Dahu Shi

539 total citations · 1 hit paper
10 papers, 308 citations indexed

About

Dahu Shi is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Aerospace Engineering. According to data from OpenAlex, Dahu Shi has authored 10 papers receiving a total of 308 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Vision and Pattern Recognition, 5 papers in Artificial Intelligence and 2 papers in Aerospace Engineering. Recurrent topics in Dahu Shi's work include Advanced Image and Video Retrieval Techniques (4 papers), Human Pose and Action Recognition (4 papers) and Video Surveillance and Tracking Methods (4 papers). Dahu Shi is often cited by papers focused on Advanced Image and Video Retrieval Techniques (4 papers), Human Pose and Action Recognition (4 papers) and Video Surveillance and Tracking Methods (4 papers). Dahu Shi collaborates with scholars based in China. Dahu Shi's co-authors include Xing Wei, Yihong Gong, Yifan Bai, Wenming Tan, Shiliang Pu, Xiaodong Yu, De Cheng, Yanning Zhang, Shizhou Zhang and Yong Xia and has published in prestigious journals such as Neurocomputing, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) and Proceedings of the AAAI Conference on Artificial Intelligence.

In The Last Decade

Dahu Shi

10 papers receiving 304 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.

Autoregressive Visual Tracking

2023 148 citations Xing Wei, Yifan Bai et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Dahu Shi China	6	259	85	61	38	35	10	308
Hengduo Li United States	9	260 1.0×	107 1.3×	27 0.4×	16 0.4×	27 0.8×	12	315
Carlos Orrite Spain	10	251 1.0×	83 1.0×	20 0.3×	33 0.9×	63 1.8×	24	302
Xiujun Shu China	10	347 1.3×	86 1.0×	41 0.7×	13 0.3×	52 1.5×	12	437
Thang Ba Dinh Vietnam	7	451 1.7×	43 0.5×	92 1.5×	31 0.8×	18 0.5×	13	469
A. Jain United States	4	405 1.6×	55 0.6×	16 0.3×	56 1.5×	50 1.4×	5	431
Yicong Tian United States	3	264 1.0×	116 1.4×	19 0.3×	16 0.4×	31 0.9×	3	278
Graeme A. Jones United Kingdom	7	272 1.1×	46 0.5×	54 0.9×	10 0.3×	21 0.6×	14	316
J. Black United Kingdom	6	290 1.1×	67 0.8×	57 0.9×	8 0.2×	21 0.6×	8	330
Jinman Kang United States	9	376 1.5×	52 0.6×	103 1.7×	12 0.3×	16 0.5×	11	395
Elías Herrero Spain	10	234 0.9×	83 1.0×	21 0.3×	22 0.6×	39 1.1×	19	308

Countries citing papers authored by Dahu Shi

Since Specialization

Citations

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

Fields of papers citing papers by Dahu Shi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dahu Shi

This figure shows the co-authorship network connecting the top 25 collaborators of Dahu Shi. A scholar is included among the top collaborators of Dahu Shi 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 Dahu Shi. Dahu Shi 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.

Shi, Dahu, Wenming Tan, Zheyang Li, et al.. (2023). Learning Symmetry-Aware Geometry Correspondences for 6D Object Pose Estimation. 13999–14008. 11 indexed citations

2.

Wei, Xing, et al.. (2023). Autoregressive Visual Tracking. 9697–9706. 148 indexed citations breakdown →

3.

Miao, Jiaxu, Dahu Shi, Wenming Tan, et al.. (2023). Distilling DETR with Visual-Linguistic Knowledge for Open-Vocabulary Object Detection. 6478–6487. 5 indexed citations

4.

Li, Kaiwen, et al.. (2023). Atten-Adapter: A Unified Attention-Based Adapter for Efficient Tuning. 1265–1269. 3 indexed citations

5.

Shi, Dahu, et al.. (2022). End-to-End Multi-Person Pose Estimation with Transformers. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 11059–11068. 89 indexed citations

6.

Yu, Xiaodong, et al.. (2022). SOIT: Segmenting Objects with Instance-Aware Transformers. Proceedings of the AAAI Conference on Artificial Intelligence. 36(3). 3188–3196. 14 indexed citations

7.

Shi, Dahu, et al.. (2021). InsPose: Instance-Aware Networks for Single-Stage Multi-Person Pose Estimation. 3079–3087. 23 indexed citations

8.

Yang, Qiang, Zhijian Yang, Dahu Shi, et al.. (2020). Accurate Classification System for Patients with COVID-19 Based on Prognostic Nomograms. SSRN Electronic Journal. 1 indexed citations

9.

Zhang, Shizhou, De Cheng, Yihong Gong, et al.. (2017). Pedestrian search in surveillance videos by learning discriminative deep features. Neurocomputing. 283. 120–128. 13 indexed citations

10.

Shi, Dahu, Shun Zhang, Jinjun Wang, & Yihong Gong. (2015). Detection and Association Based Multi-target Tracking in Surveillance Video. 377–382. 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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