Zehao Xiao

According to our database, Zehao Xiao authored at least 17 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Any-Shift Prompting for Generalization over Distributions.

Zehao Xiao, Jiayi Shen, Mohammad Mahdi Derakhshani, Shengcai Liao, Cees G. M. Snoek

CoRR, 2024

2023

Learning Variational Neighbor Labels for Test-Time Domain Generalization.

Sameer Ambekar, Zehao Xiao, Jiayi Shen, Xiantong Zhen, Cees G. M. Snoek

CoRR, 2023

ProtoDiff: Learning to Learn Prototypical Networks by Task-Guided Diffusion.

Yingjun Du, Zehao Xiao, Shengcai Liao, Cees Snoek

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Energy-Based Test Sample Adaptation for Domain Generalization.

Zehao Xiao, Xiantong Zhen, Shengcai Liao, Cees G. M. Snoek

Proceedings of the Eleventh International Conference on Learning Representations, 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

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

Spherical Zero-Shot Learning.

Jiayi Shen, Zehao Xiao, Xiantong Zhen, Lei Zhang

IEEE Trans. Circuits Syst. Video Technol., 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

Neurocomputing, 2022

Association Graph Learning for Multi-Task Classification with Category Shifts.

Jiayi Shen, Zehao Xiao, Xiantong Zhen, Cees Snoek, Marcel Worring

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Learning to Generalize across Domains on Single Test Samples.

Zehao Xiao, Xiantong Zhen, Ling Shao, Cees G. M. Snoek

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

A Bit More Bayesian: Domain-Invariant Learning with Uncertainty.

Zehao Xiao, Jiayi Shen, Xiantong Zhen, Ling Shao, Cees Snoek

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

Heterogenous output regression network for direct face alignment.

Xiantong Zhen, Mengyang Yu, Zehao Xiao, Lei Zhang, Ling Shao

Pattern Recognit., 2020

2019

Attentional Information Fusion Networks for Cross-Scene Power Line Detection.

Yan Li, Zehao Xiao, Xiantong Zhen, Xianbin Cao

IEEE Geosci. Remote. Sens. Lett., 2019

ASiam: adaptive Siamese regression tracking with adversarial template generation and motion-based failure recovery.

Xiaolong Jiang, Zehao Xiao, Baochang Zhang, Xianbin Cao

IET Image Process., 2019

Crowd Counting and Density Estimation by Trellis Encoder-Decoder Network.

Xiaolong Jiang, Zehao Xiao, Baochang Zhang, Xiantong Zhen, Xianbin Cao, David S. Doermann, Ling Shao

CoRR, 2019

Relational Attention Network for Crowd Counting.

Anran Zhang, Jiayi Shen, Zehao Xiao, Fan Zhu, Xiantong Zhen, Xianbin Cao, Ling Shao

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Crowd Counting and Density Estimation by Trellis Encoder-Decoder Networks.

Xiaolong Jiang, Zehao Xiao, Baochang Zhang, Xiantong Zhen, Xianbin Cao, David S. Doermann, Ling Shao

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

In Defense of Single-column Networks for Crowd Counting.

Ze Wang, Zehao Xiao, Kai Xie, Qiang Qiu, Xiantong Zhen, Xianbin Cao

Proceedings of the British Machine Vision Conference 2018, 2018