| 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 | 204 | 2019 |
| Nformer: Robust person re-identification with neighbor transformer H Wang, J Shen, Y Liu, Y Gao, E Gavves Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 147 | 2022 |
| Attentional neural fields for crowd counting A Zhang, L Yue, J Shen, F Zhu, X Zhen, X Cao, L Shao Proceedings of the IEEE/CVF international conference on computer vision …, 2019 | 138 | 2019 |
| 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 | 42 | 2021 |
| 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 | 33 | 2021 |
| Feature adaptation and augmentation for cross-scene hyperspectral image classification J Shen, X Cao, Y Li, D Xu IEEE Geoscience and Remote Sensing Letters 15 (4), 622-626, 2018 | 32 | 2018 |
| Variational multi-task learning with gumbel-softmax priors J Shen, X Zhen, M Worring, L Shao Advances in Neural Information Processing Systems 34, 21031-21042, 2021 | 28 | 2021 |
| Superdisco: Super-class discovery improves visual recognition for the long-tail Y Du, J Shen, X Zhen, CGM Snoek Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 12 | 2023 |
| Learning to learn with variational inference for cross-domain image classification L Zhang, Y Du, J Shen, X Zhen IEEE Transactions on Multimedia 25, 3319-3328, 2022 | 9 | 2022 |
| Model-agnostic metric for zero-shot learning J Shen, H Wang, A Zhang, Q Qiu, X Zhen, X Cao Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2020 | 9 | 2020 |
| Episodic multi-task learning with heterogeneous neural processes J Shen, X Zhen, Q Wang, M Worring Advances in Neural Information Processing Systems 36, 75214-75228, 2023 | 8 | 2023 |
| 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 | 6 | 2024 |
| 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 | 6 | 2022 |
| Prototype-Enhanced Hypergraph Learning for Heterogeneous Information Networks S Wang, J Shen, A Efthymiou, S Rudinac, M Kackovic, N Wijnberg, ... International Conference on Multimedia Modeling, 462-476, 2024 | 3 | 2024 |
| Variational invariant learning for Bayesian domain generalization Z Xiao*, J Shen*, X Zhen, L Shao, CGM Snoek | 2 | 2020 |
| EMO: episodic memory optimization for few-shot meta-learning Y Du, J Shen, X Zhen, CGM Snoek Conference on Lifelong Learning Agents, 1-20, 2023 | 1 | 2023 |
| Variational Pseudo Labels for Meta Test-time Adaptation S Ambekar, Z Xiao, J Shen, X Zhen, CGM Snoek | 1 | 2023 |
| GO4Align: Group Optimization for Multi-Task Alignment J Shen, C Wang, Z Xiao, N Van Noord, M Worring arXiv preprint arXiv:2404.06486, 2024 | | 2024 |