Chenqiang Gao (高陈强)

Professor, [Google Scholar] , [GitHub]

School of Intelligent Systems Engineering

Sun Yat-sen University (Shenzhen Campus)

Selected Papers (Updating soon)

	DPDETR: Decoupled Position Detection Transformer for Infrared-Visible Object Detection Junjie Guo, Chenqiang Gao, Fangcen Liu, Deyu Meng Paper in submission, 2024.* [arXiv] [code]

	Spatial Prior-Guided Tooth Instance Segmentation with Bi-Directional Cross Attention Transformers Pengcheng Li, Chenqiang Gao, Chunfeng Lian, Deyu Meng IEEE Transactions on Medical Imaging, 2024.* [paper] [code]

	DAMSDet: Dynamic Adaptive Multispectral Detection Transformer with Competitive Query Selection and Adaptive Feature Fusion. Junjie Guo, Chenqiang Gao, Fangcen Liu, Deyu Meng, Xinbo Gao European Conference on Computer Vision (ECCV), 2024.* [arXiv] [code]

	Infmae: A foundation model in infrared modality. Fangcen Liu, Chenqiang Gao, Yaming Zhang, Junjie Guo, Jinhao Wang, Deyu Meng European Conference on Computer Vision (ECCV), 2024.* [arXiv]

	A Point-Neighborhood Learning Framework for Nasal Endoscope Image Segmentation. Pengyu Jie, Wanquan Liu, Chenqiang Gao, Yihui Wen, Rui He, Pengcheng Li, Jintao Zhang, Deyu Meng Paper in submission, 2024.* [arXiv] [code]

	Towards Student Actions in Classroom Scenes: New Dataset and Baseline Zhuolin Tan, Chenqiang Gao, Anyong Qin, Ruixin Chen, Tiecheng Song, Feng Yang, Deyu Meng Paper in submission, 2024. [arXiv] [code]

	Exploring Hybrid Contrastive Learning and Scene-to-Label Information for Multilabel Remote Sensing Image Classification Tiecheng Song, Shufen Bai, Feng Yang, Chenqiang Gao, Haonan Chen, Jun Li IEEE Transactions on Geoscience and Remote Sensing, 2024. [paper]

	Joint Classification of Hyperspectral and LiDAR Data Using Height Information Guided Hierarchical Fusion-and-Separation Network Tiecheng Song, Zheng Zeng, Chenqiang Gao, Haonan Chen, Jun Li IEEE Transactions on Geoscience and Remote Sensing, 2024. [paper]

	Deep Updated Subspace Networks for Few-Shot Remote Sensing Scene Classification Anyong Qin, Fuyang Chen, Qiang Li, Lingyun Tang, Feng Yang, Yue Zhao, Chenqiang Gao IEEE Transactions on Geoscience and Remote Sensing, 2024. [paper]

	Few-Shot Learning with Prototype Rectification for Cross-Domain Hyperspectral Image Classification Anyong Qin, Chaoqi Yuan, Qiang Li, Xiaoliu Luo, Feng Yang, Tiecheng Song, Chenqiang Gao IEEE Transactions on Geoscience and Remote Sensing, 2024. [paper]

	THISNet: Tooth Instance Segmentation on 3D Dental Models via Highlighting Tooth Regions Pengcheng Li, Chenqiang Gao, Fangcen Liu, Deyu Meng, Yan Yan IEEE Transactions on Circuits and Systems for Video Technology, 2023.* [paper] [code]

	Hierarchical Supervision and Shuffle Data Augmentation for 3D Semi-Supervised Object Detection. Chuandong Liu, Chenqiang Gao, Fangcen Liu, Pengcheng Li, Deyu Meng, Xinbo Gao Conference on Computer Vision and Pattern Recognition (CVPR), 2023.* [arXiv] [code]

