Chaohui Yu (于超辉)

Algorithm Engineer

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Email:superhuiych (at) gmail.com

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[Work Experience] [Education] [Publications] [Projects] [Awards] [Skills]

Work Experience


Education


Publications



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%)


DrowsyDet: A Mobile Application for Real-Time Driver Drowsiness Detection.
Chaohui Yu, Xin Qin, Yiqiang Chen, Jindong Wang, Chenchen Fan.
Proceedings of IEEE International Conference on Ubiquitous Intelligence and Computing (UIC-19). Leicester, UK. Aug. 19-23, 2019. Pages 1-8. (Full paper)


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)

Projects


Awards


Skills


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