Jingtuo Liu

3.8k total citations
27 papers, 1.1k citations indexed

About

Jingtuo Liu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Jingtuo Liu has authored 27 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Computer Vision and Pattern Recognition, 9 papers in Artificial Intelligence and 5 papers in Signal Processing. Recurrent topics in Jingtuo Liu's work include Generative Adversarial Networks and Image Synthesis (10 papers), Face recognition and analysis (9 papers) and Handwritten Text Recognition Techniques (7 papers). Jingtuo Liu is often cited by papers focused on Generative Adversarial Networks and Image Synthesis (10 papers), Face recognition and analysis (9 papers) and Handwritten Text Recognition Techniques (7 papers). Jingtuo Liu collaborates with scholars based in China, Australia and Singapore. Jingtuo Liu's co-authors include Junyu Han, Errui Ding, Zhibin Hong, Chengquan Zhang, Zhihang Li, Xuan Li, Tao Liu, Deli Yu, Feifei Ma and Fan Zhang and has published in prestigious journals such as International Journal of Computer Vision, IEEE Transactions on Information Forensics and Security and 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

In The Last Decade

Jingtuo Liu

25 papers receiving 1.1k citations

Peers

Jingtuo Liu

CVPR

CSE

Zhibin Hong China

Guorong Xuan China

Heri Prasetyo Indonesia

Ling‐Hwei Chen Taiwan

Jae‐Pil Heo South Korea

Renjie Wan Singapore

Shunta Saito Japan

Zongxin Yang China

Fangneng Zhan Singapore

Zhibin Hong China

Jingtuo Liu

663 ×0.7

CVPR

224 ×0.7

78 ×0.4

81 ×0.6

26 ×0.7

CSE

Citations per year, relative to Jingtuo Liu Jingtuo Liu (= 1×) peers Zhibin Hong

Countries citing papers authored by Jingtuo Liu

Since Specialization

Citations

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

Fields of papers citing papers by Jingtuo Liu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jingtuo Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Jingtuo Liu. A scholar is included among the top collaborators of Jingtuo Liu 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 Jingtuo Liu. Jingtuo Liu 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:

20 of 20 papers shown

Tang, Jiaxiang, Kaisiyuan Wang, Hang Zhou, et al.. (2025). Real-Time Neural Radiance Talking Portrait Synthesis via Audio-Spatial Decomposition. International Journal of Computer Vision. 133(9). 6362–6373. 7 indexed citations

Liu, Xing, Zhengyang Shen, Chen Zhao, et al.. (2024). HD-Fusion: Detailed Text-to-3D Generation Leveraging Multiple Noise Estimation. 3190–3199. 10 indexed citations

Liu, Jialun, Chenming Wu, Xinqi Liu, et al.. (2024). TexOct: Generating Textures of 3D Models with Octree-based Diffusion. 4284–4293.

Wang, Kaisiyuan, Hang Zhou, Qianyi Wu, et al.. (2023). Efficient Video Portrait Reenactment via Grid-based Codebook. 1–9. 2 indexed citations

Wang, Kaisiyuan, Jiaxiang Tang, Qianyi Wu, et al.. (2023). Robust Video Portrait Reenactment via Personalized Representation Quantization. Proceedings of the AAAI Conference on Artificial Intelligence. 37(2). 2564–2572. 2 indexed citations

Zhou, Hang, Kaisiyuan Wang, Dongliang He, et al.. (2023). StyleSync: High-Fidelity Generalized and Personalized Lip Sync in Style-Based Generator. 1505–1515. 25 indexed citations

Sun, Yasheng, Hang Zhou, Kaisiyuan Wang, et al.. (2022). Masked Lip-Sync Prediction by Audio-Visual Contextual Exploitation in Transformers. 1–9. 11 indexed citations

Xu, Zhiliang, Zhibin Hong, Changxing Ding, et al.. (2022). MobileFaceSwap: A Lightweight Framework for Video Face Swapping. Proceedings of the AAAI Conference on Artificial Intelligence. 36(3). 2973–2981. 40 indexed citations

Sun, Y. J., Xiongwei Zhu, Jie Chen, et al.. (2022). ViSTA: Vision and Scene Text Aggregation for Cross-Modal Retrieval. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 5174–5183. 51 indexed citations

10.

Tang, Licheng, Jiaming Liu, Zhibin Hong, et al.. (2022). Few-Shot Font Generation by Learning Fine-Grained Local Styles. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 7885–7894. 37 indexed citations

11.

Li, Yulin, Chengquan Zhang, Yan Liu, et al.. (2021). StrucTexT: Structured Text Understanding with Multi-Modal Transformers. 1912–1920. 54 indexed citations

12.

Bi, Li, Teng Xi, Gang Zhang, et al.. (2021). Dynamic Class Queue for Large Scale Face Recognition In the Wild. 3762–3771. 14 indexed citations

13.

Wang, Pengfei, Chengquan Zhang, Fei Qi, et al.. (2021). PGNet: Real-time Arbitrarily-Shaped Text Spotting with Point Gathering Network. Proceedings of the AAAI Conference on Artificial Intelligence. 35(4). 2782–2790. 52 indexed citations

14.

Xu, Zhiliang, Xiyu Yu, Zhibin Hong, et al.. (2021). FaceController: Controllable Attribute Editing for Face in the Wild. Proceedings of the AAAI Conference on Artificial Intelligence. 35(4). 3083–3091. 27 indexed citations

15.

Liu, Yang, et al.. (2020). HAMBox: Delving Into Mining High-Quality Anchors on Face Detection. 13043–13051. 40 indexed citations

16.

Bi, Li, Chengquan Zhang, Zhibin Hong, et al.. (2020). Learning Global Structure Consistency for Robust Object Tracking. 229–237. 3 indexed citations

17.

Zhang, Fan, Yanqin Chen, Zhihang Li, et al.. (2019). ACFNet: Attentional Class Feature Network for Semantic Segmentation. 6797–6806. 213 indexed citations

18.

Li, Zhihang, Xu Tang, Xiang Wu, Jingtuo Liu, & Ran He. (2019). Progressively Refined Face Detection Through Semantics-Enriched Representation Learning. IEEE Transactions on Information Forensics and Security. 15. 1394–1406. 11 indexed citations

19.

Ding, Errui, Jingtuo Liu, Dìmosthenis Karatzas, et al.. (2019). ICDAR2019 Robust Reading Challenge on Arbitrary-Shaped Text - RRC-ArT. 1571–1576. 95 indexed citations

20.

Wu, Liang, Chengquan Zhang, Jiaming Liu, et al.. (2019). Editing Text in the Wild. 1500–1508. 52 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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