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Zehao Xiao
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Crowd counting and density estimation by trellis encoder-decoder networks
X Jiang*, Z Xiao*, B Zhang, X Zhen, X Cao, D Doermann, L Shao
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019
3782019
Relational attention network for crowd counting
A Zhang, J Shen, Z Xiao, F Zhu, X Zhen, X Cao, L Shao
Proceedings of the IEEE/CVF international conference on computer vision …, 2019
1912019
In defense of single-column networks for crowd counting
Z Wang*, Z Xiao*, K Xie, Q Qiu, X Zhen, X Cao
arXiv preprint arXiv:1808.06133, 2018
502018
A bit more bayesian: Domain-invariant learning with uncertainty
Z Xiao, J Shen, X Zhen, L Shao, C Snoek
International Conference on Machine Learning, 11351-11361, 2021
342021
Attentional information fusion networks for cross-scene power line detection
Y Li, Z Xiao, X Zhen, X Cao
IEEE Geoscience and Remote Sensing Letters 16 (10), 1635-1639, 2019
342019
Spherical zero-shot learning
J Shen, Z Xiao, X Zhen, L Zhang
IEEE Transactions on Circuits and Systems for Video Technology 32 (2), 634-645, 2021
232021
Learning to generalize across domains on single test samples
Z Xiao, X Zhen, L Shao, CGM Snoek
International Conference on Learning Representations, 2022
222022
Heterogenous output regression network for direct face alignment
X Zhen, M Yu, Z Xiao, L Zhang, L Shao
Pattern Recognition 105, 107311, 2020
132020
Energy-Based Test Sample Adaptation for Domain Generalization
Z Xiao, X Zhen, S Liao, CGM Snoek
International Conference on Learning Representations, 2023
102023
Association graph learning for multi-task classification with category shifts
J Shen, Z Xiao, X Zhen, C Snoek, M Worring
Advances in Neural Information Processing Systems 35, 4503-4516, 2022
62022
Variational invariant learning for Bayesian domain generalization
Z Xiao, J Shen, X Zhen, L Shao, CGM Snoek
22020
ASiam: adaptive Siamese regression tracking with adversarial template generation and motion‐based failure recovery
X Jiang, Z Xiao, B Zhang, X Cao
IET Image Processing 13 (14), 2694-2705, 2019
22019
ProtoDiff: Learning to Learn Prototypical Networks by Task-Guided Diffusion
Y Du, Z Xiao, S Liao, C Snoek
Advances in Neural Information Processing Systems 36, 2024
12024
Memory-augmented Variational Adaptation for Online Few-shot Segmentation
J Liu, Y Du, Z Xiao, CGM Snoek, JJ Sonke, E Gavves
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023
12023
Variational Pseudo Labels for Meta Test-time Adaptation
S Ambekar, Z Xiao, J Shen, X Zhen, CGM Snoek
12022
Any-Shift Prompting for Generalization over Distributions
Z Xiao, J Shen, MM Derakhshani, S Liao, CGM Snoek
arXiv preprint arXiv:2402.10099, 2024
2024
Learning Variational Neighbor Labels for Test-Time Domain Generalization
S Ambekar*, Z Xiao*, J Shen, X Zhen, CGM Snoek
arXiv preprint arXiv:2307.04033, 2023
2023
Variational Pseudo Labeling for Test Time Domain Generalization
S Ambekar, Z Xiao, J Shen, X Zhen, CGM Snoek
2023
Dense crowd counting method and apparatus
X Cao, X Zhen, Y Li, YUE Lei, Z Xiao, Y Hu
US Patent 11,126,862, 2021
2021
Supplementary Materials for Memory-augmented Variational Adaptation for Online Few-shot Segmentation
J Liu, Y Du, Z Xiao, CGM Snoek, JJ Sonke, E Gavves
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