Xumin Yu

1.7k total citations · 2 hit papers
12 papers, 945 citations indexed

About

Xumin Yu is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics and Geology. According to data from OpenAlex, Xumin Yu has authored 12 papers receiving a total of 945 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Vision and Pattern Recognition, 6 papers in Computational Mechanics and 5 papers in Geology. Recurrent topics in Xumin Yu's work include 3D Surveying and Cultural Heritage (5 papers), 3D Shape Modeling and Analysis (5 papers) and Computer Graphics and Visualization Techniques (4 papers). Xumin Yu is often cited by papers focused on 3D Surveying and Cultural Heritage (5 papers), 3D Shape Modeling and Analysis (5 papers) and Computer Graphics and Visualization Techniques (4 papers). Xumin Yu collaborates with scholars based in China and United States. Xumin Yu's co-authors include Jiwen Lu, Jie Zhou, Yongming Rao, Lulu Tang, Tiejun Huang, Ziyi Wang, Zuyan Liu, Wenliang Zhao, Jinglin Xu and Guangyi Chen and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Scientific Reports and IEEE Transactions on Circuits and Systems for Video Technology.

In The Last Decade

Xumin Yu

12 papers receiving 931 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.

Point-BERT: Pre-training 3D Point Cloud Transformers with Masked Point Modeling

2022 385 citations Xumin Yu, Lulu Tang et al. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) profile →
PoinTr: Diverse Point Cloud Completion with Geometry-Aware Transformers

2021 293 citations Xumin Yu, Yongming Rao et al. 2021 IEEE/CVF International Conference on Computer Vision (ICCV) profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Xumin Yu China	10	516	438	361	212	184	12	945
Ruihui Li China	12	570 1.1×	421 1.0×	276 0.8×	170 0.8×	319 1.7×	27	846
Wentao Yuan United States	6	451 0.9×	419 1.0×	305 0.8×	141 0.7×	231 1.3×	9	794
Maxim Tatarchenko Germany	6	800 1.6×	673 1.5×	446 1.2×	249 1.2×	382 2.1×	10	1.2k
Yan‐Pei Cao China	17	622 1.2×	576 1.3×	317 0.9×	125 0.6×	422 2.3×	57	1.1k
Yuchun Huang China	14	387 0.8×	289 0.7×	424 1.2×	356 1.7×	99 0.5×	47	1.0k
Xianzhi Li China	11	589 1.1×	394 0.9×	298 0.8×	183 0.9×	307 1.7×	21	841
Paul Guerrero United States	12	517 1.0×	479 1.1×	246 0.7×	151 0.7×	347 1.9×	37	879
Fangzhou Hong Singapore	11	333 0.6×	581 1.3×	155 0.4×	210 1.0×	111 0.6×	20	874
Gernot Riegler Austria	9	836 1.6×	703 1.6×	547 1.5×	318 1.5×	357 1.9×	12	1.3k
Christian Häne United States	20	354 0.7×	979 2.2×	256 0.7×	154 0.7×	309 1.7×	33	1.4k

Countries citing papers authored by Xumin Yu

Since Specialization

Citations

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

Fields of papers citing papers by Xumin Yu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xumin Yu

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

12 of 12 papers shown

Wang, Ziyi, Yongming Rao, Xumin Yu, Jie Zhou, & Jiwen Lu. (2024). Point-to-Pixel Prompting for Point Cloud Analysis With Pre-Trained Image Models. IEEE Transactions on Pattern Analysis and Machine Intelligence. 46(6). 4381–4397. 5 indexed citations

Yu, Xumin, Yongming Rao, Ziyi Wang, Jiwen Lu, & Jie Zhou. (2023). AdaPoinTr: Diverse Point Cloud Completion With Adaptive Geometry-Aware Transformers. IEEE Transactions on Pattern Analysis and Machine Intelligence. 45(12). 14114–14130. 48 indexed citations

Wang, Ziyi, Xumin Yu, Yongming Rao, Jie Zhou, & Jiwen Lu. (2023). Take-A-Photo: 3D-to-2D Generative Pre-training of Point Cloud Models. 5617–5627. 10 indexed citations

Wang, Ziyi, Yongming Rao, Xumin Yu, Jie Zhou, & Jiwen Lu. (2022). SemAffiNet: Semantic-Affine Transformation for Point Cloud Segmentation. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 11809–11819. 11 indexed citations

Xu, Jinglin, Yongming Rao, Xumin Yu, et al.. (2022). FineDiving: A Fine-grained Dataset for Procedure-aware Action Quality Assessment. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 2939–2948. 62 indexed citations

Yu, Xumin, Lulu Tang, Yongming Rao, et al.. (2022). Point-BERT: Pre-training 3D Point Cloud Transformers with Masked Point Modeling. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 19291–19300. 385 indexed citations breakdown →

Tang, Yansong, et al.. (2022). Learning from Temporal Spatial Cubism for Cross-Dataset Skeleton-based Action Recognition. ACM Transactions on Multimedia Computing Communications and Applications. 18(2). 1–24. 16 indexed citations

Yu, Xumin, Yongming Rao, Ziyi Wang, et al.. (2021). PoinTr: Diverse Point Cloud Completion with Geometry-Aware Transformers. 2021 IEEE/CVF International Conference on Computer Vision (ICCV). 12478–12487. 293 indexed citations breakdown →

Yu, Xumin, Yongming Rao, Wenliang Zhao, Jiwen Lu, & Jie Zhou. (2021). Group-aware Contrastive Regression for Action Quality Assessment. 2021 IEEE/CVF International Conference on Computer Vision (ICCV). 7899–7908. 69 indexed citations

10.

Qin, Zengyi, et al.. (2020). Learning fine-grained estimation of physiological states from coarse-grained labels by distribution restoration. Scientific Reports. 10(1). 21947–21947. 3 indexed citations

11.

Tang, Yansong, Yi Wei, Xumin Yu, Jiwen Lu, & Jie Zhou. (2020). Graph Interaction Networks for Relation Transfer in Human Activity Videos. IEEE Transactions on Circuits and Systems for Video Technology. 30(9). 2872–2886. 34 indexed citations

12.

Jiang, Xiaoxiao, et al.. (2018). Investigation on Laser-Induced Shock Pressure with Condensed Matter Model and Experimental Verification. Experimental Techniques. 43(2). 161–167. 9 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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