Workshops), 2023)

Energy-Based Test Sample Adaptation for Domain Generalization. - Zehao Xiao; Xiantong Zhen; Shengcai Liao; Cees G. M. Snoek (ICLR, 2023)

ProtoDiff: Learning to Learn Prototypical Networks by Task-Guided Diffusion. - Yingjun Du; Zehao Xiao; Shengcai Liao; Cees Snoek (NeurIPS, 2023)

Learning Variational Neighbor Labels for Test-Time Domain Generalization. - Sameer Ambekar; Zehao Xiao; Jiayi Shen; Xiantong Zhen; Cees G. M. Snoek (CoRR, 2023)

Probabilistic Test-Time Generalization by Variational Neighbor-Labeling. - Sameer Ambekar; Zehao Xiao; Jiayi Shen; Xiantong Zhen; Cees G. M. Snoek (CoLLAs, 2024)

Any-Shift Prompting for Generalization Over Distributions. - Zehao Xiao; Jiayi Shen; Mohammad Mahdi Derakhshani; Shengcai Liao; Cees G. M. Snoek (CVPR, 2024)

GO4Align: Group Optimization for Multi-Task Alignment. - Jiayi Shen; Qi Wang 009; Zehao Xiao; Nanne van Noord; Marcel Worring (NeurIPS, 2024)

GO4Align: Group Optimization for Multi-Task Alignment. - Jiayi Shen; Cheems Wang; Zehao Xiao; Nanne van Noord; Marcel Worring (CoRR, 2024)

Multi-Modal Adapter for Vision-Language Models. - Dominykas Seputis; Serghei Mihailov; Soham Chatterjee; Zehao Xiao (CoRR, 2024)

Beyond Model Adaptation at Test Time: A Survey. - Zehao Xiao; Cees G. M. Snoek (CoRR, 2024)

Regret analysis of an online majorized semi-proximal ADMM for online composite optimization. - Zehao Xiao; Liwei Zhang (J. Glob. Optim., 2024)

RI-PCGrad: Optimizing multi-task learning with rescaling and impartial projecting conflict gradients. - Fanyun Meng; Zehao Xiao; Yuanyuan Zhang; Jinlong Wang (Appl. Intell., 2024)

DynaPrompt: Dynamic Test-Time Prompt Tuning. - Zehao Xiao; Shilin Yan; Jack Hong; Jiayin Cai; Xiaolong Jiang; Yao Hu 002; Jiayi Shen; Cheems Wang; Cees G. M. Snoek (ICLR, 2025)

GeneralizeFormer: Layer-Adaptive Model Generation Across Test-Time Distribution Shifts. - Sameer Ambekar; Zehao Xiao; Xiantong Zhen; Cees G. M. Snoek (WACV, 2025)

Beyond Any-Shot Adaptation: Predicting Optimization Outcome for Robustness Gains without Extra Pay. - Qi Cheems Wang; Zehao Xiao; Yixiu Mao; Yun Qu 002; Jiayi Shen; Yiqin Lv; Xiangyang Ji (CoRR, 2025)

DynaPrompt: Dynamic Test-Time Prompt Tuning. - Zehao Xiao; Shilin Yan; Jack Hong; Jiayin Cai; Xiaolong Jiang; Yao Hu 002; Jiayi Shen; Qi Wang; Cees G. M. Snoek (CoRR, 2025)

Geometric Neural Process Fields. - Wenzhe Yin; Zehao Xiao; Jiayi Shen; Yunlu Chen; Cees G. M. Snoek; Jan-Jakob Sonke; Efstratios Gavves (CoRR, 2025)

Distributional Vision-Language Alignment by Cauchy-Schwarz Divergence. - Wenzhe Yin; Zehao Xiao; Pan Zhou; Shujian Yu; Jiayi Shen; Jan-Jakob Sonke; Efstratios Gavves (CoRR, 2025)

Probabilistic Interactive 3D Segmentation with Hierarchical Neural Processes. - Jie Liu 043; Pan Zhou; Zehao Xiao; Jiayi Shen; Wenzhe Yin; Jan-Jakob Sonke; Efstratios Gavves (CoRR, 2025)

Progressive Scaling Visual Object Tracking. - Jack Hong; Shilin Yan; Zehao Xiao; Jiayin Cai; Xiaolong Jiang; Yao Hu 002; Henghui Ding (CoRR, 2025)