| 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 | 429 | 2019 |
| 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 | 210 | 2019 |
| 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 | 50 | 2018 |
| 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 | 45 | 2021 |
| 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 | 38 | 2019 |
| Learning to generalize across domains on single test samples Z Xiao, X Zhen, L Shao, CGM Snoek International Conference on Learning Representations, 2022 | 36 | 2022 |
| 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 | 35 | 2021 |
| Energy-Based Test Sample Adaptation for Domain Generalization Z Xiao, X Zhen, S Liao, CGM Snoek International Conference on Learning Representations, 2023 | 18 | 2023 |
| Heterogenous output regression network for direct face alignment X Zhen, M Yu, Z Xiao, L Zhang, L Shao Pattern Recognition 105, 107311, 2020 | 15 | 2020 |
| Any-Shift Prompting for Generalization over Distributions Z Xiao, J Shen, MM Derakhshani, S Liao, CGM Snoek Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 12 | 2024 |
| 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, 46304-46322, 2023 | 9 | 2023 |
| 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 | 8 | 2022 |
| Probabilistic Test-Time Generalization by Variational Neighbor-Labeling S Ambekar*, Z Xiao*, J Shen, X Zhen, CGM Snoek arXiv preprint arXiv:2307.04033, 2023 | 5* | 2023 |
| Beyond model adaptation at test time: A survey Z Xiao, CGM Snoek arXiv preprint arXiv:2411.03687, 2024 | 3 | 2024 |
| 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 | 2 | 2023 |
| 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 | 2 | 2019 |
| GO4Align: Group Optimization for Multi-Task Alignment J Shen, C Wang, Z Xiao, N Van Noord, M Worring arXiv preprint arXiv:2404.06486, 2024 | 1 | 2024 |
| Geometric Neural Process Fields W Yin, Z Xiao, J Shen, Y Chen, CGM Snoek, JJ Sonke, E Gavves arXiv preprint arXiv:2502.02338, 2025 | | 2025 |
| Beyond Any-Shot Adaptation: Predicting Optimization Outcome for Robustness Gains without Extra Pay QC Wang, Z Xiao, Y Mao, Y Qu, J Shen, Y Lv, X Ji arXiv preprint arXiv:2501.11039, 2025 | | 2025 |
| DynaPrompt: Dynamic Test-Time Prompt Tuning Z Xiao, S Yan, J Hong, J Cai, X Jiang, Y Hu, J Shen, Q Wang, CGM Snoek ICLR 2025, 2025 | | 2025 |
Xiantong ZhenUnited ImagingE-mailová adresa ověřena na: inceptioniai.org