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Points-to-3D: Bridging the Gap between Sparse Points and Shape-Controllable Text-to-3D Generation. [PDF] Chaohui Yu, Qiang Zhou, Jingliang Li, Zhe Zhang, Zhibin Wang, Fan Wang. The 31th ACM International Conference on Multimedia. (ACMMM-23) |
Foundation Model Drives Weakly Incremental Learning for Semantic Segmentation. [PDF] Chaohui Yu, Qiang Zhou, Jingliang Li, Jianlong Yuan, Zhibin Wang, Fan Wang. The Conference on Computer Vision and Pattern Recognition (CVPR-23) |
D2Q-DETR: Decoupling and Dynamic Queries for Oriented Object Detection with Transformers. [PDF] Qiang Zhou, Chaohui Yu, Zhibin Wang, Fan Wang. IEEE International Conference on Acoustics, Speech and Signal Processing. (ICASSP-23) |
LMSeg: Language-guided Multi-dataset Segmentation. [PDF] Qiang Zhou, Yuang Liu, Chaohui Yu, Jingliang Li, Zhibin Wang, Fan Wang. The International Conference on Learning Representations 2023. (ICLR-23) |
MimCo: Masked Image Modeling Pre-training with Contrastive Teacher. [PDF] Qiang Zhou, Chaohui Yu, Hao Luo, Zhibin Wang, Hao Li. The 30th ACM International Conference on Multimedia. (ACMMM-22) |
Point RCNN: An Angle-Free Framework for Rotated Object Detection. [PDF] Qiang Zhou*, Chaohui Yu*, Zhibin Wang, Hao Li. Remote Sensing 2022, 14(11), 2605; (Remote Sensing-22) |
Object Detection Made Simpler by Eliminating Heuristic NMS. [PDF] Qiang Zhou*, Chaohui Yu*, Chunhua Shen*, Zhibin Wang, Hao Li. IEEE Transactions on Multimedia (TMM-23) |
LUAI Challenge 2021 on Learning to Understand Aerial Images. [PDF] Qiang Zhou*, Chaohui Yu*. The International Conference on Computer Vision Workshop (ICCVW-21) |
Instant-Teaching: An End-to-End Semi-Supervised Object Detection Framework. [PDF] [CODE] Qiang Zhou, Chaohui Yu, Zhibin Wang, Qi Qian, Hao Li. The Conference on Computer Vision and Pattern Recognition (CVPR-21) |
Cross-dataset Activity Recognition via Adaptive Spatial-temporal Transfer Learning. [PDF] [LINK] Xin Qin, Yiqiang Chen, Jindong Wang, Chaohui Yu. ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp-20) |
Transfer Learning with Dynamic Adversarial Adaptation Network. [PDF] [CODE] Chaohui Yu, Jindong Wang, Yiqiang Chen, Meiyu Huang. Proceedings of IEEE International Conference on Data Mining (ICDM-19). Beijing, China. Nov. 8-11, 2019. Pages 778-786. (Full Paper, AC rate: 9.08%) |
FedHealth: A Federated Transfer Learning Framework for Wearable Healthcare. [PDF] Yiqiang Chen, Jindong Wang, Chaohui Yu, Wen Gao, Xin, Qin. IJCAI-19 Workshop on Federated Machine Learning. Macao, China. Aug. 10-16, 2019. Pages 1-8. (Best Application Paper) To appear in IEEE Intelligent Systems |
Transfer Channel Prunning for Deep Unsupervised Domain Adaptation. [LINK] Chaohui Yu, Jindong Wang, Yiqiang Chen, Xin Qin. International Journal of Machine Learning and Cybernetics (IJMLC). Volume 10, Issue 11, 2019. Pages 3129-3144 |
Accelerating Deep Unsupervised Domain Adaptation with Transfer Channel Prunning. [PDF] [CODE] Chaohui Yu, Jindong Wang, Yiqiang Chen, Zijing Wu. Proceedings of International Joint Conference on Neural Networks (IJCNN-19). Budapest, Hungary. July 14-19, 2019. Pages 1-8. (Full paper, Oral) |