Yinlin Hu

1.4k total citations
20 papers, 486 citations indexed

About

Yinlin Hu is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering and Aerospace Engineering. According to data from OpenAlex, Yinlin Hu has authored 20 papers receiving a total of 486 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Computer Vision and Pattern Recognition, 9 papers in Control and Systems Engineering and 9 papers in Aerospace Engineering. Recurrent topics in Yinlin Hu's work include Robot Manipulation and Learning (9 papers), Robotics and Sensor-Based Localization (9 papers) and Advanced Vision and Imaging (6 papers). Yinlin Hu is often cited by papers focused on Robot Manipulation and Learning (9 papers), Robotics and Sensor-Based Localization (9 papers) and Advanced Vision and Imaging (6 papers). Yinlin Hu collaborates with scholars based in China, Switzerland and France. Yinlin Hu's co-authors include Rui Song, Yunsong Li, Mathieu Salzmann, Pascal Fua, Wenzel Jakob, Jiaojiao Li, Sébastien Speierer, Yangli Wang, Peng Rao and Vincent Lepetit and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Geoscience and Remote Sensing and IEEE Transactions on Circuits and Systems for Video Technology.

In The Last Decade

Yinlin Hu

20 papers receiving 463 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yinlin Hu China 11 354 156 117 75 49 20 486
Jinzhen Mu China 9 189 0.5× 123 0.8× 29 0.2× 24 0.3× 52 1.1× 30 326
Yalin Xiong United States 10 267 0.8× 126 0.8× 12 0.1× 82 1.1× 20 0.4× 27 364
Zhao Wang China 14 381 1.1× 47 0.3× 34 0.3× 32 0.4× 63 1.3× 73 580
Ouk Choi South Korea 12 306 0.9× 103 0.7× 17 0.1× 71 0.9× 21 0.4× 38 465
Fanbo Xiang United States 5 448 1.3× 62 0.4× 43 0.4× 14 0.2× 29 0.6× 9 541
Christophe Collewet France 9 396 1.1× 113 0.7× 41 0.4× 162 2.2× 21 0.4× 33 487
Chiun-Hong Chien United States 7 249 0.7× 156 1.0× 23 0.2× 25 0.3× 25 0.5× 18 348
Abhishek Kar United States 10 876 2.5× 130 0.8× 26 0.2× 71 0.9× 35 0.7× 12 988
Yongping Zhai China 9 323 0.9× 134 0.9× 35 0.3× 93 1.2× 163 3.3× 23 533

Countries citing papers authored by Yinlin Hu

Since Specialization
Citations

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

Fields of papers citing papers by Yinlin Hu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yinlin Hu

This figure shows the co-authorship network connecting the top 25 collaborators of Yinlin Hu. A scholar is included among the top collaborators of Yinlin Hu 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 Yinlin Hu. Yinlin Hu 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.
Hu, Yinlin, et al.. (2025). Free-Moving Object Reconstruction and Pose Estimation with Virtual Camera. Proceedings of the AAAI Conference on Artificial Intelligence. 39(7). 6860–6868. 1 indexed citations
2.
Groueix, Thibault, G. Ponimatkin, Yinlin Hu, et al.. (2024). NOPE: Novel Object Pose Estimation from a Single Image. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 17923–17932. 10 indexed citations
3.
Zhao, Chen, Yinlin Hu, & Mathieu Salzmann. (2024). LocPoseNet: Robust Location Prior for Unseen Object Pose Estimation. 1072–1081. 4 indexed citations
4.
Hu, Yinlin, et al.. (2023). Knowledge Distillation for 6D Pose Estimation by Aligning Distributions of Local Predictions. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 18633–18642. 8 indexed citations
5.
Liu, Fulin, Yinlin Hu, & Mathieu Salzmann. (2023). Linear-Covariance Loss for End-to-End Learning of 6D Pose Estimation. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 14061–14071. 2 indexed citations
6.
Hai, Yang, Rui Song, Jiaojiao Li, & Yinlin Hu. (2023). Shape-Constraint Recurrent Flow for 6D Object Pose Estimation. 4831–4840. 14 indexed citations
7.
Hai, Yang, Rui Song, Jiaojiao Li, Mathieu Salzmann, & Yinlin Hu. (2023). Rigidity-Aware Detection for 6D Object Pose Estimation. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 8927–8936. 10 indexed citations
8.
Hai, Yang, Rui Song, Jiaojiao Li, David Ferstl, & Yinlin Hu. (2023). Pseudo Flow Consistency for Self-Supervised 6D Object Pose Estimation. 14029–14039. 6 indexed citations
9.
Hu, Yinlin, et al.. (2022). Templates for 3D Object Pose Estimation Revisited: Generalization to New Objects and Robustness to Occlusions. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 6761–6770. 44 indexed citations
10.
Li, Jiaojiao, et al.. (2022). A Stepwise Domain Adaptive Segmentation Network With Covariate Shift Alleviation for Remote Sensing Imagery. IEEE Transactions on Geoscience and Remote Sensing. 60. 1–15. 47 indexed citations
11.
Hu, Yinlin, Sébastien Speierer, Wenzel Jakob, Pascal Fua, & Mathieu Salzmann. (2021). Wide-Depth-Range 6D Object Pose Estimation in Space. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 15865–15874. 77 indexed citations
12.
Wang, Wei, Zheng Dang, Yinlin Hu, Pascal Fua, & Mathieu Salzmann. (2021). Robust Differentiable SVD. IEEE Transactions on Pattern Analysis and Machine Intelligence. 44(9). 5472–5487. 29 indexed citations
13.
Li, Zhigang, Yinlin Hu, Mathieu Salzmann, & Xiangyang Ji. (2021). SD-Pose: Semantic Decomposition for Cross-Domain 6D Object Pose Estimation. Proceedings of the AAAI Conference on Artificial Intelligence. 35(3). 2020–2028. 9 indexed citations
14.
Dang, Zheng, Kwang Moo Yi, Yinlin Hu, et al.. (2020). Eigendecomposition-Free Training of Deep Networks for Linear Least-Square Problems. IEEE Transactions on Pattern Analysis and Machine Intelligence. 43(9). 3167–3182. 5 indexed citations
15.
Wang, Wei, Zheng Dang, Yinlin Hu, Pascal Fua, & Mathieu Salzmann. (2019). Backpropagation-Friendly Eigendecomposition. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 32. 3156–3164. 9 indexed citations
16.
Hu, Yinlin, Yunsong Li, Rui Song, Peng Rao, & Yangli Wang. (2017). Minimum barrier superpixel segmentation. Image and Vision Computing. 70. 1–10. 14 indexed citations
17.
Hu, Yinlin, Yunsong Li, & Rui Song. (2017). Robust Interpolation of Correspondences for Large Displacement Optical Flow. 4791–4799. 35 indexed citations
18.
Li, Yunsong, Yinlin Hu, Rui Song, Peng Rao, & Yangli Wang. (2017). Coarse-to-Fine PatchMatch for Dense Correspondence. IEEE Transactions on Circuits and Systems for Video Technology. 28(9). 2233–2245. 23 indexed citations
19.
Hu, Yinlin, Rui Song, Yunsong Li, Peng Rao, & Yangli Wang. (2016). Highly accurate optical flow estimation on superpixel tree. Image and Vision Computing. 52. 167–177. 17 indexed citations
20.
Hu, Yinlin, Rui Song, & Yunsong Li. (2016). Efficient Coarse-to-Fine Patch Match for Large Displacement Optical Flow. 122 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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