Zehua Fu

925 total citations · 1 hit paper
12 papers, 513 citations indexed

About

Zehua Fu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Aerospace Engineering. According to data from OpenAlex, Zehua Fu has authored 12 papers receiving a total of 513 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computer Vision and Pattern Recognition, 5 papers in Artificial Intelligence and 2 papers in Aerospace Engineering. Recurrent topics in Zehua Fu's work include Human Pose and Action Recognition (4 papers), Video Surveillance and Tracking Methods (3 papers) and Advanced Image and Video Retrieval Techniques (3 papers). Zehua Fu is often cited by papers focused on Human Pose and Action Recognition (4 papers), Video Surveillance and Tracking Methods (3 papers) and Advanced Image and Video Retrieval Techniques (3 papers). Zehua Fu collaborates with scholars based in China. Zehua Fu's co-authors include Qingjie Liu, Yunhong Wang, Zhihong Fu, Yunhong Wang, Ye Du, Zhihong Fu, Xun Gong, Yuyu Chen, Xunxun Chen and Rui He and has published in prestigious journals such as IEEE Transactions on Image Processing, IEEE Transactions on Intelligent Transportation Systems and IEEE Transactions on Multimedia.

In The Last Decade

Zehua Fu

10 papers receiving 507 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

STMTrack: Template-free Visual Tracking with Space-time Memory Networks

2021 230 citations Zhihong Fu, Qingjie Liu et al. profile →

Peers

Countries citing papers authored by Zehua Fu

Since Specialization

Citations

This map shows the geographic impact of Zehua Fu's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Zehua Fu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zehua Fu more than expected).

Fields of papers citing papers by Zehua Fu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Zehua Fu. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Zehua Fu. The network helps show where Zehua Fu may publish in the future.

Co-authorship network of co-authors of Zehua Fu

This figure shows the co-authorship network connecting the top 25 collaborators of Zehua Fu. A scholar is included among the top collaborators of Zehua Fu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Zehua Fu. Zehua Fu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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12 of 12 papers shown

#	Work	Indexed citations
1	De-Simplifying Pseudo Labels to Enhancing Domain Adaptive Object Detection 2025 ·IEEE Transactions on Intelligent Transportation Systems ·Zehua Fu, (unknown), Yuyu Chen, (unknown), Qingjie Liu, Yunhong Wang	0
2	GeoBEV: Learning Geometric BEV Representation for Multi-view 3D Object Detection 2025 ·Proceedings of the AAAI Conference on Artificial Intelligence ·(unknown), (unknown), (unknown), Zehua Fu, Qingjie Liu, Yunhong Wang	2
3	Pixel-Level Domain Adaptation: A New Perspective for Enhancing Weakly Supervised Semantic Segmentation 2024 ·IEEE Transactions on Image Processing ·Ye Du, Zehua Fu, Qingjie Liu	3
4	Learning group interaction for sports video understanding from a perspective of athlete 2023 ·Frontiers of Computer Science ·Rui He, Zehua Fu, Qingjie Liu, Yunhong Wang, Xunxun Chen	0
5	Improving Multi-Person Pose Tracking With a Confidence Network 2023 ·IEEE Transactions on Multimedia ·Zehua Fu, (unknown), (unknown), Qingjie Liu, Yunhong Wang	4
6	Visual Grounding with Transformers 2022 ·2022 IEEE International Conference on Multimedia and Expo (ICME) ·Ye Du, Zehua Fu, Qingjie Liu, Yunhong Wang	36
7	LgNet: A Local-Global Network for Action Recognition and Beyond 2022 ·IEEE Transactions on Multimedia ·(unknown), Zehua Fu, (unknown), Qingjie Liu, Yunhong Wang	9
8	SparseTT: Visual Tracking with Sparse Transformers 2022 ·Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence ·Zhihong Fu, Zehua Fu, Qingjie Liu, (unknown), Yunhong Wang	108
9	Weakly Supervised Semantic Segmentation by Pixel-to-Prototype Contrast 2022 ·2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) ·Ye Du, Zehua Fu, Qingjie Liu, Yunhong Wang	117
10	Sparse Relation Graph for Group Activity Recognition 2022 ·Rui He, Zehua Fu, Qingjie Liu, Yunhong Wang, Xunxun Chen	2
11	STMTrack: Template-free Visual Tracking with Space-time Memory Networks breakdown → 2021 ·Zhihong Fu, Qingjie Liu, Zehua Fu, Yunhong Wang	230
12	A two-stage estimation method for depth estimation of facial landmarks 2015 ·Xun Gong, Zehua Fu, (unknown), (unknown)	2

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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