Zhaofan Qiu

5.7k total citations · 1 hit paper
40 papers, 2.7k citations indexed

About

Zhaofan Qiu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computational Mechanics. According to data from OpenAlex, Zhaofan Qiu has authored 40 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Computer Vision and Pattern Recognition, 15 papers in Artificial Intelligence and 4 papers in Computational Mechanics. Recurrent topics in Zhaofan Qiu's work include Human Pose and Action Recognition (21 papers), Multimodal Machine Learning Applications (14 papers) and Domain Adaptation and Few-Shot Learning (9 papers). Zhaofan Qiu is often cited by papers focused on Human Pose and Action Recognition (21 papers), Multimodal Machine Learning Applications (14 papers) and Domain Adaptation and Few-Shot Learning (9 papers). Zhaofan Qiu collaborates with scholars based in China, United States and Singapore. Zhaofan Qiu's co-authors include Ting Yao, Tao Mei, Yiheng Zhang, Jiebo Luo, Xinmei Tian, Dong Liu, Fuchen Long, Yingwei Pan, Chong‐Wah Ngo and Houqiang Li and has published in prestigious journals such as IEEE Transactions on Image Processing, International Journal of Computer Vision and IEEE Transactions on Multimedia.

In The Last Decade

Zhaofan Qiu

35 papers receiving 2.6k citations

Hit Papers

Learning Spatio-Temporal Representation with Pseudo-3D Re... 2017 2026 2020 2023 2017 250 500 750 1000
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.

  1. Learning Spatio-Temporal Representation with Pseudo-3D Residual Networks
    2017 1.2k citations Zhaofan Qiu, Ting Yao et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Zhaofan Qiu China 19 2.3k 1.2k 486 258 132 40 2.7k
Efstratios Gavves Netherlands 24 2.7k 1.2× 1.4k 1.2× 637 1.3× 303 1.2× 145 1.1× 67 3.2k
Basura Fernando Australia 24 2.4k 1.1× 1.2k 1.0× 546 1.1× 280 1.1× 117 0.9× 58 2.8k
Manohar Paluri United States 14 2.7k 1.2× 1.3k 1.1× 537 1.1× 297 1.2× 126 1.0× 16 3.4k
Du Tran United States 17 2.9k 1.3× 1.6k 1.3× 607 1.2× 340 1.3× 143 1.1× 26 3.6k
Dima Damen United Kingdom 22 1.9k 0.8× 692 0.6× 323 0.7× 214 0.8× 73 0.6× 89 2.5k
Hirokatsu Kataoka Japan 15 1.8k 0.8× 973 0.8× 338 0.7× 214 0.8× 118 0.9× 84 2.4k
Yutaka Satoh Japan 17 1.9k 0.9× 889 0.7× 334 0.7× 257 1.0× 119 0.9× 95 2.6k
Joanna Materzyńska Mexico 6 2.0k 0.9× 1.1k 0.9× 215 0.4× 155 0.6× 144 1.1× 6 2.3k
Ji Lin China 17 1.8k 0.8× 952 0.8× 371 0.8× 166 0.6× 47 0.4× 42 2.3k
Hakan Bilen United Kingdom 17 1.4k 0.6× 985 0.8× 220 0.5× 118 0.5× 74 0.6× 51 1.9k

Countries citing papers authored by Zhaofan Qiu

Since Specialization
Citations

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

Fields of papers citing papers by Zhaofan Qiu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhaofan Qiu

