FedHealth: A Federated Transfer Learning Framework for Wearable Healthcare Y Chen, J Wang, C Yu, W Gao, X Qin IJCAI-19 Workshop; IEEE Intelligent Systems, 2020 | 772 | 2020 |
Transfer Learning with Dynamic Adversarial Adaptation Network C Yu, J Wang, Y Chen, M Huang IEEE International Conference on Data Mining (ICDM) 2019 (Full paper, 9.08 …, 2019 | 293 | 2019 |
Instant-Teaching: An End-to-End Semi-Supervised Object Detection Framework Q Zhou, C Yu, Z Wang, Q Qian, H Li Conference on Computer Vision and Pattern Recognition (CVPR) 2021, 2021 | 182 | 2021 |
Cross-Dataset Activity Recognition via Adaptive Spatial-Temporal Transfer Learning X Qin, Y Chen, J Wang, C Yu (UbiComp'20) Proceedings of the ACM on Interactive, Mobile, Wearable and …, 2019 | 62 | 2019 |
Accelerating Deep Unsupervised Domain Adaptation with Transfer Channel Pruning C Yu, J Wang, Y Chen, Z Wu International Joint Conference on Neural Networks (IJCNN) 2019, 2019 | 25 | 2019 |
Object Detection Made Simpler by Eliminating Heuristic NMS Q Zhou, C Yu, C Shen, Z Wang, H Li IEEE Transactions on Multimedia (TMM), 2023, 2021 | 24 | 2021 |
Point RCNN: An Angle-Free Framework for Rotated Object Detection Q Zhou, C Yu, Z Wang, H Li Remote Sensing 14 (11), 2605, 2022 | 23 | 2022 |
Points-to-3D: Bridging the Gap between Sparse Points and Shape-Controllable Text-to-3D Generation C Yu, Q Zhou, J Li, Z Zhang, Z Wang, F Wang ACM International Conference on Multimedia (ACMMM) 2023, 2023 | 19 | 2023 |
MimCo: Masked Image Modeling Pre-training with Contrastive Teacher Q Zhou, C Yu, H Luo, Z Wang, H Li ACM International Conference on Multimedia (ACMMM) 2022, 2022 | 15 | 2022 |
Transfer channel pruning for compressing deep domain adaptation models C Yu, J Wang, Y Chen, X Qin International Journal of Machine Learning and Cybernetics 10, 3129-3144, 2019 | 14 | 2019 |
RegionBLIP: A Unified Multi-modal Pre-training Framework for Holistic and Regional Comprehension Q Zhou, C Yu, S Zhang, S Wu, Z Wang, F Wang arXiv preprint arXiv:2308.02299, 2023 | 11 | 2023 |
LMSeg: Language-guided Multi-dataset Segmentation Q Zhou, Y Liu, C Yu, J Li, Z Wang, F Wang International Conference on Learning Representations (ICLR) 2023, 2023 | 9 | 2023 |
Learning to Match Distributions for Domain Adaptation C Yu, J Wang, C Liu, T Qin, R Xu, W Feng, Y Chen, TY Liu arXiv preprint arXiv:2007.10791, 2020 | 9 | 2020 |
DrowsyDet: A Mobile Application for Real-time Driver Drowsiness Detection C Yu, X Qin, Y Chen, J Wang, C Fan 2019 IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced …, 2019 | 8 | 2019 |
Foundation Model Drives Weakly Incremental Learning for Semantic Segmentation C Yu, Q Zhou, J Li, J Yuan, Z Wang, F Wang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 7 | 2023 |
SingleInsert: Inserting New Concepts from a Single Image into Text-to-Image Models for Flexible Editing Z Wu, C Yu, Z Zhu, F Wang, X Bai arXiv preprint arXiv:2310.08094, 2023 | 6 | 2023 |
D2Q-DETR: Decoupling and Dynamic Queries for Oriented Object Detection with Transformers Q Zhou, C Yu, Z Wang, F Wang IEEE International Conference on Acoustics, Speech and Signal Processing …, 2023 | 5 | 2023 |
ES-MVSNet: Efficient Framework for End-to-end Self-supervised Multi-View Stereo Q Zhou, C Yu, J Li, Y Liu, J Wang, Z Wang arXiv preprint arXiv:2308.02191, 2023 | 2 | 2023 |
LUAI Challenge 2021 on Learning to Understand Aerial Images GS Xia, J Ding, M Qian, N Xue, J Han, X Bai, MY Yang, S Li, S Belongie, ... Proceedings of the IEEE/CVF International Conference on Computer Vision, 762-768, 2021 | 2 | 2021 |
ICPC: Instance-Conditioned Prompting with Contrastive Learning for Semantic Segmentation C Yu, Q Zhou, Z Wang, F Wang arXiv preprint arXiv:2308.07078, 2023 | 1 | 2023 |