Fang Qu

According to our database, Fang Qu authored at least 12 papers between 2017 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

IPENS:Interactive Unsupervised Framework for Rapid Plant Phenotyping Extraction via NeRF-SAM2 Fusion.

Wentao Song, He Huang, Youqiang Sun, Fang Qu, Jiaqi Zhang, Longhui Fang, Yuwei Hao, Chenyang Peng

CoRR, May, 2025

VISTA: Enhancing Vision-Text Alignment in MLLMs via Cross-Modal Mutual Information Maximization.

Mingxiao Li, Na Su, Fang Qu, Zhizhou Zhong, Ziyang Chen, Yuan Li, Zhaopeng Tu, Xiaolong Li

CoRR, May, 2025

From Visuals to Vocabulary: Establishing Equivalence Between Image and Text Token Through Autoregressive Pre-training in MLLMs.

Mingxiao Li, Fang Qu, Zhanpeng Chen, Na Su, Zhizhou Zhong, Ziyang Chen, Nan Du, Xiaolong Li

CoRR, February, 2025

3D-finite element analysis and weibull analysis of maxillary first molar restored with endocrowns with different pulpal extensions compared with conventional crowns with post-and-core.

Qi Zhong, Zidi Zhai, Zi'ang Wu, Yingyi Shen, Ximeng Cao, Fang Qu, Yaqin Wu, Wenjuan Yao, Chun Xu

Comput. Biol. Medicine, 2025

2024

Vegetation Land Segmentation with Multi-Modal and Multi-Temporal Remote Sensing Images: A Temporal Learning Approach and a New Dataset.

Fang Qu, Youqiang Sun, Man Zhou, Liu Liu, Huamin Yang, Junqing Zhang, He Huang, Danfeng Hong

Remote. Sens., January, 2024

FedPAW: Federated Learning With Personalized Aggregation Weights for Urban Vehicle Speed Prediction.

Yuepeng He, Pengzhan Zhou, Yijun Zhai, Fang Qu, Zhida Qin, Mingyan Li, Songtao Guo

IEEE Trans. Cloud Comput., 2024

An intelligent recommendation strategy for integrated online courses in vocational education based on short-term preferences.

Fang Qu, Mingxuan Jiang, Yi Qu

Intell. Syst. Appl., 2024

FedRAV: Hierarchically Federated Region-Learning for Traffic Object Classification of Autonomous Vehicles.

Yijun Zhai, Pengzhan Zhou, Yuepeng He, Fang Qu, Zhida Qin, Xianlong Jiao, Guiyan Liu, Songtao Guo

Proceedings of the 20th International Conference on Mobility, Sensing and Networking, 2024

2022

Research on remote sensing image classification method using two-stream convolutional neural network.

Kai Peng, Juan Hu, Siyu Liu, Fang Qu, Houqun Yang, Jing Chen

Int. J. Wirel. Mob. Comput., 2022

2020

Research on Detection and Identification of Dense Rebar Based on Lightweight Network.

Fang Qu, Caimao Li, Kai Peng, Cong Qu, Chengrong Lin

Proceedings of the Data Science, 2020

2018

The Design of Low-Power and High-Precision Electronic Scale Based on Single Chip.

Dun Liu, Fang Qu

Proceedings of the Communications, Signal Processing, and Systems, 2018

2017

An effective face recognition algorithm based on parallel local phase quantization and matching degree.

Haitao Sang, Zhen Zhou, Fang Qu, Qiao Ke

J. Intell. Fuzzy Syst., 2017