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

All Works

20 of 20 papers shown
1.
Zhang, Yiheng, Zhaofan Qiu, Yehao Li, et al.. (2025). Identity-Preserving Video Generation Challenge. 13737–13742.
2.
Long, Fuchen, Zhaofan Qiu, Yingwei Pan, et al.. (2025). MotionPro: A Precise Motion Controller for Image-to-Video Generation*. 27957–27967.
3.
Zhang, Yiheng, Zhaofan Qiu, Ting Yao, et al.. (2024). FreeEnhance: Tuning-Free Image Enhancement via Content-Consistent Noising-and-Denoising Process. 7075–7084.
4.
Qiu, Zhaofan, et al.. (2024). Learning Temporal Dynamics in Videos With Image Transformer. IEEE Transactions on Multimedia. 26. 8915–8927.
5.
Chen, Zhikai, Fuchen Long, Zhaofan Qiu, et al.. (2024). A Closer Look at the Reflection Formulation in Single Image Reflection Removal. IEEE Transactions on Image Processing. 33. 625–638. 5 indexed citations
6.
Chen, Zhikai, Fuchen Long, Zhaofan Qiu, et al.. (2024). Learning 3D Shape Latent for Point Cloud Completion. IEEE Transactions on Multimedia. 26. 8717–8729. 8 indexed citations
7.
Long, Fuchen, Yingwei Pan, Zhaofan Qiu, et al.. (2024). TRIP: Temporal Residual Learning with Image Noise Prior for Image-to-Video Diffusion Models. 8671–8681. 7 indexed citations
8.
Zhang, Yiheng, Ting Yao, Zhaofan Qiu, & Tao Mei. (2023). Explaining Cross-domain Recognition with Interpretable Deep Classifier. ACM Transactions on Multimedia Computing Communications and Applications. 20(3). 1–21. 2 indexed citations
9.
Long, Fuchen, Ting Yao, Zhaofan Qiu, et al.. (2023). Bi-calibration Networks for Weakly-Supervised Video Representation Learning. International Journal of Computer Vision. 131(7). 1704–1721. 2 indexed citations
10.
Qiu, Zhaofan, et al.. (2023). Prototypical Matching Networks for Video Object Segmentation. IEEE Transactions on Image Processing. 32. 5623–5636. 8 indexed citations
11.
Zhang, Yiheng, Ting Yao, Zhaofan Qiu, & Tao Mei. (2023). Lightweight and Progressively-Scalable Networks for Semantic Segmentation. International Journal of Computer Vision. 131(8). 2153–2171. 20 indexed citations
12.
Zhang, Yiheng, et al.. (2023). CARIS: Context-Aware Referring Image Segmentation. 779–788. 11 indexed citations
13.
Zhang, Yiheng, Zhaofan Qiu, Yingwei Pan, Ting Yao, & Tao Mei. (2023). Learning Neural Implicit Surfaces with Object-Aware Radiance Fields. 17847–17856. 2 indexed citations
14.
Long, Fuchen, et al.. (2023). PointClustering: Unsupervised Point Cloud Pre-training using Transformation Invariance in Clustering. 21824–21834. 9 indexed citations
15.
Long, Fuchen, Zhaofan Qiu, Yingwei Pan, et al.. (2022). Stand-Alone Inter-Frame Attention in Video Models. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 3182–3191. 41 indexed citations
16.
Long, Fuchen, Ting Yao, Zhaofan Qiu, et al.. (2019). Coarse-to-Fine Localization of Temporal Action Proposals. IEEE Transactions on Multimedia. 22(6). 1577–1590. 24 indexed citations
17.
Li, Dong, Ting Yao, Zhaofan Qiu, Houqiang Li, & Tao Mei. (2019). Long Short-Term Relation Networks for Video Action Detection. 629–637. 18 indexed citations
18.
Qiu, Zhaofan, Ting Yao, & Tao Mei. (2017). Learning Spatio-Temporal Representation with Pseudo-3D Residual Networks. 5534–5542. 1194 indexed citations breakdown →
19.
Pan, Yingwei, Zhaofan Qiu, Ting Yao, Houqiang Li, & Tao Mei. (2017). To Create What You Tell. 1789–1798. 77 indexed citations
20.
Zhang, Hao, Yijie Lu, Maaike de Boer, et al.. (2015). VIREO-TNO @ TRECVID 2015: Multimedia Event Detection and Video Hyperlinking.. TRECVID. 1 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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