Chuhui Xue

985 total citations · 1 hit paper
10 papers, 284 citations indexed

About

Chuhui Xue is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Ocean Engineering. According to data from OpenAlex, Chuhui Xue has authored 10 papers receiving a total of 284 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Vision and Pattern Recognition, 3 papers in Artificial Intelligence and 1 paper in Ocean Engineering. Recurrent topics in Chuhui Xue's work include Handwritten Text Recognition Techniques (5 papers), Image Processing and 3D Reconstruction (3 papers) and Generative Adversarial Networks and Image Synthesis (2 papers). Chuhui Xue is often cited by papers focused on Handwritten Text Recognition Techniques (5 papers), Image Processing and 3D Reconstruction (3 papers) and Generative Adversarial Networks and Image Synthesis (2 papers). Chuhui Xue collaborates with scholars based in Singapore, Hong Kong and China. Chuhui Xue's co-authors include Shijian Lu, Wei Zhang, Song Bai, Fangneng Zhan, Wenqing Zhang, Jihan Yang, Xiaojuan Qi, Vincent Y. F. Tan, Hanshu Yan and Yujun Shi and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Pattern Recognition and 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

In The Last Decade

Chuhui Xue

9 papers receiving 273 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.

DragDiffusion: Harnessing Diffusion Models for Interactive Point-Based Image Editing

2024 43 citations Yujun Shi, Chuhui Xue et al. profile →

Peers

Chuhui Xue

CVPR

MT

AI

CM

CGCD

Zhuangzi Li China

C.L. Tan Singapore

Chunyi Li China

Yuval Bahat Israel

Zili Yi Canada

Ehsan Nezhadarya Canada

Dingquan Li China

Sezer Karaoğlu Netherlands

Jiaqi Lin China

Anton Obukhov Switzerland

Zhuangzi Li China

Chuhui Xue

169 ×0.7

CVPR

80 ×1.0

MT

35 ×0.6

AI

25 ×0.8

CM

11 ×0.4

CGCD

Citations per year, relative to Chuhui Xue Chuhui Xue (= 1×) peers Zhuangzi Li

Countries citing papers authored by Chuhui Xue

Since Specialization

Citations

This map shows the geographic impact of Chuhui Xue'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 Chuhui Xue with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chuhui Xue more than expected).

Fields of papers citing papers by Chuhui Xue

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chuhui Xue. 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 Chuhui Xue. The network helps show where Chuhui Xue may publish in the future.

Co-authorship network of co-authors of Chuhui Xue

This figure shows the co-authorship network connecting the top 25 collaborators of Chuhui Xue. A scholar is included among the top collaborators of Chuhui Xue 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 Chuhui Xue. Chuhui Xue is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

10 of 10 papers shown

1.

Yang, Jihan, et al.. (2024). Lowis3D: Language-Driven Open-World Instance-Level 3D Scene Understanding. IEEE Transactions on Pattern Analysis and Machine Intelligence. 46(12). 8517–8533. 7 indexed citations

2.

He, Ruifei, Chuhui Xue, Wenqing Zhang, et al.. (2024). Debiasing Text-to-Image Diffusion Models. 29–36.

3.

Shi, Yujun, Chuhui Xue, Jun Hao Liew, et al.. (2024). DragDiffusion: Harnessing Diffusion Models for Interactive Point-Based Image Editing. 8839–8849. 43 indexed citations breakdown →

4.

Shi, Yujun, Jian Liang, Wenqing Zhang, et al.. (2023). Understanding and Mitigating Dimensional Collapse in Federated Learning. IEEE Transactions on Pattern Analysis and Machine Intelligence. 46(5). 2936–2949. 8 indexed citations

5.

Xue, Chuhui, Jiaxing Huang, Wenqing Zhang, et al.. (2023). Image-to-Character-to-Word Transformers for Accurate Scene Text Recognition. IEEE Transactions on Pattern Analysis and Machine Intelligence. 45(11). 1–14. 13 indexed citations

6.

Yang, Jihan, et al.. (2023). PLA: Language-Driven Open-Vocabulary 3D Scene Understanding. 7010–7019. 44 indexed citations

7.

Xue, Chuhui, et al.. (2022). Fourier Document Restoration for Robust Document Dewarping and Recognition. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 4563–4572. 16 indexed citations

8.

Xue, Chuhui, Shijian Lu, & Steven C. H. Hoi. (2021). Detection and rectification of arbitrary shaped scene texts by using text keypoints and links. Pattern Recognition. 124. 108494–108494. 9 indexed citations

9.

Zhan, Fangneng, Chuhui Xue, & Shijian Lu. (2019). GA-DAN: Geometry-Aware Domain Adaptation Network for Scene Text Detection and Recognition. 9104–9114. 53 indexed citations

10.

Xue, Chuhui, Shijian Lu, & Wei Zhang. (2019). MSR: Multi-Scale Shape Regression for Scene Text Detection. 989–995. 91 indexed citations

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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