Unsupervised saliency model with color Markov chain for oil tank detection Z Liu, D Zhao, Z Shi, Z Jiang Remote Sensing 11 (9), 1089, 2019 | 48 | 2019 |
Real-time one-stream semantic-guided refinement network for RGB-thermal salient object detection F Huo, X Zhu, Q Zhang, Z Liu, W Yu IEEE Transactions on Instrumentation and Measurement 71, 1-12, 2022 | 20 | 2022 |
Object detection in remote sensing images via multi-feature pyramid network with receptive field block Z Yuan, Z Liu, C Zhu, J Qi, D Zhao Remote Sensing 13 (5), 862, 2021 | 18 | 2021 |
Error-compensated sparsification for communication-efficient decentralized training in edge environment H Wang, S Guo, Z Qu, R Li, Z Liu IEEE Transactions on Parallel and Distributed Systems 33 (1), 14-25, 2021 | 14 | 2021 |
Graph knows unknowns: Reformulate zero-shot learning as sample-level graph recognition J Guo, S Guo, Q Zhou, Z Liu, X Lu, F Huo Proceedings of the AAAI Conference on Artificial Intelligence 37 (6), 7775-7783, 2023 | 10 | 2023 |
Towards unbiased multi-label zero-shot learning with pyramid and semantic attention Z Liu, S Guo, J Guo, Y Xu, F Huo IEEE Transactions on Multimedia, 2022 | 10 | 2022 |
Decomposed soft prompt guided fusion enhancing for compositional zero-shot learning X Lu, S Guo, Z Liu, J Guo Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 9 | 2023 |
Hierarchical attention for ship detection in SAR images C Zhu, D Zhao, Z Liu, Y Mao IGARSS 2020-2020 IEEE International Geoscience and Remote Sensing Symposium …, 2020 | 9 | 2020 |
Application: Image-based visual perception J Guo, Z Liu Machine Learning on Commodity Tiny Devices, 123-144, 2022 | 5 | 2022 |
Procc: Progressive cross-primitive consistency for open-world compositional zero-shot learning F Huo, W Xu, S Guo, J Guo, H Wang, Z Liu arXiv preprint arXiv:2211.12417, 2022 | 5 | 2022 |
Fed-FSNet: Mitigating Non-IID Federated Learning via Fuzzy Synthesizing Network J Guo, S Guo, J Zhang, Z Liu arXiv preprint arXiv:2208.12044, 2022 | 4 | 2022 |
DRPT: Disentangled and Recurrent Prompt Tuning for Compositional Zero-Shot Learning X Lu, Z Liu, S Guo, J Guo, F Huo, S Bai, T Han arXiv preprint arXiv:2305.01239, 2023 | 3 | 2023 |
From deterioration to acceleration: A calibration approach to rehabilitating step asynchronism in federated optimization F Wu, S Guo, H Wang, H Zhang, Z Qu, J Zhang, Z Liu IEEE Transactions on Parallel and Distributed Systems 34 (5), 1548-1559, 2023 | 3 | 2023 |
P-Encoder: On Exploration of Channel-Class Correlation for Multi-Label Zero-Shot Learning Z Liu, S Guo, X Lu, J Guo, J Zhang, Y Zeng, F Huo Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 2 | 2023 |
GBE-MLZSL: A Group Bi-Enhancement Framework for Multi-Label Zero-Shot Learning Z Liu, J Guo, X Lu, S Guo, P Dong, J Zhang arXiv preprint arXiv:2309.00923, 2023 | | 2023 |
Anchor Sampling for Federated Learning with Partial Client Participation F Wu, S Guo, Z Qu, S He, Z Liu, J Gao | | 2023 |
Accelerating Federated Learning via Sampling Anchor Clients with Large Batches F Wu, S Guo, Z Qu, S He, Z Liu arXiv preprint arXiv:2206.05891, 2022 | | 2022 |
Multi-Scale Remote Sensing Targets Detection with Rotated Feature Pyramid Y Mao, Z Chen, H Dou, D Zhao, Z Liu IGARSS 2020-2020 IEEE International Geoscience and Remote Sensing Symposium …, 2020 | | 2020 |