	Distance constraint-based generative adversarial networks for hyperspectral image classification Anyong Qin, Zhuolin Tan, Ran Wang, Yongqing Sun, Feng Yang, Yue Zhao, Chenqiang Gao IEEE Transactions on Geoscience and Remote Sensing, 2023. [paper]

	Pareto refocusing for drone-view object detection Jiaxu Leng, Mengjingcheng Mo, Yinghua Zhou, Chenqiang Gao, Weisheng Li, Xinbo Gao IEEE Transactions on Circuits and Systems for Video Technology, 2022. [paper]

	SS3D: Sparsely-Supervised 3D Object Detection from Point Cloud. Chuandong Liu, Chenqiang Gao, Fangcen Liu, Jiang Liu, Deyu Meng, Xinbo Gao Conference on Computer Vision and Pattern Recognition (CVPR), 2022.* [paper] [code]
	Local patch network with global attention for infrared small target detection Fang Chen, Chenqiang Gao, Fangcen Liu, Yue Zhao, Yuxi Zhou, Deyu Meng, Wangmeng Zuo IEEE Transactions on Aerospace and Electronic Systems, 2022. [paper] [code]

	Semantic Graph Attention With Explicit Anatomical Association Modeling for Tooth Segmentation From CBCT Images Pengcheng Li, Yang Liu, Zhiming Cui, Feng Yang, Yue Zhao, Chunfeng Lian, Chenqiang Gao IEEE Transactions on Medical Imaging, 2022. [paper]

	Infrared action detection in the dark via cross-stream attention mechanism Xu Chen, Chenqiang Gao, Chaoyu Li, Yi Yang, Deyu Meng IEEE Transactions on Multimedia, 2021. [paper] [code]

	Tsgcnet: Discriminative geometric feature learning with two-stream graph convolutional network for 3d dental model segmentation Lingming Zhang, Yue Zhao, Deyu Meng, Zhiming Cui, Chenqiang Gao, Xinbo Gao, Chunfeng Lian, Dinggang Shen Conference on Computer Vision and Pattern Recognition (CVPR), 2021. [arXiv] [code]

	Two-stream graph convolutional network for intra-oral scanner image segmentation Yue Zhao, Lingming Zhang, Yang Liu, Deyu Meng, Zhiming Cui, Chenqiang Gao, Xinbo Gao, Chunfeng Lian, Dinggang Shen IEEE Transactions on Medical Imaging, 2021. [paper] [code]

	Video-to-Image casting: A flatting method for video analysis Xu Chen, Chenqiang Gao, Feng Yang, Xiaohan Wang, Yi Yang, Yahong Han ACM MM (oral), 2021. [paper]

	Robust texture description using local grouped order pattern and non-local binary pattern Tiecheng Song, Jie Feng, Lin Luo, Chenqiang Gao, Hongliang Li IEEE Transactions on Circuits and Systems for Video Technology, 2020. [paper] [code]

	Infrared small target detection based on facet kernel and random walker Yao Qin, Lorenzo Bruzzone, Chengqiang Gao, Biao Li IEEE Transactions on Geoscience and Remote Sensing, 2019. [paper] [code]

	Decidenet: Counting varying density crowds through attention guided detection and density estimation Jiang Liu, Chenqiang Gao, Deyu Meng, Alexander G Hauptmann Proceedings of the IEEE conference on computer vision and pattern recognition (CVPR), 2018. [paper]

	Pm-gans: Discriminative representation learning for action recognition using partial-modalities Lan Wang, Chenqiang Gao, Luyu Yang, Yue Zhao, Wangmeng Zuo, Deyu Meng Proceedings of the European Conference on Computer Vision (ECCV), 2018. [paper]

	Infrared Patch-image Model for Small Target Detection in A Single Image Chenqiang Gao, Deyu Meng, Yi Yang, Yongtao Wang, Xiaofang Zhou, Alexander G. Hauptmann IEEE Transactions on Image Processing, 2013. [paper] [code]